Dynamic Face Blurring for Privacy Protection in Images

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Solution Overview

Problem

Modern portable electronic devices face challenges in protecting the privacy of individuals captured in images, as they store increasing amounts of personal data, and existing solutions do not effectively manage image privacy until explicit permission is received.

Innovation Solution

An electronic device with an imager and processors that blur faces in captured images until permission is granted, using various methods such as direct instruction, passive consent through image sharing, or authentication, to ensure privacy until explicit reveal permission is received.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If faces in captured images are blurred to protect privacy, then privacy protection is improved, but image utility and user experience deteriorate

Engineering Contradiction:
Improveprivacy protectionVSAvoidimage utility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent implements dynamic face blurring that adapts based on user interactions and context. The blur state is not fixed but changes dynamically - faces are blurred by default, then unblurred when users provide feedback or when the system determines it's appropriate, creating a flexible privacy protection mechanism that balances protection with utility

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where user responses (such as confirming identity or providing permission) trigger changes in the blur state. This feedback mechanism allows the system to learn from user interactions and adjust privacy levels accordingly, improving both privacy protection and image usability over time

Inventive Principle:
Principle #23Feedback

2Reliability

If explicit permission is required to reveal faces, then privacy control is improved, but system complexity and user interaction burden increase

Engineering Contradiction:
Improveprivacy controlVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system enables users to control their own privacy settings and face reveal permissions through intuitive interfaces. Users can independently manage who can see their faces in captured images and under what conditions, eliminating the need for complex centralized permission management while maintaining strong privacy controls

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary privacy protection by automatically blurring faces before any sharing occurs. This preliminary action ensures privacy is protected by default, and permission requests are only triggered when necessary, simplifying the overall permission management process

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If personal data is stored in the device, then functionality is improved, but security risks and privacy concerns increase

Engineering Contradiction:
ImprovefunctionalityVSAvoidsecurity risks
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies different privacy protection levels to different parts of the image data. Faces and personally identifiable information are selectively blurred or protected, while other parts of the image remain fully visible and usable. This local differentiation allows the device to store and process personal data while minimizing security risks through targeted protection

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS10630866B2Electronic devices and methods for blurring and revealing persons appearing in images
Publication Date: 2020.04.21 MOTOROLA MOBILITY LLC
  • US10630866B2 patent drawing
  • US10630866B2 patent drawing
  • US10630866B2 patent drawing

AI summary

An electronic device includes an imager and one or more processors operable with the imager. The imager captures at least one image of a plurality of persons. The one or more processors blur depictions of one or more persons of the plurality of persons until a reveal permission instruction is detected.