Anonymized Noise Scoring for Privacy-Safe Property Risk Alerts
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Solution Overview
Problem
Homestay networks face issues such as property damage, vandalism, and noise-related incidents due to over occupancy or inappropriate use, necessitating a system to identify noise risks without compromising guest privacy or violating eavesdropping laws.
Innovation Solution
A system and method for generating alerts based on noise using noise detectors that convert sound into anonymized data to identify noise risks, combining with environmental sensors and reservation data to determine occupancy and generate alerts without reproducing sound content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise detectors are used to monitor property for noise-related incidents, then property protection and disturbance management are improved, but guest privacy and potential eavesdropping concerns worsen
Solution Approach 1:
The patent extracts only the essential noise characteristics (amplitude, duration, frequency patterns) from the acoustic environment while deliberately excluding any information that would allow reproduction of actual sound content. The noise score is designed to capture disturbance metrics without capturing eavesdroppable information, thus protecting guest privacy while maintaining property protection capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer (the noise score calculation system) that stands between the raw acoustic environment and the monitoring system. This intermediary transforms acoustic signals into anonymized numerical scores that indicate disturbance levels without revealing any actual sound content, thereby mediating between property protection needs and privacy concerns
2Measurement precision
If multiple noise detectors with different threshold amplitudes are deployed, then noise detection accuracy and coverage are improved, but device complexity increases
Solution Approach 1:
The patent applies different threshold amplitudes to different noise detectors based on their specific locations and acoustic environments within the property. Each detector is optimized for its local conditions, allowing accurate detection of noise events in diverse areas (e.g., bedrooms vs. living areas) while the centralized processing system manages the complexity of coordinating multiple detectors with varying thresholds
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
Effectively identifies noise risks and generates alerts to protect property without eavesdropping, allowing hosts to manage disturbances while respecting guest privacy and adhering to legal standards.
Implementation Method 1
multiple noise detectors derive at least one raw signal from noise proximate one noise detector
Data Source
AI summary
The disclosure relates to using anonymized audio data for monitoring properties. Disclosed herein are monitoring systems for properties and a method of monitoring properties. One example of a method of monitoring a property includes: (1) deriving at least one raw signal from noise proximate one or more noise detectors at the property, (2) generating a noise score from the at least one raw signal, the noise score being insufficient to reproduce a content of the raw signal, and (3) generating, based on the noise score and at least one or more other factors, a value representing a risk of damage to the property, wherein the one or more other factors include environmental data from at least one smoke sensor at the property.