关键词: 视觉感知, 智能检测, 深度学习, 图像处理, 表面缺陷检测, 小样本目标检测, 人工智能

Abstract: Due to the unparalleled advantage at the quality control of industrial products,intelligent detection of surfacedefect based on vision sensing has attracted ever-increasing attention and been applied in a wide range of industries,such as automotive industry,semiconductor manufacturing,glass fabrication,steel metallurgy.The rapid development of AI learning algorithms and the vision sensing technology has brought new opportunity and challenges to the detection of surface defect.A survey of methodologies and trends in the vision based surface detection was summarized,with special focus on modern image processing,geometric deep learning and deep learning methods for object detection,which could prompt a technological breakthrough to the intelligent detection of surface defect.The applications of industrial image detection were discussed by three typical fields including steel metallurgy,air pollution monitoring and defect detection of aircraft engine.Several challenging issues were envisioned for future research.

Key words: vision sensing, intelligent detection, deep learning, image processing, surface defect detection, few-shot object detection, artificial intelligence