Mobile Robot Privacy Filtering for Text and Voice Transmission

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Solution Overview

Problem

Robots deployed in commercial and industrial settings face privacy concerns due to the transmission of confidential information, such as identity and personal conversations, which increases the risk of interception by malicious entities.

Innovation Solution

A mobile robot is configured to apply privacy features by detecting text in images and audio, modifying text to be illegible and human voice to be unintelligible before transmission, using a semantic map to determine privacy settings based on location and object types, and disabling privacy features based on tasks or customer consent.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the robot transmits captured images and audio to remote operators or servers, then the robot can perform functions based on environment information, but confidential information such as identity information, personally identifiable information, and personal conversations may be intercepted by malicious entities

Engineering Contradiction:
ImprovefunctionalityVSAvoidprivacy risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The robot applies privacy features to images and audio before transmission. Text detection is performed on images prior to transmission, and human voice detection is performed on audio prior to transmission, thereby preventing confidential information from being exposed during transmission

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The robot extracts and removes confidential information from captured data. Text regions containing confidential information are identified and removed from images, and human voice segments are extracted and removed from audio, leaving only non-sensitive information for transmission

Inventive Principle:
Principle #2Taking out (Extraction)

2Object-affected harmful factors

If the robot applies privacy features to all captured images and audio, then confidential information is protected, but transmission time and data size increase

Engineering Contradiction:
Improveprivacy protectionVSAvoidtransmission time
Core Design Contradiction:
Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The robot applies privacy features selectively rather than uniformly to all captured data. Privacy processing is applied only to specific regions containing text or audio segments containing human voice, rather than processing the entire image or audio file, thereby reducing transmission time and data size while maintaining privacy protection

Inventive Principle:
Principle #3Local quality

3Object-affected harmful factors

If the robot processes images to detect and modify text, then text privacy is protected, but processing complexity and computation time increase

Engineering Contradiction:
Improvetext privacyVSAvoidprocessing complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The robot uses an intermediary semantic map to assist in text detection and privacy determination. The semantic map provides context about the environment and objects, helping the robot identify which text regions contain confidential information that requires privacy protection, thereby reducing unnecessary processing complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11537749B2Privacy protection in mobile robot
Publication Date: 2022.12.27 COBALT LIQUIDATION LLC
  • US11537749B2 patent drawing
  • US11537749B2 patent drawing
  • US11537749B2 patent drawing

AI summary

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The mobile robot may include cameras for capturing images and videos and include microphones for capturing audio of its surroundings. To improve privacy by preventing confidential information from being transmitted, the mobile robot may detect text in images and modify the images to make the text illegible before transmitting the images. The mobile robot may also detect human voice in audio and modify audio to make the human voice unintelligible before transmitting the audio.