An AI-powered anti-stampede system will be used to manage crowds and prevent catastrophes before the 148th Jagannath Rath Yatra

Regarding the AI Crowd Management System of Ahmedabad Police:

What it consists of:

A crowd monitoring system utilizing AI, along with CCTV and drones, to avert stampedes by assessing real-time crowd information during significant religious events.

How does it function?

Surveillance in real-time: AI-enabled CCTV cameras identify crowd density through pixel-counting and thermal imaging techniques.

Threshold Notifications: The system identifies regions where crowd density surpasses safe levels and notifies law enforcement for prompt intervention.

Predictive Analytics: Foresees possible delays by examining movement patterns and recommends distribution paths.

Merged Deployment: The system operates alongside drone monitoring (GP-DRASTI) for real-time crowd management on busy roadways.

Importance:

Proactive Disaster Prevention: Identifies early indicators of overcrowding to avert stampedes.

Real-Time Decision Assistance: Improves police reaction and public safety.

Data-Informed Planning: Facilitates more intelligent future planning by tracking crowd behavior and danger areas.

Constraints:

Technical Gaps: AI can face challenges with occlusions, lighting conditions, or weather-related problems in large crowds.

Privacy Issues: Ongoing monitoring creates ethical and privacy dilemmas in communal areas.

Operational Dependency: Success is still reliant on prompt human involvement and the availability of field staff.