In recent years, more and more attention has been paid to the safety of motorcyclists. Wearing helmets is very important for their own safety. In order to improve the accuracy and robustness of the detection network, in this paper, the mainstream onestep detection network SSD net is introduced with similar visual mechanism module, and the weight of network feature map is reselected in channel and space. The RFB module is also added to the network, which is similar to the human visual eccentricity mechanism. We also use Mosaic method for data enhancement and cosine attenuation learning rate to optimize the network. The experimental results show that the MAP value of the improved network is about 4% higher than that of the original SSD net. And it has better application effect.