Glass Cover Screen Scratch Detection Algorithm Based on Improved YOLOv5s
In order to realize the efficient automatic detection of glass cover screen,aiming at the problem of slow speed and low accuracy of manual detection,an improved model of scratch detection of glass cover screen based on YOLOv5s algorithm is proposed.Firstly,the original C3 module is improved by referring to the ResNeXt structure and the large kernel attention(LKA)structure to enhance the network's ability to detect and extract features.Secondly,the BiFPN module is introduced into the network to improve the fea-ture fusion ability and small target detection ability.Finally,the EIOU loss function is used to replace the CIOU loss function to improve the accuracy of anchor generation and the convergence speed.The results show that the accuracy rate of the improved model reaches 98.2%,and the recall rate reaches 98.4%,which realizes the high-precision detection of glass cover screen scratches.
NETL
NSTL
万方数据
维普
