Systems and methods for operating an imaging device

Patent metadata

Field	Value
Publication number	US-12167147-B2
Application number	US-202318526903-A
Country	US
Kind code	B2
Filing date	Dec 1, 2023
Priority date	Jun 4, 2020
Publication date	Dec 10, 2024
Grant date	Dec 10, 2024

Abstract

The various embodiments illustrated herein disclose a method for operating an imaging device. the method includes activating a first image sensor at a first duty cycle within a first time period. The method further includes activating a second image sensor at a second duty cycle within the first time period. Additionally, the method includes modifying at least one of the first duty cycle or the second duty cycle based on at least a workflow associated an operator of the imaging device.

First claim

What is claimed is:

1. A method for operating an imaging device, the method comprising:
predicting a first duty cycle for a first image sensor and a second duty cycle for a second image sensor;
determining a first orientation of the imaging device;
determining an operating distance of the imaging device;
determining a second predicted first duty cycle for the first image sensor based on the first orientation of the imaging device and the operating distance of the imaging device;
determining a second predicted second duty cycle for the second image sensor based on the first orientation of the imaging device and the operating distance of the imaging device;
updating a predicted first duty cycle for the first image sensor based on the second predicted first duty cycle; and
updating a predicted second duty cycle for the second image sensor based on the second predicted second duty cycle.

2. The method of claim 1 , further comprising, using a common historical data and a user-specific historical data for predicting the first duty cycle for the first image sensor and for predicting the second duty cycle for the second image sensor.

3. The method of claim 2 , further comprising, using a machine learning model for predicting the first duty cycle for the first image sensor and for predicting the second duty cycle for the second image sensor.

4. The method of claim 3 , further comprising, using the machine learning model for determining the second predicted first duty cycle and for determining the second predicted second duty cycle.

5. The method of claim 1 , further comprising, utilizing one or more inertial sensors for determining the first orientation of the imaging device.

6. The method of claim 1 , further comprising, using an orientation determination unit for determining the first orientation of the imaging device.

7. The method of claim 1 , wherein the first image sensor is configured for capturing a first set of images within a first time period and wherein the second image sensor is configured for capturing a second set of images within the first time period.

8. The method of claim 7 , further comprises:
determining a first quality score for a first image in the first set of images;
determining a second quality score for a second image in the second set of images; and
comparing the first quality score with the second quality score for determining whether the first image has a better quality than the second image.

9. The method of claim 8 , further comprising, determining the operating distance of the imager device based at least in part on a position of an image of the projected aimer light in the first image and the second image.

10. The method of claim 9 , further comprising, determining the operating distance of the imager device based on the first orientation of the imaging device.

11. An imaging device comprising:
a first image sensor;
a second image sensor; and
at least one processor communicatively coupled to the first image sensor and the second image sensor, wherein the at least one processor is configured to:
predict a first duty cycle for the first image sensor and a second duty cycle for the second image sensor;
determine a first orientation of the imaging device;
determine an operating distance of the imaging device;
determine a second predicted first duty cycle for the first image sensor based on the first orientation of the imaging device and the operating distance of the imaging device;
determine a second predicted second duty cycle for the second image sensor based on the first orientation of the imaging device and the operating distance of the imaging device;
update a predicted first duty cycle for the first image sensor based on the second predicted first duty cycle; and
update a predicted second duty cycle for the second image sensor based on the second predicted second duty cycle.

12. The imaging device of claim 11 , wherein the processor is further configured to utilize a common historical data and a user-specific historical data to predict the first duty cycle for the first image sensor and to predict the second duty cycle for the second image sensor.

13. The imaging device of claim 12 , wherein the processor is further configured to use a machine learning model to predict the first duty cycle for the first image sensor and to predict the second duty cycle for the second image sensor.

14. The imaging device of claim 13 , wherein the processor is further configured to use the machine learning model to determine the second predicted first duty cycle and the second predicted second duty cycle.

15. The imaging device of claim 11 , wherein the processor is further configured to utilize one or more inertial sensors to determine the first orientation of the imaging device.

16. The imaging device of claim 11 , wherein the processor is further configured to use an orientation determination unit to determine the first orientation of the imaging device.

17. The imaging device of claim 11 , wherein the first image sensor is configured to capture a first set of images within a first time period and wherein the second image sensor is configured to capture a second set of images within the first time period.

18. The imaging device of claim 17 , wherein the processor is further configured to:
determine a first quality score for a first image in the first set of images;
determine a second quality score for a second image in the second set of images; and
compare the first quality score with the second quality score to determine whether the first image has a better quality than the second image.

19. The imaging device of claim 18 , wherein the processor is further configured to determine the operating distance of the imager device based at least in part on a position of an image of the projected aimer light in the first image and the second image.

20. The imaging device of claim 19 , wherein the processor is further configured to determine the operating distance of the imager device based on the first orientation of the imaging device.

Assignees

• Hand Held Prod Inc

Inventors

• Giordano Patrick Anthony
• Wilz David M
• Harper Jeffrey Dean
• Au Ka Man
• Hejl Benjamin

Classifications

• H04N23/6811 Primary

  based on the image signal · CPC title

• H04N25/672

  between adjacent sensors or output registers for reading a single image · CPC title

• H04N23/617

  Upgrading or updating of programs or applications for camera control · CPC title

• H04N13/111

  Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation · CPC title

• H04N23/45

  for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images · CPC title