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: To address the limited accuracy of existing PCB surface defect detection methods, the challenge of balancing detection performance with lightweight design, and the need for real-time ...
Congenital heart defects (CHDs) are among the most common birth defects, affecting nearly 1 in 100 babies born in the U.S. Yet despite advances in prenatal imaging, CHD remains one of the most ...
A hipot tester works by applying high voltage to a device under test and measuring how much electrical current leaks through its insulation. In medical implantable and aerospace avionics, allowable ...
Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...
PCB(Printed Circuit Board) 제조 공정에서 발생하는 다양한 결함을 자동으로 검출하는 딥러닝 기반 객체 인식 시스템입니다. PCB/ ├── dataset/ # 데이터셋 │ ├── roboflow/ # Primary dataset (Roboflow format ...
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 ...
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