Case Study-Typical Application of Machine Vision in Solar Energy Industry

With the rapid development of science and technology, solar energy, which is one of the new energy sources, has the advantages of universal energy, convenient use, long-term use, and pollution-free.

Solar cell panels are composed of many small photovoltaic cells, and the processing and processing of these battery cells requires a lot of manpower and material resources. After the photovoltaic cells are processed, they need to be connected in series. At this stage, if the battery cells are not correctly placed or connected, it will directly affect the operation and efficiency of the solar cell panel. The quality inspection has always been a big problem for the industry.

Solar panel inspection


The use of machine vision technology in the industry overcomes this big problem. Manufacturers of solar cells and modules use machine vision for three purposes: detecting products, identifying and tracking products, and assembling products, just like robotic navigation systems.

Machine vision technology for the detection of solar panels mainly includes: shape detection: widening, thickness, perpendicularity, warpage, etc .; appearance detection: cracks, cracks, perforations, microcrystals, line marks, crystal peeling, chipping and chipping Defect angle, etc .; Electrical performance testing: including conductivity type, resistivity and minority lifetime; impurity analysis: analysis of impurity oxygen, carbon content, etc.

Solar panel detection system


Wei Shi image solar cell detection program

The application of machine vision technology can intuitively show the distribution characteristics of the diffusion length of solar cells. By analyzing the image, it can effectively find possible problems in various links such as silicon wafers, diffusion, passivation, screen printing and sintering. It can also identify the appearance defects of the battery panel, such as broken edges, notches, broken grids, stains, cracks, etc., and mark unqualified battery slices, and send out signals to eliminate them. This is to improve the process and improve production efficiency. And stable production have a very important role.

At the same time, machine vision is applied to automatic operations, which can take single wafers and fix finished battery panels for transportation, etc., which greatly saves labor and material consumption, greatly saves production costs, increases quality stability, and improves Work efficiency.