Target Classification System with Visual Alignment Aid
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Solution Overview
Problem
Accurate and rapid location and classification of targets in military or emergency response operations are challenging due to time-consuming manual methods, limited operational ranges of existing systems, and vulnerability to jamming or detection.
Innovation Solution
A target classification system with a user device featuring a visual alignment aid, pose sensor, and processor that receives user inputs to determine and tag target classifications, outputting targeting data for improved situational awareness, even in stressful or jammed environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual surveying and target classification methods are used, then operators can identify targets, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical surveying methods with an automated optical system. A camera captures images of targets, and a processor automatically classifies them using image analysis algorithms, eliminating the need for manual visual inspection and significantly reducing classification time
Solution Approach 2:
The system performs self-classification of targets through automated image processing. The processor analyzes captured images independently to determine target types, allowing the system to serve itself in the classification task without requiring continuous human intervention
2Area of stationary object
If multiple individuals or systems collect target data, then more comprehensive coverage is achieved, but data integration becomes difficult
Solution Approach 1:
The patent creates a universal data format that can receive and process target information from multiple different sources including various camera systems and input devices. The standardized classification framework allows diverse systems to contribute data without requiring complex integration protocols for each source
3Length of stationary object
If traditional targeting systems are used, then target location can be determined, but operational range is limited
Solution Approach 1:
The patent transitions from traditional two-dimensional planar targeting to three-dimensional spatial classification. By incorporating depth information and spatial coordinates into the classification system, the patent extends operational range while maintaining precision through volumetric target positioning and categorization
Data Source
AI summary
Examples are disclosed that relate to target classification systems, weapons, and methods for classifying a target. One example provides a target classification system comprising a user device, a user input device, a pose sensor fixed to the user device, a processor, and a memory storing instructions executable by the processor. A visual alignment aid indicates a line of sight to one or more of a plurality of targets. The user input device is configured to receive at least a first input type and a second input type. The instructions are executable to receive a user input and determine the pose of the line of sight. The one or more targets are tagged with a first target classification when the first input type is received and tagged with a second target classification when the second input type is received. The instructions are further executable to output targeting data to another device.