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Key Technologies Research on the Automated Optical Inspection for Silicon Solar Cells Production

Author: ChenJun
Tutor: ZhangXianMin
School: South China University of Technology
Course: Mechanical Manufacturing and Automation
Keywords: Silicon solar cell Machine Vision Automated Optical Inspection Image Processing Inspection algorithm
CLC: TP274
Type: Master's thesis
Year: 2011
Downloads: 159
Quote: 1
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Abstract


As environmental pollution, shortage of energy resources and nuclear safety issues have become more and more serious, silicon solar cell gets global concern due to its advantages of clean, renewable and safe. Because defects inevitably exist during the production process of silicon solar cells, it very important to ensure product quality using effective means. With the expansion of production capacity, manual visual inspection and on-line testing can not keep pace with production line, but Automated Optical Inspection(AOI) systems meets the production demand excellently by its good automation and intelligent.According to the principle of machine vision, the process of Automated Optical Inspection is pattern recognition. That is, firstly obtain high quality images by the optical system and do image preprocessing, then extract characteristics of the defects by feature extraction method, finally reach machine decision function by designing specific defect inspection algorithms.So this paper firstly analyzed the structure and functions of vision inspection system and designed the overall solution of system based on the production process of silicon solar cell. And designed hardware systems, motion control systems and software systems, then completed the selection of main components, also developed software system based on modular ideas.Secondly, this paper studied the image preprocessing, actualized digital operation and geometric transformation to the images obtained by the image acquisition system, and made use of image enhancement methods by gray level transformation and histogram processing, then adopt median filter and the Gauss filtering method for image filtering, finally studied image segmentation technology of binary images and region segmentation.On these basis, defects were extracted and classified based on feature extraction method according with geometric features, shape features, texture features and color feature, and the inspection algorithm was studied about image contrast, statistical modeling and feature modeling, then specific inspection algorithm was developed for main specific defect inspection.Finally, the vision inspection system machine was designed and manufactured on the basis of mentioned theory and technology, and the integrated performance experiment about accuracy, efficiency and reliability was implemented. The results show that: the visual inspection system has good accuracy, efficiency and reliability, excellently meets the requirement of practical production.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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