RESEARCH ON THE IDENTIFICATION OF UNSAFE BEHAVIOUR OF COAL MINE PERSONNEL BASED ON THE LIGHTWEIGHT YOLOV5
Most safety accidents in coal mines are caused by unsafe behaviors of miners.The YOLOv5 object detection model can de-tect miners'violations through video data to reduce the probability of accidents occurring.However,YOLOv5 has issues with slow training speed and low recall rate,and the model needs to be modified to address these issues.The improved model significantly im-proves the recall and accuracy compared to the original model,and the test results are excellent,which can be successfully applied in the process of identifying violations in coal mines.
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