Vehicle painting rocker panel glue visual inspection system and method

Abstract

The invention discloses a vehicle painting rocker panel glue visual inspection system and method. The vehicle painting rocker panel glue visual inspection system comprises an industrial control computer (1), an image processor module (2), a high-speed input / output (I / O) module (3), a camera module (4), an OLE for process control (OPC) server module (5) and a programmable logic controller (PLC) (6); the OPC server module is connected with the PLC and the industrial control computer, the industrial control computer is connected with the camera module through the high-speed I / O module, the cameramodule comprises a plurality of industrial cameras arranged on a vehicle production assembly line, and the industrial cameras are symmetrically arranged on two sides of a vehicle; and the image processor module is connected with the camera module and controls the camera module to collect rocker panel painting images, and the image processor module is connected with the industrial control computer. According to the vehicle painting rocker panel glue visual inspection system and method, the quality of vehicle rocker panel glue can be automatically detected through a visual system technology, automatic detection and alarming of the gluing quality problems of the edge consistency of the painting rocker panel glue of the bottom of the vehicle, the surface defect, glue breaking at a rocker panel and the like can be realized, the precision is greatly improved, and the labor cost is reduced.

Description

technical field [0001] The invention relates to a detection device and method for the spraying process of skirt glue of an automobile painting robot, in particular to a visual detection system and method for skirt glue of automobile painting. Background technique [0002] In the existing automobile spraying process, the spraying of the whole vehicle is completed by robots. Since the shapes of the chassis and skirts of the automobile may have changes such as depressions, protrusions, and corners, etc., the robot will produce uneven spraying during the spraying operation. Defects, especially the position of the skirt of the car, are prone to spraying defects. In order to detect defects such as uneven spraying, many automobile companies have adopted an image-based detection method to detect the quality of skirt spraying. [0003] As modern industrial production has higher and higher requirements for intelligence, machine vision technology has the advantages of non-contact perc...

AI Technical Summary

Problems solved by technology

[0004] First, the source of image acquisition cannot be synchronized in real time;

[0005] Second, the image processing algorithm is single and the stability is poor;

[0006] Third, the communication between the image processing and the electronically controlled programmable logic controller (PLC) is unstable, and the information transmission is delayed

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