Video Target Scoring for Real-Time Bullet Hole Detection
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Solution Overview
Problem
Existing systems lack an efficient and accurate method to manage and control target shooting sessions, particularly in recreational and competitive environments, by accurately detecting projectile penetration and scoring in real-time, which is crucial for improving skills and recording competition results.
Innovation Solution
A detection system that processes video streams from a camera to analyze projectile penetration, using image processing and deep learning to identify bullet holes, correct geometric distortions, and recognize 'hole-in-hole' hits, integrated with a user computing device to display real-time scoring and statistics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video stream processing is used to detect projectile penetration in real-time, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical detection systems with video stream processing and image analysis algorithms. The system uses standard video cameras and computational image processing to detect projectile penetration, eliminating the need for specialized mechanical sensors or complex detection hardware while maintaining high measurement precision.
Solution Approach 2:
The system creates a digital copy of the target and projectile penetration events through video frame capture and image processing. By analyzing sequential video frames to detect changes in target appearance, the system accurately records penetration events without requiring direct physical interaction between detectors and the target, thus reducing hardware complexity.
2Productivity
If real-time video frame processing is implemented, then productivity is improved, but use of energy increases
Solution Approach 1:
The system processes only the necessary portions of video frames required for penetration detection rather than analyzing every pixel in every frame. By focusing computational resources on detecting specific changes (projectile impacts) rather than complete frame analysis, the system achieves real-time scoring while minimizing energy consumption.
Solution Approach 2:
The system uses periodic video frame capture at optimized intervals rather than continuous processing. By analyzing frames at specific time intervals and only when penetration events are likely to occur, the system maintains real-time scoring capability while reducing overall computational energy requirements compared to continuous full-frame processing.
Data Source
AI summary
A method for managing and controlling a target shooting session includes initiating the target shooting session includes receiving a stream of video frames; displaying a graphic image representative of the target; processing the stream of video frames to generate a series of video images; processing the series of video images to detect a target area exhibiting a difference; analyzing the target area in the consecutive video images to determine if the difference is representative of target penetration; updating the graphic image to show a graphic target penetration; determining a participant score; and updating the graphic image on the display device to show the participant score. A system for managing and controlling a target shooting session includes a target assembly, a video camera, and a user computing device. In another embodiment, the system includes a target assembly, a video camera, and a non-transitory computer-readable medium storing a target shooting application program.