IP Phone Endpoint Sound Anomaly Detection
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Solution Overview
Problem
Deploying and maintaining acoustic analysis security systems in large facilities or public areas requires extensive resources due to the need for numerous remote sensors and the processing of complex audio data, which can overwhelm existing platforms.
Innovation Solution
A method utilizing communication endpoints, such as IP phones, to monitor sound pressure levels in low-power mode, classify anomalies, and communicate them to a sound classification module, either locally or in the cloud, to initiate responses, thereby reducing the burden on central processing units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If remote acoustic sensors are deployed to monitor large facilities, then monitoring coverage is improved, but device complexity and resource requirements increase
Solution Approach 1:
The patent applies multi-functionality by enabling IP phones to perform acoustic monitoring in addition to their primary telephony function. The endpoint device uses its existing microphone and processing capabilities to detect sound pressure levels and classify anomalies, eliminating the need for dedicated acoustic sensors and reducing overall system complexity while expanding monitored area coverage.
2Measurement precision
If acoustic analysis capacity is increased to process complex sound signals, then detection accuracy is improved, but processing capacity is overwhelmed
Solution Approach 1:
The patent segments the acoustic analysis workload by implementing sound pressure level monitoring and anomaly detection at the endpoint device itself, rather than centralizing all processing at a remote server. This distributed approach divides the processing task into smaller local operations (measuring SPL, comparing to thresholds) and reserves complex classification for when needed, preventing overload of central processing capacity while maintaining high detection accuracy.
3Area of stationary object
If numerous remote sensors are installed for acoustic monitoring, then monitoring coverage is improved, but installation and maintenance resources increase
Solution Approach 1:
The patent applies self-service by utilizing existing IP phone devices that are already deployed in the facility for their primary communication function. These phones automatically perform acoustic monitoring without requiring separate installation of dedicated sensors. The system leverages the phone's built-in microphone and processing capabilities, eliminating complex installation procedures while maintaining comprehensive monitored area coverage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for efficient monitoring and classification of sound anomalies with reduced resource requirements, enabling scalable and effective acoustic analysis without overwhelming processing capacities, even in large spaces.
Implementation Method 1
monitoring a sound pressure level with an endpoint
Data Source
AI summary
A method is provided in one example embodiment that includes monitoring a sound pressure level with an endpoint (e.g., an Internet Protocol (IP) phone), which is configured for communications involving end users; analyzing the sound pressure level to detect a sound anomaly; and communicating the sound anomaly to a sound classification module. The endpoint can be configured to operate in a low-power mode during the monitoring of the sound pressure level. In certain instances, the sound classification module is hosted by the endpoint. In other implementations, the sound classification module is hosted in a cloud network.