id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_35n7f6rilnfzdevpa7noi3pla4	Zheming Fan	A deep learning-based ensemble method for helmet-wearing detection	2020	21	.pdf	application/pdf	6284	677	65	Keywords Ensemble method, Deep learning, Helmet-wearing detection, Face detection A deep learning-based ensemble method for helmet-wearing detection. Once (YOLO) algorithm to accurately detect helmet wear in images with an average of algorithms to improve the ability of helmet-wearing detection in complex scenes. RCNN performs well for relatively large objects, but when detecting small faces or helmets, Faster RCNN for detecting faces and helmet-wearing. The detection results of Faster RCNN for faces are shown in Figs. Obviously, the Faster RCNN model has lower accuracy for small faces. data that the detection capabilities of the Faster RCNN and Tiny Face models have their Accuracy of base algorithms for helmet detection ensemble framework by combining Faster RCNN and Tiny Face+CNN together with ROC for helmet-wearing detection, we can integrate a complementary model with it to get Safety helmet wearing detection based on image processing and machine learning. Safety helmet wearing detection method of improved	./cache/work_35n7f6rilnfzdevpa7noi3pla4.pdf	./txt/work_35n7f6rilnfzdevpa7noi3pla4.txt