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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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Patent Agency Ranking
公开(公告)号：US12165499B2
公开(公告)日：2024-12-10
申请号：US18354062
申请日：2023-07-18
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：US20230360517A1
公开(公告)日：2023-11-09
申请号：US18354062
申请日：2023-07-18
Applicant: Ademco Inc.
Inventor： Brian Beale , Sharath Venkatesha , Soumitri Kolavennu , Nathaniel Kraft
CPC classification number: G08B29/188 , G08B25/001 , G08B23/00 , 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：US11335112B2
公开(公告)日：2022-05-17
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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公开(公告)号：US20210335110A1
公开(公告)日：2021-10-28
申请号：US16860244
申请日：2020-04-28
Applicant: Ademco Inc.
Inventor： Nathaniel Kraft , Piotr Romanczyk , William R. Blum
IPC: G08B13/196 , G08B3/10 , G08B5/36 , G06K9/00 , H04N7/18
Abstract: Systems and methods for broadcasting an audio or visual alert that includes a description of features of an ambient object extracted from an image captured by a camera of a doorbell device are provided. Such systems and methods can include the camera capturing the image when the ambient object is within a field of view of the camera and a processor receiving the image from the camera, processing the image with an artificial intelligence model to identify and extract details of the features of the ambient object, and initiating a broadcast of the audio or visual alert by an alert device associated with the camera, wherein the audio or visual alert can include the description of the features of the ambient object.
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公开(公告)号：US10762773B1
公开(公告)日：2020-09-01
申请号：US16543786
申请日：2019-08-19
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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