Target practice scoring method based on machine vision

A machine vision, target paper technology, applied in the direction of target, target indication system, offensive equipment, etc., can solve the problems of low scoring efficiency and low scoring accuracy, and achieve the effect of improving scoring efficiency and improving recognition accuracy.

Pending Publication Date: 2021-04-27
WUHU HIT ROBOT TECH RES INST
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In traditional shooting scoring, after the shooter shoots the target paper, he usually manually identifies the ring where the target is located, and counts the score, which has the problems of low scoring efficiency and relatively low accuracy of manual scoring

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target practice scoring method based on machine vision
  • Target practice scoring method based on machine vision
  • Target practice scoring method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The specific implementation of the present invention will be described in further detail below by describing the embodiments with reference to the accompanying drawings, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0030] figure 1 The flow chart of the scoring method based on machine vision provided by the embodiment of the present invention, the method specifically includes the following steps:

[0031] S1. Collect the image of the target paper before shooting, and perform binarization to obtain the binarized image I;

[0032] The target paper before shooting is intact, and the image of the target paper before shooting is collected by an industrial camera, such as figure 2 As shown in , the target paper image is subjected to binarization processing, morphological processing of erosion and then expansion in sequence, and image preprocessing...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a target practice scoring method based on machine vision. The method comprises the following steps of S1, acquiring a target paper image before shooting, and acquiring a radius value of each target ring line on target paper; S2, acquiring a target paper image after shooting, and determining a radius interval where the center of a circle of a shooting hole is located; and S3, counting the total score of the target practice on the basis of the score value defined by each radius interval. The recognition precision of the target ring where the shooting hole is located is improved, meanwhile, automatic scoring of target practice is achieved, and the scoring efficiency of target practice is improved.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and more specifically, the invention relates to a scoring method for shooting targets based on machine vision. Background technique [0002] In traditional shooting scoring, after the shooter shoots the target paper, he usually manually identifies the ring where the target is located and counts the scores, which has the problems of low scoring efficiency and relatively low accuracy of manual scoring. Contents of the invention [0003] The present invention provides a scoring method for shooting targets based on machine vision, aiming to improve the above problems. [0004] The present invention is achieved like this, a kind of target scoring method based on machine vision, described method specifically comprises the following steps: [0005] S1. Collect the image of the target paper before shooting, and obtain the radius value of each target ring line on the target paper; [0006] S2. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): F41J5/10
CPCF41J5/10
Inventor 于福才徐昌军邱羽樊璇陶贤水曹雏清高云峰李增涛
Owner WUHU HIT ROBOT TECH RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap