Research and Application of Tablet Backplane Detection Algorithm Based on Machine Vision

The detection of tablet backplane accessories is one of the important links in whether the tablet computer can be qualified to enter the market. The traditional inspection link usually uses artificial visual inspection, which has problems such as low efficiency and error rate increasing with workers' working time. Therefore, this paper proposes a system based on machine vision and industrial control computer, which studies and applies the vision algorithms. The system acquires pictures by a specific camera, perform two extraction of template area center points on the tablet backplane on the pipeline and the affine transformation to get the accurate location. The film detection algorithm is used for the film in the system. The nut adopts the nut detection algorithm. Foam uses statistical methods based on describing textures. After verification in 300 samples provided by the factory, the results show that the average detection time is 49.37 milliseconds, and the accuracy rate is 97%.