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
Real-time queue and crowd monitoring dashboard with occupancy analytics and data visualization.
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.
ποΈ ArenaSync AI is a smart venue experience platform for large sporting events that uses π€ AI, π real-time crowd insights, and π§ navigation tools to reduce waiting times, optimize crowd movement, and enhance attendee experience.
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.
An AI-based Smart Crowd Management System that detects and monitors crowd density in real-time using YOLOv8, OpenCV, Machine Learning, and Streamlit. The system supports live webcam, image, and video detection with heatmap visualization and overcrowding alerts for efficient crowd monitoring and public safety.
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
Smart itinerary optimization system for amusement parks that minimizes wait time using crowd-aware scheduling.
SurakshaSetu is an AI-powered crowd safety and smart event management platform built for festivals, religious gatherings, and large public events. It provides real-time crowd density monitoring, live heatmaps, congestion alerts, intelligent route guidance, emergency response support, and analytics to help organizers and authorities prevent stampede
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.
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 Γ©tudiant de gestion d'un parc d'attraction : calcul d'itinΓ©raire entre deux attractions en prenant compte de l'affluence sur chacune des allΓ©es.
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. πββοΈπββοΈ
Crowd Pilot AI β 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.
Predictive analytics system using 26 years of Hajj data to forecast pilgrim volumes, predict safety incidents, and support real-time resource planning decisions. Python Β· Pandas Β· Scikit-learn Β· ARIMA Β· Streamlit
Visualise crowd density across different areas of a building using a heatmap
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