Accurate spray paint design of reciprocating machine based on binocular stereo vision

Abstract

 There are many problems in the positioning and quality control of the traditional reciprocating paint spraying system, which seriously affect the quality and production efficiency of the paint spraying system. Because of the mechanical structure to determine the position, it is difficult to realize high-precision positioning environment illumination conditions will increase the position error of the positioning system. Therefore, we need to adopt new technologies to improve precision to solve these problems. Our team used the binocular camera and the computational science OpenCV depth recognition algorithm to realize accurate identification, built a painting model of the reciprocating machine, and designed a precise painting system based on binocular stereo vision.