The existing algorithm for detecting the helmet wear by coal miners has the problem of difficulty in achieving a good balance between detection accuracy and speed. In order to solve the above problem. based on the YOLOv4 model. a lightweight model (M-YOLO) that integrates coordinate attention and multi-scale is proposed and applied in safety helmet wearing detection. https://www.pomyslnaszycie.com/us-topo-7-5-minute-map-for-booger-canyon-az-fashion/