Optical Recognition System for Shooting Simulation Target Validation
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Solution Overview
Problem
Existing shooting simulation systems lack the capability to accurately simulate firearm use scenarios beyond multiple-player games, particularly for preventing fratricide in combat situations by effectively identifying and distinguishing between friendly and hostile targets using optical recognition systems.
Innovation Solution
A shooting simulation system that employs a combination of optical and image recognition technologies integrated with firearms, user computers, and central computing systems to capture and analyze images of targets, determining hits or misses based on trajectory calculations and target validation using indicia, infrared emissions, and spectral imaging, allowing for accurate identification of legitimate targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional shooting simulation systems are used, then multiple-player games can be simulated, but the system cannot accurately identify and distinguish between friendly and hostile targets in combat situations
Solution Approach 1:
The optical recognition system is designed to serve multiple functions: it can distinguish between friendly and hostile targets through image analysis, calculate bullet trajectories, and validate hits or misses. This universal system replaces multiple specialized systems, enabling accurate target identification across various combat scenarios while maintaining system versatility.
Solution Approach 2:
The patent introduces an optical recognition system as an intermediary between the firearm and the target. This intermediary captures images, analyzes target characteristics, and provides verification data to determine whether a shot is a valid hit or miss, thereby enabling accurate distinction between friendly and hostile targets without requiring active emissions from targets.
2Reliability
If active target emissions are required for detection, then target detection can be achieved, but equipment costs and system complexity increase
Solution Approach 1:
The optical recognition system performs self-service by capturing and processing images locally without requiring targets to emit active signals. The system uses passive optical detection to identify targets, calculate trajectories, and verify hits, eliminating the need for complex active emission systems on both the detecting and target sides.
Solution Approach 2:
The patent replaces complex mechanical or electronic active emission systems with an optical recognition system that uses light-based image capture and analysis. This substitution simplifies the overall system by using optical fields instead of mechanical or electronic emission mechanisms, reducing both complexity and cost while maintaining reliable target detection.
3Measurement precision
If comprehensive image analysis is performed to determine legitimate targets, then target validation accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The optical recognition system performs preliminary actions by capturing images and pre-processing visual data before the shot is fired. The system analyzes target characteristics, calculates anticipated trajectories, and prepares validation criteria in advance, allowing for rapid determination of hit or miss status without requiring extensive post-shot computational analysis.
Solution Approach 2:
The system applies partial action by focusing image analysis on critical features only—such as target shape, size, and distinctive markings—rather than performing exhaustive analysis of all image data. This selective approach maintains high validation accuracy while minimizing processing time and computational resource requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient simulation of firearm use in various scenarios, including combat, by reducing equipment costs and eliminating the need for active target emissions, providing a lightweight and cost-effective solution for both recreational and operational applications.
Implementation Method 1
an optical system associated with the firearm for capturing an image. The image provides information on a trajectory of a simulated bullet fired from a shooting firearm
Implementation Method 2
using indicia, infrared emissions, and spectral imaging, allowing for accurate identification of legitimate targets
Implementation Method 3
using indicia, infrared emissions, and spectral imaging, allowing for accurate identification of legitimate targets
Data Source
AI summary
A shooting simulation system and method. The system a firearm held by a user. In addition, the user has a user computer and an optical system associated with the firearm for capturing an image. The image provides information on a trajectory of a simulated bullet fired from a shooting firearm. The optical system is aligned relative to a known sight of the shooting firearm. The optical system captures the image when a trigger of the shooting firearm is pulled. The system also includes an image recognition system for determining if the captured image is a legitimate target. The user computer determines if the captured image is a hit or a miss of the target using only information obtained from the optical system and image recognition system for determining if the captured image is a hit or a miss of a target.