Research of Solar Cell Surface Defect Detection System Based on Machine Vision

Abstract

According to the surface quality problem of the solar cells, the machine vision detection system is designed. Concept design of the visual inspection system, hardware configuration and software work process are described in detail. In the experimental process, solar cell images are collected in the motion state, the image characteristics of all kinds of damage are extracted, and the least squares support vector machine algorithm is used to construct the solar cell defect recognition model, the intelligent detection and classification of the solar cells can be achieved. Practice dictates that the system is effective to detect the surface defect of solar cells, guide the production process and improve the quality of products.