Integrating Wireless Location with Facial and Speaker Recognition
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Solution Overview
Problem
Facial and speaker recognition systems lack the ability to effectively utilize location information to enhance identification accuracy, particularly in scenarios where multiple individuals share similar features.
Innovation Solution
An integrated wireless location and facial/speaker recognition system that processes photographs and audio samples from fixed and mobile devices, incorporating location data to refine identification assessments by comparing estimated terminal locations with the locations captured in images or audio samples, thereby improving recognition accuracy through a feedback mechanism that updates recognition algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition and speaker recognition systems are used independently, then the recognition process is simple, but the identification accuracy is insufficient when multiple individuals share similar features
Solution Approach 1:
The patent combines facial recognition, speaker recognition, and wireless location systems into an integrated identification system. The system merges multiple independent recognition subsystems into a unified framework where they work together to improve identification accuracy. The data processing system receives inputs from all three sources and generates a composite assessment that leverages the strengths of each subsystem while compensating for their individual weaknesses.
Solution Approach 2:
The integrated system performs multiple functions simultaneously: facial feature analysis, speaker voice print matching, and location data processing. This multi-functional approach allows a single system to address various aspects of identification (visual, auditory, and spatial) that individually would require separate systems, thereby improving accuracy without proportionally increasing complexity.
2Measurement precision
If location information is integrated into the recognition system, then identification accuracy improves, but the system complexity increases
Solution Approach 1:
The patent introduces a data processing system that acts as an intermediary between the facial recognition system, speaker recognition system, and wireless location system. This intermediary component receives assessments from each subsystem, retrieves location information from databases, and synthesizes a new integrated assessment. The intermediary manages the complexity of integration by providing a standardized interface and coordination mechanism between the different subsystems.
Solution Approach 2:
The system implements a feedback mechanism where the data processing system receives initial assessments from facial and speaker recognition systems, cross-references them with location information, and generates refined assessments that feed back into the identification process. This feedback loop allows the system to iteratively improve identification accuracy by incorporating location-based verification and eliminating false positives that fail location consistency checks.
Data Source
AI summary
An integrated wireless location and facial/speaker-recognition system that provides distinct advantages over facial-recognition systems and speaker-recognition systems of the prior art is disclosed. The integrated system is capable of using information from a wireless location system to improve the performance of the facial recognition and speaker recognition. The system is capable of processing photographs and/or audio samples captured by a camera/microphone at a fixed location (e.g., a digital pan-zoom-tilt (PZT) surveillance camera, etc.) as well as those captured by a mobile camera/microphone (e.g., a digital camera and microphone in a smartphone, etc.). The system also features a feedback mechanism by which the location-informed results can be used to improve the system's recognition abilities.