Security Vision - User contributions [en]

Megvii (Vehicle Recognition Algorithm)

2023-01-24T09:34:03Z

Clemens: Blanked the page

Public security video surveillance construction networking application project (snow bright project) construction in Dongchangfu District, Liaocheng, Shandong

2023-01-24T09:33:39Z

Clemens: Clemens moved page Public security video surveillance construction networking application project (snow bright project) construction in Dongchangfu District, Liaocheng, Shandong to Public security video surveillance construction networking application project (sharp eyes project) construction in Dongchangfu District, Liaocheng, Shandong

#REDIRECT [[Public security video surveillance construction networking application project (sharp eyes project) construction in Dongchangfu District, Liaocheng, Shandong]]

Public security video surveillance construction networking application project (sharp eyes project) construction in Dongchangfu District, Liaocheng, Shandong

2023-01-24T09:33:39Z

{{Deployments
|Information Certainty=Documented
|CiteRef=noauthor__2022-26
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Criminal investigations, Crowd management, Surveillance, Facial recognition, Automated Facial Recognition System
|Has event={{HasEvent|Start|2022-01-11|Documented|noauthor__2022-26}}
|City=Dongchangfu District
|Country=China
|managed by=Political and Legal Committee of Liaocheng Dongchangfu District Committee of the Communist Party of China
|Software Deployed=Hikvision (Facial Recognition), Hikvision (Video analytics)
|Summary=From government public bidding documents. The original project consisted of three contract packages. This project is the second tender for the third contract package, the content of the title "urban equipment." A total of 100 cameras are included, 53 of which are for managing religious sites of the Bureau of Nationalities and Religions.
}}
{{Subobject Uncertain Information
|Propertyname=Managed by
|value=Liaocheng Public Security Bureau Dongchangfu Branch
|Certainty=Speculative
}}
{{Subobject Uncertain Information
|Propertyname=Used by
|value=Liaocheng Public Security Bureau Dongchangfu Branch
|Certainty=Speculative
}}

Traffic safety prevention and control system construction wisdom upgrade project in Shuangyashan, Heilongjiang

2023-01-24T09:32:44Z

Clemens: Blanked the page

Video surveillance in Pas de la Casa

2022-12-09T15:22:41Z

Clemens: Blanked the page

Example Deployment in China

2022-12-06T09:15:29Z

Clemens: Blanked the page

Facial Recognition by Clearview AI in Qatar

2022-12-05T13:42:22Z

Clemens: Blanked the page

Qatar

2022-12-05T13:40:34Z

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

Doha

2022-12-05T13:39:41Z

Clemens: Created page with "{{City |is in Country=Qatar |has Coordinates=25.28563, 51.52642 }}"

{{City
|is in Country=Qatar
|has Coordinates=25.28563, 51.52642
}}

Facial Recognition by Clearview AI in Qatar

2022-12-05T13:37:40Z

Clemens: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=gohAnyoneWhoAttends2022 |Deployment Status=Ongoing |Deployment Type=Biometric Cameras, Facial Recognition (Non-descrip..."

{{Deployments
|Information Certainty=Documented
|CiteRef=gohAnyoneWhoAttends2022
|Deployment Status=Ongoing
|Deployment Type=Biometric Cameras, Facial Recognition (Non-descript)
|Has event={{HasEvent|Start|2020-01-29|Documented|gohAnyoneWhoAttends2022}}
|City=Doha
|Country=Qatar
|managed by=Doha Municipality
|used by=Doha Police
|Datasets Used=Unknown_Dataset_0157
|Software Deployed=Clearview (Software)
|Summary=The Doha Municipality installed 15000 cameras with facial recognition technology.
}}
Since 2010 Qatar uses Facial Recognition Cameras.

<blockquote> Since 2010, when Qatar won the rights to host the FIFA World Cup, the country has spent more than $300 billion building new infrastructure, including seven new stadiums, to accommodate the influx of people, per Bloomberg estimates.

The surveillance network will be run by the Aspire Command and Control center, the technical hub that oversees operations for the eight stadiums where the matches will be held, Abdulrahiman told AFP.

Rows of security technicians are seated behind monitors in a room that looks like a NASA mission control center, photos show [[CiteRef::gohAnyoneWhoAttends2022]] </blockquote>

Example Deployment in China

2022-12-05T12:34:20Z

Clemens:

{{Deployments
|Information Certainty=Documented
|CiteRef=baierBestPracticesSecurity, ngHowChinaUses2020
|Deployment Status=Ongoing
|Deployment Type=Testing, Biometric Cameras, Video Analysis
|Has event={{HasEvent|Start|2020-01-29|Documented}}
|City=Bejing
|Country=China
|managed by=Municipality of Bejing
|used by=Bejing Police
|Datasets Used=Unknown_Dataset_0156
|Software Deployed=Clearview AI (Software)
|Summary=This is an example deployment in China. Only used for training purposes.
}}
{{Subobject Uncertain Information
|Propertyname=City
|value=Bejing or Hong Kong
|Certainty=Rumoured
}}
This is an example how to write free text.

<blockquote> China's facial recognition system logs nearly every single citizen in the country, with a vast network of cameras across the country. A database leak in 2019 gave a glimpse of how pervasive China's surveillance tools are -- with more than 6.8 million records from a single day, taken from cameras positioned around hotels, parks, tourism spots and mosques, logging details on people as young as 9 days old. [[CiteRef::ngHowChinaUses2020]] </blockquote>

Example Deployment in China

2022-12-05T12:32:38Z

Clemens:

{{Deployments
|Information Certainty=Documented
|CiteRef=baierBestPracticesSecurity, ngHowChinaUses2020
|Deployment Status=Ongoing
|Deployment Type=Testing, Biometric Cameras, Video Analysis
|Has event={{HasEvent|Start|2020-01-29|Documented}}
|City=Bejing
|Country=China
|managed by=Municipality of Bejing
|used by=Bejing Police
|Datasets Used=Unknown_Dataset_0156
|Software Deployed=Clearview AI (Software)
|Summary=This is an example deployment in China. Only used for training purposes.
}}
This is an example how to write free text.

<blockquote> China's facial recognition system logs nearly every single citizen in the country, with a vast network of cameras across the country. A database leak in 2019 gave a glimpse of how pervasive China's surveillance tools are -- with more than 6.8 million records from a single day, taken from cameras positioned around hotels, parks, tourism spots and mosques, logging details on people as young as 9 days old. [[CiteRef::ngHowChinaUses2020]] </blockquote>

Example Deployment in China

2022-12-05T12:30:22Z

Clemens: Created page with "{{Deployments |Information Certainty=Documented |CiteRef=baierBestPracticesSecurity, ngHowChinaUses2020 |Deployment Status=Ongoing |Deployment Type=Testing, Biometric Cameras,..."

{{Deployments
|Information Certainty=Documented
|CiteRef=baierBestPracticesSecurity, ngHowChinaUses2020
|Deployment Status=Ongoing
|Deployment Type=Testing, Biometric Cameras, Video Analysis
|Has event={{HasEvent|Start|2020-01-29|Documented}}
|City=Bejing
|Country=China
|managed by=Municipality of Bejing
|used by=Bejing Police
|Datasets Used=Unknown_Dataset_0156
|Software Deployed=Clearview AI (Software)
|Summary=This is an example deployment in China. Only used for training purposes.
}}
<blockquote> China's facial recognition system logs nearly every single citizen in the country, with a vast network of cameras across the country. A database leak in 2019 gave a glimpse of how pervasive China's surveillance tools are -- with more than 6.8 million records from a single day, taken from cameras positioned around hotels, parks, tourism spots and mosques, logging details on people as young as 9 days old. [[CiteRef::ngHowChinaUses2020]] </blockquote>

Crowd Management by Fraunhofer Institute Karlsruhe

2022-11-23T09:22:21Z

Clemens: Created page with "{{Products |Developed by=Fraunhofer Institute Karlsruhe |Technology Type=Crowd Management, Video Analysis }}"

{{Products
|Developed by=Fraunhofer Institute Karlsruhe
|Technology Type=Crowd Management, Video Analysis
}}

ClearviewAI in Buenos Aires

2022-11-22T15:03:00Z

Clemens: Blanked the page

Antigua and Barbuda Police deploy automatic fingerprint identification system

2022-11-22T09:35:34Z

Clemens: Changed the order of citation and blockquote

{{Deployments
|Information Certainty=Documented
|CiteRef=machanAntiguaStKitts2012, millsSKNVibesUSGives2013
|Deployment Status=Ongoing
|Deployment Type=Criminal investigations
|Has event={{HasEvent|Start|2012-09-30|Documented|machanAntiguaStKitts2012}}{{HasEvent|||Documented}}
|City=Saint John's (AG)
|Country=Antigua and Barbuda
|managed by=National Security Council of Antigua and Barbuda
|used by=The Royal Police Force of Antigua and Barbuda
|Involved Entities=Caribbean Basin Security Initiative, The Royal St Christopher and Nevis Police Force
|Datasets Used=Unknown Dataset 0123
|Software Deployed=Unknown Products 0078
|Summary=Police in Antigua and Barbuda use an automated fingerprint identification system.
}}
In 2012, Antigua and Barbuda were provided with an Automatic Fingerprint Identification System (AFIS) to identify criminal activity. It is also a system that was deployed with interoperability with a similar system in St Kitts' and Nevis in mind, and regional cooperation with other Caribbean islands in crime prevention as a goal. [[CiteRef::millsSKNVibesUSGives2013]]

<blockquote> “Towards the end of September both Antigua & Barbuda and St. Kitts and Nevis will benefit from an upgraded, modernised AFIS system,” Cort disclosed in an interview with the Antigua Observer. “This system will be introduced both into Antigua & Barbuda and St. Kitts as a prototype and we will be able to link both the systems”. The Automated Fingerprint Identification System functions by matching the fingerprints acquired at a crime scene with those stored in the system’s database. Antigua’s Minister of National Security added that the fund was provided by the U.S. Clinical Documentation Improvement (CDI) programme [[CiteRef::machanAntiguaStKitts2012]]</blockquote>

Liechtenstein

2022-11-15T12:38:56Z

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

Iran

2022-11-15T12:38:25Z

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

Albania

2022-11-15T12:37:54Z

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

Argentina

2022-11-14T09:54:18Z

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

Buenos Aires

2022-11-14T09:53:29Z

Clemens: Created page with "{{City |is in Country=Argentina |has Coordinates=-34.60757, -58.43709 }}"

{{City
|is in Country=Argentina
|has Coordinates=-34.60757, -58.43709
}}

ClearviewAI in Buenos Aires

2022-11-14T09:52:46Z

Clemens:

{{Deployments
|Information Certainty=Documented
|CiteRef=civicusArgentinaBuenosAires2022
|Deployment Status=Stopped
|Deployment Type=Biometric Cameras, Facial Recognition (Non-descript)
|Has event={{HasEvent|Start|2022-01-09|Documented|civicusArgentinaBuenosAires2022}}{{HasEvent|End|2022-10-01|Documented|civicusArgentinaBuenosAires2022}}
|City=Buenos Aires
|Country=Argentina
|managed by=Clearview AI
|used by=Unknown Institution 0084
|Datasets Used=Clearview AI (Dataset)
|Software Deployed=Clearview AI (Software)
}}
Deployment of Clearview AI in Argentina. Uses 500 facial recognition cameras.

<blockquote> As previously reported on the CIVICUS Monitor, in December 2021 and early months of 2022 protesters took to the streets in Argentina against negotiations between the government and the International Monetary Fund (IMF) to restructure the country’s debt. A new agreement was announced in January 2022, and demonstrations continued as the details of the deal were finalised.

On 8th February 2022, thousands marched through the streets of Buenos Aires carrying banners saying “no to paying the IMF” and “no to an IMF deal.” On 10th March 2022, protesters decrying the agreement clashed with the Buenos Aires police near the parliament building, where the deal was under discussion by legislators. The incident involved a group of mostly hooded protesters throwing stones at the Congress building and police guarding the area. Police forces responded with rubber bullets, and officers on motorbikes dispersed the protest. At least one protester was detained and three police officers were injured. [[CiteRef::civicusArgentinaBuenosAires2022]] </blockquote>

ClearviewAI in Buenos Aires

2022-11-14T09:49:44Z

Clemens: This is a deployment of Clearview AI in Buenos Aires.

{{Deployments
|Information Certainty=Documented
|CiteRef=civicusArgentinaBuenosAires2022
|Deployment Status=Stopped
|Deployment Type=Biometric Cameras, Facial Recognition (Non-descript)
|Has event={{HasEvent|Start|2022-01-09|Documented|civicusArgentinaBuenosAires2022}}{{HasEvent|End|2022-10-01|Documented|civicusArgentinaBuenosAires2022}}
|City=Buenos Aires
|Country=Argentina
|managed by=Clearview AI
|used by=Unknown Institution 0084
|Datasets Used=Clearview AI (Dataset)
|Software Deployed=Clearview AI (Software)
}}
<blockquote> As previously reported on the CIVICUS Monitor, in December 2021 and early months of 2022 protesters took to the streets in Argentina against negotiations between the government and the International Monetary Fund (IMF) to restructure the country’s debt. A new agreement was announced in January 2022, and demonstrations continued as the details of the deal were finalised.

On 8th February 2022, thousands marched through the streets of Buenos Aires carrying banners saying “no to paying the IMF” and “no to an IMF deal.” On 10th March 2022, protesters decrying the agreement clashed with the Buenos Aires police near the parliament building, where the deal was under discussion by legislators. The incident involved a group of mostly hooded protesters throwing stones at the Congress building and police guarding the area. Police forces responded with rubber bullets, and officers on motorbikes dispersed the protest. At least one protester was detained and three police officers were injured. [[CiteRef::civicusArgentinaBuenosAires2022]] </blockquote>

Chennai Police

2022-09-23T14:32:14Z

Clemens:

{{Institution
|Institution Full Name=Greater Chennai Police
|Creation Date=1659-01-01
|City=Chennai
|Address=COMMISSIONER OFFICE BUILDING, EVK SAMPATH ROAD, VEPERY, CHENNAI-600007
|Is Department Of=Government of Tamil Nadu
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=https://eservices.tnpolice.gov.in/CCTNSNICSDC/Index?0
}}
==Description==

Chennai Metropolitan Development Authority (CMDA)

2022-09-23T14:29:38Z

Clemens:

{{Institution
|Institution Full Name=Chennai Metropolitan Development Authority
|Creation Date=1974-01-01
|City=Chennai
|Address=Thalamuthu Natarajan House, 01, Gandhi Irwin Rd, Ansari Estate, Egmore, Chennai, Tamil Nadu 600008, India
|Is Department Of=Government of Tamil Nadu
|Institution Type=Local Government
|Institution Sector=Government, Civil Administration
|URL=http://www.cmdachennai.gov.in/
}}
==Description==

Government of Tamil Nadu

2022-09-23T14:27:44Z

Clemens: Created page with "{{Institution |Institution Full Name=Government of Tamil Nadu |City=Chennai |Address=Fort St George, Chennai, Tamil Nadu, Pakistan |Institution Type=Regional Government |Insti..."

{{Institution
|Institution Full Name=Government of Tamil Nadu
|City=Chennai
|Address=Fort St George, Chennai, Tamil Nadu, Pakistan
|Institution Type=Regional Government
|Institution Sector=Government
|URL=https://www.tn.gov.in/
}}
==Description==

Tamil Nadu e-Governance Agency (TNeGA)

2022-09-23T14:25:47Z

Clemens:

{{Institution
|Institution Full Name=Tamil Nadu e-Governance Agency (TNeGA)
|Creation Date=2019-06-18
|City=Chennai
|Address=PT Lee Building, 2nd & 7th Floor, Anna Salai, Triplicane, Chennai, Tamil Nadu 600002, India
|Is Department Of=Government of Tamil Nadu
|Institution Type=Local Government
|Institution Sector=Government
|URL=https://tnega.tn.gov.in/
}}
==Description==

Islamabad Police

2022-09-23T14:23:14Z

Clemens:

{{Institution
|Institution Full Name=Islamabad Police
|Creation Date=1981-01-01
|City=Islamabad
|Address=M236+4FM, AK Brohi Rd, H-11/1 H 11/1 H-11, Islamabad, Islamabad Capital Territory, Pakistan
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=https://islamabadpolice.gov.pk/
}}
==Description==

Gilgit

2022-09-23T14:21:36Z

Clemens: Created page with "{{City |is in Country=Pakistan |has Coordinates=35.92081, 74.31404 }}"

{{City
|is in Country=Pakistan
|has Coordinates=35.92081, 74.31404
}}

Government of Gilgit-Baltistan

2022-09-23T14:21:01Z

Clemens: Created page with "{{Institution |Institution Full Name=Government of Gilgit-Baltistan |Creation Date=1948-11-01 |City=Gilgit |Institution Type=Regional Government |Institution Sector=Government..."

{{Institution
|Institution Full Name=Government of Gilgit-Baltistan
|Creation Date=1948-11-01
|City=Gilgit
|Institution Type=Regional Government
|Institution Sector=Government
|URL=gilgitbaltistan.gov.pk
}}
==Description==

Gilgit-Baltistan Police

2022-09-23T14:17:41Z

Clemens:

{{Institution
|Institution Full Name=Gilgit-Baltistan Police
|Creation Date=1972-01-01
|City=Gilgit-Baltistan
|Address=C.P.O (Central Police Office) Konodass Near Jinnah Bridge Road Gilgit, Gilgit-Baltistan.
|Is Department Of=Government of Gilgit-Baltistan
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=https://gbp.gov.pk/
}}
==Description==

Gilgit-Baltistan Police

2022-09-23T14:17:02Z

Clemens:

{{Institution
|Institution Full Name=Gilgit-Baltistan Police
|Creation Date=1972-01-01
|City=Gilgit-Baltistan
|Address=C.P.O (Central Police Office) Konodass Near Jinnah Bridge Road Gilgit, Gilgit-Baltistan.
|Is Department Of=Government of Gilgit-Baltistan
|Institution Type=Regional Government
|Institution Sector=Security, Government
|URL=https://gbp.gov.pk/
}}
==Description==

Jammu

2022-09-23T14:12:47Z

Clemens: Created page with "{{City |is in Country=India |has Coordinates=32.71856, 74.85809 }}"

{{City
|is in Country=India
|has Coordinates=32.71856, 74.85809
}}

Government of Jammu and Kashmir

2022-09-23T14:12:21Z

Clemens: Created page with "{{Institution |Institution Full Name=Government of Jammu and Kashmir |Creation Date=1947-01-01 |City=Jammu |Address=R. No.2/16, 2nd, Floor Main Building, Civil Secretariat, Ja..."

{{Institution
|Institution Full Name=Government of Jammu and Kashmir
|Creation Date=1947-01-01
|City=Jammu
|Address=R. No.2/16, 2nd, Floor Main Building, Civil Secretariat, Jammu
|Branches=Srinagar
|Institution Type=Regional Government
|Institution Sector=Government
|URL=www.jk.gov.in
}}
==Description==

Kashmir Police

2022-09-23T14:09:18Z

Clemens:

{{Institution
|Institution Full Name=Jammu and Kashmir Police
|Creation Date=1873-01-01
|City=Srinagar
|Address=Police Headquarter Airport Road, Peer Bagh Srinagar, Jammu and Kashmir-190014
|Is Department Of=Government of Jammu and Kashmir
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=http://www.jkpolice.gov.in/
}}
==Description==

Home Department (Uttar Pradesh)

2022-09-23T14:06:23Z

Clemens: Created page with "{{Institution |Institution Full Name=Department of Home and Confidentia |City=Lucknow |Address=Department of Home, Lal Bahadur Shastri Bhawan (Annexe Building), Sarojini Naidu..."

{{Institution
|Institution Full Name=Department of Home and Confidentia
|City=Lucknow
|Address=Department of Home, Lal Bahadur Shastri Bhawan (Annexe Building), Sarojini Naidu Marg, Lucknow, Uttar Pradesh
|Institution Type=Regional Government
|Institution Sector=Government
|URL=https://uphome.gov.in/index.htm
}}
==Description==

Uttar Pradesh Police

2022-09-23T14:05:07Z

Clemens:

{{Institution
|Institution Full Name=Uttar Pradesh Police
|Creation Date=1863-01-01
|City=Lucknow
|Address=Signature Building, Sector-7, Gomti Nagar Extension, Lucknow, Uttar Pradesh[2]
|Is Department Of=Home Department (Uttar Pradesh)
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=uppolice.gov.in
}}
==Description==

Uttar Pradesh Police

2022-09-23T14:03:59Z

Clemens:

{{Institution
|Institution Full Name=Uttar Pradesh Police
|Creation Date=1863-01-01
|City=Lucknow
|Address=Signature Building, Sector-7, Gomti Nagar Extension, Lucknow, Uttar Pradesh[2]
|Is Department Of=Home Department (India)
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=uppolice.gov.in
}}
==Description==

Uttar Pradesh Police

2022-09-23T14:03:06Z

Clemens: Created page with "{{Institution |Institution Full Name=Uttar Pradesh Police |Creation Date=1863-01-01 |City=Lucknow |Address=Signature Building, Sector-7, Gomti Nagar Extension, Lucknow, Uttar..."

{{Institution
|Institution Full Name=Uttar Pradesh Police
|Creation Date=1863-01-01
|City=Lucknow
|Address=Signature Building, Sector-7, Gomti Nagar Extension, Lucknow, Uttar Pradesh[2]
|Is Department Of=Home Department
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=uppolice.gov.in
}}
==Description==

Lucknow Police

2022-09-23T14:01:13Z

Clemens:

{{Institution
|Institution Full Name=Lucknow Police
|Creation Date=2020-01-14
|City=Lucknow
|Address=Office of Commissioner of Police, C-226, J Rd, Vigyanpuri, Shadab Colony, Mahanagar, Lucknow
|Is Department Of=Uttar Pradesh Police
|Institution Type=Law Enforcement
|Institution Sector=Security
|URL=https://lucknow.nic.in/police-department/
}}
==Description==

Government of India

2022-09-23T13:58:21Z

Clemens:

{{Institution
|Institution Full Name=Government of India
|Creation Date=1950-01-26
|City=New Delhi
|Address=Ministry of Power. Shram Shakti Bhawan. Rafi Marg, New Delhi - 110001
|Institution Type=Government
|Institution Sector=Government
|URL=https://www.india.gov.in/
}}
==Description==

MongoDB Inc.

2022-09-23T13:55:49Z

Clemens: Created page with "{{Institution |Institution Full Name=MongoDB Inc. |Creation Date=2007-01-01 |City=New York City (NY) |Address=1633 Broadway, 38th Floor New York, NY 10019, USA |Institution Ty..."

{{Institution
|Institution Full Name=MongoDB Inc.
|Creation Date=2007-01-01
|City=New York City (NY)
|Address=1633 Broadway, 38th Floor New York, NY 10019, USA
|Institution Type=Company
|Institution Sector=Technology
|URL=www.mongodb.com
}}
==Description==

MongoDB

2022-09-23T13:54:00Z

Clemens:

{{Products
|Developed by=MongoDB Inc.
|Creation Date=2009-02-11
|Technology Type=Database software
}}

MongoDB

2022-09-23T13:53:43Z

Clemens: Created page with "{{Products |Developed by=MongoDB Inc. |Creation Date=2009-02-11 |Technology Type=Database software |Related Technologies=Aadhaar }}"

{{Products
|Developed by=MongoDB Inc.
|Creation Date=2009-02-11
|Technology Type=Database software
|Related Technologies=Aadhaar
}}

Ranchi

2022-09-23T13:51:50Z

Clemens: Created page with "{{City |is in Country=India |has Coordinates=23.37005, 85.32504 }}"

{{City
|is in Country=India
|has Coordinates=23.37005, 85.32504
}}

Guwahati

2022-09-23T13:51:24Z

Clemens: Created page with "{{City |is in Country=India |has Coordinates=26.1806, 91.75394 }}"

{{City
|is in Country=India
|has Coordinates=26.1806, 91.75394
}}

Unique Identification Authority of India

2022-09-23T13:50:48Z

Clemens: Created page with "{{Institution |Institution Full Name=Unique Identification Authority of India (UIAI) |Creation Date=2009-01-28 |City=New Delhi |Address=Ground Floor, Supreme Court Metro Stati..."

{{Institution
|Institution Full Name=Unique Identification Authority of India (UIAI)
|Creation Date=2009-01-28
|City=New Delhi
|Address=Ground Floor, Supreme Court Metro Station, Pragati Maidan, New Delhi-110001
|Branches=Bengaluru, Chandigarh, Guwahati, Hyderabad, Lucknow, Mumbai, Ranchi
|Is Department Of=Government of India
|Institution Type=Government
|Institution Sector=Government
|URL=https://uidai.gov.in/
}}
==Description==

Aadhaar Database

2022-09-23T13:35:09Z

Clemens:

{{Dataset
|has full name=Aadhaar Database
|Certainty=Documented
|Country=India
|is dataset category=Civil Database, Law Enforcement
|Developed by=Unique Identification Authority of India
|Dataset Category=Controlled, Facial Images, Fingerprints
|Owning institution=Government of India
|Custodian institution=Unique Identification Authority of India
|has images=500000000
|has individuals=1300000000
|runs database software=MongoDB
}}
==Description==
<blockquote> The database project, which is now enrolling over one million Indians residents a day, is scheduled to sign up about 1.2 billion people by the end of next year, making it the biggest biometrics database on earth. [[CiteRef::mishraIndiaAadharWorld2013]] </blockquote>

Innefu Labs Pvt. Ltd

2022-09-23T13:24:29Z

Clemens:

{{Institution
|Institution Full Name=Innefu Labs
|Creation Date=2011-01-01
|City=New Delhi
|Address=Aggarwal Cyber Plaza 2, 783, Netaji Subhash Place, Pitam Pura, Delhi, 110034, India
|Institution Type=Company
|Institution Sector=Security, Technology
|URL=https://www.innefu.com/about-us/
}}
==Description==
<blockquote> Innefu is an Information Security R&D startup, providing cutting edge Information Security & Data Analytics solutions. We count among our clients the biggest corporate entity in the country apart from some of the most sensitive and critical organizations in Government of India. With more than 100+ customers using our Information Security and Data Analytics solutions, the company has become a leading player in the space of Artificial Intelligence for Data Analytics and Unified Authentication Solution.

Our Biometric and Facial Authentication solutions are being used in multiple organizations in India and Middle East while our Data Analytics solution and Machine Learning solutions are in use in multiple Law Enforcement Agencies in South East Asia. Furthermore, these solutions were used in tracking a ring of international cyber criminals spread across three countries. Our Board of Investors includes Academicians, Ex-Paramilitary officers and Cyber security experts with more than 10 years of experience behind them. [[CiteRef::innefulabsInnefuLabsUs2022]]</blockquote>

Delhi Police

2022-09-22T17:51:28Z

Clemens:

{{Institution
|Institution Full Name=Delhi Police
|City=New Delhi
|Address=DELHI POLICE HEADQUARTERS,
JAI SINGH ROAD, NEW DELHI
Pincode: 110001
|Institution Type=Law Enforcement
|Institution Sector=Government
|URL=https://delhipolice.gov.in/
}}
==Description==
The law enforcement agency responsible for the National Capital Territory of Delhi