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公开(公告)号：US11061374B2
公开(公告)日：2021-07-13
申请号：US16294884
申请日：2019-03-06
Applicant: Ademco Inc.
Inventor： Warren Young , Soumitri Kolavennu , Christopher Heintzelman , Joseph Bodkin , John Cronin
Abstract: A building management system comprising a plurality of sensors, each sensor of the plurality of sensors configured to detect a condition of the building is disclosed. The system may further comprise a memory for storing one or more events, each event configured to identify an action from a sequence of sensed conditions, a communications module configured to communicate with a remote device over a network, and a controller operatively coupled to the first sensor, the second sensor, the memory, and the communications module. The controller may be configured to compare the plurality of sensed conditions to the one or more events to identify an action and determine what, if any response is required, and if a response is required, provide a notification to the remove device via the communications module.
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公开(公告)号：US10984329B2
公开(公告)日：2021-04-20
申请号：US15623219
申请日：2017-06-14
Applicant: Ademco Inc.
Inventor： Soumitri Kolavennu , Aravind Padmanabhan
Abstract: A voice activated knowledge management system may be used as a virtual assistant. In some cases, a knowledge management system may be configured to receive a voice request from a user, generate and send a knowledge base query to each of the two or more different knowledge base engines, and fuse the resulting responses from the knowledge base engines, resulting in a fused response. The fused response may be provided back to the user as a response to the voice request and/or may be provided as a device command to control a corresponding device.
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公开(公告)号：US20200256575A1
公开(公告)日：2020-08-13
申请号：US16860942
申请日：2020-04-28
Applicant: Ademco Inc.
Inventor： Jay Nelson , Hari Thiruvengada , Preston Gilmer , Thomas Gessner , Martin Adamek , Martin Skala , Juraj Buno , Soumitri Kolavennu , Max Peterschmidt , Libor Horky , Cary Leen , Heidi Finch
Abstract: An HVAC controller may be controlled in response to a natural language audio message that is not recognizable by the HVAC controller as a command, where the natural language audio message is translated into a command recognizable by the HVAC controller. The HVAC controller may be a thermostat and may include a housing that at least partially houses a control module, a microphone, a speaker, a display, and a voice recognition module. The voice recognition module recognizes a predetermined audible trigger from a recorded voice message or streamed voice message, and in response, provide one or more audio clips via the speaker and/or video clips via the display to assist users in operating the thermostat. A user may communicate with the thermostat via the thermostat and/or a remote device.
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公开(公告)号：US10516965B2
公开(公告)日：2019-12-24
申请号：US14938642
申请日：2015-11-11
Applicant: Ademco Inc.
Inventor： Soumitri Kolavennu , Kevin L. Weirich
IPC: F24F11/00 , H04W4/02 , H04W4/021 , H04W4/029 , F24F11/30 , F24F11/62 , F24F120/10 , F24F120/12 , F24F11/64 , F24F11/56 , F24F11/61
Abstract: An HVAC control system, wherein a building temperature is controlled to a comfort temperature set point when users are inside the geofence and is allowed to deviate from the comfort temperature set point when all users are outside of the geofence. The amount that the building temperature is allowed to deviate from the comfort temperature set point may be in accordance with how long the users have remained outside of the geofence.
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15.发明公开公开(公告)号：US20240290186A1
公开(公告)日：2024-08-29
申请号：US18655829
申请日：2024-05-06
Applicant: Ademco Inc.
Inventor： Soumitri Kolavennu , Nathaniel Kraft
IPC: G08B13/196 , G06F16/51 , G06F16/535 , G06F16/56 , G06F16/583 , G06F16/587 , G06N5/04 , G06N20/00 , G06Q50/26 , G06V40/16 , G06V40/50 , H04N23/61
CPC classification number: G08B13/1968 , G06F16/51 , G06F16/535 , G06F16/56 , G06F16/5854 , G06F16/587 , G06N5/04 , G06N20/00 , G06Q50/265 , G06V40/172 , G06V40/50 , H04N23/61
Abstract: Systems and methods for identifying user-customized relevant individuals in an ambient image at a doorbell device are provided. Such systems and methods can include receiving user input that includes image information, using the image information to compile a custom image database containing a plurality of images that depict such relevant individuals, and storing the custom image database in local memory of the doorbell device. Then, such systems and methods can include capturing an ambient image with a camera of the doorbell device, determining whether any person depicted in the ambient image matches any of the relevant individuals by comparing the ambient image to the plurality of images at the doorbell device, and generating an alert when any person depicted in the ambient image matches any of the relevant individuals.
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Patent Agency Ranking
公开(公告)号：US11776387B2
公开(公告)日：2023-10-03
申请号：US17674271
申请日：2022-02-17
Applicant: Ademco Inc.
Inventor： Brian Beale , Sharath Venkatesha , Soumitri Kolavennu , Nathaniel Kraft
CPC classification number: G08B29/188 , G08B23/00 , G08B25/001 , G08B29/02 , G08B29/26
Abstract: Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system are provided. Such systems and methods can include a learning module receiving the alarm signal and additional information associated with the alarm signal, using the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to an automated dispatcher module, and the automated dispatcher module using the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.
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公开(公告)号：US11543143B2
公开(公告)日：2023-01-03
申请号：US16860942
申请日：2020-04-28
Applicant: Ademco Inc.
Inventor： Jay Nelson , Hari Thiruvengada , Preston Gilmer , Thomas Gessner , Martin Adamek , Martin Skala , Juraj Buno , Soumitri Kolavennu , Max Peterschmidt , Libor Horky , Cary Leen , Heidi Finch
IPC: F24F11/30 , G05D23/19 , G10L15/22 , F24D19/10 , F24F11/56 , F24F11/52 , F24F11/58 , F24F110/00 , F24F130/40 , G06F3/16
Abstract: An HVAC controller controlled in response to a natural language audio message that is not recognizable by the HVAC controller as a command, where the natural language audio message is translated into a command recognizable by the HVAC controller. The HVAC controller may be a thermostat and may include a housing that at least partially houses a control module, a microphone, a speaker, a display, and a voice recognition module. The voice recognition module recognizes a predetermined audible trigger from a recorded voice message or streamed voice message, and in response, provide one or more audio clips via the speaker and/or video clips via the display to assist users in operating the thermostat. A user may communicate with the thermostat via the thermostat and/or a remote device.
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公开(公告)号：US20220262155A1
公开(公告)日：2022-08-18
申请号：US17734303
申请日：2022-05-02
Applicant: Ademco Inc.
Inventor： Soumitri Kolavennu , Nathaniel Kraft
Abstract: Disclosed systems and methods can include capturing the sequence of images of a monitored region that includes a sub-region of interest, processing the sequence of images using heuristics and rules of an artificial intelligence model to identify the plurality of discrete parts that are associated with a type of a unified entity, and processing the sequence of images using the heuristics and the rules of the artificial intelligence model to virtually link together a group of the plurality of discrete parts that correspond to a specific embodiment of the unified entity that is present in the sub-region of interest, wherein the heuristics and the rules of the artificial intelligence model can be developed from a training process that includes the artificial intelligence model receiving sample images delineating exemplary discrete parts on exemplary embodiments of the unified entity.
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公开(公告)号：US11282374B2
公开(公告)日：2022-03-22
申请号：US16942709
申请日：2020-07-29
Applicant: Ademco Inc.
Inventor： Brian Beale , Sharath Venkatesha , Soumitri Kolavennu , Nathaniel Kraft
Abstract: Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system are provided. Such systems and methods can include a learning module receiving the alarm signal and additional information associated with the alarm signal, using the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to an automated dispatcher module, and the automated dispatcher module using the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.
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公开(公告)号：US20210334525A1
公开(公告)日：2021-10-28
申请号：US16859214
申请日：2020-04-27
Applicant: Ademco Inc.
Inventor： Soumitri Kolavennu , Nathaniel Kraft
Abstract: Disclosed systems and methods can include capturing the sequence of images of a monitored region that includes a sub-region of interest, processing the sequence of images using heuristics and rules of an artificial intelligence model to identify the plurality of discrete parts that are associated with a type of a unified entity, and processing the sequence of images using the heuristics and the rules of the artificial intelligence model to virtually link together a group of the plurality of discrete parts that correspond to a specific embodiment of the unified entity that is present in the sub-region of interest, wherein the heuristics and the rules of the artificial intelligence model can be developed from a training process that includes the artificial intelligence model receiving sample images delineating exemplary discrete parts on exemplary embodiments of the unified entity.
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