Smart Crowd Detection and Management System

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dc.contributor.authorDIAS CHRIS FRANCO
dc.contributor.authorMEVIN QUADROS
dc.contributor.authorSAHEEL SHAIKH
dc.contributor.authorSAIESHWAR MALKARNEKAR
dc.contributor.authorYASH SATISH BHANDARI
dc.date.accessioned2026-05-27T05:09:03Z
dc.date.available2026-05-27T05:09:03Z
dc.date.issued2026
dc.description.abstractCrowd crushes and stampedes are tragic yet preventable incidents. The tragedy during the RCB celebration at M. Chinnaswamy Stadium highlighted the consequences of inadequate crowd monitoring. Smart Crowd Detection and Management System is designed to address this issue through an AI- powered, real-time surveillance system. The system uses a Raspberry Pi 5 integrated with a camera module to run two AI models: YOLOv11n for crowd counting and density estimation, and YOLOv8 Pose for fall detection. When abnormal conditions such as overcrowding or falls are detected, the system instantly alerts security personnel through a Flutter-based mobile application. Alerts include geolocation data via Google Maps and automated voice calls using Twilio. The solution is real-time, cost-effective, scalable, and suitable for deployment in public venues such as stadiums, railway stations, malls, and festivals.
dc.identifier.urihttp://rcca.ndl.gov.in/handle/123456789/626
dc.language.isoen
dc.publisherASST. PROF. ANKITA FALLDESSAI
dc.titleSmart Crowd Detection and Management System
dc.typeOther
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Bachelor of Computer applications