IP Library › Granted Patent US 11,144,798
Granted Patent B2
US 11,144,798 · App. 16/462,550 · Granted Oct 12, 2021

Contextually aware system and method

Inventors: Alberto Rizzoli (San Francisco, CA); Simon Edwardsson (San Francisco, CA)
Assignee: V7 LTD.
G06K9/72G06K9/00664G06K9/00986G06N3/02
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Quick Facts
Patent No.
US 11,144,798
App. No.
16/462,550
Granted
Oct 12, 2021
Kind
B2
Abstract

A method of analysing an image the image transmitted from a local image acquisition device to a local image processor; the local image processor processing the image locally in order to define at least one context descriptor relevant to a scene contained in the image.

Claims (22)

1. A method of analyzing an image comprising:

transmitting the image from a local image acquisition device to a local image processor; and

defining at least one context descriptor relevant to a scene contained in the image, by processing the image locally by the local image processor,

wherein the local image processor utilizes a first processing algorithm to define a class or object within said scene;

wherein the local image processor utilizes a second processing algorithm to define the at least one context descriptor; and

wherein the second processing algorithm utilizes a neural network algorithm to process the image thereby to define said at least one context descriptor relevant to said scene contained in the image.

2. The method of claim 1 wherein said local image processor utilizes at least one associated local input.

3. The method of claim 2 wherein the local image processor utilizes the at least one associated local input to trigger generation of said at least one context descriptor.

4. The method of claim 2 wherein the associated local input comprises a Global Positioning System (GPS) signal.

5. The method of claim 2 wherein the associated local input comprises a clock signal.

6. The method of claim 2 wherein the associated local input comprises a accelerometer signal.

7. The method of claim 2 wherein the associated local input comprises a gyroscope signal.

8. The method of claim 2 wherein the associated local input is a local switch.

9. The method of claim 2 wherein the associated local input is a touchscreen switch.

10. The method of claim 1 wherein the local image processor utilizes output from the first processing algorithm to define the at least one context descriptor.

11. The method of claim 1 wherein the local image processor utilizes at least one associated local input to define the at least one context descriptor.

12. The method of claim 1 wherein the local image processor utilizes output from the first processing algorithm and at least one associated local input to define the at least one context descriptor.

13. The method of claim 1 wherein the first processing algorithm utilizes a convolutional neural network algorithm to process the image.

14. The method of claim 1 wherein the local image acquisition device and local image processor form part of and are mechanically and electronically associated with a portable digital device.

15. The method of claim 14 wherein the portable digital device is a smart phone.

16. The method of claim 14 wherein the portable digital device is a wearable device.

17. The method of claim 14 wherein the portable digital device is an augmented reality headset.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2020
From: POLY AI, INC.
To: V7 LTD.
Reel/Frame 053581/0175 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 21, 2019
From: RIZZOLI, ALBERTO; EDWARDSSON, SIMON
To: POLY AI, INC.
Reel/Frame 049236/0225 →
Priority Claims (1)
AU 2016904758 · Nov 21, 2016 · national
Continuity (1)
Related Publication 20190318211A1 · Oct 17, 2019
Cited By (2)
US 12,466,068 US 12,482,243