Gasket size detection system and method based on machine vision, processing terminal and medium

Abstract

The invention discloses a gasket size detection system and method based on machine vision, a processing terminal and a medium, and relates to the technical field of gasket quality detection and visual optical design. In order to solve the problems that in the prior art, unqualified products cannot be removed in real time, random angle detection cannot be carried out, the method cannot adapt to actual production, the labor intensity is increased, and the maintenance cost is high in the prior art, the number of products in an image is judged, affine transformation is carried out on the products at the specific positions, and background interference is removed; secondly, the to-be-detected gasket is positioned, and the measured position of the to-be-detected gasket is subjected to contour extraction; and finally, the actual size of the to-be-detected gasket is calculated according to the proportional relation between the view field range of the image acquisition equipment and the image pixels. The problem of noisy points caused by optical interference is avoided; according to camera size detection, the placement direction of the workpiece is random, detection can be carried out when the workpiece exists in the collected image, position and angle correction is carried out on the detected object through an algorithm, and feeding consistency is achieved.

Description

technical field [0001] The invention relates to the technical fields of gasket quality detection and visual optical design, and in particular to a machine vision-based gasket size detection system, method, processing terminal and medium. It specifically relates to a system capable of image acquisition and quality inspection of gasket products through optical design. Background technique [0002] At present, gaskets are refined from high-precision, high-hardness sheet materials, and are usually used in the adjustment and measurement of precision molds or precision hardware. After the production is completed, it passes through the cleaning station and is transported to the inspection position by the conveyor belt. In order to ensure the smooth production of products, it is necessary to make accurate detection of the quality of each gasket. [0003] These include the following detection items: [0004] detection type unit Detection accuracy Location outer...

AI Technical Summary

Problems solved by technology

[0008] (1) In the existing technology, the size of each gasket produced on the assembly line cannot be measured efficiently, quickly and accurately, and unqualified products cannot be eliminated in real time

[0009] (2) The existing technology requires the gaskets to be placed in a uniform direction, which cannot be detected at random angles, and cannot be adapted to actual production, resulting in increased labor intensity and high maintenance costs in the existing technology

[0010] (3) In the prior art, manual detection is carried out on the same piece according to different people, and the results are not the same due to different detection methods, strength, proficiency, and fatigue, resulting in inaccurate detection data and easy to cause false detection missed detection

[0011] (4) In the existing technology, automatic detection cannot be fully realized, and manual participation is required in the inspection process, which increases labor costs

[0014] (2) The shapes of the gaskets are not the same. For some special-shaped gaskets, the detection position needs to be distinguished, but the direction of the gaskets entering the detection station is random. The problem to be solved is that for gaskets in any direction, the detection frame can be accurately positioned

Normal detection does not require manual participation. When an abnormal situation occurs, such as the elimination station fails to remove the product successfully, how to realize the self-inspection of the equipment is also a difficulty

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