IP Library › Granted Patent US 11,343,286
Granted Patent B2
US 11,343,286 · App. 16/541,619 · Granted May 24, 2022

Media device content review and management

Inventors: Andrew Nevick (San Diego, CA); Godfrey Duke (San Diego, CA); John Riley (San Diego, CA); Dustin Dailey (San Diego, CA)
Assignee: ETURI CORP.
H04L63/306H04L51/12H04L63/308H04N21/4532G11B20/00159H04W4/14
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Quick Facts
Patent No.
US 11,343,286
App. No.
16/541,619
Granted
May 24, 2022
Kind
B2
Abstract

Systems and methods may be provided to monitor media content on a monitored media device, including multimedia content, to determine whether the content is appropriate for the monitored device or devices, and to take action to remove, filter or otherwise block inappropriate content. The content monitored may include, for example, content such as audio content, video content, images, and text.

Claims (41)

1. A system for device monitoring, comprising:

an electronic monitored device, comprising a communications transceiver;

a monitoring and analysis circuit, wherein the monitoring and analysis circuit is configured to:

capture media content displayed by the electronic monitored device;

analyze the media content and identifies any media content that exceeds a content tolerance level established for that device as flagged media content;

generate derived data regarding the flagged media content;

encrypt the flagged media content and the derived data;

transmit the encrypted flagged media content and the encrypted derived data for analysis;

analyze the derived data to determine whether the flagged content is inappropriate, wherein the derived data is decrypted for the analysis;

transmit an alert corresponding to the identified flagged media content for review by a second electronic monitored device, wherein the alert is based on the analysis of the media content and the analysis of the derived data;

receive feedback from the second electronic device relating to the flagged media content; and

update the analysis of the media content using the received feedback, wherein updating the analysis comprises applying the feedback from a user of the second electronic device to a machine learning model to refine the analysis and update the content tolerance level.

2. The system of claim 1 , wherein the monitoring and analysis circuit is located on the electronic monitored device.

3. The system of claim 1 , wherein the monitoring and analysis circuit is located on a server configured to generate alerts to the second electronic monitoring device.

4. The system of claim 1 , wherein the captured media content comprises at least one of the display output of the monitored device, text input of the monitored device, a screenshot of the display of the monitored device, and an audio input of the monitored device.

5. The system of claim 1 , wherein the monitoring and analysis circuit is further configured to generate a report to the second electronic monitoring device corresponding to a summary of media content monitored on electronic monitored device over a period of time.

6. The system of claim 5 , wherein the report comprises a summary of the amount and types of content captured on the electronic monitored device.

7. The system of claim 1 , wherein the monitoring and analysis circuit is further configured to transmit to the second electronic monitoring device the flagged media content.

8. The system of claim 1 , wherein the feedback comprises an indication as to whether or not the flagged content displayed to the user constitutes inappropriate material.

9. The system of claim 1 , wherein the feedback comprises an indication describing the flagged media content, wherein the indication is received from the second electronic device and comprising one or more of: a textual input describing characteristics of the captured media content; a rating of flagged media content; and a textual input reciting text information contained in the captured media content.

10. The system of claim 9 , wherein the rating corresponds to one or more of violence, sexual content, or language.

11. The system of claim 1 , wherein the derived data corresponding to the flagged media content comprises: data associated with a type of flagged media content, data associated with the flagged media content, characteristics of the flagged media content, violation categories associated with flagged media content, and the tolerance levels for the monitored device.

12. The system of claim 1 , wherein the flagged media content is encrypted using different encryption keys than encrypting the derived data such that the derived data is decrypted for analysis without accessing the flagged media content.

13. A method for device monitoring, the method comprising the steps of:

capturing media content displayed by an electronic monitored device;

analyzing the media content and identifying any media content that exceeds a content tolerance level established for the electronic monitored device as flagged media content;

generating derived data corresponding to the flagged media content;

encrypting the flagged media content and the derived data;

transmitting the encrypted flagged media content and the encrypted derived data for analysis;

analyzing the derived data to determine whether the flagged media content is inappropriate, wherein the derived data is decrypted for the analysis;

transmitting an alert corresponding to the identified flagged media content for review by a second electronic device, wherein the alert is based on the analysis of the media content and the analysis of the derived data;

receiving feedback from the second electronic device relating to the flagged media content; and

updating the analysis of the media content using the received feedback, wherein updating the analysis comprises applying the feedback from a user of the second electronic device to a machine learning model to refine the analysis and update the content tolerance level.

14. The method of claim 13 , wherein the second electronic device is configured to provide the content tolerance level established for the electronic monitored device.

15. The method of claim 13 , wherein the captured media content comprises at least one of the display output of the monitored device, text input of the monitored device, a screenshot of the display of the monitored device, and an audio input of the monitored device.

16. The method of claim 13 , further comprising the step of generating a report to the second electronic device a report corresponding to a summary of media content monitored on the electronic monitored device over a period of time.

17. The method of claim 16 , wherein the report comprises a summary of the amount and types of content captured on the electronic monitored device.

18. The method of claim 13 , further comprising the step of transmitting, to the second electronic device, the flagged media content.

19. The method of claim 13 , wherein updating the analysis by applying the received feedback to the machine learning model improves the analysis of the media content on the electronic monitored device.

20. The method of claim 19 , wherein the feedback comprises an indication as to whether or not the flagged content displayed to the user constitutes inappropriate material.

21. The method of claim 19 , wherein the feedback comprises an indication describing the flagged media content, wherein the indication is received from the second electronic device and comprising one or more of: a textual input describing characteristics of the captured media content; a rating of flagged media content; and a textual input reciting text information contained in the captured media content.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2020
From: NEVICK, ANDREW; DUKE, GODFREY; RILEY, JOHN; DAILEY, DUSTIN
To: ETURI CORP.
Reel/Frame 051635/0278 →
Continuity (3)
Continuation 16203453 · Nov 28, 2018
Continuation 16032027 · Jul 10, 2018
Related Publication 20200021623A1 · Jan 16, 2020