Biometric Call Monitoring for Unauthorized Party Detection
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Solution Overview
Problem
Existing call processing systems in controlled environments, such as correctional facilities, face challenges in detecting unauthorized activities like three-way calls and call handoffs, especially in VoIP networks, where traditional signal monitoring methods are inaccurate and fail to identify changes in call parties effectively.
Innovation Solution
The use of biometric identification, such as voice or face printing, to monitor calls and detect anomalies by capturing and comparing biometric data of authorized parties during communication, allowing for real-time detection of unauthorized parties joining or taking over calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional signal monitoring methods are used to detect call anomalies, then the system complexity remains low, but the detection precision is insufficient and cannot accurately identify changes in call parties
Solution Approach 1:
The patent replaces traditional mechanical signal monitoring methods with biometric identification technology (voice printing). Instead of analyzing call signaling patterns, the system captures and analyzes voice biometrics of call participants, substituting a fundamentally different technical approach that provides superior detection precision while maintaining manageable system complexity through standardized biometric processing algorithms.
Solution Approach 2:
The patent changes the detection parameter from call signaling characteristics to voice biometric parameters. By monitoring changes in voice print characteristics (spectral features, formant frequencies, temporal patterns) rather than traditional call signals, the system achieves accurate detection of call party changes even in VoIP environments where traditional signaling is obscured or modified.
2Measurement precision
If biometric identification is implemented to detect call anomalies, then the detection precision improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs biometric identification at the beginning of the call to establish a baseline voice print of the authorized party. This preliminary action creates a reference template that enables rapid comparison during the call without requiring continuous heavy processing, thus reducing overall processing time while maintaining high detection precision.
Solution Approach 2:
The system performs biometric comparison at strategically selected moments during the call rather than continuously analyzing every audio sample. By sampling voice characteristics at key intervals (e.g., when call party changes are suspected), the system achieves adequate detection precision with reduced computational burden and processing time compared to continuous full-analysis approaches.
3Reliability
If continuous biometric monitoring is performed during calls, then the reliability of call screening is improved, but the energy consumption and system resources increase
Solution Approach 1:
The patent implements periodic biometric monitoring at intervals during the call rather than continuous monitoring. The system periodically compares current voice samples against the baseline biometric template, maintaining call screening reliability by detecting anomalies at regular intervals while significantly reducing energy consumption compared to uninterrupted continuous analysis.
Solution Approach 2:
The system uses the existing call audio stream for biometric analysis without requiring separate dedicated recording or processing channels. By leveraging the already-captured voice data from the call itself, the system performs self-service biometric verification, minimizing additional energy requirements while maintaining reliable detection capability.
Data Source
AI summary
Embodiments of the present invention are directed generally to use of biometric identification during a call for detecting an anomaly occurring in the call, such as a change in the parties participating on the call. Communication between parties of a call is monitored and biometric identification is performed using the communication. According to one exemplary embodiment, biometric prints, such as voice prints, face prints, etc., are obtained for parties that are authorized to participate on a call. The call is then monitored and biometric data (e.g., audio, video, etc.) captured from communication during the call is compared with the biometric prints of the authorized parties to detect changes in the parties participating on the call, such as a new, unauthorized party joining the call. Thus, a call processing system can detect anomalies occurring during monitored calls, such as three-way calling, a handoff of a call, etc.