Biometric Verification UAV for Faster Person-of-Interest Tracking
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Solution Overview
Problem
Current unmanned aerial vehicle (UAV) systems lack the capability to verify or authenticate the identity of monitored subjects such as known criminals, fugitives, missing persons, and other persons of interest.
Innovation Solution
An improved UAV system equipped with a global positioning system (GPS) receiver, microphone, camera, and communications port, integrated with a computing system that includes a steering module, voice analysis module, facial recognition module, and payload deployment module, enabling location, identification, and tracking of persons of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional search methods (search dogs, helicopters, ground teams) are used to locate fugitives, then the search can cover large areas, but the time required increases exponentially and costs increase significantly
Solution Approach 1:
The patent transitions from ground-based and low-altitude aerial search to high-altitude unmanned aerial vehicle search, adding a vertical dimension to the search space. This enables coverage of large geographic areas while maintaining rapid response times, as the UAV can quickly traverse distances that would take ground teams much longer to cover on foot or by vehicle.
Solution Approach 2:
The patent replaces traditional mechanical search systems (search dogs, helicopters, ground teams) with an automated unmanned aerial vehicle system equipped with biometric verification capabilities. This substitution eliminates the need for large crews and extensive ground resources while reducing search time through automated flight paths and real-time biometric analysis.
2Measurement precision
If UAVs are equipped with multiple biometric verification modules (voice analysis, facial recognition), then identification accuracy improves, but device complexity increases
Solution Approach 1:
The patent integrates multiple biometric verification functions (facial recognition, voice analysis, iris detection) into a single UAV platform, allowing one system to perform multiple identification tasks. This multi-functionality approach consolidates what would otherwise require separate systems, managing complexity while enhancing identification accuracy through corroborating evidence from multiple biometric sources.
Solution Approach 2:
The patent combines multiple biometric verification modules into an integrated system on the UAV. By merging facial recognition, voice analysis, and iris detection capabilities into a single coordinated system, the patent achieves high identification accuracy while managing complexity through unified processing and centralized control architecture.
3Reliability
If real-time biometric verification is performed during flight, then subject identification is achieved, but energy consumption increases
Solution Approach 1:
The patent implements periodic biometric verification rather than continuous processing, analyzing biometric data at strategically determined intervals during flight. This periodic approach maintains identification reliability by verifying subjects at critical moments while significantly reducing computational load and energy consumption compared to continuous real-time analysis.
Solution Approach 2:
The patent applies biometric verification selectively to specific subjects or situations rather than processing all detected objects continuously. By focusing computational resources on partial verification of high-priority targets or using simplified verification methods initially, the system maintains reliability for critical identifications while conserving energy through reduced overall processing demands.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.