Security Vision - User contributions [en]

Vivotek video surveillance deployed on N4 toll road, South Africa

2022-12-19T14:14:14Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2022-02-11|Documented|digitalsecuritymagazineTollRouteSouth2022}}
|City=Maputo, Pretoria
|Country=South Africa
|managed by=Trans Africa Concessions
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
|Summary=The N4 road runs 630km between Pretoria, South Africa and Maputo, Mozambique. A new Vivotek solution was installed along the roads and in the toll booths. Like a similar deployment in Zambia, Vivotek VAST 2 VMS is in use, which has integrated facial recognition and smart search functions. Therefore although it is not stated that facial recognition is definitely in use, it can be speculated that it is as well as other forms of smart video analysis such as person detection which are facilitated by VAST 2. License plate recognition is certainly in use.
}}
The N4 toll road is 630km long and runs from Pretoria to Maputo, Mozambique. VAST 2 has integrated facial recognition as well as a number of other smart features, as detailed in the brochure [[CiteRef::vivotekVASTBROCHUREVideo2022]].

<blockquote> Surveillance on the N4 route is integrated, Mainly, by analog cameras and DVRs. Swap outdated analog equipment for IP surveillance along 630 kilometers poses a great challenge, without taking into account the need for a smooth transition without disrupting daily toll operations. Commissioned by Trans Africa Concessions (TRAC), Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to upgrade and replace hundreds of cameras on the N4 toll road. This has included upgrading many individual DVRs to a centrally managed system., using VAST software 2 by Vivotek [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Inside the toll booths there are also cameras.

<blockquote> Inside the toll booths, along the N4, have been installed 105 Vivotek cameras IT9389-H to record high-quality audiovisual data as evidence in case of disputes. The IT9389-H outdoor turret cameras 5 megapixels have Supreme Night Visibility (Snv) And 120 dB WDR Pro, ensuring high-resolution images at 30 fps at any time of the day [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

ZTE video surveillance deployed in Addis Ababa

2022-12-19T12:31:33Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=lugt13ExploringPolitical2021, zteZTEBuildHighTech2010
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2010-01-02|Speculative|sudantribuneEthiopiaInstallingStreet2010}}
|City=Addis Ababa
|Country=Ethiopia
|managed by=Government of Ethiopia
|Involved Entities=ZTE Corporation
|Software Deployed=Unknown Products 0118
|Summary=In 2009, ZTE Corporation won the bidding to install a camera network system in Addis Ababa, Ethiopa's capital. The surveillance division of ZTE, ZTE NetView, was drafted to install the system. In 2010 they installed cameras around major streets. The cameras provide 'real time' integrated surveillance of the city. While no biometric surveillance technologies appear to be in use, ZTE also provides these 'peace city' solutions to China where facial recognition is often a feature of the systems. Features such as facial recognition could easily be added to a system such as this. In Ethiopia, ZTE competes with Huawei for the biggest share in the ICT market. These moves are viewed by scholars as part of the Chinese Belt and Road initiative.
}}
In late 2009, Chinese firm ZTE won a contract to supply an 'integrated' [[CiteRef::znvZTENetViewCreates2022camera]] network for real-time surveillance of Addis Abbaba [[CiteRef::zteZTEBuildHighTech2010]]. The system was deployed by the surveillance division of ZTE, ZTE NetView.

<blockquote> With a 15-year R&D history, ZTE ViewEye® video surveillance solution has earned a good reputation and topped the market share in government security projects and “peace city” projects in China [[CiteRef::znvZTENetViewCreates2022]] </blockquote>

<blockquote> As nation prepares to conduct national election, Ethiopia federal police is planting security cameras in major streets of the capital, Addis Ababa. There are growing rumors that the surveillance cameras are purposely meant to monitor and control a possible post-election violence and there by to hunt down responsible ones [[CiteRef::sudantribuneEthiopiaInstallingStreet2010]] </blockquote>

Huawei is also a s significant player in the ICT market for Ethiopia. However, ZTE maintains control. These moves for dominance of the ICT sector are seen as part of Chinas Digital Belt and Road Initiatives by scholars.

<blockquote> From 2008 to 2013, the Chinese firm ZTE was the only telecom vendor building telecom infrastructure in Ethiopia. Since 2013, ZTE has shared this market with the large Chinese company Huawei. These two Chinese firms have each gained a 50% share in the carrying out of a US$1.6 billion project to introduce 4G in Addis Ababa and expand 3G services around the country (Maasho 2013). In 2014, the Swedish company Ericsson took over part of ZTE’s share in this project because the Ethiopian government had disagreed with ZTE about the costs of upgrading an existing network (Reuter s 2 01 4).3 However, in 2016 Huawei took over a 3G project that was part of Ericsson’s share (Fikade 2016). Huawei and ZTE, therefore, continue to dominate the telecom infrastructure market in Ethiopia [[CiteRef::lugt13ExploringPolitical2021]] </blockquote>

CloudWalk facial recognition deployed in Zimbabwe

2022-12-19T12:18:10Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=mudzingwaMnangagwaGovtGetting2018, chutelChinaExportingFacial2018, swartVideoSurveillanceSouthern2020, nashCloudWalkHasZimbabwean2022, hawkinsBeijingBigBrother2018, businesswriterTelOneLaunchNeoface2018
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition
|Has event={{HasEvent|Start|2018-03-02|Documented|nashCloudWalkHasZimbabwean2022}}
|City=Harare
|Country=Zimbabwe
|managed by=Government of Zimbabwe, TelOne
|used by=Zimbabwe Republic Police
|Involved Entities=Zimbabwe Defence Forces
|Datasets Used=CloudWalk (FR Datset), Unknown Dataset 0187
|Software Deployed=CloudWalk (Facial recognition)
|Summary=In 2018, it was announced that a mass facial recognition system would be deployed by CloudWalk in Zimbabwe. This forms part of the Chinese Belt and Road Initiative. CloudWalk stated they would be providing a full suite of surveillance technology tools across sectors. CloudWalk is a Chinese company which supplies cloud policing tools in China. The primary element of this deployment is the use of facial recognition from CloudWalk to develop a large dataset. CloudWalk's later iterations of recognition can identify gait and hairstyles. Another element of the deployment identified by reporters is the utility of training the datatset on darker skin tones for CloudWalk. A final element identified by civil society is the use of the surveillance technologies to identify dissenters and influence elections. A biometric voter roll is being prepared from the database. Huawei has also been linked to the deployment of smart city technologies upon which the facial recognition systems are to run, with Hikvision cameras, for the purposes of this surveillance system. They have at certain points denied this linkage. TelOne, the Zimbabwe telecommunications company, has also been linked to the deployment of facial recognition around the country for this effort.
}}
{{Subobject Uncertain Information
|Propertyname=Involved Entities
|value=Huawei, Hikvision
|Certainty=Rumoured
|Citekey=swartVideoSurveillanceSouthern2020
|Description=Many link Huawei with the contracts but Huawei themselves deny the linkage
}}
In 2018, Zimbabwe began installing CloudWalk surveillance technologies in major cities. CloudWalk, a Chinese company, was selected. The deal is part of China's Belt and Road initiative. CloudWalk supply facial recognition and cloud based policing tools in China. Zimbabwe and China have development and foreign policy relations [[CiteRef::hawkinsBeijingBigBrother2018]]. The system has been described as an element of the active military driven surveillance in the country [[CiteRef::munoriyarwaMilitarizationDigitalSurveillance2022]] </blockquote>. It is also feared that the technology will be used to influence upcoming elections and suppress political dissent [[CiteRef::swartVideoSurveillanceSouthern2020]] [[CiteRef::chimhangwaHowArtificialIntelligence2022]]. A biometric voter roll for Zimbabwe is also being prepared from the CloudWalk database [[CiteRef::nashCloudWalkHasZimbabwean2022]].

<blockquote> In March, the Zimbabwean government signed a strategic partnership with the Gunagzhou-based startup CloudWalk Technology to begin a large-scale facial recognition program throughout the country. The agreement, backed by the Chinese government’s Belt and Road initiative, will see the technology primarily used in security and law enforcement and will likely be expanded to other public programs. “The Zimbabwean government did not come to Guangzhou purely for AI or facial ID technology, rather it had a comprehensive package plan for such areas as infrastructure, technology and biology,” CloudWalk CEO Yao Zhiqiang told China’s Global Times [[CiteRef::chutelChinaExportingFacial2018]] </blockquote>

The system has been termed mass facial recognition system. One element of the deployment has been the expansion of CloudWalks dataset to include darker skin tones and the ability to identify different 'races' [[CiteRef::hawkinsBeijingBigBrother2018]] </blockquote>.

<blockquote> Cloudwalk technology was launched in February this year which means Zimbabwe is one of the first countries to adopt this kind of technology. The technology has been described as 3D light facial technology. It’s been touted as a better service than 2D facial recognition. 2D facial recognition was not reliable because it could not easily recognize darker skin shades which limited it’s functionality [[CiteRef::mudzingwaMnangagwaGovtGetting2018]] </blockquote>

<blockquote> In 2018, Zimbabwe entered into a strategic cooperation partnership with Chinese start up CloudWalk Technology, under which the government would gain access to a facial recognition database that it could use for all kinds of purposes. These uses would range from easier policing under the Smart cities initiative to tracking down political dissidents among others. In return, China gains access to this database of Zimbabwean citizens in order to train its algorithms and improve the ability of its surveillance systems to recognize darker skinned tones. The agreement is being implemented in stages and will soon reach development of camera and network infrastructure in Zimbabwe. AI driven facial recognition software has historically had difficulties with recognizing such skin tones and with this harvesting of Zimbabweans’ personal data, China will gain a globally competitive edge in the AI market [[CiteRef::chimhangwaHowArtificialIntelligence2022]] </blockquote>

It has been reported that Huawei will be responsible for the deployment of Hikvision cameras in some cities. Huawei deny the linkages.

<blockquote> In the most recent development in March 2020, it was reported that Huawei had allegedly already received US$20 million to start the installation of a grid of public surveillance cameras, as part of a larger Smart City Project (presumably in the capital of Harare) with a budget of US$100 over the next five years. It was further alleged that Hikvision and CloudWalk Technology would supply facial recognition software for the project. Huawei has denied the reports [[CiteRef::swartVideoSurveillanceSouthern2020]] </blockquote>

<blockquote> Huawei Technologies, a Chinese telecoms giant helping to build the backbone infrastructure for the surveillance system, which will also support the Chinese-built Parliament currently under construction in the proposed new capital city in Mount Hampden, was last month granted income tax exemption curiously backdated to December 30, 2009. Huawei last year completed a US$98 million fibre optic project for state-owned TelOne linking Harare and Bulawayo, the country’s two major cities, with South Africa. The project was funded by the China Exim Bank, which is currently bankrolling a network expansion project also being undertaken by Huawei for mobile telecommunications network, NetOne. The US$140 million, six-storey Parliament is being funded wholly by the Chinese government as a donation to Zimbabwe [[CiteRef::ndelaCreatingSurveillanceState2020]] </blockquote>

TelOne has been linked with deploying face recognition in some areas of the country. It is unclear if neo face here refers to NEC NeoFace.

<blockquote> State-owned telecoms firm TelOne is planning to launch a neo face recognition technology early next year at the country’s airports and traffic lights to reduce crime and to promote the smart cities intelligence, which uses data and technology to create efficiencies [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

<blockquote> TelOne is implementing Data Centers across the country having presence in Harare, Mazowe, and Bulawayo while in the process of planning to roll out in other towns including Mutare [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

CloudWalk facial recognition deployed in Zimbabwe

2022-12-19T12:05:12Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=mudzingwaMnangagwaGovtGetting2018, chutelChinaExportingFacial2018, swartVideoSurveillanceSouthern2020, nashCloudWalkHasZimbabwean2022, hawkinsBeijingBigBrother2018, businesswriterTelOneLaunchNeoface2018
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition
|Has event={{HasEvent|Start|2018-03-02|Documented|nashCloudWalkHasZimbabwean2022}}
|City=Harare
|Country=Zimbabwe
|managed by=Government of Zimbabwe, TelOne
|used by=Zimbabwe Republic Police
|Involved Entities=Zimbabwe Defence Forces
|Datasets Used=CloudWalk (FR Datset), Unknown Dataset 0187
|Software Deployed=CloudWalk (Facial recognition)
|Summary=In 2018, it was announced that a mass facial recognition system would be deployed by CloudWalk in Zimbabwe. This forms part of the Chinese Belt and Road Initiative. CloudWalk stated they would be providing a full suite of surveillance technology tools across sectors. CloudWalk is a Chinese company which supplies cloud policing tools in China. One element of the deployment is the utility of training the datatset on darker skin tones for CloudWalk. Another element identified is the use of the technology to develop a dataset that can be used to influence elections in Zimbabwe or quash political dissent. A biometric voter roll is being prepared from the database. Huawei has been linked to the deployment of smart city technologies, with Hikvision cameras, for the purposes of this mass surveillance system. They have at certain points denied this linkage. TelOne, the Zimbabwe telecommunications company, can be linked to the deployment of facial recognition around the country for this effort.
}}
{{Subobject Uncertain Information
|Propertyname=Involved Entities
|value=Huawei, Hikvision
|Certainty=Rumoured
|Citekey=swartVideoSurveillanceSouthern2020
|Description=Many link Huawei with the contracts but Huawei themselves deny the linkage
}}
In 2018, Zimbabwe began installing CloudWalk surveillance technologies in major cities. CloudWalk, a Chinese company, was selected. The deal is part of China's Belt and Road initiative. CloudWalk supply facial recognition and cloud based policing tools in China. Zimbabwe and China have development and foreign policy relations [[CiteRef::hawkinsBeijingBigBrother2018]]. The system has been described as an element of the active military driven surveillance in the country [[CiteRef::munoriyarwaMilitarizationDigitalSurveillance2022]] </blockquote>. It is also feared that the technology will be used to influence upcoming elections and suppress political dissent [[CiteRef::swartVideoSurveillanceSouthern2020]] [[CiteRef::chimhangwaHowArtificialIntelligence2022]]. A biometric voter roll for Zimbabwe is also being prepared from the CloudWalk database [[CiteRef::nashCloudWalkHasZimbabwean2022]].

<blockquote> In March, the Zimbabwean government signed a strategic partnership with the Gunagzhou-based startup CloudWalk Technology to begin a large-scale facial recognition program throughout the country. The agreement, backed by the Chinese government’s Belt and Road initiative, will see the technology primarily used in security and law enforcement and will likely be expanded to other public programs. “The Zimbabwean government did not come to Guangzhou purely for AI or facial ID technology, rather it had a comprehensive package plan for such areas as infrastructure, technology and biology,” CloudWalk CEO Yao Zhiqiang told China’s Global Times [[CiteRef::chutelChinaExportingFacial2018]] </blockquote>

The system has been termed mass facial recognition system. One element of the deployment has been the expansion of CloudWalks dataset to include darker skin tones and the ability to identify different 'races' [[CiteRef::hawkinsBeijingBigBrother2018]] </blockquote>.

<blockquote> Cloudwalk technology was launched in February this year which means Zimbabwe is one of the first countries to adopt this kind of technology. The technology has been described as 3D light facial technology. It’s been touted as a better service than 2D facial recognition. 2D facial recognition was not reliable because it could not easily recognize darker skin shades which limited it’s functionality [[CiteRef::mudzingwaMnangagwaGovtGetting2018]] </blockquote>

<blockquote> In 2018, Zimbabwe entered into a strategic cooperation partnership with Chinese start up CloudWalk Technology, under which the government would gain access to a facial recognition database that it could use for all kinds of purposes. These uses would range from easier policing under the Smart cities initiative to tracking down political dissidents among others. In return, China gains access to this database of Zimbabwean citizens in order to train its algorithms and improve the ability of its surveillance systems to recognize darker skinned tones. The agreement is being implemented in stages and will soon reach development of camera and network infrastructure in Zimbabwe. AI driven facial recognition software has historically had difficulties with recognizing such skin tones and with this harvesting of Zimbabweans’ personal data, China will gain a globally competitive edge in the AI market [[CiteRef::chimhangwaHowArtificialIntelligence2022]] </blockquote>

It has been reported that Huawei will be responsible for the deployment of Hikvision cameras in some cities. Huawei deny the linkages.

<blockquote> In the most recent development in March 2020, it was reported that Huawei had allegedly already received US$20 million to start the installation of a grid of public surveillance cameras, as part of a larger Smart City Project (presumably in the capital of Harare) with a budget of US$100 over the next five years. It was further alleged that Hikvision and CloudWalk Technology would supply facial recognition software for the project. Huawei has denied the reports [[CiteRef::swartVideoSurveillanceSouthern2020]] </blockquote>

<blockquote> Huawei Technologies, a Chinese telecoms giant helping to build the backbone infrastructure for the surveillance system, which will also support the Chinese-built Parliament currently under construction in the proposed new capital city in Mount Hampden, was last month granted income tax exemption curiously backdated to December 30, 2009. Huawei last year completed a US$98 million fibre optic project for state-owned TelOne linking Harare and Bulawayo, the country’s two major cities, with South Africa. The project was funded by the China Exim Bank, which is currently bankrolling a network expansion project also being undertaken by Huawei for mobile telecommunications network, NetOne. The US$140 million, six-storey Parliament is being funded wholly by the Chinese government as a donation to Zimbabwe [[CiteRef::ndelaCreatingSurveillanceState2020]] </blockquote>

TelOne has been linked with deploying face recognition in some areas of the country. It is unclear if neo face here refers to NEC NeoFace.

<blockquote> State-owned telecoms firm TelOne is planning to launch a neo face recognition technology early next year at the country’s airports and traffic lights to reduce crime and to promote the smart cities intelligence, which uses data and technology to create efficiencies [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

<blockquote> TelOne is implementing Data Centers across the country having presence in Harare, Mazowe, and Bulawayo while in the process of planning to roll out in other towns including Mutare [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

Unknown Dataset 0187

2022-12-19T12:04:53Z

Alice: Created page with "{{Dataset |has full name=Unknown Dataset 0187 |Certainty=Documented |Country=Zimbabwe |is dataset category=Civil Database |Developed by=CloudWalk |Dataset Category=Facial Imag..."

{{Dataset
|has full name=Unknown Dataset 0187
|Certainty=Documented
|Country=Zimbabwe
|is dataset category=Civil Database
|Developed by=CloudWalk
|Dataset Category=Facial Images
|Owning institution=Government of Zimbabwe
}}
==Description==

ZTE video surveillance deployed in Addis Ababa

2022-12-18T21:53:39Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=lugt13ExploringPolitical2021, zteZTEBuildHighTech2010
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2010-01-02|Speculative|sudantribuneEthiopiaInstallingStreet2010}}
|City=Addis Ababa
|Country=Ethiopia
|managed by=Government of Ethiopia
|Involved Entities=ZTE Corporation
|Software Deployed=Unknown Products 0118
}}
In late 2009, Chinese firm ZTE won a contract to supply an 'integrated' camera network for real-time surveillance of Addis Abbaba [[CiteRef::zteZTEBuildHighTech2010]].

<blockquote> As nation prepares to conduct national election, Ethiopia federal police is planting security cameras in major streets of the capital, Addis Ababa. There are growing rumors that the surveillance cameras are purposely meant to monitor and control a possible post-election violence and there by to hunt down responsible ones [[CiteRef::sudantribuneEthiopiaInstallingStreet2010]] </blockquote>

Since 2010, Huawei has also been a key player in the ICT sector in Ethiopia, and evidence of the use of camera networks to spy on the African Union has been reported [[CiteRef::meserveyHowChinaHas2020]].

However, ZTE maintains control. These moves for dominance of the ICT sector are seen as part of Chinas Digital Belt and Road Initiatives by scholars.

<blockquote> From 2008 to 2013, the Chinese firm ZTE was the only telecom vendor building telecom infrastructure in Ethiopia. Since 2013, ZTE has shared this market with the large Chinese company Huawei. These two Chinese firms have each gained a 50% share in the carrying out of a US$1.6 billion project to introduce 4G in Addis Ababa and expand 3G services around the country (Maasho 2013). In 2014, the Swedish company Ericsson took over part of ZTE’s share in this project because the Ethiopian government had disagreed with ZTE about the costs of upgrading an existing network (Reuter s 2 01 4).3 However, in 2016 Huawei took over a 3G project that was part of Ericsson’s share (Fikade 2016). Huawei and ZTE, therefore, continue to dominate the telecom infrastructure market in Ethiopia [[CiteRef::lugt13ExploringPolitical2021]] </blockquote>

Unknown Products 0118

2022-12-18T21:53:12Z

Alice: Created page with "{{Products}}"

Unknown Institution 0095

2022-12-18T21:53:11Z

Alice: Created page with "{{Institution |Institution Full Name=Unknown Institution 0095 }} ==Description=="

{{Institution
|Institution Full Name=Unknown Institution 0095
}}
==Description==

ZTE video surveillance deployed in Addis Ababa

2022-12-18T21:48:54Z

Alice: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=lugt13ExploringPolitical2021, zteZTEBuildHighTech2010 |Deployment Status=Ongoing |Deployment Type=Analytics, Surveilla..."

{{Deployments
|Information Certainty=Documented
|CiteRef=lugt13ExploringPolitical2021, zteZTEBuildHighTech2010
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2010-01-02|Speculative|sudantribuneEthiopiaInstallingStreet2010}}
|City=Addis Ababa
|Country=Ethiopia
|managed by=Government of Ethiopia
|Involved Entities=ZTE Corporation
}}
In late 2009, Chinese firm ZTE won a contract to supply an 'integrated' camera network for real-time surveillance of Addis Abbaba [[CiteRef::zteZTEBuildHighTech2010]].

<blockquote> As nation prepares to conduct national election, Ethiopia federal police is planting security cameras in major streets of the capital, Addis Ababa. There are growing rumors that the surveillance cameras are purposely meant to monitor and control a possible post-election violence and there by to hunt down responsible ones [[CiteRef::sudantribuneEthiopiaInstallingStreet2010]] </blockquote>

Since 2010, Huawei has also been a key player in the ICT sector in Ethiopia, and evidence of the use of camera networks to spy on the African Union has been reported [[CiteRef::meserveyHowChinaHas2020]].

However, ZTE maintains control. These moves for dominance of the ICT sector are seen as part of Chinas Digital Belt and Road Initiatives by scholars.

<blockquote> From 2008 to 2013, the Chinese firm ZTE was the only telecom vendor building telecom infrastructure in Ethiopia. Since 2013, ZTE has shared this market with the large Chinese company Huawei. These two Chinese firms have each gained a 50% share in the carrying out of a US$1.6 billion project to introduce 4G in Addis Ababa and expand 3G services around the country (Maasho 2013). In 2014, the Swedish company Ericsson took over part of ZTE’s share in this project because the Ethiopian government had disagreed with ZTE about the costs of upgrading an existing network (Reuter s 2 01 4).3 However, in 2016 Huawei took over a 3G project that was part of Ericsson’s share (Fikade 2016). Huawei and ZTE, therefore, continue to dominate the telecom infrastructure market in Ethiopia [[CiteRef::lugt13ExploringPolitical2021]] </blockquote>

Biometrics in use by Rwanda National Police

2022-12-18T21:11:17Z

Alice: Alice moved page Biometrics in use by Rwanda National Police to Biometrics deployed by Rwanda National Police: stylistic consistency

#REDIRECT [[Biometrics deployed by Rwanda National Police]]

Biometrics deployed by Rwanda National Police

2022-12-18T21:11:17Z

Alice: Alice moved page Biometrics in use by Rwanda National Police to Biometrics deployed by Rwanda National Police: stylistic consistency

{{Deployments
|Information Certainty=Documented
|CiteRef=rwandanationalpoliceHowITShaping2016
|Deployment Status=Ongoing
|Deployment Type=Criminal investigations, Surveillance
|Has event={{HasEvent|Start|2016-05-12|Speculative|rwandanationalpoliceHowITShaping2016|When they are first reporting the use}}
|City=Kigali
|managed by=Rwanda National Police
|used by=Rwanda National Police
|Datasets Used=Unknown Dataset 0186
|Software Deployed=Unknown Products 0117
|Summary=Rwanda National Police report themselves that they use biometric technologies such as fingerprinting, facial recognition, DNA research and predictive policing methods. They also use social media monitoring and CCTV monitoring. More details on these uses could not be found.
}}
Rwanda National Police reports that they use a number of biometric tools and predictive policing methods.

<blockquote> The recent innovations and strategies that increase the efficiency and effectiveness of policing including network analysis, Geographical Information System (GIS), Global Positioning System (GPS), crime mapping, biometrics, fingerprints, DNA research, facial recognition, social media policing and CCTV are part of what Rwanda National Police (RNP) has integrated in its policing approaches to deal with contemporary crimes. RNP has heavily invested in its e-policing systems, IT infrastructures and training of personnel to be IT literate as means and ways to facilitate prevention, detection and investigations of all sorts of crimes [[CiteRef::rwandanationalpoliceHowITShaping2016]] </blockquote>

Rwanda National Police

2022-12-18T21:04:40Z

Alice: Created page with "{{Institution |Institution Full Name=Rwanda National Police |Creation Date=2000-06-16 |City=Kigali |Is Department Of=Government of Rwanda |Institution Type=Law Enforcement |In..."

{{Institution
|Institution Full Name=Rwanda National Police
|Creation Date=2000-06-16
|City=Kigali
|Is Department Of=Government of Rwanda
|Institution Type=Law Enforcement
|Institution Sector=Government
|URL=https://www.police.gov.rw/about-rnp/history/
}}
==Description==

Biometrics deployed by Rwanda National Police

2022-12-18T20:55:26Z

Alice: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=rwandanationalpoliceHowITShaping2016 |Deployment Status=Ongoing |Deployment Type=Criminal investigations, Surveillance..."

Unknown Products 0117

2022-12-18T20:55:04Z

Alice:

{{Products
|Developed by=Unknown Institution 0094
|Technology Type=Facial Recognition, Fingerprint Recognition, Database software
}}

Unknown Institution 0094

2022-12-18T20:55:00Z

Alice: Created page with "{{Institution |Institution Full Name=Unknown Institution 0094 }} ==Description=="

{{Institution
|Institution Full Name=Unknown Institution 0094
}}
==Description==

Unknown Products 0117

2022-12-18T20:53:55Z

Alice: Created page with "{{Products |Technology Type=Facial Recognition, Fingerprint Recognition, Database software }}"

{{Products
|Technology Type=Facial Recognition, Fingerprint Recognition, Database software
}}

Unknown Dataset 0186

2022-12-18T20:53:19Z

Alice: Created page with "{{Dataset |has full name=Unknown Dataset 0186 |Certainty=Documented |Country=Rwanda |is dataset category=Law Enforcement |Developed by=Rwanda National Police |Dataset Category..."

{{Dataset
|has full name=Unknown Dataset 0186
|Certainty=Documented
|Country=Rwanda
|is dataset category=Law Enforcement
|Developed by=Rwanda National Police
|Dataset Category=Facial Images
}}
==Description==

National Road Fund Agency (Zambia)

2022-12-18T20:21:04Z

Alice: Created page with "{{Institution |Institution Full Name=National Road Fund Agency (Zambia) |Creation Date=2000-05-02 |City=Lusaka |Address=Plot No 33 Fairley Rd, Lusaka, Zambia |Is Department Of..."

{{Institution
|Institution Full Name=National Road Fund Agency (Zambia)
|Creation Date=2000-05-02
|City=Lusaka
|Address=Plot No 33 Fairley Rd, Lusaka, Zambia
|Is Department Of=Government of Zambia
|Institution Type=State-Local Partnership
|Institution Sector=Government
|URL=https://nrfa.org.zm/about-us/#:~:text=In%20May%202000%2C%20the%20Government,Road%20Fund%20Agency%20(NRFA).
}}
==Description==

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T20:17:12Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=National Road Fund Agency (Zambia)
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart person and object detection. A brochure for VAST 2 states that Vivotek VAST facial recognition is fully integrated with the system. License plate recognition is definitely in use at the toll.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

The following detail the capabilities of VAST 2 VMS

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

These details are from a brochure for VAST 2 for which this deployment in Zambia is listed as a success story.

<blockquote> VAST Face Facial Recognition solutions are fully integrated with VAST 2, allowing users to apply it to a variety of applications including identity verification, live alerts/notifications, access control, and person of interest management [[CiteRef::vivotekVASTBROCHUREVideo2022]] </blockquote>

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T20:02:43Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart person and object detection. A brochure for VAST 2 states that Vivotek VAST facial recognition is fully integrated with the system. License plate recognition is definitely in use at the toll.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

The following detail the capabilities of VAST 2 VMS

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

These details are from a brochure for VAST 2 for which this deployment in Zambia is listed as a success story.

<blockquote> VAST Face Facial Recognition solutions are fully integrated with VAST 2, allowing users to apply it to a variety of applications including identity verification, live alerts/notifications, access control, and person of interest management [[CiteRef::vivotekVASTBROCHUREVideo2022]] </blockquote>

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T20:01:34Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset), Vivotek Vast FR (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart person and object detection. A brochure for VAST 2 states that Vivotek VAST facial recognition is fully integrated with the system. License plate recognition is definitely in use at the toll.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

The following detail the capabilities of VAST 2 VMS

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

These details are from a brochure for VAST 2 for which this deployment in Zambia is listed as a success story.

<blockquote> VAST Face Facial Recognition solutions are fully integrated with VAST 2, allowing users to apply it to a variety of applications including identity verification, live alerts/notifications, access control, and person of interest management [[CiteRef::vivotekVASTBROCHUREVideo2022]] </blockquote>

Mozambique

2022-12-18T20:00:26Z

Alice: Created page with "{{Country}}"

Maputo

2022-12-18T19:59:27Z

Alice: Created page with "{{City |is in Country=Mozambique |has Coordinates=-25.96621, 32.56745 }}"

{{City
|is in Country=Mozambique
|has Coordinates=-25.96621, 32.56745
}}

Vivotek video surveillance deployed on N4 toll road, South Africa

2022-12-18T19:58:51Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2022-02-11|Documented|digitalsecuritymagazineTollRouteSouth2022}}
|City=Pretoria, Maputo
|Country=South Africa
|managed by=Trans Africa Concessions
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
|Summary=The N4 road runs 630km between Pretoria, South Africa and Maputo, Mozambique. A new Vivotek solution was installed along the roads and in the toll booths. Like a similar deployment in Zambia, Vivotek VAST 2 VMS is in use, which has integrated facial recognition and smart search functions. This deployment is also listed as a success story of VAST 2. Therefore although it is not stated that facial recognition is definitely in use, it can be speculate that it is. License plate recognition is certainly in use.
}}
The N4 toll road is 630km long and runs from Pretoria to Maputo, Mozambique. VAST 2 has integrated facial recognition as well as a number of other smart features, as detailed in the brochure [[CiteRef::vivotekVASTBROCHUREVideo2022]].

<blockquote> Surveillance on the N4 route is integrated, Mainly, by analog cameras and DVRs. Swap outdated analog equipment for IP surveillance along 630 kilometers poses a great challenge, without taking into account the need for a smooth transition without disrupting daily toll operations. Commissioned by Trans Africa Concessions (TRAC), Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to upgrade and replace hundreds of cameras on the N4 toll road. This has included upgrading many individual DVRs to a centrally managed system., using VAST software 2 by Vivotek [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Inside the toll booths there are also cameras.

<blockquote> Inside the toll booths, along the N4, have been installed 105 Vivotek cameras IT9389-H to record high-quality audiovisual data as evidence in case of disputes. The IT9389-H outdoor turret cameras 5 megapixels have Supreme Night Visibility (Snv) And 120 dB WDR Pro, ensuring high-resolution images at 30 fps at any time of the day [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Vivotek video surveillance deployed on N4 toll road, South Africa

2022-12-18T19:48:57Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2022-02-11|Documented|digitalsecuritymagazineTollRouteSouth2022}}
|City=Pretoria
|Country=South Africa
|managed by=Trans Africa Concessions
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
}}
The N4 toll road is 630km long and runs from Pretoria to Maputo, Mozambique. VAST 2 has integrated facial recognition as well as a number of other smart features, as detailed in the brochure [[CiteRef::vivotekVASTBROCHUREVideo2022]].

<blockquote> Surveillance on the N4 route is integrated, Mainly, by analog cameras and DVRs. Swap outdated analog equipment for IP surveillance along 630 kilometers poses a great challenge, without taking into account the need for a smooth transition without disrupting daily toll operations. Commissioned by Trans Africa Concessions (TRAC), Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to upgrade and replace hundreds of cameras on the N4 toll road. This has included upgrading many individual DVRs to a centrally managed system., using VAST software 2 by Vivotek [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Inside the toll booths there are also cameras.

<blockquote> Inside the toll booths, along the N4, have been installed 105 Vivotek cameras IT9389-H to record high-quality audiovisual data as evidence in case of disputes. The IT9389-H outdoor turret cameras 5 megapixels have Supreme Night Visibility (Snv) And 120 dB WDR Pro, ensuring high-resolution images at 30 fps at any time of the day [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Trans Africa Concessions

2022-12-18T19:44:55Z

Alice: Created page with "{{Institution |Institution Full Name=Trans Africa Concessions |Creation Date=1996-01-01 |City=Pretoria |Address=Corporate Park, 69 Regency Drive Building A Route 21, Irene, Pr..."

{{Institution
|Institution Full Name=Trans Africa Concessions
|Creation Date=1996-01-01
|City=Pretoria
|Address=Corporate Park, 69 Regency Drive Building A Route 21, Irene, Pretoria, 0157, South Africa
|Institution Type=Company
|Institution Sector=Transportation
|URL=https://tracn4.co.za/#/home
}}
==Description==
Private transport company managing N4

Vivotek video surveillance deployed on N4 toll road, South Africa

2022-12-18T19:38:10Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2022-02-11|Documented|digitalsecuritymagazineTollRouteSouth2022}}
|City=Pretoria
|Country=South Africa
|managed by=Trans Africa Concessions
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
}}
The N4 toll road is 630km long and runs from Pretoria to Maputo, Mozambique. VAST 2 has integrated facial recognition as well as a number of other smart features, as detailed in the brochure [[CiteRef::vivotekVASTBROCHUREVideo2022]].

<blockquote> Surveillance on the N4 route is integrated, Mainly, by analog cameras and DVRs. Swap outdated analog equipment for IP surveillance along 630 kilometers poses a great challenge, without taking into account the need for a smooth transition without disrupting daily toll operations. Commissioned by Trans Africa Concessions (TRAC), Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to upgrade and replace hundreds of cameras on the N4 toll road. This has included upgrading many individual DVRs to a centrally managed system., using VAST software 2 by Vivotek [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Inside the toll booths there are also cameras.

<blockquote> Inside the toll booths, along the N4, have been installed 105 Vivotek cameras IT9389-H to record high-quality audiovisual data as evidence in case of disputes. The IT9389-H outdoor turret cameras 5 megapixels have Supreme Night Visibility (Snv) And 120 dB WDR Pro, ensuring high-resolution images at 30 fps at any time of the day [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Vivotek video surveillance deployed on N4 toll road, South Africa

2022-12-18T19:36:50Z

Alice: Created page with "{{Deployments |Information Certainty=Speculative |CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022 |Deployment Status=Ongoing |Deployment Type=A..."

{{Deployments
|Information Certainty=Speculative
|CiteRef=digitalsecuritymagazineTollRouteSouth2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Surveillance
|Has event={{HasEvent|Start|2022-02-11|Documented|digitalsecuritymagazineTollRouteSouth2022}}
|City=Pretoria
|Country=South Africa
|managed by=Trans Africa Concessions
|Software Deployed=Vivotek VAST (Facial recognition), Vivotek VAST 2 (Vms)
}}
The N4 toll road is 630km long and runs from Pretoria to Maputo, Mozambique. VAST 2 has integrated facial recognition as well as a number of other smart features, as detailed in the brochure [[CiteRef::vivotekVASTBROCHUREVideo2022]].

<blockquote> Surveillance on the N4 route is integrated, Mainly, by analog cameras and DVRs. Swap outdated analog equipment for IP surveillance along 630 kilometers poses a great challenge, without taking into account the need for a smooth transition without disrupting daily toll operations. Commissioned by Trans Africa Concessions (TRAC), Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to upgrade and replace hundreds of cameras on the N4 toll road. This has included upgrading many individual DVRs to a centrally managed system., using VAST software 2 by Vivotek [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote

Inside the toll booths there are also cameras.

<blockquote> Inside the toll booths, along the N4, have been installed 105 Vivotek cameras IT9389-H to record high-quality audiovisual data as evidence in case of disputes. The IT9389-H outdoor turret cameras 5 megapixels have Supreme Night Visibility (Snv) And 120 dB WDR Pro, ensuring high-resolution images at 30 fps at any time of the day [[CiteRef::digitalsecuritymagazineTollRouteSouth2022]] </blockquote>

Vivotek VAST (Facial recognition)

2022-12-18T19:11:50Z

Alice: Created page with "{{Products |Developed by=Vivotek |Technology Type=Facial Recognition |Related Technologies=Vivotek VAST 2 (Vms) }}"

{{Products
|Developed by=Vivotek
|Technology Type=Facial Recognition
|Related Technologies=Vivotek VAST 2 (Vms)
}}

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T19:05:58Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022, vivotekVASTBROCHUREVideo2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset), Vivotek Vast FR (Dataset)
|Software Deployed=Vivotek VAST 2 (Vms), Vivotek VAST (Facial recognition)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart person and object detection. A brochure for VAST 2 states that Vivotek VAST facial recognition is fully integrated with the system. License plate recognition is definitely in use at the toll.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

The following detail the capabilities of VAST 2 VMS

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

These details are from a brochure for VAST 2 for which this deployment in Zambia is listed as a success story.

<blockquote> VAST Face Facial Recognition solutions are fully integrated with VAST 2, allowing users to apply it to a variety of applications including identity verification, live alerts/notifications, access control, and person of interest management [[CiteRef::vivotekVASTBROCHUREVideo2022]] </blockquote>

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T19:03:04Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset), Vivotek Vast FR (Dataset)
|Software Deployed=Vivotek VAST 2 (Vms), Vivotek VAST (Facial recognition)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart person and object detection. A brochure for VAST 2 states that Vivotek VAST facial recognition is fully integrated with the system. License plate recognition is definitely in use at the toll.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

The following detail the capabilities of VAST 2 VMS

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

These details are from a brochure for VAST 2 for which this deployment in Zambia is listed as a success story.

<blockquote> VAST Face Facial Recognition solutions are fully integrated with VAST 2, allowing users to apply it to a variety of applications including identity verification, live alerts/notifications, access control, and person of interest management [[CiteRef::vivotekVASTBROCHUREVideo2022]] </blockquote>

Vivotek VAST 2 (Vms)

2022-12-18T18:56:34Z

Alice: Created page with "{{Products |Developed by=Vivotek |Technology Type=Anomaly Detection, Object Detection }}"

{{Products
|Developed by=Vivotek
|Technology Type=Anomaly Detection, Object Detection
}}

FLIR thermal detection systems deployed at mines in Tanzania

2022-12-18T18:47:44Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=techsecuritysolutions360degreePerimeterProtection2017, sourcesecurityFLIRSecuritySolution2022
|Deployment Status=Ongoing
|Deployment Type=Thermal Camera
|Has event={{HasEvent|Start|2017-03-01|Documented|techsecuritysolutions360degreePerimeterProtection2017|At least since then}}
|City=Arusha, Mwanza
|managed by=SecuSystems (SA)
|Software Deployed=FLIR (Thermal motion detection)
|Summary=At large mines in South Africa, Guinea and Tanzania advanced intrusion detection systems have been deployed. Details of the systems in Tanzania can be found. When intruders cross the perimeter (6km away) it triggers them to be followed by the camera and also triggers other defense mechanisms such as pepper spray. The thermal imaging used is described as detecting movement and tracking the intruders from the moment they are identified at the perimeter. The system is described as tracking 'real time movement' using 'military'' grade capabilities. It could be speculated that some form of motion recognition or person detection is in use. If not, then as the video is stored at the central command centre forensic facial recognition could then be used. The number of arrests has increased since the installment of the system.
}}
In 2017, it was reported that South African company SecuSystems had installed systems at mines in South Africa, Tanzania and Guinea.

The system in Tanzania with the specific camera model details is described as follows

<blockquote> The FLIR PT-602CZ is a thermal security camera that offers excellent long-range perimeter intrusion detection and surveillance at night as well as during the day. The solution by Secu-Systems has already proven very successful with one of the world’s largest gold producers – at a mine in Tanzania. Once the Secu-Sytems solution was installed and operational, the results were immediate – revealing the numbers of illegal miners entering the site on a daily basis. The weekly number of arrests even reached a staggering 75 – 100 [[CiteRef::sourcesecurityFLIRSecuritySolution2022]] </blockquote>

Charles Harrison of SecuSystems describes the solution as follows

<blockquote> “We describe our solution as a completely self-sufficient, virtual perimeter camera solution which tracks real-time movement using thermal cameras on a moving background. It uses Movement Target Indicators (MTI) software developed in Australia for military aircraft,” adds Harrison. “By comparison, traditional analytics work on a fixed background with a static camera.” The streaming cameras can easily detect movement in as little as four pixels. Moreover, where conventional perimeter intrusion detection systems (PIDS) detect intrusions at the perimeter only, Spotter can track intruders from the perimeter and throughout the mine. With high-powered, single PTZ thermal cameras placed on high sites, intruders cannot hide and are followed throughout the location until removed, thus giving management complete 360-degree situational awareness and peace of mind [[CiteRef::techsecuritysolutions360degreePerimeterProtection2017]] </blockquote>

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T18:44:48Z

Alice:

{{Deployments
|Information Certainty=Speculative
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek VAST 2 (Vms)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart search people detection. Other cameras are in place specifically for license plate recognition.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

Ndola

2022-12-18T18:39:57Z

Alice: Created page with "{{City |is in Country=Zambia |has Coordinates=-12.96931, 28.63659 }}"

{{City
|is in Country=Zambia
|has Coordinates=-12.96931, 28.63659
}}

Vivotek video surveillance deployed on T3 Motorway, Zambia

2022-12-18T18:37:18Z

Alice: Created page with "{{Deployments |Information Certainty=Speculative |CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022 |Deployment Status=Ongoing |Deployment Type=..."

{{Deployments
|Information Certainty=Speculative
|CiteRef=aleleoVivotekProvidesSafe2022, sourcesecurityNewManagementExperience2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2022-04-11|Speculative|aleleoVivotekProvidesSafe2022}}
|City=Ndola
|Country=Zambia
|managed by=Agency of the National Road Fund Zambia
|Datasets Used=Vivotek (Dataset)
|Software Deployed=Vivotek (Smart motion detection), Vivotek VAST 2 (Vms)
|Summary=At Wilson Mofya Chakulya Toll on the T3 Motorway in Zambia, a network of video cameras from Vivotek have been installed. The IB9367‐HT cameras in the lanes have smart motion detection. This means they can detect silhouettes and human activity. The VMS which the network is hosted on, Vivotek VAST 2, can have smart search people detection. Other cameras are in place specifically for license plate recognition.
}}
A new Vivotek solution has been put in place at a Zambian toll. The camera IB9367‐HT has smart motion detection which can detect humans and their silhouettes. Vivotek Vast 2 VMS can have people detection. License plate recognition is certainly in use.

<blockquote> Vivotek IP video surveillance provides safe circulation on Zambian roads Vivotek at Garneton toll. In the toll Wilson Mofya Chakulya have been installed 8 IB9367‐HT cameras in the lanes, 9 IP9165-LPR-A Kit for night surveillance and 4 CC8160 inside the control building. All managed with Vast software 2 of Vivotek [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Commissioned by the Zambia National Road Fund Agency, Vivotek collaborated with the system integrator, Africa Technology Operations and Maintenance (ATOM), to renovate existing cameras along the Garneton toll road. In addition, these had to be centrally connected and managed. This was done with the software Vivotek Vast 2 [[CiteRef::aleleoVivotekProvidesSafe2022]] </blockquote>

<blockquote> Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness [[CiteRef::sourcesecurityNewManagementExperience2022]] </blockquote>

TelOne

2022-12-18T17:52:05Z

Alice: Created page with "{{Institution |Institution Full Name=TelOne |Creation Date=1980-05-02 |City=Harare |Address=107 Union Ave, Harare, Zimbabwe |Institution Type=State Corporation |Institution Se..."

{{Institution
|Institution Full Name=TelOne
|Creation Date=1980-05-02
|City=Harare
|Address=107 Union Ave, Harare, Zimbabwe
|Institution Type=State Corporation
|Institution Sector=Telecom
|URL=https://www.telone.co.zw/
}}
==Description==
State owned telcomms (inc. broadcast media) company.

CloudWalk (FR Datset)

2022-12-18T17:49:43Z

Alice: Created page with "{{Dataset |has full name=CloudWalk (FR Datset) |Certainty=Documented |Country=Zimbabwe |is dataset category=Civil Database |Developed by=CloudWalk |Dataset Category=Facial Ima..."

{{Dataset
|has full name=CloudWalk (FR Datset)
|Certainty=Documented
|Country=Zimbabwe
|is dataset category=Civil Database
|Developed by=CloudWalk
|Dataset Category=Facial Images, Silhouttes
|Owning institution=CloudWalk
}}
==Description==

CloudWalk

2022-12-18T17:39:59Z

Alice: Created page with "{{Institution |Institution Full Name=CloudWalk Technology |Creation Date=2015-04-01 |City=Shanghai |Address=Building 11, Zhangjiang Artificial Intelligence Island, Lane 55, Ch..."

{{Institution
|Institution Full Name=CloudWalk Technology
|Creation Date=2015-04-01
|City=Shanghai
|Address=Building 11, Zhangjiang Artificial Intelligence Island, Lane 55, Chuanhe Road, Pudong New Area, Pudong.
|Institution Type=Company
|Institution Sector=Software
|URL=https://www.cloudwalk.com/en/
}}
==Description==

CloudWalk (Facial recognition)

2022-12-18T17:36:23Z

Alice: Created page with "{{Products |Developed by=CloudWalk |Creation Date=2015-01-02 |Technology Type=Facial Recognition }} Later versions of CloudWalk can identify gait, posture, hairstyle"

{{Products
|Developed by=CloudWalk
|Creation Date=2015-01-02
|Technology Type=Facial Recognition
}}
Later versions of CloudWalk can identify gait, posture, hairstyle

CloudWalk surveillance technologies deployed in Zimbabwe

2022-12-18T17:33:22Z

Alice: Alice moved page CloudWalk surveillance technologies deployed in Zimbabwe to CloudWalk facial recognition deployed in Zimbabwe: Clarity

#REDIRECT [[CloudWalk facial recognition deployed in Zimbabwe]]

CloudWalk facial recognition deployed in Zimbabwe

2022-12-18T17:33:22Z

Alice: Alice moved page CloudWalk surveillance technologies deployed in Zimbabwe to CloudWalk facial recognition deployed in Zimbabwe: Clarity

{{Deployments
|Information Certainty=Documented
|CiteRef=mudzingwaMnangagwaGovtGetting2018, chutelChinaExportingFacial2018, swartVideoSurveillanceSouthern2020, nashCloudWalkHasZimbabwean2022, hawkinsBeijingBigBrother2018, businesswriterTelOneLaunchNeoface2018
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition
|Has event={{HasEvent|Start|2018-03-02|Documented|nashCloudWalkHasZimbabwean2022}}
|City=Harare
|Country=Zimbabwe
|managed by=Government of Zimbabwe, TelOne
|used by=Zimbabwe Republic Police
|Involved Entities=Zimbabwe Defence Forces
|Datasets Used=CloudWalk (FR Datset)
|Software Deployed=CloudWalk (Facial recognition)
|Summary=In 2018, it was announced that a mass facial recognition system would be deployed by CloudWalk in Zimbabwe. This forms part of the Chinese Belt and Road Initiative. CloudWalk stated they would be providing a full suite of surveillance technology tools across sectors. CloudWalk is a Chinese company which supplies cloud policing tools in China. One element of the deployment is the utility of training the datatset on darker skin tones for CloudWalk. Another element identified is the use of the technology to develop a dataset that can be used to influence elections in Zimbabwe or quash political dissent. Huawei has been linked to the deployment of smart city technologies and Hikvision cameras for the purposes of this mass surveillance system. They deny this linkage. TelOne, the Zimbabwe telecommunications company, can be linked to the deployment of facial recognition around the country for this effort.
}}
{{Subobject Uncertain Information
|Propertyname=Involved Entities
|value=Huawei, Hikvision
|Certainty=Rumoured
|Citekey=swartVideoSurveillanceSouthern2020
|Description=Many link Huawei with the contracts but Huawei themselves deny the linkage
}}
In 2018, Zimbabwe began installing CloudWalk surveillance technologies in major cities. CloudWalk, a Chinese company, was selected. The deal is part of China's Belt and Road initiative. CloudWalk supply facial recognition and cloud based policing tools in China. Zimbabwe and China have development and foreign policy relations [[CiteRef::hawkinsBeijingBigBrother2018]]. The system has been described as an element of the active military driven surveillance in the country [[CiteRef::munoriyarwaMilitarizationDigitalSurveillance2022]] </blockquote>

<blockquote> In March, the Zimbabwean government signed a strategic partnership with the Gunagzhou-based startup CloudWalk Technology to begin a large-scale facial recognition program throughout the country. The agreement, backed by the Chinese government’s Belt and Road initiative, will see the technology primarily used in security and law enforcement and will likely be expanded to other public programs. “The Zimbabwean government did not come to Guangzhou purely for AI or facial ID technology, rather it had a comprehensive package plan for such areas as infrastructure, technology and biology,” CloudWalk CEO Yao Zhiqiang told China’s Global Times [[CiteRef::chutelChinaExportingFacial2018]] </blockquote>

The system has been termed mass facial recognition system. One element of the deployment has been the expansion of CloudWalks dataset to include darker skin tones and the ability to identify different races [[CiteRef::hawkinsBeijingBigBrother2018]] </blockquote>

<blockquote> Cloudwalk technology was launched in February this year which means Zimbabwe is one of the first countries to adopt this kind of technology. The technology has been described as 3D light facial technology. It’s been touted as a better service than 2D facial recognition. 2D facial recognition was not reliable because it could not easily recognize darker skin shades which limited it’s functionality [[CiteRef::mudzingwaMnangagwaGovtGetting2018]] </blockquote>

It is feared that the technology will be used to influence elections and suppress political dissent [[CiteRef::nashCloudWalkHasZimbabwean2022]] [[CiteRef::chimhangwaHowArtificialIntelligence2022]] [[CiteRef::swartVideoSurveillanceSouthern2020]]

<blockquote> In 2018, Zimbabwe entered into a strategic cooperation partnership with Chinese start up CloudWalk Technology, under which the government would gain access to a facial recognition database that it could use for all kinds of purposes. These uses would range from easier policing under the Smart cities initiative to tracking down political dissidents among others. In return, China gains access to this database of Zimbabwean citizens in order to train its algorithms and improve the ability of its surveillance systems to recognize darker skinned tones. The agreement is being implemented in stages and will soon reach development of camera and network infrastructure in Zimbabwe. AI driven facial recognition software has historically had difficulties with recognizing such skin tones and with this harvesting of Zimbabweans’ personal data, China will gain a globally competitive edge in the AI market [[CiteRef::chimhangwaHowArtificialIntelligence2022]] </blockquote>

It has been reported that Huawei will be responsible for the deployment of Hikvision cameras in some cities. Huawei deny the linkages.

<blockquote> In the most recent development in March 2020, it was reported that Huawei had allegedly already received US$20 million to start the installation of a grid of public surveillance cameras, as part of a larger Smart City Project (presumably in the capital of Harare) with a budget of US$100 over the next five years. It was further alleged that Hikvision and CloudWalk Technology would supply facial recognition software for the project. Huawei has denied the reports [[CiteRef::swartVideoSurveillanceSouthern2020]] </blockquote>

<blockquote> Huawei Technologies, a Chinese telecoms giant helping to build the backbone infrastructure for the surveillance system, which will also support the Chinese-built Parliament currently under construction in the proposed new capital city in Mount Hampden, was last month granted income tax exemption curiously backdated to December 30, 2009. Huawei last year completed a US$98 million fibre optic project for state-owned TelOne linking Harare and Bulawayo, the country’s two major cities, with South Africa. The project was funded by the China Exim Bank, which is currently bankrolling a network expansion project also being undertaken by Huawei for mobile telecommunications network, NetOne. The US$140 million, six-storey Parliament is being funded wholly by the Chinese government as a donation to Zimbabwe [[CiteRef::ndelaCreatingSurveillanceState2020]] </blockquote>

TelOne has been linked with deploying face recognition in some areas of the country.

<blockquote> State-owned telecoms firm TelOne is planning to launch a neo face recognition technology early next year at the country’s airports and traffic lights to reduce crime and to promote the smart cities intelligence, which uses data and technology to create efficiencies [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

<blockquote> TelOne is implementing Data Centers across the country having presence in Harare, Mazowe, and Bulawayo while in the process of planning to roll out in other towns including Mutare [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

Zimbabwe Republic Police

2022-12-18T17:30:41Z

Alice: Created page with "{{Institution |Institution Full Name=Zimbabwe Republic Police |Creation Date=1980-08-01 |City=Harare |Address=Police General Headquarters. Address: Cnr 7th Street and J.Chinam..."

{{Institution
|Institution Full Name=Zimbabwe Republic Police
|Creation Date=1980-08-01
|City=Harare
|Address=Police General Headquarters. Address: Cnr 7th Street and J.Chinamano Avenue
53M4+WQR, Harare, Zimbabwe
|Is Department Of=Government of Zimbabwe
|Institution Type=Law Enforcement
|Institution Sector=Government
|URL=http://www.zrp.gov.zw/
}}
==Description==

Zimbabwe Defence Forces

2022-12-18T17:24:46Z

Alice:

{{Institution
|Institution Full Name=Zimbabwe Defence Forces
|Creation Date=1980-05-18
|City=Harare
|Address=Ministry of Defence - H/Q Defence House Kwame Nkuruma Street, P. Bag 7713 Causeway, Harare
|Is Department Of=Government of Zimbabwe
|Institution Type=Military
|Institution Sector=Government
|URL=http://www.defence.gov.zw/
}}
==Description==

Zimbabwe Defence Forces

2022-12-18T17:23:44Z

Alice: Created page with "{{Institution |Institution Full Name=Zimbabwe Defence Forces |Creation Date=1980-05-18 |City=Harare |Address=Ministry of Defence - H/Q Defence House Kwame Nkuruma Street, P. B..."

{{Institution
|Institution Full Name=Zimbabwe Defence Forces
|Creation Date=1980-05-18
|City=Harare
|Address=Ministry of Defence - H/Q Defence House Kwame Nkuruma Street, P. Bag 7713 Causeway, Harare
|Is Department Of=Zimbabwe Ministry of Defence
|Institution Type=Military
|Institution Sector=Government
|URL=http://www.defence.gov.zw/
}}
==Description==

Government of Zimbabwe

2022-12-18T17:19:05Z

Alice: Created page with "{{Institution |Institution Full Name=Government of Zimbabwe |Creation Date=1980-04-18 |City=Harare |Address=Kwame Nkrumah & 3rd Street Box CY 298 Causeway Harare Zimbabwe; |In..."

{{Institution
|Institution Full Name=Government of Zimbabwe
|Creation Date=1980-04-18
|City=Harare
|Address=Kwame Nkrumah & 3rd Street Box CY 298 Causeway Harare Zimbabwe;
|Institution Type=Government
|Institution Sector=Government
|URL=http://www.zim.gov.zw/index.php/en/
}}
==Description==

CloudWalk facial recognition deployed in Zimbabwe

2022-12-18T16:15:46Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=mudzingwaMnangagwaGovtGetting2018, chutelChinaExportingFacial2018, swartVideoSurveillanceSouthern2020, nashCloudWalkHasZimbabwean2022, hawkinsBeijingBigBrother2018, businesswriterTelOneLaunchNeoface2018
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition
|Has event={{HasEvent|Start|2018-03-02|Documented|nashCloudWalkHasZimbabwean2022}}
|City=Harare
|Country=Zimbabwe
|managed by=Government of Zimbabwe, TelOne
|used by=Zimbabwe Republic Police
|Involved Entities=Zimbabwe Defence Forces
|Datasets Used=CloudWalk (FR Datset)
|Software Deployed=CloudWalk (Facial recognition)
|Summary=In 2018, it was announced that a mass facial recognition system would be deployed by CloudWalk in Zimbabwe. This forms part of the Chinese Belt and Road Initiative. CloudWalk stated they would be providing a full suite of surveillance technology tools across sectors. CloudWalk is a Chinese company which supplies cloud policing tools in China. One element of the deployment is the utility of training the datatset on darker skin tones for CloudWalk. Another element identified is the use of the technology to develop a dataset that can be used to influence elections in Zimbabwe or quash political dissent. Huawei has been linked to the deployment of smart city technologies and Hikvision cameras for the purposes of this mass surveillance system. They deny this linkage. TelOne, the Zimbabwe telecommunications company, can be linked to the deployment of facial recognition around the country for this effort.
}}
{{Subobject Uncertain Information
|Propertyname=Involved Entities
|value=Huawei, Hikvision
|Certainty=Rumoured
|Citekey=swartVideoSurveillanceSouthern2020
|Description=Many link Huawei with the contracts but Huawei themselves deny the linkage
}}
In 2018, Zimbabwe began installing CloudWalk surveillance technologies in major cities. CloudWalk, a Chinese company, was selected. The deal is part of China's Belt and Road initiative. CloudWalk supply facial recognition and cloud based policing tools in China. Zimbabwe and China have development and foreign policy relations [[CiteRef::hawkinsBeijingBigBrother2018]]. The system has been described as an element of the active military driven surveillance in the country [[CiteRef::munoriyarwaMilitarizationDigitalSurveillance2022]] </blockquote>

<blockquote> In March, the Zimbabwean government signed a strategic partnership with the Gunagzhou-based startup CloudWalk Technology to begin a large-scale facial recognition program throughout the country. The agreement, backed by the Chinese government’s Belt and Road initiative, will see the technology primarily used in security and law enforcement and will likely be expanded to other public programs. “The Zimbabwean government did not come to Guangzhou purely for AI or facial ID technology, rather it had a comprehensive package plan for such areas as infrastructure, technology and biology,” CloudWalk CEO Yao Zhiqiang told China’s Global Times [[CiteRef::chutelChinaExportingFacial2018]] </blockquote>

The system has been termed mass facial recognition system. One element of the deployment has been the expansion of CloudWalks dataset to include darker skin tones and the ability to identify different races [[CiteRef::hawkinsBeijingBigBrother2018]] </blockquote>

<blockquote> Cloudwalk technology was launched in February this year which means Zimbabwe is one of the first countries to adopt this kind of technology. The technology has been described as 3D light facial technology. It’s been touted as a better service than 2D facial recognition. 2D facial recognition was not reliable because it could not easily recognize darker skin shades which limited it’s functionality [[CiteRef::mudzingwaMnangagwaGovtGetting2018]] </blockquote>

It is feared that the technology will be used to influence elections and suppress political dissent [[CiteRef::nashCloudWalkHasZimbabwean2022]] [[CiteRef::chimhangwaHowArtificialIntelligence2022]] [[CiteRef::swartVideoSurveillanceSouthern2020]]

<blockquote> In 2018, Zimbabwe entered into a strategic cooperation partnership with Chinese start up CloudWalk Technology, under which the government would gain access to a facial recognition database that it could use for all kinds of purposes. These uses would range from easier policing under the Smart cities initiative to tracking down political dissidents among others. In return, China gains access to this database of Zimbabwean citizens in order to train its algorithms and improve the ability of its surveillance systems to recognize darker skinned tones. The agreement is being implemented in stages and will soon reach development of camera and network infrastructure in Zimbabwe. AI driven facial recognition software has historically had difficulties with recognizing such skin tones and with this harvesting of Zimbabweans’ personal data, China will gain a globally competitive edge in the AI market [[CiteRef::chimhangwaHowArtificialIntelligence2022]] </blockquote>

It has been reported that Huawei will be responsible for the deployment of Hikvision cameras in some cities. Huawei deny the linkages.

<blockquote> In the most recent development in March 2020, it was reported that Huawei had allegedly already received US$20 million to start the installation of a grid of public surveillance cameras, as part of a larger Smart City Project (presumably in the capital of Harare) with a budget of US$100 over the next five years. It was further alleged that Hikvision and CloudWalk Technology would supply facial recognition software for the project. Huawei has denied the reports [[CiteRef::swartVideoSurveillanceSouthern2020]] </blockquote>

<blockquote> Huawei Technologies, a Chinese telecoms giant helping to build the backbone infrastructure for the surveillance system, which will also support the Chinese-built Parliament currently under construction in the proposed new capital city in Mount Hampden, was last month granted income tax exemption curiously backdated to December 30, 2009. Huawei last year completed a US$98 million fibre optic project for state-owned TelOne linking Harare and Bulawayo, the country’s two major cities, with South Africa. The project was funded by the China Exim Bank, which is currently bankrolling a network expansion project also being undertaken by Huawei for mobile telecommunications network, NetOne. The US$140 million, six-storey Parliament is being funded wholly by the Chinese government as a donation to Zimbabwe [[CiteRef::ndelaCreatingSurveillanceState2020]] </blockquote>

TelOne has been linked with deploying face recognition in some areas of the country.

<blockquote> State-owned telecoms firm TelOne is planning to launch a neo face recognition technology early next year at the country’s airports and traffic lights to reduce crime and to promote the smart cities intelligence, which uses data and technology to create efficiencies [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

<blockquote> TelOne is implementing Data Centers across the country having presence in Harare, Mazowe, and Bulawayo while in the process of planning to roll out in other towns including Mutare [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

CloudWalk facial recognition deployed in Zimbabwe

2022-12-18T16:07:06Z

Alice:

{{Deployments
|Information Certainty=Documented
|CiteRef=mudzingwaMnangagwaGovtGetting2018, chutelChinaExportingFacial2018, swartVideoSurveillanceSouthern2020, nashCloudWalkHasZimbabwean2022, hawkinsBeijingBigBrother2018, businesswriterTelOneLaunchNeoface2018
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition
|Has event={{HasEvent|Start|2018-03-02|Documented|nashCloudWalkHasZimbabwean2022}}
|City=Harare
|Country=Zimbabwe
|managed by=Government of Zimbabwe
|Datasets Used=CloudWalk (FR Datset)
|Software Deployed=CloudWalk (Facial recognition)
}}
{{Subobject Uncertain Information
|Propertyname=Involved Entities
|value=Huawei
|Certainty=Rumoured
|Citekey=swartVideoSurveillanceSouthern2020
|Description=Many link Huawei with the contracts but Huawei themselves deny the linkage
}}
In 2018, Zimbabwe began installing CloudWalk surveillance technologies in major cities. CloudWalk was selected. The deal is part of China's Belt and Road initiative. Zimbabwe and China have development and foreign policy relations [[CiteRef::hawkinsBeijingBigBrother2018]]. The system has been described as an element of the active military driven surveillance in the country [[CiteRef::munoriyarwaMilitarizationDigitalSurveillance2022]] </blockquote>

<blockquote> In March, the Zimbabwean government signed a strategic partnership with the Gunagzhou-based startup CloudWalk Technology to begin a large-scale facial recognition program throughout the country. The agreement, backed by the Chinese government’s Belt and Road initiative, will see the technology primarily used in security and law enforcement and will likely be expanded to other public programs. “The Zimbabwean government did not come to Guangzhou purely for AI or facial ID technology, rather it had a comprehensive package plan for such areas as infrastructure, technology and biology,” CloudWalk CEO Yao Zhiqiang told China’s Global Times [[CiteRef::chutelChinaExportingFacial2018]] </blockquote>

The system has been termed mass facial recognition system. One element of the deployment has been the expansion of CloudWalks dataset to include darker skin tones and the ability to identify different races [[CiteRef::hawkinsBeijingBigBrother2018]] </blockquote>

<blockquote> Cloudwalk technology was launched in February this year which means Zimbabwe is one of the first countries to adopt this kind of technology. The technology has been described as 3D light facial technology. It’s been touted as a better service than 2D facial recognition. 2D facial recognition was not reliable because it could not easily recognize darker skin shades which limited it’s functionality [[CiteRef::mudzingwaMnangagwaGovtGetting2018]] </blockquote>

It is feared that the technology will be used to influence elections and suppress political dissent [[CiteRef::nashCloudWalkHasZimbabwean2022]] [[CiteRef::chimhangwaHowArtificialIntelligence2022]] [[CiteRef::swartVideoSurveillanceSouthern2020]]

<blockquote> In 2018, Zimbabwe entered into a strategic cooperation partnership with Chinese start up CloudWalk Technology, under which the government would gain access to a facial recognition database that it could use for all kinds of purposes. These uses would range from easier policing under the Smart cities initiative to tracking down political dissidents among others. In return, China gains access to this database of Zimbabwean citizens in order to train its algorithms and improve the ability of its surveillance systems to recognize darker skinned tones. The agreement is being implemented in stages and will soon reach development of camera and network infrastructure in Zimbabwe. AI driven facial recognition software has historically had difficulties with recognizing such skin tones and with this harvesting of Zimbabweans’ personal data, China will gain a globally competitive edge in the AI market [[CiteRef::chimhangwaHowArtificialIntelligence2022]] </blockquote>

It has been reported that Huawei will be responsible for the deployment of Hikvision cameras in some cities. Huawei deny the linkages.

<blockquote> In the most recent development in March 2020, it was reported that Huawei had allegedly already received US$20 million to start the installation of a grid of public surveillance cameras, as part of a larger Smart City Project (presumably in the capital of Harare) with a budget of US$100 over the next five years. It was further alleged that Hikvision and CloudWalk Technology would supply facial recognition software for the project. Huawei has denied the reports [[CiteRef::swartVideoSurveillanceSouthern2020]] </blockquote>

<blockquote> Huawei Technologies, a Chinese telecoms giant helping to build the backbone infrastructure for the surveillance system, which will also support the Chinese-built Parliament currently under construction in the proposed new capital city in Mount Hampden, was last month granted income tax exemption curiously backdated to December 30, 2009. Huawei last year completed a US$98 million fibre optic project for state-owned TelOne linking Harare and Bulawayo, the country’s two major cities, with South Africa. The project was funded by the China Exim Bank, which is currently bankrolling a network expansion project also being undertaken by Huawei for mobile telecommunications network, NetOne. The US$140 million, six-storey Parliament is being funded wholly by the Chinese government as a donation to Zimbabwe [[CiteRef::ndelaCreatingSurveillanceState2020]] </blockquote>

TelOne has been linked with deploying face recognition in some areas of the country.

<blockquote> State-owned telecoms firm TelOne is planning to launch a neo face recognition technology early next year at the country’s airports and traffic lights to reduce crime and to promote the smart cities intelligence, which uses data and technology to create efficiencies [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

<blockquote> TelOne is implementing Data Centers across the country having presence in Harare, Mazowe, and Bulawayo while in the process of planning to roll out in other towns including Mutare [[CiteRef::businesswriterTelOneLaunchNeoface2018]] </blockquote>

Zimbabwe

2022-12-18T15:46:35Z

Alice: Created page with "{{Country}}"

Harare

2022-12-18T15:45:32Z

Alice: Created page with "{{City |is in Country=Zimbabwe |has Coordinates=-17.83177, 31.04569 }}"

{{City
|is in Country=Zimbabwe
|has Coordinates=-17.83177, 31.04569
}}