This project implements real-time crowd detection using YOLOv8. It identifies and tracks people in a video feed, detects crowd formation based on proximity, and logs the results in a CSV file.
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Updated
Mar 23, 2025 - Python
This project implements real-time crowd detection using YOLOv8. It identifies and tracks people in a video feed, detects crowd formation based on proximity, and logs the results in a CSV file.
Real-time crowd detection using TensorFlow.js and machine learning
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라즈베리파이 + YOLOv8으로 실내 혼잡도를 감지하고 웹 대시보드로 실시간 시각화하는 AIoT 시스템
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A real-time crowd detection system built with TypeScript that analyzes webcam/video input to detect and count people, estimating crowd density for smart surveillance and safety monitoring
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