Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision

QIAN Xiaoliang; ZHANG Heqing; CHEN Yongxin; ZENG Li; DIAO Zhihua; LIU Yucui; YANG Cunxiang

doi:10.11936/bjutxb2016040063

Volume 43 Issue 1

Sep 2022

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JOURNAL OF MECHANICAL ENGINEERING > 2017 > 43(1): 76-85.

QIAN Xiaoliang, ZHANG Heqing, CHEN Yongxin, ZENG Li, DIAO Zhihua, LIU Yucui, YANG Cunxiang. Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision[J]. JOURNAL OF MECHANICAL ENGINEERING, 2017, 43(1): 76-85. doi: 10.11936/bjutxb2016040063

Citation:

QIAN Xiaoliang, ZHANG Heqing, CHEN Yongxin, ZENG Li, DIAO Zhihua, LIU Yucui, YANG Cunxiang. Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision[J]. JOURNAL OF MECHANICAL ENGINEERING, 2017, 43(1): 76-85. doi: 10.11936/bjutxb2016040063

Citation:

QIAN Xiaoliang, ZHANG Heqing, CHEN Yongxin, ZENG Li, DIAO Zhihua, LIU Yucui, YANG Cunxiang. Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision[J]. JOURNAL OF MECHANICAL ENGINEERING, 2017, 43(1): 76-85. doi: 10.11936/bjutxb2016040063

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Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision

doi: 10.11936/bjutxb2016040063

1.
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
2.
Xuji Croup Corporation, Xuchang 461000, Henan,China

Received Date: 18 Apr 2016
Available Online: 09 Sep 2022
Issue Publish Date: 01 Jan 2017

Abstract

Abstract

Considering the advantages of simple operation and high detecting accuracy, all aspects involved in solar cell surface defect detection methods based on machine vision were reviewed in this paper. First of all, the various imaging techniques and common defect types of solar cells surface were summarized. Secondly, the existing detection methods were introduced and compared with each other according to the different idea of mathematical modeling. Finally, a brief summary of this article and perspective of future research are presented. It can be concluded that the solar cell surface defect detection methods based on machine vision have made great progress. However, there is still room for improvement in algorithm design of feature extraction, such as feature extraction algorithm based on deep neural networks.
- solar cell,
- machine vision,
- surface defect,
- imaging

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References

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Research Development and Prospect of Solar Cells Surface Defects Detection Based on Machine Vision

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