The Application of YOLOv5 in Defect Detection of Knitted Fabrics
The quality inspection of knitted goods is usually done manually,and the judgment of defects is easily affected by various subjective factors.With the rapid development of computer technology,networks such as CNN and RNN provide new enlightenment for its intelligent detection.YOLOv5,as a real-time detection method,can transform object detection into a regression problem,thus simplifying the detection process.Therefore,aiming at the quality inspection based on computer vision technology,this paper analyzes various improvement algorithms and compares the research status in the field of quality inspection to provide reference for the research of this technolo-gy.
万方数据
维普
