Prior to the 148th Jagannath Rath Yatra in Ahmedabad, the city police will use an AI-driven anti-stampede system to control crowds and avert disasters
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.
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