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helmet-detection

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This project utilizes machine learning to detect traffic rule violations i.e., helmet detection. It captures video feeds from traffic cameras, processes them to identify violations, and automates fine collection by notifying relevant authorities. The system aims to enhance road safety and streamline traffic management.

  • Updated Jul 23, 2024
  • Python

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

  • Updated Aug 26, 2024
  • Python

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