Mechanical arm visual system

Abstract

The invention provides a mechanical arm visual system. The mechanical arm visual system is characterized in that a binocular camera is used for collecting image data of a characteristic object of a working area of a mechanical arm; an image processing module is used for receiving the image data transmitted by the binocular camera, performing characteristic value extracting on the image data shot by the binocular camera by adopting a symmetric convolution neural network image denoising mode for filtering processing, and reconstructing original image data according to the extracted characteristic values; a hand-eye calibration module is used for calibrating the coordinate of the characteristic object on the image data transmitted by the image processing module, and unifying the coordinate ofthe characteristic object and the coordinate of the tail end of the mechanical arm; and a mechanical arm control module is used for receiving the motion parameters and the motion track of the mechanical arm in real time, generating a mechanical arm motion track instruction according to the unified coordinate, and controlling the movement of the mechanical arm in real time. The intelligent degreeof the mechanical arm control is improved.

Description

technical field [0001] The invention relates to the field of industrial intelligent control, in particular to a robotic arm vision system and method. Background technique [0002] In recent years, industrial robots have been widely used in the field of industrial control. The traditional technical method uses the offline programming guidance of operators to control industrial robots. The robot repeatedly executes the program stored in the memory unit to perform the required operations. This control method is extremely restrictive for intelligent robots, does not have real-time performance, has insufficient perception of external information changes, and cannot adjust the operating behavior according to changes in the environment. At the same time, a large number of functions require a large amount of programming preparation time. , which greatly reduces the system efficiency to a certain extent. Contents of the invention [0003] In order to overcome the deficiencies in t...

AI Technical Summary

Problems solved by technology

This control method is extremely restrictive for intelligent robots, does not have real-time performance, has insufficient perception of external information changes, and cannot adjust the operating behavior according to changes in the environment. At the same time, a large number of functions require a large amount of programming preparation time. , which greatly reduces the system efficiency to a certain extent

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