Online Inspection System for Maize Kernel Based on Computer Vision

In this paper, we developed an online inspection system for maize kernel gesture recognition based on computer vision. The data，such as the aspect ratio, the area, the width of the maize kernel and the angle of the deflection can be acquired. The angle of the deflection was transmitted to the PLC by communications, the rotation of the turntable can be achieved by PLC control. According to the selection criteria for the maize kernel，those which cannot meet the requirements，such as too small or damaged，will be excluded，while the qualified maize kernels will be clamped by the manipulator for subsequent processing.