Subscriber Safety Control System for Real-Time Communication Monitoring
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Solution Overview
Problem
Existing electronic devices are vulnerable to safety concerns due to unauthorized or suspicious communications, particularly in unfamiliar environmental settings, which existing technologies fail to effectively detect and mitigate.
Innovation Solution
The Subscriber Safety Control (SSC) system analyzes real-time voice and text communications to infer safety concerns by monitoring communication sessions, generating a subscriber safety score, and sending notifications or terminating sessions based on predetermined thresholds, using voice biometrics, sensor data, and communication rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time communication monitoring is implemented to detect safety concerns, then user safety is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary safety monitoring system that acts as a mediator between users and communication platforms. This system analyzes communication patterns, metadata, and environmental context without requiring direct intervention in the core communication infrastructure, thereby improving safety while maintaining relatively simple system architecture.
Solution Approach 2:
The system implements continuous feedback loops where communication data is monitored, analyzed for safety concerns, and used to generate real-time alerts or interventions. This feedback mechanism enables proactive safety management without requiring complex preventive measures, as the system responds dynamically to detected threats.
2Measurement precision
If comprehensive communication analysis is performed to detect safety threats, then detection precision is improved, but processing time increases
Solution Approach 1:
The system applies partial analysis by focusing on specific safety-relevant features rather than analyzing all communication data in equal detail. It uses metadata analysis, pattern recognition, and contextual filtering to identify potential threats without performing exhaustive content analysis on every communication, thus maintaining detection precision while reducing processing time.
Solution Approach 2:
The communication analysis process is segmented into multiple stages: initial filtering based on metadata and communication patterns, intermediate analysis of suspicious elements, and detailed examination only of high-risk cases. This segmentation enables the system to process communications efficiently while maintaining high detection precision for actual threats.
Data Source
AI summary
Techniques are described that facilitate analyzing real-time communication sessions between a client device of a client account and a third-party device for the purpose of detecting safety concerns that may impact a client associated with the client device. The real-time communication sessions may include voice or text communications provisioned by a telecommunication service provider. In response to detecting a safety concern, notification data may be sent to a trusted device associated with the client account that alerts a trusted person of the inferred safety concern. In some examples, a safety concern may be inferred based on an irregular performance or non-performance of a regularly conducted real-time communication session. Moreover, communication session modification data may be sent to a client device involved in the real-time communication session for the purpose of terminating the real-time communication session based at least in part on safety concerns.