Occupant Feature Recognition for Privacy Consent Management
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Solution Overview
Problem
The handling of occupant vehicle data raises privacy concerns as personally identifiable information (PII) is collected without explicit consent from vehicle occupants, potentially violating regulations such as GDPR.
Innovation Solution
A system is implemented in vehicles to identify feature identification vectors indicative of occupant identities, request consent for data usage, and upload data only if consent is granted, ensuring compliance with privacy settings and regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle data is collected and uploaded for analytics, then data utility and service improvement are enhanced, but occupant privacy and consent compliance deteriorate
Solution Approach 1:
The system performs preliminary actions by identifying occupants and obtaining their consent before data collection begins. The controller captures images, identifies occupants using feature vectors, and secures consent in advance, ensuring that data collection only proceeds when consent is granted, thus preventing privacy violations before they occur.
Solution Approach 2:
The system introduces an intermediary consent management mechanism between data collection and data upload. The controller acts as an intermediary that mediates between the data collection system and occupants by managing consent status, feature vectors, and conditional data handling, ensuring privacy compliance while enabling data utility.
2Measurement precision
If occupant identification systems are implemented, then data collection accuracy is improved, but privacy protection capability deteriorates
Solution Approach 1:
The system applies local quality by using different data processing approaches for different occupants based on their consent status. Identified occupants with consent have their data collected and uploaded, while unidentified or non-consenting occupants have their data excluded. This localized approach ensures high identification accuracy for consenting occupants while protecting the privacy of those who do not consent.
Solution Approach 2:
The system changes parameters by transitioning from continuous data collection to conditional data collection based on consent status. The controller modifies data handling parameters dynamically - collecting and uploading data when consent is granted, and excluding data when consent is not granted - thus maintaining identification accuracy while adapting privacy protection to individual occupant preferences.
3Reliability
If consent management processes are added, then privacy compliance is improved, but system complexity increases
Solution Approach 1:
The system merges consent management functions with the existing data collection and upload processes. The controller integrates occupant identification, consent status checking, and conditional data handling into a unified workflow, avoiding the need for separate complex consent management systems while ensuring compliance through integrated control logic.
Data Source
AI summary
Ensuring privacy consent for handling of occupant vehicle data is provided. A feature identification vector indicative of an identity of a vehicle occupant of a vehicle is identified. The feature identification vector is used to identify whether consent for use of vehicle data was provided by the vehicle occupant. The consent is requested responsive to the identity of the vehicle occupant not having consented to data collection. Responsive to the consent being given by the vehicle occupant, the consent and the feature identification vector of the vehicle occupant is stored in a storage of the vehicle. The vehicle data is uploaded in accordance with whether the consent was granted for the vehicle occupant.