Abstract: 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 risk score for the property that has a value representing a risk of damage to the property, wherein the factors include an expected occupancy at the property and reservation data for the property.

Abstract: A noise monitoring device and a method of monitoring a location are disclosed. In one example, the noise monitoring device includes: (1) a microphone configured to detect noise proximate the noise monitoring device and derive raw data therefrom, and (2) a processor configured to determine when at least a portion of the raw data exceeds a threshold during a time period. In one example, the method of monitoring a location includes: (1) deriving raw data from noise proximate a noise monitoring device at the location, (2) comparing, for a designated period of time, at least a portion of the raw data to a threshold, and (3) determining an occurrence of an event at the location based on the comparing.

Abstract: A noise monitoring device and a method of monitoring a location are disclosed. In one example, the noise monitoring device includes: (1) a microphone configured to detect noise proximate the noise monitoring device and derive raw data therefrom, and (2) a processor configured to determine when at least a portion of the raw data exceeds a threshold during a time period. In one example, the method of monitoring a location includes: (1) deriving raw data from noise proximate a noise monitoring device at the location, (2) comparing, for a designated period of time, at least a portion of the raw data to a threshold, and (3) determining an occurrence of an event at the location based on the comparing.

Abstract: A noise detector, a method of detecting an event at a location, and an analysis/alert engine. In one embodiment, the method includes: (1) deriving a raw signal from noise proximate the noise detector and (2) generating a noise score from the raw signal, the noise score being insufficient to reproduce a content of the raw signal, (3) detecting a number of wireless devices at the location, and (4) determining occurrence of an event at the location based on the noise score and the number of wireless devices detected.

Abstract: A noise detector, a method of detecting an event at a location, and an analysis/alert engine. In one embodiment, the method includes: (1) deriving a raw signal from noise proximate the noise detector and (2) generating a noise score from the raw signal, the noise score being insufficient to reproduce a content of the raw signal, (3) detecting a number of wireless devices at the location, and (4) determining occurrence of an event at the location based on the noise score and the number of wireless devices detected.

Abstract: A noise detector, a method of detecting noise and an analysis/alert engine. In one embodiment, the noise detector includes: (1) a vibration sensor configured to derive a raw signal from noise proximate the noise detector and (2) a noise score generator, coupled to the vibration sensor, and having a processor configured to generate a noise score based on electrical properties of the raw signal and an ambient sound level that uniquely corresponds to a location of the noise detector, the noise score being insufficient to reproduce a content of the raw signal.

Abstract: A noise detector, a method of detecting noise and an analysis/alert engine. In one embodiment, the noise detector includes: (1) a vibration sensor configured to derive a raw signal from noise proximate the noise detector and (2) a noise score generator, coupled to the vibration sensor, and having a processor configured to generate a noise score based on electrical properties of the raw signal and an ambient sound level that uniquely corresponds to a location of the noise detector, the noise score being insufficient to reproduce a content of the raw signal.

Abstract: A noise detector, a method of detecting noise and an analysis/alert engine. In one embodiment, the noise detector includes: (1) a vibration sensor configured to derive a raw signal from noise proximate the noise detector and (2) a noise score generator having a processor and memory, coupled to the vibration sensor and configured to generate a noise score from the raw signal, the noise score being insufficient to reproduce a content of the raw signal.

Abstract: A noise detector, a method of detecting noise and an analysis/alert engine. In one embodiment, the noise detector includes: (1) a vibration sensor configured to derive a raw signal from noise proximate the noise detector and (2) a noise score generator having a processor and memory, coupled to the vibration sensor and configured to generate a noise score from the raw signal, the noise score being insufficient to reproduce a content of the raw signal.

Abstract: Techniques are presented for embedding testing and debugging features within a service. A user service is modified to include record and playback features. When a record feature is activated, actions and state transitions, which occur within the user service, are monitored and recorded. These actions and transitions are represented within a script. During playback, the actions and state transitions are automatically replayed within the user service by accessing operations of the user service that are represented or mapped within the script.

Abstract: A device for straightening and holding portions of apparel tending to lose their original configuration subsequent to extended ownership and use is provided.