Crowd monitoring and cluster detection system with heatmap using Python & OpenCV
-
Updated
Apr 6, 2026 - Python
Crowd monitoring and cluster detection system with heatmap using Python & OpenCV
VCNN4PuDe is a framework for identifying the persons who engage in pushing within videos of crowds
CrowdShield is an AI-powered crowd and disaster management system offering real-time zone monitoring, predictive analytics, and dynamic alerting. Designed for public safety and event control, it features a modular dashboard, multilingual support, and scalable frontend architecture.
It is a web portal which shows the traffic of people at various places. It was a complete Software Engineering project which was developed according to the principles and methodologies of software engineering.
Crowd Control Dashboard uses YOLO for real-time crowd analysis from video uploads, providing insights to assist in crowd management.
Offline friend-finding Android app for crowded events using BLE and WiFi Direct - TU Dublin FYP 2025/26
AI-powered system to optimize crowd movement, reduce wait times, and enhance stadium experiences in real-time.
Projet étudiant de gestion d'un parc d'attraction : calcul d'itinéraire entre deux attractions en prenant compte de l'affluence sur chacune des allées.
Prototype for real-time crowd monitoring. Detects and counts people via camera using YOLOv8n and OpenCV, with configurable crowd warning threshold and error handling.
Real-time AI crowd monitoring and disaster management system using YOLOv8, WebSocket, MQTT, and geographic routing. FastAPI backend + React frontend.
AI-powered crowd flow, real-time queue management, and seamless event coordination for large-scale sporting venues.
Welcome to the Crowd Counter program! This Python application utilizes the p2pnet model to calculate the number of people in a crowd based on an input image. The program marks each and every entity in the crowd with a point and provides the total count of individuals as the program output. 🙆♂️🙆♀️
Crowd Pilot AI — An AI-powered smart stadium companion that provides real-time crowd routing, facility demand insights, predictive event analytics, and accessibility-aware navigation using a lightweight vanilla JavaScript architecture.
AI-powered Smart Stadium Assistant to optimize crowd movement, waiting times, and real-time coordination in large venues.
This is a PoC repository to show how to track and see people individually in a crowd.
Visualise crowd density across different areas of a building using a heatmap
AI-powered crowd orchestration system for stadiums with real-time simulation, WebSocket dashboards, and Gemini-based assistant.
A Crowd Management System for Universities
🏟️ ArenaSync AI is a smart venue experience platform for large sporting events that uses 🤖 AI, 📊 real-time crowd insights, and 🧭 navigation tools to reduce waiting times, optimize crowd movement, and enhance attendee experience.
Add a description, image, and links to the crowd-management topic page so that developers can more easily learn about it.
To associate your repository with the crowd-management topic, visit your repo's landing page and select "manage topics."