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Bengaluru police use AI-driven strategies to forestall crime

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Bengaluru police use AI-driven strategies to forestall crime

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Bengaluru: The Bengaluru metropolis police have launched two superior strategies — Preventive and Predictive Policing — each powered by Artificial Intelligence (AI).

The innovation goals to boost crime prevention by well timed alerts and warnings.

Implemented as a part of the Bengaluru Safe City Project, the town will probably be below the watchful eye of seven,500 strategically positioned cameras offering real-time visuals.

This 24/7 surveillance will probably be managed by a software program, Command Control Communications and Computer 4 intelligence (C4i), linked to a central Command Control Centre, all outfitted with AI, an official mentioned.

In Preventive Policing, the police database is built-in into the software program. When a historical past sheeter displays suspicious behaviour or is seen at an uncommon hour, the cameras, utilising facial recognition, ship indicators to the server within the command centre.

The system analyses the exercise, flags any suspicious behaviour, and notifies patrolling police, who’re dispatched to the situation promptly.

Moreover, C4i maps varied crimes primarily based on knowledge reminiscent of geographical location, timing, and nature of incidents. The software program identifies susceptible areas, prompting the division to accentuate policing in these places.

The Predictive Policing side makes use of algorithms to anticipate potential crimes primarily based on the information it analyses.

This permits the deployment of Hoysalas to particular places the place a criminal offense is prone to happen.

Unlike Preventive Policing, this technique depends on knowledge acquired by the helpline quantity calls, guaranteeing a proactive method to legislation enforcement.

The system’s algorithms additionally incorporate traffic-related knowledge, together with driving with out helmets, congested spots, and hotspots of site visitors violations.

(Published 25 November 2023, 00:39 IST)

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