Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Intelligent target scoring system and method based on multi-bullet-hole mode recognition algorithm

A pattern recognition algorithm and bullet hole technology, applied in character and pattern recognition, target indication system, target, etc., can solve the problems of non-reusable use, large amount of image data transmission, low degree of intelligence, etc., and achieve real-time recognition and classification, The effect of simple control tasks and small amount of data transmission

Inactive Publication Date: 2017-06-06
XI AN JIAOTONG UNIV
View PDF5 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional automatic target reporting for military shooting mainly relies on mechanical measurement systems such as double-layer electrode short-circuit sampling system, acoustic-electric positioning automatic target reporting system, photoelectric electronic target system, etc. These systems have complex hardware structures, requiring special targets and Not reusable, high cost, poor adaptability
In recent years, the automatic target reporting system based on image processing technology has developed rapidly. Although the hardware structure has been simplified and automatic target reporting can basically be realized, the current target reporting image processing technology mainly relies on the monitoring computer for image processing and target reporting control. Image data The transmission volume is large, the computer data processing and control tasks are heavy, each target position cannot achieve independent target reporting, the degree of intelligence is low, and the layout is cumbersome
In addition, the existing image processing algorithm of the automatic target reporting system only studies the single bullet hole recognition of the system, and does not propose an effective solution for the single bullet hole and double bullet hole recognition classification in the multiple bullet holes, which is not universal. Both adaptability and accuracy need to be improved

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
  • Intelligent target scoring system and method based on multi-bullet-hole mode recognition algorithm
  • Intelligent target scoring system and method based on multi-bullet-hole mode recognition algorithm
  • Intelligent target scoring system and method based on multi-bullet-hole mode recognition algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0038] (1) Construction of intelligent target reporting system

[0039] The hardware system architecture diagram of the present invention is as follows figure 1As shown, it includes targets, swarm smart cameras, voice-activated sensors, wireless routers, monitoring computers and mobile clients, forming a star-shaped local area network through Internet of Things technology. The intelligent target reporting system includes multiple targets, and the distance between each target is not less than 5 meters. Multiple smart cameras are distributed and arranged on the ground 2 meters in front of each target. Each smart camera is equipped with a sound-activated sensor peripheral to form the target reporting front end. The output end of the sound-activated sensor is connected to the digital I / O interface of the smart camera to receive the shooting sound s...

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 provides an intelligent target scoring system and method based on a multi-bullet-hole mode recognition algorithm. The system comprises a sound control sensor, a swarm intelligence camera, a supervisory control computer and a mobile client. The intelligence camera is arranged in front of targets. Shooting signals trigger the intelligence camera to collect images through the sound control sensor. A target surface positioning correction algorithm, a multi-bullet-hole recognition sorting algorithm and a target scoring algorithm are used for acquiring the bullet hole type and shooting scoring information in real time, and then the information is uploaded to the supervisory control computer and the mobile client through an internal WIFI module. The mobile client conducts voice target scoring, the supervisory control computer displays the shooting scoring information of each shooter in real time, and a user interface is provided for performing statistical query and intelligent management on the shooting information. According to the intelligent target scoring system and method, shooting target scoring of each target is independent and does not depend on the supervisory control computer, the structure is simple, and safety and reliability are achieved; and meanwhile, the provided mode recognition method is high in antijamming capability, the bullet hole recognition rate is high and real-time performance and accuracy can be achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent devices and pattern recognition, and in particular relates to a multi-bullet hole pattern recognition method and an intelligent target reporting system and method based on the method. Background technique [0002] With the development of science and technology, intelligent devices combined with pattern recognition are gradually replacing manual operations and are rapidly integrating into the military field. Traditional automatic target reporting for military shooting mainly relies on mechanical measurement systems such as double-layer electrode short-circuit sampling system, acoustic-electric positioning automatic target reporting system, photoelectric electronic target system, etc. These systems have complex hardware structures, requiring special targets and Can not be reused, high cost, poor adaptability. In recent years, the automatic target reporting system based on image processing techn...

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): F41J5/10F41J5/14G06K9/32G06K9/46G06T7/12G06T7/136G06T7/73G06T7/62
CPCF41J5/10F41J5/14G06T2207/10004G06V10/25G06V10/44
Inventor 韩九强罗娟钟德星
Owner XI AN JIAOTONG UNIV
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
Eureka Blog
Learn More
PatSnap group products