Methods and systems for an automated design, fulfillment, deployment and operation platform for lighting installations

Patent metadata

Field	Value
Publication number	US-12014121-B2
Application number	US-202217810382-A
Country	US
Kind code	B2
Filing date	Jul 1, 2022
Priority date	Apr 27, 2017
Publication date	Jun 18, 2024
Grant date	Jun 18, 2024

Abstract

A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.

First claim

We claim:

1. A method for characterizing a near field illumination effect of a light source, the method comprising:
capturing, and correlating with a distance- and orientation-specific location of a multi-dimensional image sensor set relative to a light source, a set of illumination values forming an image of the light source and including an illumination value for each one of a plurality of image sensing elements in the image sensor set, and repeating the capturing and correlating for a plurality of different distance- and orientation-specific locations of the image sensor set relative to the light source;
storing, in a processor accessible electronic memory, a plurality of the images of the light source each including a set of the illumination values and being correlated with a one of the plurality of distance- and orientation-specific locations of the image sensor set;
producing a multi-dimensional representation of a near-field light distribution of the light source by processing the stored images and their correlated distance- and orientation-specific locations of the image sensor set relative to the light source, utilizing a multi-dimensional near-field illumination reconstruction algorithm that combines the stored images and their correlated distance- and orientation-specific locations together with interpolated images for additional distance- and orientation-specific locations of the image sensor set; and
storing the multi-dimensional representation in the processor accessible electronic memory.

2. The method of claim 1 , wherein the multi-dimensional image sensor set is a two-dimensional array of the image sensing elements.

3. The method of claim 1 , wherein the multi-dimensional representation includes four dimensions consisting of a first dimension of a two-dimensional array of the image sensing elements, a second dimension of the two-dimensional array of the image sensing elements, and two dimensions collectively representing illumination values of luminous flux from each of the image sensing elements.

4. The method of claim 1 , wherein the multi-dimensional representation includes five dimensions consisting of a first dimension of a two-dimensional array of the image sensing elements, a second dimension of the two-dimensional array of the image sensing elements, a value representing the distance- and orientation-specific location of the image sensor set relative to the light source, and two dimensions collectively representing illumination values of luminous flux from each of the image sensing elements.

5. The method of claim 2 , wherein the reconstruction algorithm determines a relative contribution of each one of a plurality of point sources on a light source's surface to each one of a plurality of pixels pix-el-in the two-dimensional array image sensor.

6. The method of claim 1 , wherein producing the multi-dimensional representation includes applying the Kaczmarz method, numerical methods, machine learning methods, neural networks, or linear algebra.

7. The method of claim 1 , wherein the multi-dimensional near-field illumination reconstruction algorithm generates a volume data set linking one or more illumination values in one or more ones of the stored images with one or more other illumination values in one or more other ones of the stored images to facilitate processing the resulting volume data set.

8. The method of claim 1 , wherein producing the multi-dimensional representation includes producing a model of an illumination pattern of the light source.

9. The method of claim 1 , further including controlling, with the processor, the plurality of theft distance- and orientation-specific locations of the multi-dimensional image sensor set relative to the light source.

10. The method of claim 1 , wherein the capturing includes capturing a light pattern visible on a secondary side of a translucent intermediate screen disposed between the light source and the image sensor set.

11. The method of claim 8 , wherein producing the model of the illumination pattern of the light source includes recognizing a presence of an additional light source, and wherein producing the multi-dimensional representation includes utilizing the multi-dimensional near-field illumination reconstruction algorithm to combine further stored images of the additional light source and their correlated distance- and orientation-specific locations together with interpolated images for other distance- and orientation-specific locations of the image sensor set.

12. A method for characterizing a near field illumination effect of a light source, the method comprising:
capturing, and correlating with a distance- and orientation-specific location of a multi-dimensional image sensor set relative to a light source, a set of illumination values forming an image of the light source and including an illumination value for each one of a plurality of image sensing elements in the image sensor set, and repeating the capturing and correlating for a plurality of different distance- and orientation-specific locations of the image sensor set relative to the light source;
storing, in a processor accessible electronic memory, a plurality of the images of the light source each including a set of the illumination values and being correlated with a one of the plurality of distance- and orientation-specific locations of the image sensor set;
producing a multi-dimensional representation of a near-field light distribution of the light source by processing the stored images and their correlated distance- and orientation-specific locations of the image sensor set relative to the light source, utilizing a multi-dimensional near-field illumination reconstruction algorithm employing a neural network or the Kaczmarz method; and
storing the multi-dimensional representation in the processor accessible electronic memory.

13. The method of claim 12 , wherein the multi-dimensional image sensor set is a two-dimensional array of the image sensing elements.

14. The method of claim 12 , wherein the multi-dimensional representation includes four dimensions consisting of a first dimension of a two-dimensional array of the image sensing elements, a second dimension of the two-dimensional array of the image sensing elements, and two dimensions collectively representing luminous flux from the image sensing elements.

15. The method of claim 12 , wherein the multi-dimensional representation includes five dimensions consisting of a first dimension of a two-dimensional array of the image sensing elements, a second dimension of the two-dimensional array of the image sensing elements, a value representing the distance- and orientation-specific location of the image sensor set relative to the light source, and two dimensions collectively representing luminous flux from the image sensing elements.

16. The method of claim 13 , wherein the reconstruction algorithm determines a relative contribution of each one of a plurality of point sources on a light source's surface to each one of a plurality of pixels in the two-dimensional array image sensor.

17. The method of claim 12 , wherein the multi-dimensional near-field illumination reconstruction algorithm generates a volume data set linking one or more illumination values in one or more ones of the stored images with one or more other illumination values in one or more other ones of the stored images to facilitate processing the resulting volume data set.

18. The method of claim 12 , wherein producing the multi-dimensional representation includes producing a model of an illumination pattern

Assignees

• Korrus Inc

Inventors

• Harrison Benjamin James
• Koparkar Shruti
• Reynoso Mark
• Pickard Paul
• Petluri Raghuram L V
• Vick Gary
• Villegas Andrew

Classifications

• H05B47/175

  by remote control · CPC title

• H04N23/80

  Camera processing pipelines; Components thereof · CPC title

• G06V10/751

  Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching · CPC title

• H04N23/90

  Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums · CPC title

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title