Case Studycomputer visioncrowd managementfacial recognitionsurveillance
Bengaluru Police Uses AI For Crowd Control
8.0
Bengaluru police used data and AI tools to manage New Year's Eve crowds on Dec. 31 after a month of planning beginning in early December. They integrated AI-based heatmap analysis with the city's CCTV network and combined tactics — including 'magic boxes', facial-recognition cameras, 15 hotel checks, and over 30 coordinated measures — to reduce lingering crowds and prevent confrontations.
Key Points
- 1Deploys AI heatmaps and CCTV integration to monitor crowd density, updating every five minutes
- 2Integrates tech with physical tactics like 'magic boxes' and targeted interventions to pre-empt flashpoints
- 3Enables practitioners to proactively redirect crowds, protect vulnerable groups, and reduce street confrontations
Scoring Rationale
Practical, city-scale AI deployment with official backing; limited novelty since it applies established surveillance analytics and crowd-control tactics.
Sources
Public references used for this report.
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