基于改进YOLOv8s的PCB板缺陷检测技术分析

Analysis of PCB Board Defect Detection Technology Based on Improved YOLOv8s

阐述印刷电路板(PCB)的缺陷检测对于保证产品质量和可靠性的意义。提出一种基于改进YOLOv8s的PCB板缺陷检测系统,该系统利用深度学习和计算机视觉的技术,实现对PCB板上各种缺陷的自动检测和识别。

This paper describes the significance of defect detection for printed circuit boards(PCB)in ensuring product quality and reliability.It proposes a PCB defect detection system based on improved YOLOv8s,which utilizes deep learning and computer vision technologies to achieve automatic detection and recognition of various defects on PCB boards.