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    Aggregating sensor data for environment conditions
    3.
    发明授权
    Aggregating sensor data for environment conditions 有权

    公开(公告)号：US11067718B1

    公开(公告)日：2021-07-20

    申请号：US16008554

    申请日：2018-06-14

    Applicant: Amazon Technologies, Inc.

    Inventor： Charles Edwin Ashton Brett ,  Aniruddha Basak ,  Zeya Chen ,  Sara Parker Hillenmeyer ,  Lizhen Peng ,  Yunfeng Jiang ,  William Evan Welbourne ,  Jay Patel ,  Sven Eberhardt

    IPC: G01W1/00 ,  G01W1/02 ,  H04W4/38

    Abstract: Described are systems, methods, and apparatus that gathers environment condition data from different sensors at various locations within an area, aggregates the environment condition data to produce aggregated environment condition scores for the area and provides the aggregated environment condition scores to different locations within the area. While sensor data from a single sensor/device, such as a camera may provide low quality environment information, by collecting and aggregating information from multiple sensors and/or locations in the area, highly accurate aggregated environment condition scores for environment conditions may be realized. The aggregated environment condition scores may be provided to various locations within the area as representative of the environment condition at that point in time within the area, regardless of whether those locations have sensors. The aggregated environment condition scores may be used by other devices at those locations to automate one or more actions, such as adjusting lighting conditions, closing garage doors, adjusting window blind positions, etc.

    STATE PREDICTION OF DEVICES
    4.
    发明申请
    STATE PREDICTION OF DEVICES 审中-公开

    公开(公告)号：US20200090068A1

    公开(公告)日：2020-03-19

    申请号：US16133308

    申请日：2018-09-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Charles Edwin Ashton Brett ,  Sara Parker Hillenmeyer ,  Sven Eberhardt ,  William Evan Welbourne ,  Aniruddha Basak ,  Lizhen Peng

    IPC: G06N7/00 ,  G06N5/04 ,  G06K9/62 ,  G06F3/0484

    Abstract: Systems and methods for state prediction of devices are disclosed. A group of reference devices may be identified and a subset of the reference devices may be identified and/or determined based at least in part on a degree of similarity between reference usage-patterns associated with the reference devices and a usage pattern of a target device. The current state of the subset of the reference devices may be determined and may be utilized to determine a probability that the target device should be in a given state. The state prediction information may be utilized for one or more actions, such as sending recommendations, target inference operations, and/or device configuration, for example.

    Automated device grouping
    10.
    发明授权
    Automated device grouping 有权

    公开(公告)号：US11240641B1

    公开(公告)日：2022-02-01

    申请号：US17096357

    申请日：2020-11-12

    Applicant: Amazon Technologies, Inc.

    Inventor： Sven Eberhardt ,  Shekhar Pareek ,  Aniruddha Basak ,  Charles Edwin Ashton Brett ,  Amir Salimi

    IPC: H04W4/08 ,  H04W8/00 ,  H04W8/18 ,  H04W8/22 ,  H04W8/26 ,  H04L29/08

    Abstract: Techniques for automatically combining devices into a single group of devices, and splitting devices into multiple groups of devices are described. A machine learning model may process device profile data, associated with devices registered to two different users, and determine the devices should be combined into a single group of devices. Such enables a user to control each of the devices, of the two different users, but providing user inputs to a single device of the group. The machine learning model may also process device profile data, associated with devices registered to a single user, and determine the devices should be split into two or more groups of devices. Such may decrease the likelihood that a system may inadvertently control a device not intended by a user.

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