A Survey of Surface Defect Detection Based on Deep Learning
Weihua Yang
Abstract
In recent years, with the rapid development of technologies such as computers and artificial intelligence, various research fields based on deep learning have been broadly used, among which industrial detection is the most important.In this paper, the definition of defects and defect detection is firstly defined.Then, several mainstream methods of surface defect detection based on convolutional neural network are introduced in recent years, and the typical application scenarios of each method are summarized.Finally, two key problems in surface defect detection are discussed.
Topics & Concepts
Surface (topology)Deep learningArtificial intelligenceComputer sciencePsychologyMathematicsGeometryIndustrial Vision Systems and Defect DetectionSurface Roughness and Optical MeasurementsManufacturing Process and Optimization