Abstract: The proposed work aims to implement a YOLOv10m-based neural network model for automated PCB defect detection in order to overcome the constraints of conventional, manual and semi-automated ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

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 ...