Robot Viewing Zone Control Around Privacy Protection Areas
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Solution Overview
Problem
Robots traveling in specific spaces face challenges in protecting user privacy as they may inadvertently capture sensitive information, causing user anxiety.
Innovation Solution
The robot is equipped with sensors to detect proximity to privacy protection zones and adjusts its heading direction to avoid capturing such zones, using processors to control drivers and light emitters to ensure privacy protection, and provides notifications or obscures images as necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot uses sensors to acquire images around it for navigation and service provision, then the robot can travel efficiently and provide prompt service, but user privacy cannot be protected causing user anxiety
Solution Approach 1:
The robot divides the surrounding space into multiple zones including a privacy protection zone and a non-privacy zone based on stored zone information. This segmentation allows the robot to selectively apply different imaging and processing strategies to different spatial regions, enabling efficient navigation while protecting user privacy in designated areas.
Solution Approach 2:
The robot applies different quality standards to different regions: in privacy protection zones, the robot either avoids imaging or applies higher privacy protection measures, while in non-privacy zones, the robot can use full imaging capabilities for efficient navigation and service provision. This local differentiation resolves the contradiction between productivity and privacy protection.
2Object-affected harmful factors
If the robot adjusts heading direction to avoid privacy protection zones, then user privacy is protected, but the travel path becomes more complex requiring additional calculations
Solution Approach 1:
The robot performs preliminary actions by pre-storing zone information including privacy protection zones and their boundary data before execution. During travel path calculation, the processor references this pre-stored information to identify privacy zones and adjust the path accordingly, rather than performing complex real-time analysis during path planning.
Solution Approach 2:
The system implements feedback by continuously monitoring the robot's position relative to privacy protection zones during travel and adjusting the heading direction in real-time based on the relationship between the viewing zone and privacy zones, ensuring privacy protection while maintaining relatively simple path calculation through iterative adjustments.
Data Source
AI summary
A robot includes: a sensor configured to detect an external environment within a viewing zone of the a sensor; memory storing information on a travel space including a privacy protection zone; and a processor configured to: identify whether the viewing zone will be within a predetermined distance from the privacy protection zone while the robot travels along a travel path in the travel space; based on identifying that the viewing zone will be within the predetermined distance, determine whether the viewing zone will overlap with the privacy protection zone based on the travel path; and based on determining that the viewing zone will overlap with the privacy protection zone, change a heading direction of the robot from a first heading direction to a second heading direction to prevent the viewing zone from overlapping with the privacy protection zone.