The System Research on Automatic Defect Detection of Glasses

• Published in: Applied Mechanics and Materials Vol. 437; no. Industrial Design and Mechanics Power II; pp. 362 - 365
• Main Authors: Ma, Gui Dian, Gu, Ji Nan, Yao, Hong Bing, Ping, Jie, Li, Liang Wan
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.10.2013
• Subjects: Algorithms; Classification; Defects; Evaluation; Glass; Image processing; Machine vision; Visual inspection; Image Acquisition; Machine Vision; Image Processing; Lens Defects
• ISBN: 9783037858967; 3037858966
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.437.362

A glasses defect inspection system is researched and developed according to the principle of light scattering and visual inspection method, which is based on the machine vision. In order to achieve the classification of glasses, the functions of image acquisition, simple image processing, grading and sorting of glasses are designed in this system. Operation of parallel structure is adopted in this system. Forwardlighting by low-angled-ring-LED is used to get the clear images of the defects in or on the surface of the glasses, such as speckles, impurities, feathers and so on. Image processing and glasses grading based on normalization algorithms are used to acquire the identifying information of various defects of glasses. Experiment results show that the detection system, which can detect all the kinds of defects of the glasses, has high processing speed and strong anti-interference capacity. The size of the smallest defect that can be detected by the system is 0.03mm, and the average detection time of each glass is less than 2s.