IEEE

Hierarchical Optimization Framework for Robust PCB Defect Detection via Adaptive YOLOv12 Architecture

Abstract: The requirement of trustable and precise defect detection in Printed Circuit Boards (PCBs) remains a challenge in the industrial setting. Often certain microscopic anomalies that are ...
BGR

You Can Build A Personal AI Chatbot Using Raspberry Pi - Here's How

Sure, we may have constant access to AI chatbots on our smartphones, sitting accessibly in our pockets, lessening the need for a dedicated portable device. But what if I told you that rather than ...
GitHub

PCB Defect Detection Using YOLOv12

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: ...
IEEE

Improved the PCB Defect Detection Method Based on YOLOv5s

Printed Circuit Boards (PCBs) serve as essential carriers for mechanical support and electrical interconnection of electronic components. The detection of appearance defects is critical for ensuring ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

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 ...