Visual welding seam surface quality detection sensor based on line structure light

Abstract

The invention discloses a visual welding seam surface quality real-time on-line detection sensor based on line structure light, comprising sensing units and an image processing unit, wherein two sensing units are respectively vertically installed at two sides of the upper and lower surfaces of the welding seam and connected with the image processing unit; the sensing units comprise a video camera for receiving the welding seam surface gray scale image including laser stripe formed on the welding work piece; a straight linear laser for generating laser structure light stripe on the welding work piece; an optical filter in front of the video camera lens; and an LED annular light source coaxially provided with the video camera and positioned in front of the optical filter. The invention uses the straight linear laser to project onto the upper and lower surfaces of the welding seam to generate the laser stripes; the camera collects the welding seam surface gray scale image including laser stripes to finally realize automatic quality detection of the upper and lower surfaces of the welding seam; and the precision of surface quality detection of the welding seam is improved. The sensor can be widely applied to the fields such as robot automatic welding.

Description

technical field [0001] The invention relates to the technical field of welding quality automatic detection, in particular to a sensor based on the principle of computer vision measurement, which acquires images of weld seams through visual sensors and uses image processing technology to identify defects in the surface quality of weld seams. The sensor can be widely used in robotic automatic welding and other fields. Background technique [0002] In the manufacturing industry, welding is the basis of many manufacturing methods. The quality of welding directly determines the reliability of products. Therefore, weld quality inspection is an important means to ensure welding quality, and has a wide demand in the field of welding. [0003] At present, the existing implementation schemes for weld quality inspection mainly include destructive inspection and non-destructive inspection. Among them, destructive inspections such as cupping, stretching, corrosion, and metallurgy have hi...

AI Technical Summary

Problems solved by technology

A typical system that applies computer vision to weld surface quality inspection, such as the weld surface quality inspection system of Canada’s ServoRobot, uses the principle of structured light triangulation to identify weld quality. Since it can only obtain laser stripes that reflect the geometric outline of the weld, Therefore, it is not possible to detect the weld width of eq

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