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

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.

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.

🏟️ 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.

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

Prototype for real-time crowd monitoring. Detects and counts people via camera using YOLOv8n and OpenCV, with configurable crowd warning threshold and error handling.

Smart itinerary optimization system for amusement parks that minimizes wait time using crowd-aware scheduling.

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.

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.

Visualise crowd density across different areas of a building using a heatmap

AI-powered Smart Stadium Assistant to optimize crowd movement, waiting times, and real-time coordination in large venues.

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.

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. 🙆‍♂️🙆‍♀️

This is a PoC repository to show how to track and see people individually in a crowd.

AI-powered crowd orchestration system for stadiums with real-time simulation, WebSocket dashboards, and Gemini-based assistant.

A Crowd Management System for Universities