IP Library Granted Patent US 12,363,811
Granted Patent B2
US 12,363,811 · App. 18/649,987 · Granted Jul 15, 2025

Detection and illumination of dark zones via collaborative lighting

Inventors: Ginger Chien (Bellevue, WA); Zhi Cui (Sugar Hill, GA); Eric Zavesky (Austin, TX); Robert T. Moton, Jr. (Alpharetta, GA); Adrianne Binh Luu (Atlanta, GA); Robert Koch (Peachtree Corners, GA)
Assignee: SimpliSafe, Inc.
H05B47/11H05B47/19H04L67/12
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Quick Facts
Patent No.
US 12,363,811
App. No.
18/649,987
Granted
Jul 15, 2025
Kind
B2
Abstract

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.

Claims (48)

1. A method, comprising:

processing, by a system including at least one processor, image data acquired by a camera to determine a portion of an area as being inadequately illuminated;

identifying, by the system, a capability of a light source to illuminate at least that portion of the area, the light source being separate from the camera; and

based at least in part on (i) inadequate illumination of the area and (ii) the capability of the light source to illuminate at least the portion of the area, causing, by the system, the light source to illuminate at least the portion of the area.

2. The method of claim 1 , wherein identifying the capability of the light source includes:

determining, by the system, that stored data for the light source indicates that the light source is capable of illuminating at least the portion of the area.

3. The method of claim 2 , wherein the data is stored together with other data for one or more other light sources that are configured to be controlled by the system to selectively illuminate one or more other portions of the area.

4. The method of claim 2 , wherein the data identifies one or more capabilities of the light source.

5. The method of claim 4 , further comprising:

adjusting, by the system, a setting of the light source based on the one or more capabilities identified in the data.

6. The method of claim 5 , wherein:

the one or more capabilities include a range of available intensities of the light source;

processing the image data includes determining, based on the image data, an illumination level for the portion of the area; and

adjusting the setting includes setting an intensity of the light source based at least in part on the range of available intensities and the determined illumination level for the portion of the area.

7. The method of claim 4 , wherein:

the one or more capabilities include a coverage area of the light source; and

identifying the capability of the light source includes determining that the portion of the area is within the coverage area.

8. The method of claim 1 , further comprising:

determining, by the system, that a person is present within the portion of the area;

wherein causing the light source to illuminate at least the portion of the area is further based at least in part on the person being present.

9. The method of claim 8 , further comprising:

determining, by the system, a preference indicated in data for the person; and

adjusting, by the system, a setting of the light source based at least in part on the preference.

10. The method of claim 1 , wherein the processing is performed by one or more processors of the camera.

11. A system, comprising:

one or more processors; and

one or more non-transitory computer-readable mediums encoded with instructions which, when executed by the one or more processors, cause the system to:

process image data acquired by a camera to determine a portion of an area as being inadequately illuminated;

identify a capability of a light source to illuminate at least that portion of the area, the light source being separate from the camera; and

based at least in part on (i) inadequate illumination of the area and (ii) the capability of the light source to illuminate at least the portion of the area, cause the light source to illuminate at least the portion of the area.

12. The system of claim 11 , wherein the one or more non-transitory computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to identify the capability of the light source at least in part by:

determining that stored data for the light source indicates that the light source is capable of illuminating at least the portion of the area.

13. The system of claim 12 , wherein the data is stored together with other data for one or more other light sources that are configured to be controlled by the system to selectively illuminate one or more other portions of the area.

14. The system of claim 12 , wherein the data identifies one or more capabilities of the light source.

15. The system of claim 14 , wherein the one or more non-transitory computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:

adjust a setting of the light source based on the one or more capabilities identified in the data.

16. The system of claim 15 , wherein the one or more capabilities include a range of available intensities of the light source, the one or more non-transitory computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:

process the image data at least in part by determining, based on the image data, an illumination level for the portion of the area; and

adjust the setting at least in part by setting an intensity of the light source based at least in part on the range of available intensities and the determined illumination level for the portion of the area.

17. The system of claim 14 , wherein the one or more capabilities include a coverage area of the light source, and the one or more non-transitory computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:

identify the capability of the light source at least in part by determining that the portion of the area is within the coverage area.

18. The system of claim 11 , wherein the one or more non-transitory 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 a person is present within the portion of the area; and

cause the light source to illuminate at least the portion of the area further based at least in part on the person being present.

19. The system of claim 18 , wherein the one or more non-transitory computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:

determine a preference indicated in data for the person; and

adjust a setting of the light source based at least in part on the preference.

20. The system of claim 11 , wherein the one or more processors are included in the camera.

Assignments (3)
SECURITY INTEREST Recorded Nov 12, 2025
From: SIMPLISAFE, INC.
To: CAPITAL ONE, NATIONAL ASSOCIATION, AS COLLATERAL AGENT
Reel/Frame 073579/0854 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 10, 2024
From: AT&T INTELLECTUAL PROPERTY I, L.P.
To: SIMPLISAFE, INC.
Reel/Frame 067947/0701 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 20, 2024
From: CHIEN, GINGER; CUI, ZHI; ZAVESKY, ERIC; MOTON, ROBERT T., JR.; LUU, ADRIANNE BINH; KOCH, ROBERT
To: AT&T INTELLECTUAL PROPERTY I, L.P.
Reel/Frame 067787/0739 →
Continuity (3)
Continuation 18161874 · Jan 30, 2023
Continuation 17500316 · Oct 13, 2021
Related Publication 20240284571A1 · Aug 22, 2024
References Cited (6)
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CN 109712159A · 2019 [cited by examiner]
LIDAR 101: An Introduction to Lidar Technology Data, and Applications, National Oceanic and Atmospheric Administration (NOAA), Nov. 2012, 76 pages. [cited by applicant]
Topouzelis, K., et al., “Dark formation detection using neural networks”, International Journal of Remote Sensing, vol. 29, Issue 16, 2008, 6 pages. [cited by applicant]