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A screw positioning and recognition method based on machine vision

A screw positioning and machine vision technology, applied in the field of machine vision recognition, can solve problems such as the inability to meet the needs of mass production, and achieve the effect of good filling effect

Active Publication Date: 2022-05-20
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous development of my country's manufacturing industry, due to the complexity and diversity of disassembly work itself, the requirements for recognition technology in the automatic disassembly process are constantly improving, especially the recognition efficiency and recognition accuracy. Unable to meet the current mass production needs

Method used

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  • A screw positioning and recognition method based on machine vision
  • A screw positioning and recognition method based on machine vision
  • A screw positioning and recognition method based on machine vision

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Embodiment Construction

[0038] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0039] Such as figure 1 As shown, the machine vision-based screw location and recognition method includes the following steps:

[0040] S1. Acquiring image data of the target area and performing preprocessing on it to obtain first image data;

[0041] S2. Perform Hough transform on the first image data to obtain rough coordinates of the screw circle center;

[0042] S3. Collect the image at the rough coordinate position o...

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Abstract

The invention discloses a screw positioning and identification method based on machine vision, which comprises the following steps: S1, acquiring image data of a target area and preprocessing it to obtain first image data; S2, acquiring rough coordinates of the screw circle center ; S3, collect the image at the rough coordinate position of the screw center and preprocess it to obtain the second image data; S4, adopt the Hough transform and the least square method to obtain the center coordinates of the screw respectively for the second image, and combine the two The coordinates are arithmetically averaged to obtain the precise coordinates of the screw center, and the screw positioning is completed; S5, obtaining the image data of the screw head; S6, obtaining the shape characteristic data of the screw head; S7, combining the shape characteristic data of the screw head with the head of the existing screw The screw with the best matching result is used as the identification result of the screw to complete the screw identification. This method can automatically locate and identify screws.

Description

technical field [0001] The invention relates to the field of machine vision recognition, in particular to a machine vision-based screw positioning and recognition method. Background technique [0002] In recent years, with the rapid development of computer information technology, the level of intelligent manufacturing technology in my country has also been continuously improved, and the requirements for production efficiency in the industrial manufacturing industry have also been continuously improved. For the traditional process of manual disassembly and assembly of parts, its inefficiency is getting higher and higher. It is increasingly unable to meet the production needs of modern industry, and the application of industrial robots can greatly improve production efficiency. Therefore, in today's intelligent processing process, assembly lines are generally used for product processing and parts disassembly. In the production process, industrial robots replace workers' manual ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/181G06T7/62G06T7/80G06T5/00G06T5/30G01B11/00G01B11/24
CPCG06T7/0004G06T7/13G06T7/181G06T7/62G06T5/30G06T7/80G01B11/002G01B11/24G06T2207/10004G06T2207/30164G06T5/80Y02P90/30
Inventor 陈天星李响冯芳
Owner SOUTHWEST JIAOTONG UNIV
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