Vehicle body paint surface defect rapid detection method, image processing equipment and readable medium

• Main Authors: WANG YUNPENG, WANG YUZHE, YU HONGQIU
• Format: Patent
• Language: Chinese; English
• Published: 13.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to a vehicle body paint surface defect rapid detection method, an image processing device and a readable medium, the vehicle body paint surface defect rapid detection method adopts a YOLOv5 model as a defect detection model to analyze surface image information of a vehicle body, and can accurately identify tiny defects existing in a vehicle body paint surface. And the accuracy rate of defect detection and identification reaches 98%, and the recall rate reaches 98%, so that rapid detection of the paint surface defects of the vehicle body is realized. Compared with similar target detection methods such as Fast RCNN and Faster RCNN, the method has the advantages that the detection speed is greatly increased while the detection precision is guaranteed, the picture detection speed reaches 20 pieces per second, and the beat requirement of an automobile production line can be met. 本申请涉及一种车身漆面缺陷快速检测方法、图像处理设备及可读介质，其中车身漆面缺陷快速检测方法通过采用YOLOv5模型作为缺陷检测模型对车身的表面图像信息进行分析，能够准确识别出车身漆面存在的细小缺陷，缺陷检测识别的精确率达到98％