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

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...

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

Images