The machine vision system equipped with artificial intelligence technology can better adapt to the characteristics of fast technological iteration and complex and diverse processes in the photovoltaic industry, reduce the difficulty of enterprise production replacement, and reduce equipment replacement costs. Machine vision systems in the photovoltaic industry are mainly applied in the following areas: defect detection, positioning guidance, measurement, and recognition.

In recent years, with the development of the photovoltaic industry, the demand for automatic detection of components in China has increased. Machine vision technology is widely used in photovoltaic detection, such as electroluminescence and photoluminescence imaging, which can accurately detect defects in battery components. In addition, machine vision is also used for component packaging, process defect tracing and analysis, online quality prediction and control, etc., to improve product stability and reliability.

The widespread application of machine vision can significantly reduce labor costs, improve production line yield and unit time output, reduce overall manufacturing costs, support the personalized needs of 3C electronic products in the future, such as lightness, thinness, and irregularity, and drive more integrated and innovative process technology, meeting the upgrading needs of end consumers. The application of machine vision in the 3C electronics industry is an important part of the industry‘s automation and transformation towards intelligent manufacturing.