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 ...

PCB(Printed Circuit Board) 제조 공정에서 발생하는 다양한 결함을 자동으로 검출하는 딥러닝 기반 객체 인식 시스템입니다. PCB/ ├── dataset/ # 데이터셋 │ ├── roboflow/ # Primary dataset (Roboflow format) │ │ ├── train/ # 학습 데이터 (images, labels) │ │ ...

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: ...

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.