This paper introduces deep learning for safety helmet recognition. First, a pedestrian detection algorithm based on HOG+SVM is discussed. Then, a safety helmet recognition method based on deep convolution neural networks is presented. Simulation results show that compared with a traditional neural network method, the proposed method improves the automatic recognition accuracy of helmets and shows better adaptability to the environment.
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