Printed circuit boards (PCBs) are the foundation of modern electronic devices and demand rigorous quality control to prevent failures caused by manufacturing defects. Contemporary inspection ...

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 ...

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) │ │ ...

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 ...

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.

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.

In this Special Focus Issue, Digital Engineering takes a look at how generative design solutions can be used across different types of design problems and with a variety of manufacturing approaches to ...

Abstract: In the electronics industry, PCB is crucial for ensuring the product quality. However, these defects of PCB generally have the characteristics of complex backgrounds, small sizes and similar ...