Research on Automatic Adjustment Device of Gauge Position Deviation Based on Machine Vision
A gauge self-adjusting device based on machine vision is designed.After the calibration of the visual detec-tion part,the collected image uses bilateral filtering Canny,weighted Turkey algorithm and tangent method to automatically identify the gauge type and the displacement and angle information of the gauge deviating from the measured position,and transmits the parameter information to Mitsubishi GX Works2 through the upper computer.Mitsubishi FX3U-48MT-ES sends the processed signal to the motor,which drives the motor to automatically adjust the 4-DOF fixture into the test posi-tion,and displays it in real time in the C#window interface.The experimental results show that the deviation of the system from the test position is less than 0.3mm in 15 experiments,which accords with the theoretical uncertainty range and is bet-ter than manual placement,and the effective rate of recognize the gauge surface mark reaches 97.33%,the digital transfor-mation of equipment is realised.