The Design and Implementation of Defect Detection Algorithm for Solar Cells

被引：0

作者：

Cheng, Xingmei ^{[1
]}

Gu, Qinlong ^{[2
]}

Zhou, Boda ^{[2
]}

Yao, Minghai ^{[2
]}

机构：

[1] Zhejiang Univ Technol, Zhijiang Coll, Hangzhou 310024, Zhejiang, Peoples R China

[2] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China

来源：

2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015) | 2015年

关键词：

solar cell; defect detection; machine vision; embedded system; real-time;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

There are some defects such as dark spots, cracks and broken grids during solar cell production. So it is extremely urgent that how to supervise and enhance the quality of solar cell. There are still some problems such as low speed, single defect type detection and high price in defect detection of solar cells. The proposed algorithm based on machine vision is realized in embedded system and satisfies the cost, efficiency and power dissipation requirement. The novel pre-judgement mechanism of defect is designed for preliminary defect recognition that based on grayscale distribution figure. Then the solar cells with any defect possible are processed with more accurate detection operation to judge and distinguish defect type according to geometrical characteristic. The experiment shows that the algorithm can enhance the accuracy rate of product and realize real-time performance.

引用

页码：53 / 58

页数：6

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