Customer experience diagnostics in premises monitoring systems

    公开(公告)号:US12073707B2

    公开(公告)日:2024-08-27

    申请号:US18063789

    申请日:2022-12-09

    CPC classification number: G08B29/16 G08B21/182

    Abstract: Method, devices and systems are described. A diagnostics system for a premises monitoring system at a premises is provided. The diagnostic system includes processing circuitry configured to: receive premises system data associated with the premises monitoring system, perform supervised learning of a deep learning process based at least in part on the premises system data, and determine a classified set of resolutions based at least in part on the performed supervised learning where each resolution of the classified set of resolutions is associated with at least one premises event, and the at least one premises event relates to the premises monitoring system.

    Portable system for managing events

    公开(公告)号:US10755372B2

    公开(公告)日:2020-08-25

    申请号:US16432425

    申请日:2019-06-05

    Abstract: A system for interacting with a portable device is provided. The system is configured to process both personal and premises events, and includes at least one processor configured to generate device data for determining the location of the portable device and process sensor data in response to an event. The processor is further configured to generate situational data for the processed event. The situational data is based on the sensor data and the device data. The situational data includes information indicative of whether the event is an alarm event and if the event is the alarm event, whether the alarm event is one of a personal event and premises event. The processor is further configured to provide at least a portion of the situational data to the remote service site if the event is the alarm event and determine that confirmation has been received.

    Determining areas of interest in video based at least on a user's interactions with the video

    公开(公告)号:US12236764B2

    公开(公告)日:2025-02-25

    申请号:US18482531

    申请日:2023-10-06

    Inventor: Shy Ward

    Abstract: According to one or more embodiments, an interaction device is provided. The interaction device includes processing circuitry configured to render for display a first premises security video comprising a plurality of frames, determine a user interaction with a playback of the first premises security video, determine a plurality of logical weights associated with the plurality of frames based at least on the user interaction, train a machine learning model based at least on the plurality of logical weights, and perform a premises security system action based at least on the trained machine learning model.

    Portable system for managing events

    公开(公告)号:US10354351B2

    公开(公告)日:2019-07-16

    申请号:US16055417

    申请日:2018-08-06

    Abstract: A system for interacting with a portable device is provided. The system is configured to process both personal and premises events, and includes at least one processor configured to generate device data for determining the location of the portable device and process sensor data in response to an event. The processor is further configured to generate situational data for the processed event. The situational data is based on the sensor data and the device data. The situational data includes information indicative of whether the event is an alarm event and if the event is the alarm event, whether the alarm event is one of a personal event and premises event. The processor is further configured to provide at least a portion of the situational data to the remote service site if the event is the alarm event and determine that confirmation has been received.

    Machine learning model inference using user-created machine learning models while maintaining user privacy

    公开(公告)号:US12073606B1

    公开(公告)日:2024-08-27

    申请号:US18587450

    申请日:2024-02-26

    Inventor: Shy Ward

    Abstract: A server system is described. The server system includes at least one processor and at least one memory storing a plurality of instructions that, when executed by the at least one processor, causes the at least one processor to receive a plurality of machine learning (ML) models and ML model data from the plurality of mobile computing devices, where the ML model data includes metadata, and the ML model data excludes media. At least one group of the plurality of ML models is selected based on the metadata, each ML model of the at least one group tested, and a plurality of metrics is determined based on the ML models that were tested. Further, a set of ML models of the ML models that were tested is selected, and at least two ML models of the set of ML models are combined based on at least one parameter.

    Machine learning model inference using user-created machine learning models while maintaining user privacy

    公开(公告)号:US11948346B1

    公开(公告)日:2024-04-02

    申请号:US18339648

    申请日:2023-06-22

    Inventor: Shy Ward

    Abstract: A server system is described. The server system includes at least one processor and at least one memory storing a plurality of instructions that, when executed by the at least one processor, causes the at least one processor to receive a plurality of machine learning (ML) models and ML model data from the plurality of mobile computing devices, where the ML model data includes metadata, and the ML model data excludes media. At least one group of the plurality of ML models is selected based on the metadata, each ML model of the at least one group tested, and a plurality of metrics is determined based on the ML models that were tested. Further, a set of ML models of the ML models that were tested is selected, and at least two ML models of the set of ML models are combined based on at least one parameter.

    Premises monitoring using acoustic models of premises

    公开(公告)号:US11941959B2

    公开(公告)日:2024-03-26

    申请号:US17986503

    申请日:2022-11-14

    CPC classification number: G08B13/1609 G08B13/08

    Abstract: According to some embodiments, a control device for a premises security system that is configured to monitor a premises using a plurality of premises devices is provided. The control device is configured to obtain a plurality of acoustic samples for the premises, detect a sound anomaly in at least one of the plurality of acoustic samples, obtain a verification that the sound anomaly is expected, generate an acoustic model for the premises based at least on the plurality of acoustic samples and the verification that the sound anomaly is expected, receive data representing a detected sound during monitoring of the premises, compare the detected sound with the acoustic model for the premises to determine that the detected sound is unexpected, and initiate a premises security system alert based at least on the detected sound being unexpected.

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