Abstract: Aiming at the problems of low detection accuracy and large model of most current printed circuit board (PCB) defect detection algorithms, which are not conducive to mobile deployment, an ...

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 ...

This project implements and compares two YOLOv12 object-detection pipelines for printed-circuit-board (PCB) defect identification. The objective is to detect four major defect types: ...

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.

PCB Defect Detector is a web application designed to analyze and detect defects in printed circuit boards (PCBs). The application leverages modern web technologies and tools to provide an intuitive ...

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 ...