Detection and illumination of dark zones via collaborative lighting

US2025311075A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025311075-A1
Application numberUS-202519239104-A
CountryUS
Kind codeA1
Filing dateJun 16, 2025
Priority dateOct 13, 2021
Publication dateOct 2, 2025
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A processing system including at least one processor may detect at least one dark zone in a vicinity of a user, determine at least one lighting feature for an illumination of the at least one dark zone in accordance with a user profile of the user, identify at least one light source to provide the illumination of the at least one dark area in accordance with the at least one lighting feature that is determined, and transmit an instruction to the at least one light source to provide the illumination of the at least one dark zone in accordance with the at least one lighting feature that is determined.

First claim

Opening claim text (preview).

1 . A method, comprising: receiving, by a computing system, (i) information from one or more devices within an area indicative of context about a lighting need for a person and (ii) data from one or more sensors monitoring the area; determining, by the computing system and based at least in part on the information, that a person is present within a region of the area; determining, by the computing system and based at least in part on the data, that illumination of the region being inadequate; and in response to the person being present within the region and the illumination of the region being inadequate, causing at least one light source to illuminate at least a portion of the region. 2 . The method of claim 1 , wherein: the one or more devices include a mobile device; and the information includes location information acquired by the mobile device. 3 . The method of claim 1 , wherein: the one or more sensors include a camera; and the data includes first image data acquired by the camera. 4 . The method of claim 3 , wherein: the one or more devices include the camera; and the information includes second image data acquired by the camera. 5 . The method of claim 4 , wherein: determining that the illumination of the region being inadequate includes processing, using a first machine learning model, the first image data; and determining that the person is present within the region includes processing, using a second machine learning model, the second image data. 6 . The method of claim 1 , wherein: the one or more devices include a camera; and the information includes image data acquired by the camera. 7 . The method of claim 6 , wherein determining that the person is present within the region includes processing, using a machine learning model, the image data. 8 . The method of claim 1 , further comprising: determining, by the computing system and using the information, an identity of the person; determining, by the computing system and based on the identity, a profile of a user; and controlling at least one aspect of illumination provided by the at least one light source based on a setting in the profile. 9 . The method of claim 8 , wherein the setting indicates a brightness of the illumination. 10 . A system, comprising: one or more processors; and one or more computer-readable mediums encoded with instructions which, when executed by the one or more processors, cause the system to: receive (i) information from one or more devices within an area indicative of context about a lighting need for a person and (ii) data from one or more sensors monitoring the area; determine, based at least in part on the information, that a person is present within a region of the area; determine, based at least in part on the data, that illumination of the region being inadequate; and in response to the person being present within the region and the illumination of the region being inadequate, cause at least one light source to illuminate at least a portion of the region. 11 . The system of claim 10 , wherein: the one or more devices include a mobile device; and the information includes location information acquired by the mobile device. 12 . The system of claim 10 , wherein: the one or more sensors include a camera; and the data includes first image data acquired by the camera. 13 . The system of claim 12 , wherein: the one or more devices include the camera; and the information includes second image data acquired by the camera. 14 . The system of claim 13 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to: determine that the illumination of the region being inadequate at least in part by processing, using a first machine learning model, the first image data; and determine that the person is present within the region at least in part by processing, using a second machine learning model, the second image data. 15 . The system of claim 10 , wherein: the one or more devices include a camera; and the information includes image data acquired by the camera. 16 . The system of claim 15 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to: determine that the person is present within the region at least in part by processing, using a machine learning model, the image data. 17 . The system of claim 10 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to: determine, using the information, an identity of the person; determine, based on the identity, a profile of a user; and control at least one aspect of illumination provided by the at least one light source based on a setting in the profile. 18 . The system of claim 17 , wherein the setting indicates a brightness of the illumination. 19 . A system, comprising: means for receiving (i) information from one or more devices within an area indicative of context about a lighting need for a person and (ii) data from one or more sensors monitoring the area; means for determining, based at least in part on the information, that a person is present within a region of the area; means for determining, based at least in part on the data, that illumination of the region being inadequate; and means for causing at least one light source to illuminate at least a portion of the region in response to the person being present within the region and the illumination of the region being inadequate. 20 . The system of claim 19 , wherein: the one or more devices include a mobile device; and the information includes location information acquired by the mobile device.

Assignees

Inventors

Classifications

  • via wireless transmission · CPC title

  • specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

  • Control techniques providing energy savings, e.g. smart controller or presence detection · CPC title

  • User profiles · CPC title

  • H05B47/11Primary

    by determining the brightness or colour temperature of ambient light · CPC title

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Frequently asked questions

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What does patent US2025311075A1 cover?
A processing system including at least one processor may detect at least one dark zone in a vicinity of a user, determine at least one lighting feature for an illumination of the at least one dark zone in accordance with a user profile of the user, identify at least one light source to provide the illumination of the at least one dark area in accordance with the at least one lighting feature th…
Who is the assignee on this patent?
Simplisafe Inc
What technology area does this patent fall under?
Primary CPC classification H05B47/11. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Oct 02 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).