Granted Patent B2

US 12,278,869 · App. 18/819,195 · Granted Apr 15, 2025

Inventors: Thomas Guzik (Edina, MN); Muhammad Adeel (Edina, MN)

Assignees: Getac Technology Corporation; WHP Workflow Solutions, Inc.

H04L67/125H04N23/661H04W84/12

Abstract

Claims (74)

1. A computer-implemented method, comprising:

receiving, by a first computing device, data indicative of a function of a second computing device, wherein the function is configured to generate function data:

determining, by the first computing device, a context of the second computing device;

determining, by the first computing device using a machine-learning-trained function selection model and based on the context of the second computing device, whether to activate the function of the second computing device to generate the function data; and

outputting, by the first computing device and based on determining to activate the function of the second computing device to generate the function data, an instruction to the second computing device to activate the function to generate the function data.

2. The computer-implemented method of claim 1 , wherein determining whether to activate the function comprises:

determining whether to activate the function of the second computing device to generate the function data at a first quality or a second quality; and

outputting the instruction to activate the function comprises:

outputting the instruction to activate the function to generate the function data at the first quality or the second quality.

3. The computer-implemented method of claim 2 , wherein:

the function data at the first quality is video data with a first video resolution; and

the function data at the second quality is the video data with a second, different video resolution.

4. The computer-implemented method of claim 1 , further comprising:

determining, by the first computing device, an additional function of the second computing device, the additional function being configured to generate additional function data,

wherein determining whether to activate the function to generate the function data comprises:

determining whether to (i) activate the function to generate the function data at a first quality, (ii) activate the function to generate the function data at a second quality, or (iii) activate the additional function to generate the additional function data.

5. The computer-implemented method of claim 4 , further comprising:

determining, by the first computing device, whether the function data and the additional function data are a same type of data,

wherein determining whether to (i) activate the function to generate the function data at the first quality, (ii) activate the function to generate the function data at the second quality, or (iii) activate the additional function to generate the additional function data is based on whether the function data and the additional function data are the same type of data.

6. The computer-implemented method of claim 1 , further comprising:

determining a context of the first computing device,

wherein determining whether to activate the function of the second computing device is further based on the context of the first computing device.

7. The computer-implemented method of claim 1 , further comprising:

determining, by the first computing device, characteristics of the second computing device,

wherein determining whether to activate the function to generate the function data is based on the characteristics of the second computing device.

8. A system, comprising:

one or more processors; and

memory including a plurality of computer-executable components that are executable by the one or more processors to perform a plurality of operations, the plurality of operations comprising:

analyzing, by a first computing device, data indicative of a function of a second computing device, wherein the function is configured to generate function data;

determining, by the first computing device, a context of a second computing device;

determining, by the first computing device using a machine-learning-trained function selection model and based on the context of the second computing device, whether to activate the function of the second computing device to generate the function data; and

outputting, by the first computing device and based on determining to activate the function of the second computing device to generate the function data, an instruction to the second computing device to activate the function to generate the function data.

9. The system of claim 8 , wherein determining whether to activate the function comprises:

determining whether to activate the function of the second computing device to generate the function data at a first quality or a second quality; and

outputting the instruction to activate the function comprises:

outputting the instruction to activate the function to generate the function data at the first quality or the second quality.

10. The system of claim 9 , wherein:

the function data at the first quality is video data with a first video resolution; and

the function data at the second quality is the video data with a second, different video resolution.

11. The system of claim 8 , wherein the operations further comprise:

determining, by the first computing device, an additional function of the second computing device, the additional function being configured to generate additional function data; and

determining whether to activate the function to generate the function data comprises:

determining whether to (i) activate the function to generate the function data at a first quality, (ii) activate the function to generate the function data at a second quality, or (iii) activate the additional function to generate the additional function data.

12. The system of claim 11 , wherein the operations further comprise:

determining, by the first computing device, whether the function data and the additional function data are a same type of data; and

determining whether to (i) activate the function to generate the function data at the first quality, (ii) activate the function to generate the function data at the second quality, or (iii) activate the additional function to generate the additional function data is based on whether the function data and the additional function data are the same type of data.

13. The system of claim 8 , wherein the operations further comprise:

determining a context of the first computing device; and

determining whether to activate the function of the second computing device is further based on the context of the first computing device.

14. The system of claim 8 , wherein the operations further comprise:

determining, by the first computing device, characteristics of the second computing device; and

determining whether to activate the function to generate the function data is based on the characteristics of the second computing device.

15. A non-transitory computer-readable medium storing computer-executable instructions that, upon execution, cause one or more processors to perform operations comprising:

analyzing, by a first computing device, data indicative of a function of a second computing device, wherein the function is configured to generate function data

determining, by the first computing device, a context of a second computing device;

determining, by the first computing device using a machine-learning-trained function selection model and based on the context of the second computing device, whether to activate the function of the second computing device to generate the function data; and

outputting, by the first computing device and based on determining to activate the function of the second computing device to generate the function data, an instruction to the second computing device to activate the function to generate the function data.

16. The non-transitory computer-readable medium of claim 15 , wherein determining whether to activate the function comprises:

determining whether to activate the function of the second computing device to generate the function data at a first quality or a second quality; and

outputting the instruction to activate the function comprises:

outputting the instruction to activate the function to generate the function data at the first quality or the second quality.

17. The non-transitory computer-readable medium of claim 16 , wherein:

the function data at the first quality is video data with a first video resolution; and

the function data at the second quality is the video data with a second, different video resolution.

18. The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

determining, by the first computing device, an additional function of the second computing device, the additional function being configured to generate additional function data; and

determining whether to activate the function to generate the function data comprises:

determining whether to (i) activate the function to generate the function data at a first quality, (ii) activate the function to generate the function data at a second quality, or (iii) activate the additional function to generate the additional function data.

19. The non-transitory computer-readable medium of claim 18 , wherein the operations further comprise:

determining, by the first computing device, whether the function data and the additional function data are a same type of data; and

determining whether to (i) activate the function to generate the function data at the first quality, (ii) activate the function to generate the function data at the second quality, or (iii) activate the additional function to generate the additional function data is based on whether the function data and the additional function data are the same type of data.

20. The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

determining a context of the first computing device; and

determining whether to activate the function of the second computing device is further based on the context of the first computing device.

Assignments (1)

Continuity (3)

References Cited (16)