Security Vision - User contributions [en]

Côte d'Ivoire

2022-12-19T21:30:34Z

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

Innovatrics ABIS deployments in Guinea

2022-12-19T21:18:55Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=innovatricsInnovatricsABISBolsters2022 |Deployment Status=Ongoing |Deployment Type=Analytics, Biometric Cameras, Crimi..."

{{Deployments
|Information Certainty=Documented
|CiteRef=innovatricsInnovatricsABISBolsters2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras, Criminal investigations
|Has event={{HasEvent|Start|2022-01-28|Speculative|innovatricsInnovatricsABISBolsters2022}}
|City=Conakry
|Country=Guinea
|managed by=Innovatrics
|used by=Government of Guinea
|Software Deployed=Innovatrics AFIS
|Summary=Innovatrics ABIS is helping digitize paper files of the Guinean police. “The automatization brought by ABIS will shorten the time needed for identification from hours to seconds, and it will be made available to all police stations in the country,” Juraj Stubner, responsible for the delivery of the system, explains. Any new fingerprint loaded into the ABIS is immediately checked against existing records, instantly notifying the user of potential matches in open cases. The accuracy of biometrics allows us to prevent judicial errors and will greatly help us in administering justice,” he adds. Innovatrics is also providing the required training and know-how necessary for the police to efficiently use ABIS for their intended purposes. Innovatrics is a trusted provider of ABIS and other biometric solutions founded in 2004.
}}
<blockquote>
Innovatrics, a trusted provider of biometric solutions, has successfully deployed its Automated Biometric Identification System (ABIS) in the initial stage of cooperation with Guinea’s police force. They will now be able to utilize computer power to quickly identify criminals by their fingerprints. Along with digitizing their paper files, ABIS also allows them to enroll new records into the database significantly faster through dedicated fingerprint scanners. Digital enrollment makes it much simpler to collect biometric samples.
 
In the first phase, the system, fully developed and deployed by Innovatrics, will work with fingerprints and palm prints and will also be used for digitizing existing paper files. Afterwards, facial recognition and remote access for identification in the field will be added. The revolutionary part of the whole solution is ensuring the capabilities of ABIS are spread out and readily utilized in all parts of the country with access to the central database.
 
Any new fingerprint loaded into the ABIS is immediately checked against existing records, instantly notifying the user of potential matches in open cases. An adjudication tool has been developed to allow a forensic expert for side-by-side analysis of potentially matching fingerprints. It allows them to annotate matches, accurately measure their sizes, compare partial latent fingerprints, and much more. [[CiteRef::innovatricsInnovatricsABISBolsters2022]]
</blockquote>

Innovatrics Face Recognition deployment at elections in Guinea

2022-12-19T20:48:28Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=innovatricsInnovatricsFaceRecognition2020
|Deployment Status=Concluded
|Deployment Type=Analytics, Biometric Cameras
|Has event={{HasEvent|Start|2020-09-01|Documented|innovatricsInnovatricsFaceRecognition2020|The technology was used during elections in Guinea in 2020}}
|City=Conakry
|Country=Guinea
|managed by=Innovatrics
|used by=Government of Guinea
|Datasets Used=Unknown Dataset 0189
|Software Deployed=Innovatrics AFIS
|Summary=The Government of Guinea used Innovatrics Face Recognition system for its elections. Through a face recognition upgrade, the biometric registry solution could perform 1-to-all facial identification for every voter, include face and fingerprints in the biometric voter profile, and conduct an extra identity check inside the same voting center. The detected duplicates were then removed to prevent multiple voting. After checking for duplicates, the photos in the registry were also analyzed by the AI to identify minors. As a result, more than 200,000 ineligible voters, which includes duplicates and minors, have been selected and removed from the electoral register.
}}
<blockquote>
Supporting the ID4Africa Movement to establish identity-for-all, Innovatrics has presented how deploying its proprietary face recognition technology benefited the recently concluded Guinea elections.
 
According to Innovatrics Head of Government Solutions, Matus Kapusta, a complete solution was designed to uphold the ‘one man, one vote’ principle. Two problems were specifically addressed: voters with 2 valid voter’s cards and children registered on voter’s lists.
 
Through a face recognition upgrade, the biometric registry solution could perform 1-to-all facial identification for every voter, include face and fingerprints in the biometric voter profile, and conduct an extra identity check inside the same voting center. The detected duplicates were then removed to prevent multiple voting.
 
After checking for duplicates, the photos in the registry were also analyzed by the AI to identify minors. Every voter gets a ‘minor score’, and the threshold can be adjusted accordingly to remove underage enrollees from the register. As a result, more than 200,000 ineligible voters, which includes duplicates and minors, have been selected and removed from the electoral register.
 
The system was successfully audited by experts from the independent body, ECOWAS-CEDEAO, giving credibility to Guinea’s electoral register. The voter’s card is also widely accepted as a general ID, reflecting Innovatrics’ contribution to develop responsible identity ecosystems in the service of development and humanitarian action for Africa and beyond. [[CiteRef::innovatricsInnovatricsFaceRecognition2020]]
</blockquote>

Innovatrics Face Recognition deployment at elections in Guinea

2022-12-19T16:37:32Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=innovatricsInnovatricsFaceRecognition2020 |Deployment Status=Concluded |Deployment Type=Analytics, Biometric Cameras |..."

Unknown Dataset 0189

2022-12-19T16:31:21Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0189 |Certainty=Documented |Country=Guinea |is dataset category=Civil Database |Developed by=Innovatrics |Has event={{HasEvent|Start|2..."

{{Dataset
|has full name=Unknown Dataset 0189
|Certainty=Documented
|Country=Guinea
|is dataset category=Civil Database
|Developed by=Innovatrics
|Has event={{HasEvent|Start|2020-09-01|Documented|innovatricsInnovatricsFaceRecognition2020|The presidential elections in Guinea}}
|Dataset Category=Facial Images, Fingerprints
|Owning institution=Government of Guinea
|Custodian institution=Innovatrics
|has images=Yes
|has individuals=Yes
|runs database software=Innovatrics AFIS
}}
==Description==
The dataset presumably contains information about all inhabitants of Guinea.
<blockquote>
Through a face recognition upgrade, the biometric registry solution could perform 1-to-all facial identification for every voter, include face and fingerprints in the biometric voter profile, and conduct an extra identity check inside the same voting center. The detected duplicates were then removed to prevent multiple voting.
 
After checking for duplicates, the photos in the registry were also analyzed by the AI to identify minors. Every voter gets a ‘minor score’, and the threshold can be adjusted accordingly to remove underage enrollees from the register. As a result, more than 200,000 ineligible voters, which includes duplicates and minors, have been selected and removed from the electoral register. [[CiteRef::innovatricsInnovatricsFaceRecognition2020]]
</blockquote>

Government of Guinea

2022-12-19T16:27:24Z

Olga: Created page with "{{Institution |Institution Full Name=The Government of Guinea |City=Conakry |Address=Villa 6, Cité des Nations, Conakry, Guinea |Institution Type=Government |Institution Sect..."

{{Institution
|Institution Full Name=The Government of Guinea
|City=Conakry
|Address=Villa 6, Cité des Nations, Conakry, Guinea
|Institution Type=Government
|Institution Sector=Government
|URL=https://www.sgg.gov.gn
}}
==Description==

Facial recognition deployment in the airport of Dakar

2022-12-19T16:19:01Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=znvZTENetViewCreates2022 |Deployment Status=Planned |Deployment Type=Analytics, Biometric Cameras, Criminal investigat..."

{{Deployments
|Information Certainty=Documented
|CiteRef=znvZTENetViewCreates2022
|Deployment Status=Planned
|Deployment Type=Analytics, Biometric Cameras, Criminal investigations
|Has event={{HasEvent|Start|2023-01-01|Speculative|znvZTENetViewCreates2022|The deployment is only planned yet and should be put in place during the 2021-2025 touristic season}}
|City=Dakar
|Country=Senegal
|managed by=Unknown Institution 0096
|used by=Blaise Diagne International Airport
|Datasets Used=Unknown Dataset 0188, IFRS (Dataset)
|Software Deployed=Unknown Products 0119
|Summary=Senegal Blaise Diagne International Airport starts facial recognition. The intrusions will be signaled with alerts so that the gendarmerie and the companies' personnel can react in real time. The video surveillance with facial recognition will also make it possible to monitor operations with cameras of various types installed throughout the airport. The system will use a special dataset created for the airport with the use of the UN's and Internporl's databases.
}}
Blaise Diagne de Diass International Airport (AIBD), airport in the Senegalese capital Dakar, will be equipped with video surveillance with facial recognition. The video surveillance with facial recognition will also make it possible to monitor operations with cameras of various types installed throughout the airport. In addition to facial recognition, the system will make it possible to identify people as soon as they enter the bottlenecks that have been defined.
<blockquote>
L’Aéroport international Blaise Diagne de Diass (AIBD), aéroport de la capitale sénégalaise Dakar, sera doté d’une vidéo surveillance avec reconnaissance faciale, a annoncé le Secrétaire général de la Haute autorité des aéroports du Sénégal (HAAS), le colonel Ababacar Sédikh Diouf.
 
"Avec le nouveau système qui va être mis en œuvre, on anticipe déjà parce qu’étant intelligent et qui prend en compte même le positionnement d’un aéronef ainsi que les intrusions qui sont signalées avec des alertes pour que la gendarmerie et les personnels des compagnies puissent réagir en temps réel", a expliqué le SG du HAAS.
 
Le colonel Diouf a ajouté que la vidéo surveillance avec reconnaissance faciale va aussi permettre de faire un suivi des opérations avec des caméras de types divers installées un peu partout dans l’aéroport.
 
Selon lui, outre la reconnaissance faciale, le système va permettre d’identifier des personnes dès qu’elles entrent dans les goulots d’étranglement qui ont été définis.
 
"Tout ce qui se passera à l’aéroport sera vu sur nos écrans. La vidéo va nous signaler les identités et les personnes suspectes vont être suivies et repérées. Ce qui nous permettra de faire un contrôle beaucoup plus ciblé", a fait savoir Ababacar Sédikh Diouf. [CiteRef::znvZTENetViewCreates2022]]
 
</blockquote>

Unknown Dataset 0188

2022-12-19T16:10:00Z

Olga:

{{Dataset
|has full name=Unknown Dataset 0188
|Certainty=Speculative
|Country=Senegal
|Developed by=Unknown Institution 0096
|Has event={{HasEvent|Start|2023-01-01|Speculative|znvZTENetViewCreates2022|The dataset should be ready for use before the year 2025}}
|Dataset Category=Facial Images
|Owning institution=Blaise Diagne International Airport
|Custodian institution=Unknown Institution 0096
|has images=Yes
|has individuals=Yes
|runs database software=Unknown Products 0119
}}
==Description==
The facial recognition system will see everyone going through the airport. The system will inform the airport authorities about any suspicious people.
<blockquote>"Tout ce qui se passera à l’aéroport sera vu sur nos écrans. La vidéo va nous signaler les identités et les personnes suspectes vont être suivies et repérées. Ce qui nous permettra de faire un contrôle beaucoup plus ciblé", a fait savoir Ababacar Sédikh Diouf. [[CiteRef::znvZTENetViewCreates2022]]
</blockquote>
This technology will also allow the airport authorities to enter the Interpol database, in which wanted persons will be found and those on the terrorist list. The High Authority of Airports of Senegal promises to put all the names of the people it will receive from the United Nations and those who are banned from travel and the targeted terrorists.
<blockquote>
Cette technologie permettra également à l’AIBD d’entrer dans la base de données d’Interpol, dans laquelle des personnes recherchées vont être retrouvées, ainsi que celles se trouvant sur la liste des terroristes, a ajouté le colonel Diouf.
 
Dans la base de données de l’AIBD, a-t-il signalé, la haute Autorité des Aéroports du Sénégal promet d’y mettre tous les noms des personnes qu’elle va recevoir des Nations Unies de même que ceux des personnes qui sont interdites de voyage et des terroristes ciblés.
[[CiteRef::znvZTENetViewCreates2022]]
</blockquote>

Unknown Dataset 0188

2022-12-19T16:02:25Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0188 |Certainty=Speculative |Country=Senegal |Developed by=Unknown Institution 0096 |Has event={{HasEvent|Start|2023-01-01|Speculative..."

Unknown Products 0119

2022-12-19T16:01:03Z

Olga: Created page with "{{Products |Developed by=Unknown Institution 0096 |Technology Type=Face Recognition }} The software used in the Blaise Diagne International Airport for facial recognition and..."

{{Products
|Developed by=Unknown Institution 0096
|Technology Type=Face Recognition
}}
The software used in the Blaise Diagne International Airport for facial recognition and video surveillance.

Unknown Institution 0096

2022-12-19T15:53:17Z

Olga: Created page with "{{Institution |Institution Full Name=Unknown Institution 0096 }} ==Description== An institution that will be managing the facial recognition deployment in the airport of Dakar..."

{{Institution
|Institution Full Name=Unknown Institution 0096
}}
==Description==
An institution that will be managing the facial recognition deployment in the airport of Dakar (Blaise Diagne International Airport).

Blaise Diagne International Airport

2022-12-19T15:47:08Z

Olga: Created page with "{{Institution |Institution Full Name=Blaise Diagne International Airport |Creation Date=2017-12-07 |City=Dakar |Address=MWCM+83R, Ndiass, Senegal |Institution Type=Company |In..."

{{Institution
|Institution Full Name=Blaise Diagne International Airport
|Creation Date=2017-12-07
|City=Dakar
|Address=MWCM+83R, Ndiass, Senegal
|Institution Type=Company
|Institution Sector=Government
|URL=https://dakaraeroport.com/en
}}
==Description==

Senegal

2022-12-19T15:41:51Z

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

Dakar

2022-12-19T15:40:29Z

Olga: Created page with "{{City |is in Country=Senegal |has Coordinates=14.69343, -17.44794 }}"

{{City
|is in Country=Senegal
|has Coordinates=14.69343, -17.44794
}}

Antananarivo

2022-12-16T02:19:15Z

Olga:

{{City
|is in Country=Madagascar
|has Coordinates=-18.91001, 47.52558
}}

Antananarivo

2022-12-16T02:18:49Z

Olga: Created page with "{{City |is in Country=Madagascar }}"

Madagascar

2022-12-16T02:16:34Z

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

Conakry

2022-12-16T01:59:17Z

Olga: Created page with "{{City |is in Country=Guinea |has Coordinates=9.51706, -13.69984 }}"

{{City
|is in Country=Guinea
|has Coordinates=9.51706, -13.69984
}}

Guinea

2022-12-16T01:49:20Z

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

Pangea biometric system in the Democratic Republic of the Congo

2022-12-16T01:11:26Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=mascellinoPangeaSigns70M2022, orbachIsraelPangeaWins2022
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|Start|2018-01-01|Speculative|mascellinoPangeaSigns70M2022}}
|City=Kinshasa
|Country=Democratic Republic of the Congo
|managed by=Pangea
|used by=Congolese Interior Ministry
|Datasets Used=Unknown Dataset 0184
|Software Deployed=Pangea ABIS
|Summary=Israel's Pangea has been awarded a government contract by the Democratic Republic of Congo (DRC) worth more than $70 million. The firm will develop a centralized, automated criminal biometric identification system. The system will enable the creation of a nationwide digital database that will include the demographic and face and fingerprint biometrics of offenders currently listed in the archive. The database will reportedly be accessible from 150 police stations across the country.
}}
<blockquote>
Israeli firm Pangea has been awarded a government contract by the Democratic Republic of Congo (DRC) worth more than $70 million.
 
As part of the new public-private partnership (PPP) agreement, the firm will develop and operate a centralized, automated criminal biometric identification system (ABIS) that the DRC government will use to generate certificates of integrity (also known as certificates of non-criminal record) for citizens.
 
The system will enable the creation of a nationwide digital database that will include the demographic and face and fingerprint biometrics of offenders currently listed in the archive. The database will reportedly be accessible from 150 police stations across the country.
 
From a technical standpoint, the biometric system will reportedly support various identification features and be protected by security measures to prevent duplication, counterfeiting and other illegal activities.
 
Pangea and the Congolese Interior Ministry are discussing the possibility of encrypting biometric features in the ABIS, enabling access only after unique applications from authorized individuals.
[[CiteRef::mascellinoPangeaSigns70M2022]]
</blockquote>

Pangea biometric system in the Democratic Republic of the Congo

2022-12-16T01:00:14Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=mascellinoPangeaSigns70M2022, orbachIsraelPangeaWins2022 |Deployment Type=Biometric Cameras, Criminal investigations |..."

{{Deployments
|Information Certainty=Documented
|CiteRef=mascellinoPangeaSigns70M2022, orbachIsraelPangeaWins2022
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|Start|2018-01-01|Speculative|mascellinoPangeaSigns70M2022}}
|City=Kinshasa
|Country=Democratic Republic of the Congo
|managed by=Pangea
|used by=Congolese Interior Ministry
|Datasets Used=Unknown Dataset 0184
|Software Deployed=Pangea ABIS
|Summary=Israel's Pangea has been awarded a government contract by the Democratic Republic of Congo (DRC) worth more than $70 million. The firm will develop a centralized, automated criminal biometric identification system. The system will enable the creation of a nationwide digital database that will include the demographic and face and fingerprint biometrics of offenders currently listed in the archive. The database will reportedly be accessible from 150 police stations across the country.
}}
<blockquote>
Israeli firm Pangea has been awarded a government contract by the Democratic Republic of Congo (DRC) worth more than $70 million.
 
As part of the new public-private partnership (PPP) agreement, the firm will develop and operate a centralized, automated criminal biometric identification system (ABIS) that the DRC government will use to generate certificates of integrity (also known as certificates of non-criminal record) for citizens.
 
The system will enable the creation of a nationwide digital database that will include the demographic and face and fingerprint biometrics of offenders currently listed in the archive. The database will reportedly be accessible from 150 police stations across the country.
 
From a technical standpoint, the biometric system will reportedly support various identification features and be protected by security measures to prevent duplication, counterfeiting and other illegal activities.
 
Pangea and the Congolese Interior Ministry are discussing the possibility of encrypting biometric features in the ABIS, enabling access only after unique applications from authorized individuals.
[[CiteRef::mascellinoPangeaSigns70M2022]]
</blockquote>

Unknown Dataset 0184

2022-12-16T00:54:00Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0184 |Certainty=Documented |Country=Democratic Republic of the Congo |is dataset category=Civil Database, Law Enforcement |Developed b..."

{{Dataset
|has full name=Unknown Dataset 0184
|Certainty=Documented
|Country=Democratic Republic of the Congo
|is dataset category=Civil Database, Law Enforcement
|Developed by=Pangea
|Dataset Category=Facial Images, Fingerprints
|URL=https://www.biometricupdate.com/202211/pangea-signs-70m-biometric-contract-with-congo
|Owning institution=Congolese Interior Ministry
|Custodian institution=Pangea
|has images=Yes
|has individuals=Yes
|runs database software=Pangea ABIS
}}
==Description==

<blockquote>
Israeli firm Pangea has been awarded a government contract by the Democratic Republic of Congo (DRC) worth more than $70 million. 
As part of the new public-private partnership (PPP) agreement, the firm will develop and operate a centralized, automated criminal biometric identification system (ABIS) that the DRC government will use to generate certificates of integrity (also known as certificates of non-criminal record) for citizens. 
The system will enable the creation of a nationwide digital database that will include the demographic and face and fingerprint biometrics of offenders currently listed in the archive. The database will reportedly be accessible from 150 police stations across the country.[[CiteRef::mascellinoPangeaSigns70M2022]]
</blockquote>

Congolese Interior Ministry

2022-12-16T00:14:10Z

Olga: Created page with "{{Institution |Institution Full Name=The Ministry of the Interior and Security |City=Kinshasa |Institution Type=Government |Institution Sector=Government }} ==Description=="

{{Institution
|Institution Full Name=The Ministry of the Interior and Security
|City=Kinshasa
|Institution Type=Government
|Institution Sector=Government
}}
==Description==

Kinshasa

2022-12-15T23:58:31Z

Olga: Created page with "{{City |is in Country=Democratic Republic of the Congo |has Coordinates=-4.32171, 15.3126 }}"

{{City
|is in Country=Democratic Republic of the Congo
|has Coordinates=-4.32171, 15.3126
}}

Democratic Republic of the Congo

2022-12-15T23:37:05Z

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

Safe City deployments in Mauritius

2022-12-09T23:59:58Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=huaweiBuildingSafeMauritius2022, lemauricienSafeCityReconnaissance2021
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|End|2021-01-01|Speculative|lemauricienSafeCityReconnaissance2021}}
|City=Port-Louis
|Country=Mauritius
|managed by=Huawei
|used by=Mauritius Police Force
|Datasets Used=Unknown Dataset 0165
|Software Deployed=Safe City Software by Huawei
|Summary=Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.
}}
<blockquote>
In the project’s early stages, Huawei and MT (Mauritius Telecom) succeeded in simulating the scenarios of theft of tourists’ goods or vehicles, covering the following processes: incident reporting, call taking, dispatching, image-based investigation (video playback, facial recognition, and reverse search), and suspect and suspicious-vehicle surveillance. The demonstration greatly impressed the MPF and Ministry of Public Infrastructure and Land Transport. 
Delivery of the project’s first phase is currently underway, with completion expected in 2019. Once the project is successfully delivered, the solution will provide visualized command and efficient collaboration for the MPF (Mauritius Police Force) and Ministry of Public Infrastructure and Land Transport. Emergency response time (call taking and dispatching) will be reduced to less than 15 minutes, the emergency handling efficiency will be improved by 60 percent, and the linkage between the Safe City system and incident reporting system will effectively reduce crime rates. 
The solution provides the following intelligent analysis functions for efficient case investigation: 
 Facial recognition 
The system automatically generates alarms when detecting suspicious personnel. Facial recognition accuracy exceeds 95 percent, and license plate recognition accuracy exceeds 99 percent. 
 Intelligent search 
The system can quickly locate recorded objects and identify features, improving search and video analysis efficiency by nearly 25 percent. 
 Video synopsis 
Several hours of recorded video can be aggregated into minutes. For example, a 50-minute video clip can be aggregated down to two minutes. 
 Intelligent applications 
Track analysis and real-time surveillance provide valuable clues for case and incident investigations. 
Intelligent road surveillance also greatly improves traffic control in Mauritius. Specifically, road surveillance improves road capacity, thereby decreasing the rate of roadway accidents by 45 percent. In addition, the system supports vehicle identification (such as cloned license plates and stolen vehicles) and blacklist control. That is, the system can proactively detect blacklisted vehicles through surveillance cameras along the road and report them in a timely manner, implementing multi-department linkage.[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

4000 cameras in the cities of Mauritius have facial recognition technology. In 2021 120 criminal cases were resolved thanks to the Safe City deployments.
<blockquote>La technologie de reconnaissance faciale est installée dans les 4 000 caméras de Safe City. Cette technologie sera utilisée pour suivre le mouvement des criminels récidivistes, les personnes recherchées et celles portées disparues.
« Les images de ces catégories de personnes seront téléchargées sur la base de données du système par des policiers formés et autorisés », a expliqué le chef du gouvernement.
À noter qu’en 2021, 120 affaires ont été résolues grâce aux caméras de Safe City.
[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

Safe City deployments in Mauritius

2022-12-09T23:58:14Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=huaweiBuildingSafeMauritius2022, lemauricienSafeCityReconnaissance2021
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|End|2021-01-01|Speculative|lemauricienSafeCityReconnaissance2021}}
|City=Port-Louis
|Country=Mauritius
|managed by=Huawei
|used by=Mauritius Police Force
|Datasets Used=Unknown Dataset 0165
|Software Deployed=Safe City Software by Huawei
|Summary=Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.
}}
<blockquote>
In the project’s early stages, Huawei and MT (Mauritius Telecom) succeeded in simulating the scenarios of theft of tourists’ goods or vehicles, covering the following processes: incident reporting, call taking, dispatching, image-based investigation (video playback, facial recognition, and reverse search), and suspect and suspicious-vehicle surveillance. The demonstration greatly impressed the MPF and Ministry of Public Infrastructure and Land Transport. 
Delivery of the project’s first phase is currently underway, with completion expected in 2019. Once the project is successfully delivered, the solution will provide visualized command and efficient collaboration for the MPF (Mauritius Police Force) and Ministry of Public Infrastructure and Land Transport. Emergency response time (call taking and dispatching) will be reduced to less than 15 minutes, the emergency handling efficiency will be improved by 60 percent, and the linkage between the Safe City system and incident reporting system will effectively reduce crime rates. 
The solution provides the following intelligent analysis functions for efficient case investigation:
 Facial recognition 
The system automatically generates alarms when detecting suspicious personnel. Facial recognition accuracy exceeds 95 percent, and license plate recognition accuracy exceeds 99 percent. 
 Intelligent search 
The system can quickly locate recorded objects and identify features, improving search and video analysis efficiency by nearly 25 percent. 
 Video synopsis 
Several hours of recorded video can be aggregated into minutes. For example, a 50-minute video clip can be aggregated down to two minutes.
 Intelligent applications 
Track analysis and real-time surveillance provide valuable clues for case and incident investigations. 
Intelligent road surveillance also greatly improves traffic control in Mauritius. Specifically, road surveillance improves road capacity, thereby decreasing the rate of roadway accidents by 45 percent. In addition, the system supports vehicle identification (such as cloned license plates and stolen vehicles) and blacklist control. That is, the system can proactively detect blacklisted vehicles through surveillance cameras along the road and report them in a timely manner, implementing multi-department linkage.[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

4000 cameras in the cities of Mauritius have facial recognition technology. In 2021 120 criminal cases were resolved thanks to the Safe City deployments.
<blockquote>La technologie de reconnaissance faciale est installée dans les 4 000 caméras de Safe City. Cette technologie sera utilisée pour suivre le mouvement des criminels récidivistes, les personnes recherchées et celles portées disparues.
« Les images de ces catégories de personnes seront téléchargées sur la base de données du système par des policiers formés et autorisés », a expliqué le chef du gouvernement.
À noter qu’en 2021, 120 affaires ont été résolues grâce aux caméras de Safe City.
[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

Safe City deployments in Mauritius

2022-12-09T23:56:23Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=huaweiBuildingSafeMauritius2022, lemauricienSafeCityReconnaissance2021
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|End|2021-01-01|Speculative|lemauricienSafeCityReconnaissance2021}}
|City=Port-Louis
|Country=Mauritius
|managed by=Huawei
|used by=Mauritius Police Force
|Datasets Used=Unknown Dataset 0165
|Software Deployed=Safe City Software by Huawei
|Summary=Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.
}}
<blockquote>
In the project’s early stages, Huawei and MT (Mauritius Telecom) succeeded in simulating the scenarios of theft of tourists’ goods or vehicles, covering the following processes: incident reporting, call taking, dispatching, image-based investigation (video playback, facial recognition, and reverse search), and suspect and suspicious-vehicle surveillance. The demonstration greatly impressed the MPF and Ministry of Public Infrastructure and Land Transport. 
Delivery of the project’s first phase is currently underway, with completion expected in 2019. Once the project is successfully delivered, the solution will provide visualized command and efficient collaboration for the MPF (Mauritius Police Force) and Ministry of Public Infrastructure and Land Transport. Emergency response time (call taking and dispatching) will be reduced to less than 15 minutes, the emergency handling efficiency will be improved by 60 percent, and the linkage between the Safe City system and incident reporting system will effectively reduce crime rates. 
The solution provides the following intelligent analysis functions for efficient case investigation:
Facial recognition 
The system automatically generates alarms when detecting suspicious personnel. Facial recognition accuracy exceeds 95 percent, and license plate recognition accuracy exceeds 99 percent. 
 Intelligent search 
The system can quickly locate recorded objects and identify features, improving search and video analysis efficiency by nearly 25 percent. 
 Video synopsis 
Several hours of recorded video can be aggregated into minutes. For example, a 50-minute video clip can be aggregated down to two minutes. 
Intelligent applications 
Track analysis and real-time surveillance provide valuable clues for case and incident investigations. 
Intelligent road surveillance also greatly improves traffic control in Mauritius. Specifically, road surveillance improves road capacity, thereby decreasing the rate of roadway accidents by 45 percent. In addition, the system supports vehicle identification (such as cloned license plates and stolen vehicles) and blacklist control. That is, the system can proactively detect blacklisted vehicles through surveillance cameras along the road and report them in a timely manner, implementing multi-department linkage.[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

4000 cameras in the cities of Mauritius have facial recognition technology. In 2021 120 criminal cases were resolved thanks to the Safe City deployments.
<blockquote>La technologie de reconnaissance faciale est installée dans les 4 000 caméras de Safe City. Cette technologie sera utilisée pour suivre le mouvement des criminels récidivistes, les personnes recherchées et celles portées disparues.
« Les images de ces catégories de personnes seront téléchargées sur la base de données du système par des policiers formés et autorisés », a expliqué le chef du gouvernement.
À noter qu’en 2021, 120 affaires ont été résolues grâce aux caméras de Safe City.
[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

Safe City deployments in Mauritius

2022-12-09T23:54:30Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=huaweiBuildingSafeMauritius2022, lemauricienSafeCityReconnaissance2021 |Deployment Status=Ongoing |Deployment Type=Bio..."

{{Deployments
|Information Certainty=Documented
|CiteRef=huaweiBuildingSafeMauritius2022, lemauricienSafeCityReconnaissance2021
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations
|Has event={{HasEvent|End|2021-01-01|Speculative|lemauricienSafeCityReconnaissance2021}}
|City=Port-Louis
|Country=Mauritius
|managed by=Huawei
|used by=Mauritius Police Force
|Datasets Used=Unknown Dataset 0165
|Software Deployed=Safe City Software by Huawei
|Summary=Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.
}}
<blockquote>
In the project’s early stages, Huawei and MT (Mauritius Telecom) succeeded in simulating the scenarios of theft of tourists’ goods or vehicles, covering the following processes: incident reporting, call taking, dispatching, image-based investigation (video playback, facial recognition, and reverse search), and suspect and suspicious-vehicle surveillance. The demonstration greatly impressed the MPF and Ministry of Public Infrastructure and Land Transport.
Delivery of the project’s first phase is currently underway, with completion expected in 2019. Once the project is successfully delivered, the solution will provide visualized command and efficient collaboration for the MPF (Mauritius Police Force) and Ministry of Public Infrastructure and Land Transport. Emergency response time (call taking and dispatching) will be reduced to less than 15 minutes, the emergency handling efficiency will be improved by 60 percent, and the linkage between the Safe City system and incident reporting system will effectively reduce crime rates.
The solution provides the following intelligent analysis functions for efficient case investigation:
Facial recognition 
The system automatically generates alarms when detecting suspicious personnel. Facial recognition accuracy exceeds 95 percent, and license plate recognition accuracy exceeds 99 percent. 
Intelligent search 
The system can quickly locate recorded objects and identify features, improving search and video analysis efficiency by nearly 25 percent. 
Video synopsis 
Several hours of recorded video can be aggregated into minutes. For example, a 50-minute video clip can be aggregated down to two minutes. 
Intelligent applications 
Track analysis and real-time surveillance provide valuable clues for case and incident investigations.
Intelligent road surveillance also greatly improves traffic control in Mauritius. Specifically, road surveillance improves road capacity, thereby decreasing the rate of roadway accidents by 45 percent. In addition, the system supports vehicle identification (such as cloned license plates and stolen vehicles) and blacklist control. That is, the system can proactively detect blacklisted vehicles through surveillance cameras along the road and report them in a timely manner, implementing multi-department linkage.[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

4000 cameras in the cities of Mauritius have facial recognition technology. In 2021 120 criminal cases were resolved thanks to the Safe City deployments.
<blockquote>La technologie de reconnaissance faciale est installée dans les 4 000 caméras de Safe City. Cette technologie sera utilisée pour suivre le mouvement des criminels récidivistes, les personnes recherchées et celles portées disparues.
« Les images de ces catégories de personnes seront téléchargées sur la base de données du système par des policiers formés et autorisés », a expliqué le chef du gouvernement.
À noter qu’en 2021, 120 affaires ont été résolues grâce aux caméras de Safe City.
[[CiteRef::lemauricienSafeCityReconnaissance2021]]
</blockquote>

Unknown Dataset 0165

2022-12-09T23:21:32Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0165 |Certainty=Speculative |Country=Mauritius |is dataset category=Civil Database, Law Enforcement |Developed by=Huawei, Mauritius Po..."

{{Dataset
|has full name=Unknown Dataset 0165
|Certainty=Speculative
|Country=Mauritius
|is dataset category=Civil Database, Law Enforcement
|Developed by=Huawei, Mauritius Police Force
|Dataset Category=Voice, Facial Images
|URL=https://e.huawei.com/topic/leading-new-ict-ru/mauritius-safecity-case.html
|Owning institution=Mauritius Police Force
|Custodian institution=Huawei
|has images=Yes
|has individuals=Yes
|runs database software=Safe City Software by Huawei
}}
==Description==

There is no clear indication of the dataset used for the Safe City program in Mauritius. However, it can be speculated that a specific dataset could have been created with the help of Huawei and local Police Force. Allegedly, the dataset contains information about the inhabitants of Mauritius, including images, voice, and structured data. [[CiteRef::huaweiBuildingSafeMauritius2022]]

Mauritius Police Force

2022-12-09T23:01:11Z

Olga: Created page with "{{Institution |Institution Full Name=Mauritius Police Force |Creation Date=1767-08-01 |City=Port-Louis |Address=RFPX+743, Brabant St, Port Louis, Mauritius |Institution Type=G..."

{{Institution
|Institution Full Name=Mauritius Police Force
|Creation Date=1767-08-01
|City=Port-Louis
|Address=RFPX+743, Brabant St, Port Louis, Mauritius
|Institution Type=Government
|Institution Sector=Government
|URL=https://police.govmu.org/police/
}}
==Description==

Unknown Dataset 0149

2022-12-03T22:51:21Z

Olga:

{{Dataset
|has full name=Unknown Dataset 0149
|Certainty=Speculative
|Country=Cameroon
|is dataset category=Civil Database, Law Enforcement
|Developed by=ZTE Corporation
|Has event={{HasEvent|Start|2017-01-05|Documented|zamboCamerounReconnaissanceFaciale2022}}
|Dataset Category=Facial Images, Fingerprints
|Owning institution=Government of Cameroon
}}
==Description==
The video surveillance system in Cameroon contains information about the country's inhabitants. It is not clear who developed the dataset. However, it can be speculated that ZTE Corporation was the leading technology provider since they are the principal engineer for the deployments. [[CiteRef::zamboCamerounReconnaissanceFaciale2022]]

ZTE video surveillance deployments in Cameroon

2022-12-03T22:50:11Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=zamboCamerounReconnaissanceFaciale2022 |Deployment Status=Ongoing |Deployment Type=Biometric Cameras, Surveillance |Ha..."

{{Deployments
|Information Certainty=Documented
|CiteRef=zamboCamerounReconnaissanceFaciale2022
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Surveillance
|Has event={{HasEvent|Start|2017-01-05|Documented|zamboCamerounReconnaissanceFaciale2022}}
|City=Yaoundé
|Country=Cameroon
|managed by=ZTE Corporation
|used by=Government of Cameroon
|Datasets Used=Unknown Dataset 0149
|Software Deployed=Unknown Products 0094
|Summary=In 10 cities of Cameroon, video surveillance deployments are being installed. The project involves the Chinese company ZTE. Authorities in Cameroon met with representatives of ZTE in 2002 to launch cooperation in this field. After several decades of preparations, the first cameras were deployed in 2007. The cameras support face recognition and 360-degree surveillance to match information with a specially created dataset containing facial images and finger prints of local inhabitants.
}}
Video surveillance is offered by the National Emergency Telecommunications Network (RNTU), in order to ensure the safety of people and their property in the 10 cities of the country. The technology is ptobided by the Chinese company ZTE.
<blockquote>
Ces services qu’offre le Réseau national des télécommunications d’Urgence (RNTU), en vue d’assurer la sécurité des personnes et de leurs biens dans les 10 villes du pays. C’est l’entreprise chinoise ZTE qui les a présentés aux ministres de l’Administration territoriale, Paul Atanga Nji et son homologue des Postes et Télécommunications, Minette Libom Li Likeng, qui dirigeait la visite au sein de cette structure le13 juillet 2002 à Ekounou, Yaoundé.
[[CiteRef::zamboCamerounReconnaissanceFaciale2022]]
</blockquote>
With terminals installed in 50 gendarmerie stations throughout the territory, it will make it possible to host citizen information in the database. In this way, it would be possible to trace an individual from his fingerprint, facial recognition, among others.
<blockquote>
En ce qui concerne le troisième service qui est la vidéo surveillance, bien de Caméras surveillance seraient dissimulées dans les coins stratégiques des villes. Bien que le RNTU n’ait pas encore été inauguré par le Ministère des Postes et Télécommunications, la gendarmerie exploite déjà les cameras rotatives à 360 degrés de la structure pour mener ses investigations, tout comme la police.
 
Le service de e.police est le quatrième de la liste. Avec des terminaux installés dans 50 postes de gendarmerie sur toute l’étendue du territoire, il permettra d’héberger les informations des citoyens dans la base de données. De cette manière, il serait possible de retracer un individu à partir de son emprunte digitale, de la reconnaissance faciale, entre autres.[[CiteRef::zamboCamerounReconnaissanceFaciale2022]]
</blockquote>

Unknown Dataset 0149

2022-12-03T21:11:44Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0149 |Certainty=Speculative |Country=Cameroon |is dataset category=Civil Database, Law Enforcement |Developed by=ZTE Corporation |Has..."

{{Dataset
|has full name=Unknown Dataset 0149
|Certainty=Speculative
|Country=Cameroon
|is dataset category=Civil Database, Law Enforcement
|Developed by=ZTE Corporation
|Has event={{HasEvent|Start|2017-01-05|Documented|zamboCamerounReconnaissanceFaciale2022}}
|Dataset Category=Facial Images
|Owning institution=Government of Cameroon
}}
==Description==

The video surveillance system in Cameroon contains information about the country's inhabitants. It is not clear who developed the dataset. However, it can be speculated that ZTE Corporation was the leading technology provider since they are the principal engineer for the deployments. [[CiteRef::zamboCamerounReconnaissanceFaciale2022]]

Unknown Products 0094

2022-12-03T18:29:27Z

Olga: Created page with "{{Products |Developed by=ZTE Corporation |Technology Type=Facial Recognition }} A technology developed by the ZTE corporation used for video surveillance and facial recognition."

{{Products
|Developed by=ZTE Corporation
|Technology Type=Facial Recognition
}}
A technology developed by the ZTE corporation used for video surveillance and facial recognition.

Government of Cameroon

2022-12-03T18:21:15Z

Olga: Created page with "{{Institution |Institution Full Name=Government of Cameroon |City=Yaoundé |Address=Down Town Yaounde, May 20 Boulevard |Institution Type=Government |Institution Sector=Govern..."

{{Institution
|Institution Full Name=Government of Cameroon
|City=Yaoundé
|Address=Down Town Yaounde, May 20 Boulevard
|Institution Type=Government
|Institution Sector=Government
|URL=https://www.spm.gov.cm/site/?q=en
}}
==Description==

ZTE Corporation

2022-12-03T18:15:35Z

Olga: Created page with "{{Institution |Institution Full Name=ZTE Corporation |Creation Date=1985-01-01 |City=Shenzhen |Address=No. 55, Hi-tech Road South, ShenZhen, P.R.China |Institution Type=Compan..."

{{Institution
|Institution Full Name=ZTE Corporation
|Creation Date=1985-01-01
|City=Shenzhen
|Address=No. 55, Hi-tech Road South, ShenZhen, P.R.China
|Institution Type=Company
|Institution Sector=Telecom
|URL=https://www.zte.com.cn/global/
}}
==Description==
ZTE Corporation is a Chinese partially state-owned technology company that specializes in telecommunication. The company has faced criticism in the United States, India, and Sweden over ties to the Chinese government that could enable mass surveillance. In 2017, ZTE was fined for illegally exporting U.S. technology to Iran and North Korea in violations of economic sanctions.

Yaoundé

2022-12-03T18:08:31Z

Olga: Created page with "{{City |is in Country=Cameroon |has Coordinates=3.86899, 11.52133 }}"

{{City
|is in Country=Cameroon
|has Coordinates=3.86899, 11.52133
}}

Cameroon

2022-12-03T18:05:23Z

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

Algiers

2022-12-03T17:59:06Z

Olga: Created page with "{{City |is in Country=Algeria |has Coordinates=36.77536, 3.06019 }}"

{{City
|is in Country=Algeria
|has Coordinates=36.77536, 3.06019
}}

NtechLab Facial Recognition in 12 schools of Abidjan

2022-12-02T17:12:36Z

Olga: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=ntechlabCaseStudyAlerts22, ivoirebiometrieIvoireBiometrie2022 |Deployment Status=Ongoing |Deployment Type=Analytics, B..."

{{Deployments
|Information Certainty=Documented
|CiteRef=ntechlabCaseStudyAlerts22, ivoirebiometrieIvoireBiometrie2022
|Deployment Status=Ongoing
|Deployment Type=Analytics, Biometric Cameras
|City=Abidjan
|Country=Côte d'Ivoire
|managed by=Ntech Lab
|used by=Ivoire Biométrie
|Datasets Used=Students of schools (Abidjan)
|Software Deployed=FindFace
|Summary=In 12 schools of Abidjan Russian software company NTechLeb deployed cameras with facial recognition technology to track the presence of pupils in school. The facial images of pupils are used to detect when they enter and leave the school and then the information about pupils is sent to their parents through Telegram or "Mon Enfant" (My Child) app. The technology is being implemented by NTechLab together with a local company Ivoire Biometrie. [[CiteRef::ivoirebiometrieIvoireBiometrie2022]] [[CiteRef::ntechlabCaseStudyAlerts22]]
}}
<blockquote>A system integrator in Côte d’Ivoire, Ivoire Biométrie, has connect 24 cameras in Abidjan schools to FindFace Multi (2 cameras in each of 12 schools).
[[CiteRef::ntechlabCaseStudyAlerts22]]
</blockquote>

The facial recognition system also makes it possible to control the presence of authorized visitors only on the territory of the school establishment. It reacts instantly to the appearance of unwanted individuals both in the schoolyard and in the perimeter. It identifies faces in real-time video feeds, checks them against watchlists, and sends alerts to security.
<blockquote>
Reconnaissance faciale à l’école avec notification aux parents. A l’aide de caméras de surveillance reliées à un système de reconnaissance faciale de pointe, le visage de chaque élève est détecté, identifié et une notification de sa présence est envoyée à ses parents ou tuteurs légaux.
 
Le parent reçoit un message sur son téléphone portable qui le dirige vers l’application MON ENFANT d’IVOIRE BIOMETRIE préalablement téléchargée et installée sur son téléphone portable où il retrouve toutes les informations concernant son enfant (Nom, Prénom, Photo en temps réel, l’heure d’entrée ou de sortie, date, la caméra qui l’a filmé…).
 
Ainsi, les parents pourront surveiller l’assiduité de leurs enfants.
 
< 0,5 seconde pour vérifier l’identité à l’entrée et la sortie et envoyer les notifications aux parents
 

Dans la cour de l’école, le comportement de chaque élève est suivi. La sécurité est alertée instantanément des situations potentiellement dangereuses et de la présence d’individus indésirables.
 
Le système de reconnaissance faciale permet aussi de contrôler la présence des visiteurs autorisés uniquement sur le territoire de l’établissement scolaire. Il réagit instantanément à l’apparition d’individus indésirables à la fois dans la cour de l’école et dans le périmètre. Il identifie les visages dans les flux de vidéo en temps réel, les vérifie par rapport aux listes de surveillance et envoie des alertes à la sécurité. [[CiteRef::ivoirebiometrieIvoireBiometrie2022]]
</blockquote>

Students of schools (Abidjan)

2022-12-02T17:03:38Z

Olga: Created page with "{{Dataset |has full name=Students of schools (Abidjan) |Certainty=Documented |Country=Côte d'Ivore |is dataset category=Civil Database |Developed by=Ntech Lab, Ivoire Biomét..."

{{Dataset
|has full name=Students of schools (Abidjan)
|Certainty=Documented
|Country=Côte d'Ivore
|is dataset category=Civil Database
|Developed by=Ntech Lab, Ivoire Biométrie
|Dataset Category=Facial Images
|Owning institution=Ivoire Biométrie
|has images=Yes
|has individuals=Yes
}}
==Description==

The dataset contains images of pupils from 12 schools in Abidjan, which are used to track pupils' presence in the schools. It also collects information when a pupil leaves or enters the school. [[CiteRef::ivoirebiometrieIvoireBiometrie2022]] [CiteRef::ntechlabCaseStudyAlerts22]]

NtechLab Facial Recognition in a university in Colombo

2022-12-02T16:59:07Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=dailymirrorNIBMInstallsNtechLabdeveloped2022
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Facial recognition
|Has event={{HasEvent|Start|2022-05-27|Documented|dailymirrorNIBMInstallsNtechLabdeveloped2022}}
|City=Colombo
|Country=Sri Lanka
|managed by=National Institute of Business Management
|used by=National Institute of Business Management
|Involved Entities=Green Orgro, Ntech Lab
|Datasets Used=Unknown Dataset 0142
|Software Deployed=Unknown Products 0091
|Summary=The National Institute of Business Management in Colombo, Sri Lanka has installed a facial recognition system for the purpose of checking attendance of students as well as providing them access to the university. The companies which are involved in the development and implementation of this system are NtechLab, a Russian facial recognition software provider and Green Orgro, a local company.
}}
<blockquote> The National Institute of Business Management (NIBM), one of the leading higher educational institutions in Sri Lanka, announced recently that it has deployed facial recognition technology.

The system is developed by NtechLab, Russian facial recognition software provider and is jointly implemented with local technology company Green Orgro.

NIBM is the first educational institution in Sri Lanka to deploy facial recognition technology. The system is used for access control and attendance management. Facial recognition will allow students quick, contactless and convenient access to the university. [[CiteRef::dailymirrorNIBMInstallsNtechLabdeveloped2022]] </blockquote>

Ivoire Biométrie

2022-12-02T16:46:45Z

Olga: Created page with "{{Institution |Institution Full Name=Ivoire Biométrie |City=Abidjan |Address=ABIDJAN, COCODY-Riviera Bonoumin, non loin du rondpoint ADO, le 2ème immeuble à droite dans le..."

{{Institution
|Institution Full Name=Ivoire Biométrie
|City=Abidjan
|Address=ABIDJAN, COCODY-Riviera Bonoumin, non loin du rondpoint ADO, le 2ème immeuble à droite dans le sens de la CNPS, 3ème étage de la résidence GFCI, 01 BP 1761 Abidjan 01
|Institution Type=Company
|Institution Sector=Technology
|URL=https://ivoirebiometrie.com/
}}
==Description==

IVOIRE BIOMETRIE specializes in the field of facial recognition based on artificial intelligence.

Abidjan

2022-12-02T16:33:50Z

Olga: Created page with "{{City |is in Country=Côte d'Ivoire |has Coordinates=5.32036, -4.01611 }}"

{{City
|is in Country=Côte d'Ivoire
|has Coordinates=5.32036, -4.01611
}}

Biometric Cameras in Haiti

2022-12-02T15:45:33Z

Olga:

{{Deployments
|Information Certainty=Documented
|CiteRef=HaitiFLASHRenforce, DirectionImmigrationEmigration
|Deployment Status=Ongoing
|Deployment Type=Criminal investigaitons
|Has event={{HasEvent|Start|2020-10-27|Documented|DirectionImmigrationEmigration|The cameras with biometris recognition were deployed.}}
|City=Port-au-Prince
|Country=Haiti
|managed by=Unknown Institution 0087
|used by=The Directorate of Immigration and Emigration (Haiti)
|Datasets Used=IFRS (Dataset), Unknown Dataset 0148
|Software Deployed=Unknown Products 0093
|Summary=In October 2020 the Directorate of Immigration and Emigration deployed equipment for biometric control of those crossing the country's borders. It is uknown what software and dataset is used by the Directorate, however it is stated that the dataset about the local inhabitants is connected with the INTERPOL dataset to track information about international criminals trying to enter or leave Haiti. The biometric data used includes facial images and fingerprints.
}}
The Directorate of Immigration and Emigration, an organ of the Ministry of the Interior and Territorial Communities (MICT), has just equipped the border posts of the Republic of Haiti of new computer equipment intended to ensure better control of the authenticity of travel documents. These new machines, which were put into service on October 27, 2020, will now be able to take biometric data from passengers, such as facial recognition and fingerprint verification, and transmit them instantly to the central server.

<blockquote>
Port-au-Prince, le 29 octobre 2020.- La Direction de l’Immigration et de l’Emigration, organe du Ministère de l’Intérieur et des Collectivités Territoriales (MICT), vient de doter les postes frontières de la République d’Haïti de nouveaux équipements informatiques destinés à assurer un meilleur contrôle de l’authenticité des documents de voyage. Ces nouvelles machines mises en service le 27 octobre 2020, permettront dorénavant de prendre des données biométriques des passagers, telles la reconnaissance faciale et la vérification des empreintes digitales et de les transmettre instantanément au serveur central. [[CiteRef::DirectionImmigrationEmigration]]
</blockquote>
 
These measures, which meet the requirements of the International Civil Aviation Organization (ICAO), put Haiti at the same level of international security standard as other countries in the region and in the world, according to the details of Minister Audain Fils BERNADEL.
 
It should be noted that, connected to internal databases and those of the International Criminal Police Organization (INTERPOL), this equipment will be used to identify and prohibit access to the country to criminals, terrorists or any other persons actively sought by police authorities around the world.
<blockquote>
Ces dernières dispositions technologiques ont été présentées officiellement à la presse au cours d’une conférence donnée par le titulaire du MICT et les hauts responsables de la DIE, au siège central de la Direction de l’Immigration et de l’Émigration, le mardi 27 octobre. En cette occasion, le Ministre de l’Intérieur et des Collectivités Territoriales, M. Audain Fils BERNADEL, s’est félicité de cette avancée qui contribuera certainement à renforcer la sécurité du territoire à travers les frontières haïtiennes. Ces mesures qui répondent aux exigences de l’Organisation de l’Aviation Civile Internationale (OACI), mettent Haïti au même niveau de standard international de sécurité que les autres pays de la région et du monde, selon les précisions du Ministre Audain Fils BERNADEL.
 
A noter que, connectés aux bases de données internes et celles de l’organisation Internationale de la Police Criminelle (INTERPOL), ces équipements serviront à identifier et interdire l’accès au pays à des criminels, des terroristes ou toutes autres personnes activement recherchées par les instances policières à travers le monde.
[[CiteRef::DirectionImmigrationEmigration]]
</blockquote>

Unknown Dataset 0148

2022-12-02T15:36:44Z

Olga:

{{Dataset
|has full name=Unknown Dataset 0148
|Certainty=Speculative
|Country=Haiti
|Developed by=Unknown Institution 0087
|Dataset Category=Facial Images, Fingerprints
|Owning institution=The Directorate of Immigration and Emigration (Haiti)
|has funding=Yes
|has images=Yes
|runs database software=Unknown Products 0093
}}
==Description==
A dataset created by an unknown institution containing information about inhabitants of Haiti. The Directorate of Immigration and Emigration uses this dataset alongside with INTERPOL dataset.
<blockquote>
A noter que, connectés aux bases de données internes et celles de l’organisation Internationale de la Police Criminelle (INTERPOL), ces équipements serviront à identifier et interdire l’accès au pays à des criminels, des terroristes ou toutes autres personnes activement recherchées par les instances policières à travers le monde. [[CiteRef::DirectionImmigrationEmigration]]
</blockquote>

Unknown Dataset 0148

2022-12-02T15:36:10Z

Olga: Created page with "{{Dataset |has full name=Unknown Dataset 0148 |Certainty=Speculative |Country=Haiti |Developed by=Unknown Institution 0087 |Dataset Category=Facial Images, Fingerprints |Ownin..."

{{Dataset
|has full name=Unknown Dataset 0148
|Certainty=Speculative
|Country=Haiti
|Developed by=Unknown Institution 0087
|Dataset Category=Facial Images, Fingerprints
|Owning institution=The Directorate of Immigration and Emigration (Haiti)
|has funding=Yes
|has images=Yes
|runs database software=Unknown Products 0093
}}
==Description==

A dataset create by an unknown institution containing information about inhabitants of Haiti. The Directorate of Immigration and Emigration uses this dataset alongside with INTERPOL dataset.
<blockquote>
A noter que, connectés aux bases de données internes et celles de l’organisation Internationale de la Police Criminelle (INTERPOL), ces équipements serviront à identifier et interdire l’accès au pays à des criminels, des terroristes ou toutes autres personnes activement recherchées par les instances policières à travers le monde. [[CiteRef::DirectionImmigrationEmigration]]
</blockquote>

Unknown Products 0093

2022-12-02T15:35:51Z

Olga: Created page with "{{Products |Developed by=Unknown Institution 0087 }} Unknown software used by an unknown institution in Haiti to track biometric information about its inhabitants crossing the..."

{{Products
|Developed by=Unknown Institution 0087
}}
Unknown software used by an unknown institution in Haiti to track biometric information about its inhabitants crossing the national border.

Unknown Institution 0087

2022-12-02T15:30:03Z

Olga: Created page with "{{Institution |Institution Full Name=Unknown Institution 0087 }} ==Description== An uknown institution that had created facilities for biometric surveillance used in Haiti."

{{Institution
|Institution Full Name=Unknown Institution 0087
}}
==Description==

An uknown institution that had created facilities for biometric surveillance used in Haiti.