AI Surveillance Transforms Safety at Maha Kumbh

The Yogi Adityanath administration has implemented an AI-based surveillance system at the Maha Kumbh to enhance safety. The system uses 2,750 cameras to monitor crowd density and predict dangerous situations, helping to avoid tragedies like the recent stampede. This initiative aims to improve future events' safety outcomes.

The Maha Kumbh festival witnessed a groundbreaking application of Artificial Intelligence (AI) in crowd management, marking a first for the event. Under the directive of the Yogi Adityanath administration, AI-driven surveillance technologies were utilized on an unprecedented scale to avert accidents like the recent stampede that claimed 30 lives.

Leveraging 2,750 cameras, approximately 250 of which are AI-enabled, the operation fed crucial real-time data to the Integrated Control and Command Center (ICCC). These insights allowed Mela authorities to monitor crowd density, vehicular parking status, and provide timely alerts to prevent congestion and potential calamities.

Amit Kumar, an officer in charge of ICCC, emphasized the importance of data analysis post-event to recalibrate safety thresholds. Enhanced standard operating procedures have already proven effective in managing the massive influx of devotees attending the world's largest religious congregation.

(With inputs from agencies.)