At present,most of the manipulators on the manufacturing industrial production line use manual input instructions to control the movement of the actuator,and can only complete the operation under the fixed template,and it is likely to cause the robot operation to fail for some complex working conditions.To some extent,this leads to higher production costs,low work efficiency and reduced automation.Add machine vision technology to the manufacturing line,and introduce remote detection,image recognition,positioning and guidance technologies in machine vision to the machine control system,so that the machine can independently respond to environmental changes,and can improve the intelligence and automation of machine work.This paper introduces machine vision into the automatic production line of industrial machines and realizes workpiece positioning and grasping through visual recognition and guidance.Focus on the key steps of system construction,the unification of camera and machine coordinates,and the design and development of workpiece recognition algorithms.
维普
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