Dovahkiin-Ming/Personnel-Flow-Monitoring-System-based-on-YoloV5
Personnel Flow Monitoring System based on YoloV5
This project helps operations managers and business owners monitor foot traffic in real-time using live video feeds or uploaded images. It takes video streams or image files as input, detects all individuals within the frame, and outputs a count of people, along with their detected locations and confidence scores. The tool provides valuable insights for optimizing space utilization, managing queues, or assessing marketing campaign effectiveness.
No commits in the last 6 months.
Use this if you need an automated system to count people in a given area from video footage or static images, and visualize this information through a web interface.
Not ideal if you require sophisticated individual tracking, identity recognition, or detailed behavioral analysis beyond simple crowd counting.
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37
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11
Language
Python
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Last pushed
Mar 27, 2024
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