Crowd monitoring and cluster detection system developed 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.
Crowd Control Dashboard uses YOLO for real-time crowd analysis from video uploads, providing insights to assist in crowd management.
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.
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.
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. 🙆♂️🙆♀️
Visualise crowd density across different areas of a building using a heatmap
Offline friend-finding Android app for crowded events using BLE and WiFi Direct - TU Dublin FYP 2025/26
This is a PoC repository to show how to track and see people individually in a crowd.
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