Various types of defects exist in the solar cell surface because of some uncontrollable factors during the process of production. The solar cell surface defects detection is indispensable for the production of solar cell. The automatic defects detection methods based on computer vision have been widely used because of its convenience, real time and low cost. The state-of-the-art methods of solar cell surface defects detection based on computer vision are reviewed in this paper. Firstly, the typical defects of solar cell surface are summarized. Secondly, the state-of-the-art methods are classified into three categories: local scheme, global scheme and local-global scheme based methods, and separately introduced. Thirdly, the qualitative and exact evaluations of state-of-the-art methods are presented. The main contents of this paper and future development trends are summarized in the end.
Qian and Zhang REF review four typical types of solar cell surface defects and evaluate the current popular machine vision detection algorithms.
Solar Cell Surface Defects Detection based on Computer Vision
International journal of performability engineering
Materials Science