Motor Vehicle Surroundings Data Anonymization via Perceivable Identifier
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Solution Overview
Problem
Existing methods for processing surroundings information of a motor vehicle are inefficient and costly, as they require extensive effort to recognize and anonymize or delete personal data, and often involve complex procedures for data protection compliance.
Innovation Solution
A method where a motor vehicle is equipped with a perceivable identifier that allows individuals to detect and contact an electronic evaluation unit to determine if personal information is present in detected surroundings data, enabling targeted anonymization or deletion only upon request, thus reducing effort and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If general anonymization or deletion of personal information is carried out in all detected images, then data protection requirements are met, but processing effort and cost increase significantly
Solution Approach 1:
The system enables individuals to autonomously manage their own personal data by allowing them to opt-in for anonymization or deletion. The electronic evaluation unit processes requests from individuals based on their personal identification information, eliminating the need for universal manual review of all detected personal information while still ensuring data protection compliance for those who request it.
2Reliability
If preventive anonymization information is stored and made available before detection trips, then privacy protection is enhanced, but system complexity and procedural overhead increase
Solution Approach 1:
The system performs preliminary actions by storing personal identification information and associated anonymization preferences before detection trips occur. The electronic evaluation unit has pre-configured data structures and processing rules ready, allowing rapid response when personal information is detected during trips without requiring complex real-time decision-making or multiple stored private regions.
3Reliability
If all personal information is automatically anonymized or deleted upon detection, then data privacy is protected, but useful surroundings information is lost and processing resources are wasted
Solution Approach 1:
The system applies different quality treatments to different portions of detected information based on local requirements. Personal information that requires protection is anonymized or deleted, while non-personal surroundings information is preserved in full detail. This selective processing maintains data privacy where needed while maximizing the utility and efficiency of processing overall surroundings data.
Data Source
AI summary
The present disclosure relates to a method for electronically processing surroundings information of a motor vehicle, in which the surroundings information is detected by at least one detection unit of the motor vehicle. Personal information included in the surroundings information is anonymized and/or deleted, depending upon whether the person to whom the personal information relates has made an electronic request. Personal information in the surroundings information can be extrapolated by an identifier of the motor vehicle and/or location information. The present disclosure also relates to a computer program product and an electronic information processing system.