Intelligent Target Reporting System and Method Based on Multiple Bullet Hole Pattern Recognition Algorithm

Abstract

The invention provides an intelligent target reporting system and method based on a multi-bullet hole pattern recognition algorithm. The system includes a voice-activated sensor, a group of intelligent cameras, a monitoring computer and a mobile client. The intelligent camera is arranged in front of the target, and the shooting signal triggers the intelligent camera through the voice-activated sensor. Collect images, use the target surface positioning correction algorithm, multi-bullet hole recognition and classification algorithm, and target reporting and scoring algorithm to obtain real-time bullet hole types and shooting score information, and upload the information to the monitoring computer and mobile client through its internal WIFI module. The client performs voice target reporting, and the monitoring computer then displays the shooting score information of each shooter in real time, and provides a user interface for statistical query and intelligent management of the shooting information; the shooting target reporting of each target in the present invention is independent of each other and does not depend on the monitoring computer. The structure is simple, safe and reliable. At the same time, the proposed pattern recognition method has strong anti-interference ability, high bullet hole recognition rate, real-time performance and accuracy.

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

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