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real-time-detection

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An AI-driven solution enhances construction site safety using the YOLOv8 model for object detection. It identifies hazards like workers without helmets or safety vests, workers near machinery, and workers near vehicles. Post-processing algorithms further improve detection accuracy.

  • Updated Jul 16, 2024
  • Python

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

  • Updated Jul 15, 2024
  • Python

In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.

  • Updated Jan 29, 2024
  • Python

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