Designed for both high-volume lines and agile production setups, it promises sharper accuracy, faster changeovers, and seamless smart-factory connectivity.

Abstract: To address the issues of insufficient fine-grained defect feature extraction and limited detection accuracy in traditional YOLOv8 algorithm models for PCB industrial board defect detection, ...

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 ...

External defect detection is a crucial step in Orah mandarin citrus grading. However, in existing defect detection algorithms by image processing, Orah mandarin surfaces exhibit characteristics such ...

Abstract: In this paper, a lightweight Printed circuit boards (PCB) defect detection model (LPDETR) is proposed, which maintains high detection performance while effectively addressing the limitations ...

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 ...

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.