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Bangalore Traffic Police Use AI to Prevent and Detect Traffic Violation

In an attempt to automate traffic violation challans and fine payments, Bangalore traffic police use AI to prevent and detect traffic violations in the city. The Bangalore traffic police (BTP) department has installed over 8 red light cameras and 250 AI-integrated ANPR (automatic number-plate recognition) cameras at several junctions. 

The camera-driven management system is a part of BTP’s plans to integrate technology into the police enforcement system under the plan Intelligent Traffic Management System (ITMS). The plan was initiated by CM Basavaraj Bommai to reduce human intervention in traffic management.

CM Basavaraj also announced a few more traffic police station sanctions in the coming week to expand jurisdiction and cover as many areas with AI-based monitoring stations as possible.

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The cameras detect visible traffic violations and categorize them into 7 categories: speed violations, stop lane violations, red light violations, helmet, triple riding, no seat belts, and driving while using mobiles.

As police officers, the cameras are as accurate as 90%, and with sufficient data, the accuracy can be enhanced by up to 99%. 

MA Saleem, Special Commissioner of Police (Traffic), said, “These cameras record violations round the clock, and the system is automated, which saves a lot of manpower that can be used for traffic management and regulation.”

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Disha Chopra
Disha Chopra
Disha Chopra is a content enthusiast! She is an Economics graduate pursuing her PG in the same field along with Data Sciences. Disha enjoys the ever-demanding world of content and the flexibility that comes with it. She can be found listening to music or simply asleep when not working!


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