VCNN4PuDe is a framework for identifying the persons who engage in pushing within videos of crowds
Crowd Control Dashboard uses YOLO for real-time crowd analysis from video uploads, providing insights to assist in crowd management.
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 monitoring and cluster detection system developed using Python & OpenCV.
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.
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. 🙆♂️🙆♀️
Prototype for real-time crowd monitoring. Detects and counts people via camera using YOLOv8n and OpenCV, with configurable crowd warning threshold and error handling.
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.
Offline friend-finding Android app for crowded events using BLE and WiFi Direct - TU Dublin FYP 2025/26
Visualise crowd density across different areas of a building using a heatmap
This is a PoC repository to show how to track and see people individually in a crowd.
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