SELF-ADJUSTING SENSOR FOR SENSING DAYLIGHT

• US 20160345404A1
• Filed: 01/30/2015
• Published: 11/24/2016
• Est. Priority Date: 01/30/2014
• Status: Active Grant

• Current Assignee: Zumtobel Lighting GmbH (Zumtobel Group AG)
• Original Assignee: Zumtobel Lighting GmbH (Zumtobel Group AG)
• Inventors: ZEIDLER, Gerd
• Granted Patent: US 9,992,847 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04N 23/741 by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
• CPC Class Codes: H05B 47/11 by determining the brightness or colour temperature of ambient light
• CPC Class Codes: H05B 47/125 by using cameras
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A sensor unit for ascertaining control data for use in a daylight-dependent light-controlling device having an image sensor for acquiring digital image data as well as a controller for analyzing the image data and creating a brightness signal representing the daylight. The controller is designed such that when creating the brightness signal, same gives more weight to those image regions of the image data acquired by the image sensor which are more greatly influenced by the daylight.

Claims

1. A sensor unit for ascertaining control information for use in daylight-dependent light control, comprising:

an image sensor for capturing digital image information and

a controller for evaluating the image information and generating a brightness signal which represents the daylight,

wherein the controller is configured to take into consideration to a greater extent image regions of the image information that is captured by the image sensor which are influenced to a greater extent by the daylight when generating the brightness signal.

2. The sensor unit as claimed in claim 1, wherein the controller is configured to independently identify image regions that are influenced to a greater extent by the daylight.

3. The sensor unit as claimed in claim 2, wherein for generating the brightness signal, brightness information, in particular brightness values of individual image regions, is/are multiplied by a weighting factor, wherein the controller is configured to independently ascertain the weighting factors for the image regions.

4. The sensor unit as claimed in claim 3, wherein the controller is configured to determine the weighting factors for the image regions within the context of an optimization algorithm.

5. The sensor unit as claimed in claim 4, wherein the brightness information of two images that have been captured in temporal succession are compared to one another in the context of the optimization algorithm.

6. The sensor unit as claimed in claim 5, wherein, in the context of the optimization algorithm, the controller

a) increases the weighting factor associated with an image region if the temporal change in the brightness information of this image region is similar to the temporal change of the overall brightness of the image,

b) reduces the weighting factor associated with an image region if the temporal change in the brightness information of this image region is not similar to the temporal change in the overall brightness of the image.

7. The sensor unit as claimed in claim 5, wherein, in the context of the optimization algorithm, the controller

a) increases the weighting factor associated with an image region if the brightness information of this image region is not similar to the temporal change in the overall brightness of the image,

b) reduces the weighting factor associated with an image region if the brightness information of this image region is similar to the temporal change in the overall brightness of the image.

8. The sensor unit as claimed in claim 6, wherein the weighting factors are changed merely within a specified range.

9. The sensor unit as claimed in claim 1,

wherein the controller is configured to additionally provide at least one color information item or one color temperature information item with respect to the data captured by the image sensor.

10. The sensor unit as claimed in claim 9, wherein the controller is configured to provide a first color information item or color temperature information item that represents the daylight and a second color information item or color temperature information item that represents the artificial light.

11. The sensor unit as claimed in claim 1, wherein the controller reduces the resolution of the image captured by the image sensor and performs the optimization algorithm on the basis of the images having reduced resolution.

12. The sensor unit as claimed in claim 1, wherein the controller is configured to combine a plurality of images captured by the image sensor at different exposure stops into one image having increased brightness dynamic and to perform the optimization algorithm based on the images having increased brightness dynamic.

13. A method for ascertaining control information for use in daylight-dependent light control, having the following steps:

capturing digital image information using an image sensor and

evaluating the image information and generating a brightness signal which represents the daylight,

wherein image regions of the image information captured by the image sensor which are influenced to a greater extent by the daylight are taken into consideration to a greater extent when generating the brightness signal.

14. The method as claimed in claim 13, wherein for generating the brightness signal, brightness information, in particular brightness values of individual image regions, is/are multiplied by a weighting factor.

15. The method as claimed in claim 14, wherein the weighting factors for the image regions are optimized within the context of an optimization algorithm.

16. The method as claimed in claim 15, wherein the brightness information of two images that have been captured in temporal succession are compared to one another in the context of the optimization algorithm.

17. The method as claimed in claim 16, wherein, in the context of the optimization algorithm,

a) the weighting factor associated with an image region is increased if the temporal change in the brightness information of this image region is similar to the temporal change in the overall brightness of the image,

b) the weighting factor associated with an image region is reduced if the temporal change in the brightness information of this image region is not similar to the temporal change in the overall brightness of the image.

18. The method as claimed in claim 16, wherein, in the context of the optimization algorithm,

a) the weighting factor associated with an image region is increased if the brightness information of this image region is not similar to the temporal change in the overall brightness of the image,

b) the weighting factor associated with an image region is reduced if the brightness information of this image region is similar to the temporal change in the overall brightness of the image.

19. The method as claimed in claim 17, wherein the weighting factors are changed only within a specified range.

20. The method as claimed in claim 13, wherein additionally at least one color information item or one color temperature information item with respect to the data captured by the image sensor is provided,

wherein preferably a first color information item or color temperature information item representing the daylight and a second color information item or color temperature information item representing the artificial light are provided.

21. The method as claimed in claim 13, wherein the resolution of the image captured by the image sensor is reduced and the optimization algorithm is performed on the basis of the images having reduced resolution.

22. The method as claimed in claim 13, wherein a plurality of images captured by the image sensor at different exposure stops is combined into one image having increased brightness dynamic and the optimization algorithm is performed based on the images having increased brightness dynamic.