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This project code is forked from https://github.com/DetectionTeamUCAS/FPN_Tensorflow. I have only made minor changes on this wonderful and clear project. Thanks for ...

Abstract: Aiming at the existing PCB defect detection methods that have problems such as low accuracy and more difficult to identify defects, a PCB defect detection algorithm based on improved Yolov8 ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

Abstract: A PCB defect detection model based on YOLOv11 is proposed to address the problems of small target size and complex background in printed circuit board (PCB) defect detection, which leads to ...