IP Library › Granted Patent US 11,803,245
Granted Patent B2
US 11,803,245 · App. 16/733,970 · Granted Oct 31, 2023

Scalable distributed data architecture

Inventor: Srinath Arunachalam (Dallas, TX)
Assignee: Harman International Industries, Incorporated
G06F3/017G06V10/96G06V20/52G06V40/107G06V40/20H04L67/10H04L67/12
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Quick Facts
Patent No.
US 11,803,245
App. No.
16/733,970
Granted
Oct 31, 2023
Kind
B2
Abstract

One or more embodiments include a direct message handler module executing on an endpoint device, such as a direct message handler device. The direct message handler module receives first sensor data via a first sensor. The direct message handler module receives, from a first coordinator, a command to perform a first operation, the first coordinator being selected from a plurality of endpoint devices that includes the first endpoint device. In response to receiving the command, the direct message handler module performs the first operation to extract a first feature from the first sensor data. The direct message handler module transmits a first message that includes data associated with the first feature to the plurality of endpoint devices.

Claims (55)

1. A computer-implemented method for processing sensor data by a first endpoint device of a plurality of endpoint devices, comprising:

receiving, at the first endpoint device, first sensor data via a first sensor of the first endpoint device;

receiving, from a first coordinator, a command to perform a first operation, the first coordinator being selected from the plurality of endpoint devices that includes the first endpoint device;

in response to receiving the command, performing, at the first endpoint device, the first operation to extract a first feature from the first sensor data;

transmitting, from the first endpoint device, a first message that includes data associated with the first feature to the plurality of endpoint devices; and

receiving, at the first endpoint device, a second command from the first coordinator to perform a second operation to extract a second feature from the first sensor data, wherein the second operation comprises a different type of operation than the first operation.

2. The computer-implemented method of claim 1 , wherein the first operation comprises detecting gestures and further comprising:

detecting a first gesture within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first gesture has been detected.

3. The computer-implemented method of claim 1 , wherein the second operation comprises at least one of detecting presence of an object within a second image included in the first sensor data or detecting an angle associated with the object within the second image.

4. The computer-implemented method of claim 1 , wherein the first operation comprises detecting presence of an object and further comprising:

detecting a first object within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first object has been detected.

5. The computer-implemented method of claim 1 , wherein the first operation comprises detecting an angle associated with an object and further comprising:

detecting a first angle of the object within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first angle has been detected.

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

determining that a coordinator has not been selected from among the plurality of endpoint devices;

transmitting a second message that specifies a first parameter of the first endpoint device;

receiving, from a second endpoint device included in the plurality of endpoint devices, a third message that specifies a second parameter of the second endpoint device; and

determining whether the first endpoint device is the first coordinator based on the first parameter and the second parameter.

7. The computer-implemented method of claim 6 , wherein the first parameter comprises at least one of a duration of time since the first endpoint device was powered on, a media access control (MAC) address associated with the first endpoint device, or an internet protocol (IP) address associated with the first endpoint device.

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

determining, by the first endpoint device, that the first parameter and the second parameter are equal; and

comparing, by the first endpoint device, a third parameter of the first endpoint device with a fourth parameter of the second endpoint device,

wherein determining whether the first endpoint device is the first coordinator is further based on the third parameter and the fourth parameter.

9. The computer-implemented method of claim 1 , wherein the first endpoint device is the first coordinator.

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

in response to determining that the first coordinator has not transmitted a heartbeat message for a threshold duration of time, transmitting a fourth message that specifies a third parameter of the first endpoint device;

receiving, from a third endpoint device included in the plurality of endpoint devices, a fifth message that specifies a fourth parameter of the third endpoint device; and

determining whether the first endpoint device is a second coordinator based on the third parameter and the fourth parameter.

11. One or more non-transitory computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to process sensor data by a first endpoint device of a plurality of endpoint devices, by performing the steps of:

receiving, at the first endpoint device, first sensor data via a first sensor of the first endpoint device;

receiving, from a first coordinator, a command to perform a first operation, the first coordinator being selected from the plurality of endpoint devices that includes the first endpoint device;

in response to receiving the command, performing, at the first endpoint device, the first operation to extract a first feature from the first sensor data;

transmitting, from the first endpoint device, a first message that includes data associated with the first feature to the plurality of endpoint devices, wherein the first message comprises a multipoint message; and

receiving, at the first endpoint device, a second command from the first coordinator to perform a second operation to extract a second feature from the first sensor data, wherein the second operation comprises a different type of operation than the first operation.

12. The one or more non-transitory computer-readable storage media of claim 11 , wherein the first operation comprises detecting gestures and wherein the instructions further cause the one or more processors to perform the step of:

detecting a first gesture within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first gesture has been detected.

13. The one or more non-transitory computer-readable storage media of claim 11 , wherein the second operation comprises at least one of detecting presence of an object within a second image included in the first sensor data or detecting an angle associated with the object within the second image.

14. The one or more non-transitory computer-readable storage media of claim 11 , wherein the first operation comprises detecting presence of an object and wherein the instructions further cause the one or more processors to perform the step of:

detecting a first object within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first object has been detected.

15. The one or more non-transitory computer-readable storage media of claim 11 , wherein the first operation comprises detecting an angle associated with an object and wherein the instructions further cause the one or more processors to perform the step of:

detecting a first angle of the object within a first image included in the first sensor data, wherein the data associated with the first feature specifies that the first angle has been detected.

16. The one or more non-transitory computer-readable storage media of claim 11 , wherein the instructions further cause the one or more processors to perform the steps of:

determining that a coordinator has not been selected from among the plurality of endpoint devices;

transmitting a second message that specifies a first parameter of the first endpoint device;

receiving, from a second endpoint device included in the plurality of endpoint devices, a third message that specifies a second parameter of the second endpoint device; and

determining whether the first endpoint device is the first coordinator based on the first parameter and the second parameter.

17. The one or more non-transitory computer-readable storage media of claim 16 , wherein the first parameter comprises at least one of a duration of time since the first endpoint device was powered on, a media access control (MAC) address associated with the first endpoint device, or an internet protocol (IP) address associated with the first endpoint device.

18. A first endpoint device, comprising:

a memory that includes instructions; and

a processor that is coupled to the memory and, when executing the instructions:

receives first sensor data via a first sensor of the first endpoint device;

receives, from a first coordinator, a command to perform a first operation, the first coordinator being selected from a plurality of endpoint devices that includes the first endpoint device, wherein each endpoint device included in the plurality of endpoint devices are in communication via a communications network;

in response to receiving the command, performs the first operation to extract a first feature from the first sensor data;

transmits a first message that includes data associated with the first feature to the plurality of endpoint devices; and

receives, from the first coordinator, a second command to perform a second operation to extract a second feature from the first sensor data, wherein the second operation comprises a different type of operation than the first operation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 21, 2020
From: ARUNACHALAM, SRINATH
To: HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED
Reel/Frame 051891/0038 →
Continuity (2)
Provisional Application 62790425 · Jan 9, 2019
Related Publication 20200218927A1 · Jul 9, 2020