3D visual inspection system and inspection method of gluing quality

Abstract

The invention discloses a 3D visual inspection system of gluing quality. The system comprises a 3D contour scanner, an image processing unit, an encoder, and a computer. The 3D contour scanner consists of an area array CCD and a straight linear laser generator. The image processing unit transmits an adhesive tape 3D image signal shot by the 3D contour scanner to the computer. The encoder fixed with the 3D contour scanner together generates a pulse and triggers the 3D contour scanner to collect an image. The computer with image processing software arranged inside the computer is able to locatean adhesive tape track, calculate the width and area of the adhesive tape, and compare the width and area of the adhesive tape with respective preset threshold values to determine whether the gluing is qualified. In addition, the invention also discloses a 3D visual inspection method of gluing quality. Compared with the prior art, the 3D visual inspection system and method have the following beneficial effects: the continuity and location of glue can be detected accurately and stably; the detection efficiency is improved; and the detection reliability is enhanced.

Description

technical field [0001] The invention relates to the field of automotive electronics, in particular to a 3D visual inspection system for glue coating quality. The invention also relates to a 3D visual inspection method for glue quality. Background technique [0002] In the automotive electronics industry, the production of various products involves gluing processes (such as gluing on the bottom plate of the ECU shell). In the prior art, after the gluing process is completed, the quality control of the glue is mainly completed through 2D visual inspection. At present, 2D visual inspection of glue quality has replaced manual visual inspection as the mainstream process. 2D visual inspection means taking 2D images of the inspected product to complete product inspection. The main steps include: taking 2D images of the specified glue trajectory, and then performing image analysis. Judgment result; if the 2D visual inspection gives an alarm, the device does not act, and waits for ...

AI Technical Summary

Problems solved by technology

[0004] 1. The surface gloss of the product to be glued is inconsistent, making it difficult for 2D vision to accurately detect the glue quality, such as the bottom plate of the ECU product shell;

[0005] 2. The amount of glue on the glued product cannot be detected by 2D vision, because 2D vision cannot provide height information;

[0006] 3. The problem of visual inspection of product glue beats. Due to the large size of the product, 2D vision needs multiple inspections when a certain accuracy is met, resulting in the time consumption of servo movement pause detection

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