Visual information adaptive adjustment method and device, welding equipment and storage medium

Abstract

The invention discloses a visual information self-adaptive adjustment method and device, welding equipment and a storage medium. The visual information adaptive adjustment method is used for capturing a target feature in an object, and comprises the following steps: determining an original shooting parameter of the target feature; performing first shooting correction based on the original shooting parameters and acquiring an object image, and determining preliminary correction shooting parameters based on the object image; performing second shooting correction based on the preliminary correction shooting parameter to determine a target shooting parameter; and capturing the target feature in the object based on the target shooting parameter. According to the visual information self-adaptive adjustment method and device, the welding equipment and the storage medium, the target features of objects with different appearance differences such as different batches, different textures and different colors can be captured in a self-adaptive mode for welding, the target feature capture rate of the objects is high, and the subsequent welding quality and the welding efficiency are improved.

Description

technical field [0001] The present application relates to the technical field of machine vision, and in particular to a method, device, welding equipment and storage medium for self-adaptive adjustment of visual information. Background technique [0002] In the prior art, before welding the flange with studs to the metal plate, the laser welding equipment generally needs to capture the flange with a CCD camera to determine the position of the flange. The flange emits laser light to weld the flange to the metal plate. The traditional method of finding the boundary of the flange is usually to manually adjust the exposure value and camera gain first, and then the operator visually judges that the image clarity is appropriate, and then manually selects the flange boundary as a template to capture the exposure value and gain captured by the stud boundary. The isothreshold is relatively fixed. [0003] The traditional boundary capture method has the following defects: the operat...

AI Technical Summary

Problems solved by technology

[0003] The traditional boundary capture method has the following defects: the visual judgment of the operator leads to large errors; in the template captured by the CCD camera, due to the color difference of different batches and different flanges, the compatibility of the CCD camera capture is not strong, and it cannot be used for all Effective boundary recognition of the flange; due to the relatively fixed boundary capture threshold, if there are differences in the color and surface texture of the flange, it will easily lead to CCD capture failure, and it will also trigger the automatic throwing of welding equipment, resulting in low welding efficiency

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