基于机器视觉的LED芯片缺陷检测系统研究

Research on the Detection System of LED Chip Defect Based on Machine Vision

近年来计算机及信息技术飞速发展,并在各个领域得到了广泛应用,极大地促进了社会的发展。数字图像处理技术以其高效准确性,在工业产品缺陷检测中发挥了重要作用。利用该技术可以代替人工检测,极大地提高了工作效率,降低了人工成本,增加了企业收益。因此,研究基于图像处理的LED芯片缺陷检测系统,对比不同LED芯片缺陷类型及传统检测方法的优缺点,分析图像处理技术的优越性及应用,并进一步详细说明基于该技术进行LED芯片缺陷检测的过程及实现,对提高产品质量、生产效率以及企业收入具有重要意义。

In recent years,the rapid development of computer and Information Technology,and has been widely used in various fields,greatly promoting the development of society.Digital image processing technology plays an important role in defect detection of industrial products because of its high efficiency and accuracy.Using this technology can replace the manual detection,greatly improve the work efficiency,reduce the labor cost,increase the enterprise income.Therefore,the LED chip defect detection system based on image processing is studied,the advantages and disadvantages of different LED chip defect types and traditional detection methods are compared,and the advantages and applications of image processing technology are analyzed,the process and realization of LED chip defect detection based on this technology are explained in detail,which is of great significance to improve product quality,production efficiency and enterprise income.