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Automatic Detection of Defects in Solar Modules: Image Processing in Detecting

机译:自动检测太阳能模块中的缺陷:检测中的图像处理

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Image acquisition devices which can get infrared image of solar modules is designed by using the principles of the semiconductor's electroluminescence, andimage processing is applied to the detection system which can detect the defects automatically including black pieces, fragmentation , broken grid ,crack and so on. At first the defects of the infrared image are classified and then the defects' types and locations are marked out after filtering, single-chip division, gray-scale transformation, binary, feature description and extraction,finally the results are feeded back to the database. This method increases the defects' types (such as invisible crack) which the manual testing is difficult to identify, it also can eliminate human errors which manual testing may produce possibly and can reduce labor costs, defects' rates , futher it can improve the detection's efficiency and productivity of production line.
机译:利用半导体的电致发光原理设计了可以获取太阳能电池组件红外图像的图像采集装置,并将图像处理应用于检测系统,该系统可以自动检测包括黑色碎片,碎片,破碎的网格,裂纹等在内的缺陷。首先对红外图像的缺陷进行分类,然后通过过滤,单芯片划分,灰度变换,二进制,特征描述和提取,对缺陷的类型和位置进行标记,最后将结果反馈到数据库中。 。这种方法增加了手工检测难以识别的缺陷类型(如隐形裂纹),还可以消除手工检测可能产生的人为错误,并可以降低人工成本,降低缺陷率,进一步提高检测效率。生产线的效率和生产率。

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