IP Library Granted Patent US 12,495,128
Granted Patent B2
US 12,495,128 · App. 17/882,026 · Granted Dec 9, 2025

Load control system having a visible light sensor

Inventor: James P. Steiner (Royersford, PA)
Assignee: Lutron Technology Company LLC
H04N7/188G05B19/048G06V40/20H05B47/105H05B47/11H05B47/115H05B47/18H05B47/19G05B2219/23153
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,495,128
App. No.
17/882,026
Granted
Dec 9, 2025
Kind
B2
Abstract

A sensor for sensing environmental characteristics of a space may include a visible light sensing circuit for recording an image of the space and a control circuit responsive to the visible light sensing circuit. The control circuit may detect an occupancy or vacancy condition in the space in response to the visible light sensing circuit, and measure a light level in the space in response to the visible light sensing circuit. The control circuit may also include a low-energy occupancy sensing circuit for detecting an occupancy condition in the space. The control circuit may disable the visible light sensing circuit when the space is vacant. The control circuit may detect an occupancy condition in the space in response to the low-energy occupancy sensing circuit and subsequently enable the visible light sensing circuit. The visible light sensor may be configured in a way that protects the privacy of the occupants of the space.

Claims (86)

1 . A sensor for sensing an environmental characteristic of a space, the sensor comprising:

a visible light sensing circuit configured to record images of the space, wherein the visible light sensing circuit is configured to detect vacancy conditions in the space;

a communication circuit configured to transmit and receive digital messages;

a low-power occupancy sensing circuit configured to detect occupancy conditions in the space, wherein the low-power occupancy sensing circuit is configured to consume less power than the visible light sensing circuit when powered; and

a control circuit configured to:

enable the visible light sensing circuit in response to the detection of an occupancy condition by the low-power occupancy sensing circuit, wherein the control circuit is configured to:

process, while the visible light sensing circuit is enabled, pixels of the images recorded by the visible light sensing circuit over time to detect at least one vacancy condition;

detect, based on a threshold amount of movement indicated by the processed pixels of the images recorded by the visible light sensing circuit over time while the visible light sensing circuit is enabled, a vacancy condition in the space;

disable the visible light sensing circuit in response to the vacancy condition based on the threshold amount of movement indicated by processed pixels over time, and

transmit, via the communication circuit, a digital message indicating the vacancy condition.

2 . The sensor of claim 1 , wherein the control circuit is configured to detect the vacancy condition in response to an image recorded by the visible light sensing circuit.

3 . The sensor of claim 1 , wherein the control circuit is configured to transmit a digital message indicating an occupancy condition via the communication circuit after detecting the occupancy condition in the space in response to the visible light sensing circuit.

4 . The sensor of claim 3 , wherein the control circuit is configured to transmit the digital message indicating the vacancy condition via the communication circuit after detecting the vacancy condition in the space in response to the visible light sensing circuit.

5 . The sensor of claim 1 , wherein the control circuit is configured to detect that the occupancy condition is maintained in the space in response to the visible light sensing circuit.

6 . The sensor of claim 1 , wherein the environmental characteristic comprises a movement, a light intensity, a color temperature, the occupancy condition, or a vacancy condition.

7 . The sensor of claim 1 , wherein the visible light sensing circuit comprises a camera and an image processor.

8 . The sensor of claim 1 ,

wherein the control circuit is configured to:

detect the occupancy condition in the space while in an occupancy/vacancy mode; and

based on detecting the occupancy condition in the space, transmit a message to a load control device to adjust a light intensity presented by the load control device.

9 . The sensor of claim 1 , wherein the control circuit is configured to sense a first environmental characteristic of the space by applying a first mask to focus on a first region of the images, and to sense a second environmental characteristic of the space by applying a second mask to focus on a second region of interest of the image.

10 . The sensor of claim 9 , wherein the control circuit is configured to apply the first mask to focus on the first region of interest of the image in order to detect at least one of the occupancy condition and the vacancy condition in the space.

11 . The sensor of claim 10 , wherein the control circuit is configured to apply the second mask to focus on the second region of interest of the images in order to measure a light level in the space.

12 . The sensor of claim 9 , wherein the control circuit is configured to apply the first mask to focus on the first region of interest of the image and to apply the second mask to focus on the second region of interest of the image in order to detect at least one of the occupancy condition and the vacancy condition in the space.

13 . The sensor of claim 9 , wherein the control circuit is configured to

adjust an operational characteristic of the sensor to a first level when applying the first mask to focus on the first region of interest of the image, and to adjust the operational characteristic of the sensor to a second level when applying the second mask to focus on the second region of interest of the images.

14 . The sensor of claim 1 , wherein the control circuit is configured to:

detect the vacancy condition in the space when an amount of movement indicated by the processed pixels of the images recorded by the visible light sensing circuit over time is less than an occupancy threshold.

15 . The sensor of claim 1 , wherein the control circuit is configured to:

process, while the visible light sensing circuit is enabled, pixels of the at least one image recorded by the visible light sensing circuit over time to detect at least one occupancy condition; and

detect the vacancy condition in the space when the threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time is greater than an occupancy threshold.

16 . A method comprising:

recording at least one image of a space with a visible light sensing circuit;

detecting an occupancy condition in the space with a low-power occupancy sensing circuit;

wherein the low-power occupancy sensing circuit is configured to consume less power than the visible light sensing circuit when powered;

enabling the visible light sensing circuit in response to the detection of the first occupancy condition by the low-power occupancy sensing circuit;

processing, while the visible light sensing circuit is enabled, pixels of the at least one image recorded by the visible light sensing circuit over time to detect at least one vacancy condition;

detecting, based on a threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time while the visible light sensing circuit is enabled, a vacancy condition in the space;

disabling the visible light sensing circuit in response to the vacancy condition detected based on the threshold amount of movement indicated by processed pixels over time; and

transmitting a digital message indicating the vacancy condition.

17 . The method of claim 16 , further comprising detecting the vacancy condition in response to an image recorded by the visible light sensing circuit.

18 . The method of claim 16 , further comprising transmitting a digital message indicating the occupancy condition via a communication circuit after detecting the occupancy condition in the space in response to the visible light sensing circuit.

19 . The method of claim 18 , further comprising transmitting the digital message indicating the vacancy condition via the communication circuit after detecting the vacancy condition in the space in response to the visible light sensing circuit.

20 . The method of claim 16 , further comprising detecting that the occupancy condition is maintained in the space in response to the visible light sensing circuit.

21 . The method of claim 16 , wherein the visible light sensing circuit comprises a camera and an image processor.

22 . The method of claim 16 , further comprising:

detecting the occupancy condition in the space while in an occupancy/vacancy mode; and

based on detecting the occupancy condition in the space, transmitting a message to a load control device to adjust a light intensity presented by the load control device.

23 . The method of claim 16 , further comprising sensing a first environmental characteristic of the space by applying a first mask to focus on a first region of the image, and sensing a second environmental characteristic of the space by applying a second mask to focus on a second region of interest of the at least one image.

24 . The method of claim 23 , further comprising applying the first mask to focus on the first region of interest of the at least one image in order to detect at least one of the occupancy condition and the vacancy condition in the space.

25 . The method of claim 24 , further comprising applying the second mask to focus on the second region of interest of the at least one image in order to measure a light level in the space.

26 . The method of claim 23 , further comprising applying the first mask to focus on the first region of interest of the at least one image and applying the second mask to focus on the second region of interest of the image in order to detect at least one of the occupancy condition and the vacancy condition in the space.

27 . The method of claim 23 , further comprising adjusting an operational characteristic to a first level when applying the first mask to focus on the first region of interest of the at least one image, and adjusting the operational characteristic to a second level when applying the second mask to focus on the second region of interest of the at least one image.

28 . The method of claim 16 , further comprising:

detecting the vacancy condition in the space when the threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time is less than an occupancy threshold.

29 . The method of claim 16 , wherein the method is for sensing an environmental characteristic in the space, and wherein the environmental characteristic comprises a movement, a light intensity, a color temperature, the occupancy condition, or a vacancy condition.

30 . The method of claim 16 , further comprising:

processing, while the visible light sensing circuit is enabled, pixels of the at least one image recorded by the visible light sensing circuit over time to detect at least one occupancy condition; and

detecting the vacancy condition in the space when the threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time is greater than an occupancy threshold.

31 . A computer-readable medium having stored thereon instructions that are configured to, when executed by a control circuit, cause the control circuit to:

receive at least one image of a space from a visible light sensing circuit;

detect, with a low-power occupancy sensing circuit, an occupancy condition in the space, wherein the low-power occupancy sensing circuit is configured to consume less power than the visible light sensing circuit when powered;

enable the visible light sensing circuit in response to the detection of the occupancy condition by the low-power occupancy sensing circuit;

process, while the visible light sensing circuit is enabled, pixels of the at least one image recorded by the visible light sensing circuit over time to detect at least one vacancy condition;

detect, based on a threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time while the visible light sensing circuit is enabled, a vacancy condition in the space; and

disable the visible light sensing circuit in response to the vacancy condition detected based on the threshold amount of movement indicated by processed pixels over time, and

transmit, via a communication circuit, a digital message indicating the vacancy condition.

32 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to detect the vacancy condition in response to an image recorded by the visible light sensing circuit.

33 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to transmit a digital message indicating the occupancy condition via the communication circuit after detecting the occupancy condition in the space in response to the visible light sensing circuit.

34 . The computer-readable medium of claim 33 , wherein the instructions, when executed, are further configured to cause the control circuit to transmit the digital message indicating the vacancy condition via the communication circuit after detecting the vacancy condition in the space in response to the visible light sensing circuit.

35 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to detect that the occupancy condition is maintained in the space in response to the visible light sensing circuit.

36 . The computer-readable medium of claim 31 , wherein the computer-readable medium is configured to sense an environmental characteristic of the space, and wherein the environmental characteristic comprises a movement, a light intensity, a color temperature, the occupancy condition, or a vacancy condition.

37 . The computer-readable medium of claim 31 , wherein the visible light sensing circuit comprises a camera and an image processor.

38 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to:

detect the occupancy condition in the space while in an occupancy/vacancy mode; and

based on detecting the occupancy condition in the space, transmit a message to a load control device to adjust a light intensity presented by the load control device.

39 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to sense a first environmental characteristic of the space by applying a first mask to focus on a first region of the at least one image, and sense a second environmental characteristic of the space by applying a second mask to focus on a second region of interest of the at least one image.

40 . The computer-readable medium of claim 39 , wherein the instructions, when executed, are further configured to cause the control circuit to apply the first mask to focus on the first region of interest of the at least one image in order to detect at least one of an occupancy condition and a vacancy condition in the space.

41 . The computer-readable medium of claim 40 , wherein the instructions, when executed, are further configured to cause the control circuit to apply the second mask to focus on the second region of interest of the at least one image in order to measure a light level in the space.

42 . The computer-readable medium of claim 39 , wherein the instructions, when executed, are further configured to cause the control circuit to apply a first mask to focus on the first region of interest of the at least one image and to apply the second mask to focus on the second region of interest of the at least one image in order to detect at least one of the occupancy condition and the vacancy condition in the space.

43 . The computer-readable medium of claim 39 , wherein the instructions, when executed, are further configured to cause the control circuit to adjust an operational characteristic to a first level when applying the first mask to focus on the first region of interest of the at least one image, and adjust the operational characteristic to a second level when applying the second mask to focus on the second region of interest of the at least one image.

44 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to:

detect the vacancy condition in the space when the threshold amount of movement indicated by the processed pixels of the at least one image recorded by the visible light sensing circuit over time is less than an occupancy threshold.

45 . The computer-readable medium of claim 31 , wherein the instructions, when executed, are further configured to cause the control circuit to:

process, while the visible light sensing circuit is enabled, pixels of the at least one image recorded by the visible light sensing circuit over time to detect at least one occupancy condition; and

detect a vacancy condition in the space when an amount of movement indicated by the processed pixels of the at least one images recorded by the visible light sensing circuit over time is greater than an occupancy threshold.

Continuity (6)
Continuation 17243698 · Apr 29, 2021
Continuation 16790334 · Feb 13, 2020
Continuation 16280797 · Feb 20, 2019
Division 15374928 · Dec 9, 2016
Provisional Application 62266370 · Dec 11, 2015
Related Publication 20220377291A1 · Nov 24, 2022
References Cited (133)
US 5248919A · Hanna et al. · 1993 [cited by applicant]
US 6486778B2 · Mahler et al. · 2002 [cited by applicant]
US 7391297B2 · Cash et al. · 2008 [cited by applicant]
US 7643908B2 · Quirino et al. · 2010 [cited by applicant]
US 7781713B2 · Papamichael et al. · 2010 [cited by applicant]
US 7940167B2 · Steiner et al. · 2011 [cited by applicant]
US 8009042B2 · Steiner et al. · 2011 [cited by applicant]
US 8184004B2 · Roosli et al. · 2012 [cited by applicant]
US 8199010B2 · Sloan et al. · 2012 [cited by applicant]
US 8228184B2 · Blakeley et al. · 2012 [cited by applicant]
US 8288981B2 · Spira et al. · 2012 [cited by applicant]
US 8410706B2 · Steiner et al. · 2013 [cited by applicant]
US 8451116B2 · Steiner et al. · 2013 [cited by applicant]
US 8610570B2 · Roosli et al. · 2013 [cited by applicant]
US 8665090B2 · Bull · 2014 [cited by applicant]
US 8760293B2 · Steiner et al. · 2014 [cited by applicant]
US 8878439B2 · Noguchi et al. · 2014 [cited by applicant]
US 8950461B2 · Ogden et al. · 2015 [cited by applicant]
US 8965107B1 · Schpok et al. · 2015 [cited by applicant]
US 9049756B2 · Klusmann et al. · 2015 [cited by applicant]
US 9064394B1 · Trundle · 2015 [cited by applicant]
US 9084310B2 · Bedell et al. · 2015 [cited by applicant]
US 9148937B2 · Steiner et al. · 2015 [cited by applicant]
US 9232610B2 · Gritti · 2016 [cited by applicant]
US 9277629B2 · Steiner et al. · 2016 [cited by applicant]
US 9288878B2 · Dillen · 2016 [cited by applicant]
US 9295112B2 · Knapp · 2016 [cited by applicant]
US 9425978B2 · Frei et al. · 2016 [cited by applicant]
US 9497830B1 · Yoakum et al. · 2016 [cited by applicant]
US 9536152B2 · Li et al. · 2017 [cited by applicant]
US 9536154B2 · Skans et al. · 2017 [cited by applicant]
US 9746371B1 · Kumar · 2017 [cited by applicant]
US 9756710B2 · Ghanoun et al. · 2017 [cited by applicant]
US 9826598B2 · Roberts et al. · 2017 [cited by applicant]
US 9878447B2 · Thibodeau et al. · 2018 [cited by applicant]
US 10278268B2 · Casey et al. · 2019 [cited by applicant]
US 10347047B2 · Poursohi et al. · 2019 [cited by applicant]
US 10382706B2 · Scharer et al. · 2019 [cited by applicant]
US 10616979B2 · Casey et al. · 2020 [cited by applicant]
US 10660185B2 · Baker et al. · 2020 [cited by applicant]
US 11013093B2 · Casey et al. · 2021 [cited by applicant]
US 11587322B2 · Baker et al. · 2023 [cited by applicant]
US 11690152B2 · Casey et al. · 2023 [cited by applicant]
US 11832365B2 · Baker et al. · 2023 [cited by applicant]
US 20010015409A1 · Mahler et al. · 2001 [cited by applicant]
US 20010015440A1 · Tsubata et al. · 2001 [cited by applicant]
US 20030043290A1 · Sasaki · 2003 [cited by applicant]
US 20040160199A1 · Morgan et al. · 2004 [cited by applicant]
US 20050111700A1 · Oboyle et al. · 2005 [cited by applicant]
US 20070132846A1 · Broad et al. · 2007 [cited by applicant]
US 20080092075A1 · Jacob et al. · 2008 [cited by applicant]
US 20090206983A1 · Knode et al. · 2009 [cited by applicant]
US 20100119153A1 · Rai · 2010 [cited by applicant]
US 20100188009A1 · Bull · 2010 [cited by applicant]
US 20100235309A1 · Boleko et al. · 2010 [cited by applicant]
US 20110071675A1 · Wells et al. · 2011 [cited by applicant]
US 20110115910A1 · Brackney · 2011 [cited by examiner]
US 20110260654A1 · Tanigawa et al. · 2011 [cited by applicant]
US 20120027299A1 · Ran · 2012 [cited by examiner]
US 20120153840A1 · Dahlen et al. · 2012 [cited by applicant]
US 20120176358A1 · Kaji et al. · 2012 [cited by applicant]
US 20120300011A1 · Moletti et al. · 2012 [cited by applicant]
US 20120313588A1 · Carberry · 2012 [cited by examiner]
US 20120319596A1 · Nanahara et al. · 2012 [cited by applicant]
US 20130026947A1 · Economy et al. · 2013 [cited by applicant]
US 20130030589A1 · Pessina et al. · 2013 [cited by applicant]
US 20130088154A1 · Van et al. · 2013 [cited by applicant]
US 20140015417A1 · Iwai et al. · 2014 [cited by applicant]
US 20140042913A1 · Yang et al. · 2014 [cited by applicant]
US 20140071677A1 · Pickard et al. · 2014 [cited by applicant]
US 20140132475A1 · Bhutani et al. · 2014 [cited by applicant]
US 20140156079A1 · Courtney et al. · 2014 [cited by applicant]
US 20140180486A1 · Newman et al. · 2014 [cited by applicant]
US 20140191665A1 · Gommans et al. · 2014 [cited by applicant]
US 20140232895A1 · Schieltz · 2014 [cited by applicant]
US 20140239817A1 · Leinen et al. · 2014 [cited by applicant]
US 20140265568A1 · Crafts et al. · 2014 [cited by applicant]
US 20140265863A1 · Gajurel et al. · 2014 [cited by applicant]
US 20140265879A1 · Dillen · 2014 [cited by applicant]
US 20140265880A1 · Taipale et al. · 2014 [cited by applicant]
US 20140267008A1 · Jain et al. · 2014 [cited by applicant]
US 20140305602A1 · Kirby et al. · 2014 [cited by applicant]
US 20140312777A1 · Shearer et al. · 2014 [cited by applicant]
US 20140368646A1 · Traff · 2014 [cited by examiner]
US 20150002029A1 · Ide · 2015 [cited by applicant]
US 20150015775A1 · Nagata et al. · 2015 [cited by applicant]
US 20150076992A1 · Walma · 2015 [cited by examiner]
US 20150084545A1 · Takahashi et al. · 2015 [cited by applicant]
US 20150222861A1 · Fujii et al. · 2015 [cited by applicant]
US 20150230323A1 · Steiner et al. · 2015 [cited by applicant]
US 20150279051A1 · Kovesi et al. · 2015 [cited by applicant]
US 20150304613A1 · Child · 2015 [cited by applicant]
US 20150305119A1 · Hidaka et al. · 2015 [cited by applicant]
US 20150368967A1 · Lundy et al. · 2015 [cited by applicant]
US 20160027262A1 · Skotty et al. · 2016 [cited by applicant]
US 20160047164A1 · Lundy et al. · 2016 [cited by applicant]
US 20160054023A1 · Protzman et al. · 2016 [cited by applicant]
US 20160056629A1 · Baker et al. · 2016 [cited by applicant]
US 20160080625A1 · Itoh · 2016 [cited by examiner]
US 20160120009A1 · Aliakseyeu et al. · 2016 [cited by applicant]
US 20160150617A1 · Montagne · 2016 [cited by applicant]
US 20160191864A1 · Siminoff et al. · 2016 [cited by applicant]
US 20160224036A1 · Baker et al. · 2016 [cited by applicant]
US 20160249439A1 · Recker et al. · 2016 [cited by applicant]
US 20160258209A1 · Berman et al. · 2016 [cited by applicant]
US 20160278188A1 · Steiner et al. · 2016 [cited by applicant]
US 20160353547A1 · Shivell et al. · 2016 [cited by applicant]
US 20160353549A1 · Walma et al. · 2016 [cited by applicant]
US 20160374176A1 · Van · 2016 [cited by applicant]
US 20170038787A1 · Baker et al. · 2017 [cited by applicant]
US 20170048950A1 · Deese et al. · 2017 [cited by applicant]
US 20170171941A1 · Steiner et al. · 2017 [cited by applicant]
US 20170223802A1 · Schindler et al. · 2017 [cited by applicant]
US 20170231066A1 · Roberts et al. · 2017 [cited by applicant]
US 20170353699A1 · Wang · 2017 [cited by applicant]
US 20180025521A1 · Allen et al. · 2018 [cited by applicant]
US 20180063485A1 · Sannala · 2018 [cited by applicant]
AU 702175B2 · 1999 [cited by applicant]
CN 102293058A · 2011 [cited by applicant]
CN 103858523A · 2014 [cited by applicant]
CN 104869301A · 2015 [cited by applicant]
CN 105007674A · 2015 [cited by applicant]
IL 139611 · 2002 [cited by applicant]
JP 2002289377A · 2002 [cited by applicant]
JP 2013096947A · 2013 [cited by applicant]
JP 2015011905A · 2015 [cited by applicant]
KR 20150057072A · 2015 [cited by applicant]
KR 20150081226A · 2015 [cited by applicant]
RO 201500014U1 · 2016 [cited by applicant]
WO 0199474A1 · 2001 [cited by applicant]
WO 2013153475A1 · 2013 [cited by applicant]
WO 2015039035A1 · 2015 [cited by applicant]
WO 2018107182A2 · 2018 [cited by applicant]