Ai Crowd Monitoring System for Jyotiba Mandir Kolhapur
Narrow hilltop paths and seasonal crowd surges made manual monitoring too slow to prevent overcrowding. The same AI crowd-density and facial-recognition platform now delivers real-time alerts suited to the terrain.
Problem Statement
Jyotiba Mandir sees heavy devotee crowds during Yatra season and weekend darshan, with its hilltop terrain and narrow paths increasing overcrowding and stampede risks. Existing CCTV offers only reactive, manual monitoring delaying detection of suspicious activity, missing persons, or criminal identification, and giving no real-time visibility into crowd density at key zones (main gate, sabha mandap, parikrama path, parking).
Core Gap: Need for a centralized, real-time AI platform enabling crowd density monitoring, facial recognition-based security screening, and rapid emergency response suited to the hilltop layout and seasonal footfall surges to ensure devotee safety and smooth crowd management.
Solution
Implemented in and around Jyotiba Mandir to ensure devotee safety across the hilltop premises and smooth traffic flow along approach roads and parking zones, using AI-powered heatmaps, facial recognition, vehicle counting, and number plate recognition for real-time monitoring and proactive alerts during Yatra season and peak darshan periods.
By strengthening coordination across police, traffic, disaster management, and temple trust authorities, it stands as a replicable Smart Pilgrimage Safety model extending the success of the Mahalaxmi Mandir system to hilltop and high-footfall seasonal pilgrimage sites across Maharashtra.
Functionalities
Facial Recognition (FR)
Heat Maps
Tech Stack
Layer
Technology Stack
Computer Vision
Python, YOLOv11, PyTorch, OpenCV, CUDA, NVIDIA GPU
Dashboard
React.js, Node.js,FastAPI, WebSockets, Mapbox/Leaflet, Chart.js
Reporting
Python, Pandas, SQL, ReportLab, Excel (OpenPyXL), Power BI
Hardware
NVIDIA RTX/A-Series GPUs, Ubuntu Linux, Docker, NVIDIA CUDA Toolkit, Gigabit Networking
Impact on Client
Improved devotee safety with real-time crowd density and heatmap monitoring at key hilltop zones
Faster response through AI alerts coordinating police, traffic, and disaster management teams
Reduced stampede risk by flagging overcrowding on narrow approach paths early
Stronger security with facial recognition aiding quick identification of missing/suspicious persons
Positions Jyotiba Mandir as a replicable Smart Pilgrimage Safety model for other sites
Testimonials
"The AI Crowd Monitoring System has made devotee safety and crowd management at Jyotiba Mandir far more proactive, especially during Yatra season. Real-time alerts and coordinated response across police and traffic teams have improved our handling of peak crowds, while facial recognition adds valuable security on our hilltop premises. It has given us confidence in delivering a safer, smoother pilgrimage experience for devotees."
Amol Yedge
Collector & District Magistrate,Kolhapur
ZP
September 2025
"During the high-footfall festivals at Mahalaxmi Temple and Jotiba Temple, managing large crowds across multiple access points was a major challenge. The AI-powered Crowd Management System gave the Devsthan Samiti real-time visibility into crowd movement, helping us identify bottlenecks and take timely action. It has significantly strengthened our ability to manage pilgrim movement safely and efficiently."
Shivraj Naikwade
Secretary
ZP
