This Indian startup has launched an AI led ‘Video Wall’ for surveillance in India’s prisons

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This Indian startup has launched an AI led ‘Video Wall’ for surveillance in India’s prisons
An image of how violence detection works on Staqu
  • Staqu launched an AI powered Video wall which will analyse CCTV footage from 70 prisons of UP.
  • The video analytics platform called JARVIS will check for frisking, unauthorised access, crowd analysis, violence, and intrusion detection.
  • The startup has already worked with the police forces of Rajasthan, Punjab, Uttar Pradesh, Uttarakhand and Telangana.
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Indian Artificial Intelligence and facial recognition startup Staqu which has partnered with the police on several occasions - has now brought about a ‘Video Wall’ that will analyse movement in the prisons of Uttar Pradesh.

The AI-powered Video wall will cover and analyse CCTV footage from 70 prisons of UP. The video analytics platform called JARVIS will use data from 700 cameras from UP’s prisons to check for frisking, unauthorised access, crowd analysis, violence, and intrusion detection.

“JARVIS is now no longer limited to the realms of science-fiction; we are making intelligent video analytics a reality for India’s police force, starting with the first phase of integration in Uttar Pradesh. We have installed a super video wall in Lucknow that will be powered with our expertise in artificial intelligence. It will analyse live footage from 70 UP Prisons and provide actionable insights to the police forces,” said Atul Rai, co-founder and CEO of Staqu.

Staqu, which was founded in 2015, had turned profitable earlier this year and has been working with various state police departments of India. The startup landed its first deal with the Rajasthan police force after the Alwar lynching. After a flurry of successes, police officials started recommending Staqu to others in the force.

It has since then gone on to help solve over 1,100 cases for the police forces of Rajasthan, Punjab, Uttar Pradesh, Uttarakhand and Telangana.

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It has raised only one round of funding – $650,000 from Indian Angel Network.
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