Research on Control Tool Detection Algorithm Based on YOLOv8 Improved Model
Although controlled knives are essential and important items in daily life,they are prohibited from being carried during security checks,otherwise they may give criminals an opportunity to exploit and threaten social security.In order to improve the efficiency of tool detection and control in the security inspection process,this pa-per proposes a detection algorithm based on the YOLOv8 improved model.The experimental results show that,based on YOLOv8,by adding CBAM attention mechanism on Backbone and introducing the loss function Wise IoU,the improved algorithm map has been improved by 8.2%,reaching 60.4%,providing a certain reference value for subsequent algorithms for identifying controlled tools
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维普
