Application and research of vision inspection in the position self-compensation system of industrial robot

Automatic production is closely linked with industrial robots. However, the precision of robot positioning significantly impacts the stability of the automation system. To address this issue, we establish an industrial automation system comprising an industrial camera, visual processing software, controller, and industrial robot to enable robot self-compensation. The system's visual detection module, comprising visual processing software and an industrial camera, detects offsets and compensates for errors in the industrial robot. This facilitates self-inspection and self-correction of robot grasping errors, enhancing the operational stability of the automatic production system.The experimental results show that this method has strong practicability. Compared with the system without self-compensation, the steady-state error is reduced by 0.01 mm in 1000 times of repeated grabbing, which improves the stability of automatic production and has high popularization and application value.