Elektor 2025 review: projects and articles that featured power and test equipment, embedded systems, wireless, AI, IoT, and more.

Abstract: This project, “Automated PCB Defect Detection and Quality Assurance System using Image Processing,” is an AI-based solution that detects defects in Printed Circuit Boards (PCBs) at high ...

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 insufficient fine-grained defect feature extraction and limited detection accuracy in traditional YOLOv8 algorithm models for PCB industrial board defect detection, ...

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 ...

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 ...