Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

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: 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 ...

Press release from Cal Poly Humboldt: On a warm August afternoon, on a quiet side street in Arcata, a group of Cal Poly Humboldt students are taking turns swinging a sledgehammer against a small steel ...

LEE — With construction of the upland disposal facility intended to hold PCB-contaminated sediments due to begin in 2026, the Environmental Protection Agency and General Electric Co. are hoping that ...

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 ...

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 ...