Lighting device alignment calibration system

1. A system for detecting misalignment of a light fixture in a set of light fixtures that direct light to a surface, the system comprising:

a gateway controller device; and

an aerial drone that is equipped with an imaging device; and

a computer-readable memory device containing programming instructions that are configured to cause the gateway controller device to:

receive, via a communication interface from the aerial drone, images captured by the imaging device at one or more locations over an illuminated surface,

select a group of the images and, for each image in the group:

identify a segment of the illuminated surface that is contained in the image,

identify a light fixture that is configured to direct light to the segment, and

determine whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned; and

for any image that contains content indicating that the light fixture that is configured to direct light to the segment contained in the image is improperly aligned, output a signal indicating that that light fixture requires recalibration.

2. The system of claim 1 , wherein the programming instructions to determine, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprise instructions to:

measure luminance of each pixel in a group of pixels in the image;

detect a position of maximum luminance in the segment;

access a data set of calibration data and identify, from the data set, an expected location of maximum luminance for the segment;

determine whether the detected position of maximum luminance is within a tolerance range of the expected location; and

if the detected position of maximum luminance is within the tolerance range of the expected location determine that the light fixture is properly aligned, otherwise determine that the light fixture is improperly aligned.

3. The system of claim 1 , wherein the programming instructions to determine, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprise instructions to:

measure luminance of each pixel in a group of pixels in the image;

detect an area of maximum luminance in the segment;

identify a size of the area of maximum luminance;

access a data set of calibration data and identify, from the data set, an expected size for the area of maximum luminance for the segment;

determine whether the detected size of the area of maximum luminance matches the expected size; and

if the detected size matches the expected size determine that the light fixture is properly aligned, otherwise determine that the light fixture is improperly aligned.

4. The system of claim 1 , wherein the programming instructions to determine, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprise instructions to:

measure luminance of each pixel in a group of pixels in the image;

detect an area of maximum luminance in the segment;

identify a shape of the area of maximum luminance;

access a data set of calibration data and identify, from the data set, an expected shape for the area of maximum luminance for the segment;

determine whether the detected shape of the area of maximum luminance matches the expected shape; and

if the detected shape matches the expected shape determine that the light fixture is properly aligned, otherwise determine that the light fixture is improperly aligned.

5. The system of claim 1 , further comprising:

a drone controller; and

a computer-readable memory containing programming instructions configured to cause the drone controller cause the aerial drone to capture the images by:

causing the aerial drone to move within an imaging range of each of a plurality of reference points in the facility, and

for each of the reference points, capturing an image of an area of the illuminated surface that includes the reference point.

6. The system of claim 1 , wherein the programming instructions are also configured to cause the gateway controller device to, for each image in the group:

identify a beam shape of emitted light directed to the segment by detecting a shape of a group of adjacent pixels in the image for which the measured luminance is at least a threshold percentage of the maximum luminance; and

use the identified beam shape when identifying the segment of the surface that is contained in the image by selecting, from a data set, a segment of the surface having an expected beam shape that corresponds to the identified beam shape.

7. The system of claim 1 further comprising:

the light fixture, which is associated with a fixture controller; and

additional programming instructions that are configured to cause the gateway controller device to, upon determining that the light fixture is not properly aligned, send a command to the fixture controller of the light fixture to adjust a shape or direction of light emitted by the light fixture.

8. The system of claim 1 further comprising:

the light fixture;

a motor and a motor controller configured to move the light fixture; and

additional programming instructions that are configured to cause the gateway controller device to, upon determining that the light fixture is not properly aligned, send a command to the motor controller of the light fixture to adjust roll, pitch and/or yaw of the light fixture.

9. A method of detecting misalignment of a light fixture in a set of light fixtures that direct light to a surface, the method comprising, by a gateway controller device:

receiving, via a communication interface, images captured by an aerial drone at one or more locations over an illuminated surface;

selecting a group of the images and, for each image in the group:

identifying a segment of the illuminated surface that is contained in the image,

identifying a light fixture that is configured to direct light to the segment, and

determining whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned; and

for any image that contains content indicating that the light fixture that is configured to direct light to the segment contained in the image is improperly aligned, outputting a signal indicating that that light fixture requires recalibration.

10. The method of claim 9 , wherein the determining, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprises:

measuring luminance of each pixel in a group of pixels in the image;

detecting a position of maximum luminance in the segment;

accessing a data set of calibration data and identifying, from the data set, an expected location of maximum luminance for the segment;

determining whether the detected position of maximum luminance is within a tolerance range of the expected location; and

if the detected position of maximum luminance is within the tolerance range of the expected location determining that the light fixture is properly aligned, otherwise determining that the light fixture is improperly aligned.

11. The method of claim 9 , wherein the determining, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprises:

measuring luminance of each pixel in a group of pixels in the image;

detecting an area of maximum luminance in the segment;

identifying a size of the area of maximum luminance;

accessing a data set of calibration data and identifying, from the data set, an expected size for the area of maximum luminance for the segment;

determining whether the detected size of the area of maximum luminance matches the expected size; and

if the detected size matches the expected size determining that the light fixture is properly aligned, otherwise determining that the light fixture is improperly aligned.

12. The method of claim 9 , wherein the determining, for each image in the group, whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprises:

measuring luminance of each pixel in a group of pixels in the image;

detecting an area of maximum luminance in the segment;

identifying a shape of the area of maximum luminance;

accessing a data set of calibration data and identify, from the data set, an expected shape for the area of maximum luminance for the segment;

determining whether the detected shape of the area of maximum luminance matches the expected shape; and

if the detected shape matches the expected shape determining that the light fixture is properly aligned, otherwise determining that the light fixture is improperly aligned.

13. The method of claim 9 further comprising, by a drone controller, causing the aerial drone to capture the images by:

causing the aerial drone to move within an imaging range of each of a plurality of reference points in the facility; and

for each of the reference points, causing an imaging device of the aerial drone to capture an image of an area of the illuminated surface that includes the reference point.

14. The method of claim 9 further comprising, by the gateway controller device, for each image in the group:

identifying a beam shape of emitted light directed to the segment by detecting a shape of a group of adjacent pixels in the image for which the measured luminance is at least a threshold percentage of the maximum luminance; and

using the identified beam shape when identifying the segment of the surface that is contained in the image by selecting, from a data set, a segment of the surface having an expected beam shape that corresponds to the identified beam shape.

15. The method of claim 9 further comprising by the gateway controller:

determining that a light fixture is not properly aligned; and

sending a command to a fixture controller of the light fixture to adjust a shape or direction of light emitted by the light fixture.

16. The method of claim 9 further comprising:

determining that a light fixture is not properly aligned; and

sending a command to a motor controller of the light fixture to adjust roll, pitch and/or yaw of the light fixture.

17. A system for detecting misalignment of a light fixture, the system comprising:

a gateway controller device; and

a computer-readable memory device containing programming instructions that are configured to cause the gateway controller device to:

receive an image captured by an imaging device at a location over an illuminated surface,

identify a segment of the illuminated surface that is contained in the image,

identify a light fixture that is configured to direct light to the segment,

determine whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned, and

if the image contains content indicating that the light fixture is improperly aligned, output a signal indicating that that light fixture requires recalibration.

18. The system of claim 1 , wherein the programming instructions to determine whether the image contains content indicating that the light fixture that is configured to direct light to the segment is improperly aligned comprise instructions to:

measure luminance of each pixel in a group of pixels in the image;

detect an area of maximum luminance in the segment;

identify one or more of the following: a position, size, or shape of the area of maximum luminance;

access a data set of calibration data and identify, from the data set, an expected position, size and/or shape for the area of maximum luminance for the segment;

determine whether the detected position, size, and/or shape of the area of maximum luminance matches the expected position, size, and/or shape; and

if the detected position, size, and/or shape matches the expected position, size, and/or shape determine that the light fixture is properly aligned, otherwise determine that the light fixture is improperly aligned.

19. The system of claim 17 further comprising:

the light fixture, which is associated with a fixture controller; and

additional programming instructions that are configured to cause the gateway controller device to, upon determining that the light fixture is not properly aligned, send a command to the fixture controller of the light fixture to adjust a shape or direction of light emitted by the light fixture.

20. The system of claim 17 further comprising:

the light fixture;

a motor and motor controller configured to move the light fixture; and

additional programming instructions that are configured to cause the gateway controller device to, upon determining that the light fixture is not properly aligned, send a command to the motor controller of the light fixture to adjust roll, pitch and/or yaw of the light fixture.