Consider these scenarios: the Indian soldiers are using AI-enabled devices for amplifying their night vision; the Uttar Pradesh Police is combating the rising crime rates through an AI-based mobile app; a facial recognition system has been developed for real-time safety monitoring of school kids. This is the changing face of safety surveillance and monitoring in India – powered by artificial intelligence.

At India’s frontiers, the Army jawans patrol difficult terrains in high altitudes to keep a close watch on enemy movements. These surveillance tasks are physically and psychologically challenging for soldiers using legacy monitoring systems, especially during dark winter nights. Innovative adaptation, however, has converted these legacy surveillance camera inputs into smart inputs using AI.

To increase the battlefield transparency, the Army Design Bureau has come up with an AI-powered personalised night vision device. The solution is a combination of a helmet-mounted camera and a wristband-like device which vibrates to give alerts about suspicious activities at the national borders. This has helped to increase the efficiency of soldiers with a restricted line of sight, while reducing fatigue and stress. The Indian Army has beefed up national security by modernising its equipment using AI-infused tools.

In addition to shielding the country from external threats at the borders, AI is also helping to tackle the internal security challenges posed by unruly elements of the society. AI-based solutions are being used by the law enforcement agencies for tracing criminals and bringing them to justice in various parts of India.

The FICCI Smart Policing Award 2019 was awarded to the Uttar Pradesh (UP) Police Department for its modernised efforts to nab criminals. In 2018, the then Director-General of UP Police launched an AI-powered mobile application named ‘Trinetra’ that contains digitised records of criminal databases. Trinetra has a record of five lakh criminals, including a picture, address and crime history. This information has been collected through the inputs from district police, prison department and Government Railway Police. Trinetra not only identifies a criminal but also find their associates active in different parts of the state using AI-based Gang Identification Technology.

Trinetra is powered by Staqu’s facial recognition, visual search, machine learning, and deep learning solutions and works well even with low-resolution images and videos. This information can be accessed by any officer using the application in real-time. The use of this application helps police personnel easily register or search for criminals via simple leads, such as images, facial scans, fingerprints, previous FIRs, voice samples etc.

In another instance of predictive policing, the Government of Maharashtra has earmarked ₹800 crore to secure the cyberspace in the state. To predict, prevent and detect cybercrimes in real time, an AI-enabled software will use open source information on the internet, such as from social media, to nip in the bud any potential unrest caused by rumours and other objectionable online behaviour.

Further, the application of AI to enhance children’s safety and detect mishandling in schools and preschools has been made possible by CamfyVision's facial analytics solutions. The company’s AI-driven product FacEAI-PRO sends alerts if a kid is found missing from the classroom for more than 15 minutes. Parents as well as the school safety staff receive ‘entry and exit’ notifications when the child boards or de-boards the school vehicle. Moreover, if a kid is found missing for over 30 minutes in the school premises, alarm is raised to ensure an action is taken by the school authorities.

Read also:

• Interview with Vedpal Singh, Founder CEO of CamfyVision Innovations
• Interview with Atul Rai, CEO and Cofounder, Staqu

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