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Nut positioning detection method, device and system based on machine vision

A nut positioning and machine vision technology, applied in the field of image processing, can solve the problems of large number of model parameters, limited computing performance, weak generalization ability, etc., to achieve high detection accuracy, reduce detection time, improve positioning and detection speed and The effect of precision

Pending Publication Date: 2022-04-22
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

(1)~(3) have all achieved certain results, but these method models have a large number of parameters, weak generalization ability, and limited computational performance

Method used

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  • Nut positioning detection method, device and system based on machine vision
  • Nut positioning detection method, device and system based on machine vision
  • Nut positioning detection method, device and system based on machine vision

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] The purpose of the present invention is to provide a machine vision-based nut positioning detection method, device and system to improve the speed and accuracy of nut center positioning detection.

[0075] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0076] ...

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Abstract

The invention relates to a nut positioning detection method, device and system based on machine vision, and belongs to the technical field of image processing, a Retinex algorithm is adopted to perform image enhancement on an acquired to-be-detected nut image, and the influence of heavy fog, dark and other external complex environments on workpiece recognition precision is reduced; the method uses depth Hough transform to perform straight line detection on the hexagonal edge of the nut, has efficient context straight line information extraction capability, not only can obtain higher detection precision, but also can greatly reduce detection time consumption; meanwhile, the nut center point is found through the hexagonal constraint method, and the positioning detection speed and precision of the nut center are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a machine vision-based nut positioning detection method, device and system. Background technique [0002] As the transmission stage of my country's electric power industry, the safe operation of transmission lines is the key to ensuring power transmission. As a kind of fasteners, bolts and nuts are used to fix various hardware parts on the transmission line and connect various structural parts. They are the most numerous and widely available components on the transmission line. , which is very important to ensure the safety of power transmission. However, because the transmission line is in the outdoor environment all the year round and is affected by complex external forces for a long time, the bolts and nuts are easily loosened or lost. Once a certain bolt is damaged, there may be important hidden dangers such as leakage or even loosening of the line, which will affec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/80G06K9/62G06N3/04G06N3/08G06V10/764G06V10/82
CPCG06T7/0004G06T7/13G06T7/12G06T7/80G06N3/08G06T2207/20081G06T2207/20076G06T2207/30164G06N3/045G06F18/2321
Inventor 李冰张效铭王巍翟永杰杨耀权
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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