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公开(公告)号:US11531789B1
公开(公告)日:2022-12-20
申请号:US16586402
申请日:2019-09-27
Applicant: Amazon Technologies, Inc.
Inventor: Sven Eberhardt , Clare Elizabeth Veladanda , Akshay Kumar , Aniruddha Basak , Charles Edwin Ashton Brett , William Evan Welbourne , Jatin Bajaj
IPC: G06F30/13 , G06T17/10 , G06F3/04817 , G06T15/20 , H04W16/20 , G06F30/18 , G10L15/18 , G10L15/22
Abstract: Systems and methods allow for floor plan generation for device visualization and use. For example, image data may be utilized to segment a building from non-building elements in an image, and the outline of the building may be utilized to generate a floor plan of the building. A user interface may be generated to present the floor plan and allow for placement of representations of walls, doors, windows, and electronic devices within the floor plan. Placement of these elements may be performed in response to input from a user and/or may be performed automatically utilizing naming indicators, device-affinity data, historical usage data, signal-strength data, etc. Once placed, the device representations may be utilized to operate the devices and display related information, such as alerts.
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公开(公告)号:US11483174B1
公开(公告)日:2022-10-25
申请号:US17364311
申请日:2021-06-30
Applicant: Amazon Technologies, Inc.
Inventor: Sven Eberhardt , Suhel Banerjee , Charles Edwin Ashton Brett , Akanksha Gupta , Jin Long Lee , Hongyang Wang , Maisie Wang
IPC: H04L12/28
Abstract: Systems and methods for device functionality control utilizing activity prediction are disclosed. For example, an activity model is utilized to identify activities associated with sensor data collected from connected devices within an environment. Target device usage data is then associated with the activities to determine probability values that the target device will be operated when the identified activities are detected. Commands may be generated and sent to the target device to perform a function when the identified activities are detected.
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公开(公告)号:US10909983B1
公开(公告)日:2021-02-02
申请号:US16134699
申请日:2018-09-18
Applicant: Amazon Technologies, Inc.
Inventor: Lizhen Peng , Sven Eberhardt , Akshay Kumar , Charles Edwin Ashton Brett , Sara Parker Hillenmeyer , William Evan Welbourne
Abstract: Systems and methods for target-device resolution are disclosed. A user may speak a user utterance requesting an action to be performed with respect to an accessory device, such as a smart-home device. The user utterance may include an identifier for the accessory device, but that identifier may not correspond to a naming indicator of an accessory device and/or may correspond to multiple naming indicators. In these examples, one or more models are utilized to identify which accessory device is most likely to correspond to the accessory device targeted by the user utterance for operation.
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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
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.
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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.
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公开(公告)号:US10580407B1
公开(公告)日:2020-03-03
申请号:US15836414
申请日:2017-12-08
Applicant: Amazon Technologies, Inc.
Inventor: Vinay Kotikalapudi Sriram , William Evan Welbourne , Jay Patel , Sven Eberhardt
Abstract: This disclosure describes, in part, techniques for utilizing global models to generate local models for electronic devices in an environment, and techniques for utilizing the global models and/or the local models to provide notifications that are based on anomalies detected within the environment. For instance, a remote system may receive an identifier associated with an electronic device and identify a global model using the identifier. The remote system may then receive data indicating state changes of the electronic device and use the data and the global model to generate a local model associated with the electronic device. Using the global model and/or local model, the remote system can identify anomalies associated with the electronic device and, in response to identifying an anomaly, notify the user. The remote system can further cause the electronic device to change states after receiving a request from the user.
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公开(公告)号:US12069144B1
公开(公告)日:2024-08-20
申请号:US18080559
申请日:2022-12-13
Applicant: Amazon Technologies, Inc.
Inventor: Sven Eberhardt , Soyoung Kim , Maisie Wang , Kunal Pramod Ghogale
IPC: G06F15/16 , H04L67/303 , H04L67/306 , H04L67/50 , H04L67/51
CPC classification number: H04L67/535 , H04L67/303 , H04L67/306 , H04L67/51
Abstract: Systems and methods for personalized device routines include determining devices associated with user account data and generating device usage data indicating aspects of smart device usage over a period of time. The usage data may then be utilized to identify candidate smart devices, time indicators, and trigger event types to associate with candidate routines. One or more of the candidate routines may be recommended to a user based at least in part on the usage data and the trigger event types at issue to personalize the device routine recommendations.
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公开(公告)号:US11551684B1
公开(公告)日:2023-01-10
申请号:US16804996
申请日:2020-02-28
Applicant: Amazon Technologies, Inc.
Inventor: Vinay Kotikalapudi Sriram , William Evan Welbourne , Jay Patel , Sven Eberhardt
Abstract: This disclosure describes, in part, techniques for utilizing global models to generate local models for electronic devices in an environment, and techniques for utilizing the global models and/or the local models to provide notifications that are based on anomalies detected within the environment. For instance, a remote system may receive an identifier associated with an electronic device and identify a global model using the identifier. The remote system may then receive data indicating state changes of the electronic device and use the data and the global model to generate a local model associated with the electronic device. Using the global model and/or local model, the remote system can identify anomalies associated with the electronic device and, in response to identifying an anomaly, notify the user. The remote system can further cause the electronic device to change states after receiving a request from the user.
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公开(公告)号:US12033622B1
公开(公告)日:2024-07-09
申请号:US17163695
申请日:2021-02-01
Applicant: Amazon Technologies, Inc.
Inventor: Lizhen Peng , Sven Eberhardt , Akshay Kumar , Charles Edwin Ashton Brett , Sara Parker Hillenmeyer , William Evan Welbourne
CPC classification number: G10L15/22 , G10L15/1815 , G10L2015/228
Abstract: Systems and methods for target-device resolution are disclosed. A user may speak a user utterance requesting an action to be performed with respect to an accessory device, such as a smart-home device. The user utterance may include an identifier for the accessory device, but that identifier may not correspond to a naming indicator of an accessory device and/or may correspond to multiple naming indicators. In these examples, one or more models are utilized to identify which accessory device is most likely to correspond to the accessory device targeted by the user utterance for operation.
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公开(公告)号:US11870862B2
公开(公告)日:2024-01-09
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: G06F3/0484 , H04L67/50 , G06N5/047 , G06F18/2413 , G06N7/01
CPC classification number: H04L67/535 , G06F3/0484 , G06F18/2413 , G06N5/047 , G06N7/01
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.
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