Vehicle Data Classification for Driver-Approved Data Transmission

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Solution Overview

Problem

Existing systems lack adequate mechanisms for obtaining driver consent before transmitting personal data from vehicles to data centers, especially in light of stricter data protection regulations like GDPR, risking unintentional transmission of sensitive data.

Innovation Solution

An information system comprising a first device in the vehicle to classify data into first (requiring driver approval) and second (not requiring approval) data types, a second device operated by the driver for approval operations, and a third device for data collection, ensuring that only approved data is transmitted to the data center.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If all vehicle data is transmitted to the data center, then complete data collection for telematics services is achieved, but driver privacy protection and compliance with data protection regulations deteriorate

Engineering Contradiction:
Improvedata collection completenessVSAvoiddriver privacy exposure
Core Design Contradiction:
Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent segments vehicle data into two distinct categories: first data (sensitive personal information requiring approval) and second data (non-sensitive operational data). This segmentation is implemented through classification units in the data collection device that automatically categorize data based on sensitivity criteria, enabling differential transmission strategies that protect privacy while maintaining service functionality.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent extracts sensitive personal information from the overall data set and isolates it as first data requiring separate approval handling. This extraction mechanism removes harmful elements (privacy risks) from the automatic transmission flow, allowing only non-sensitive second data to be transmitted without driver intervention, while sensitive data awaits explicit approval.

Inventive Principle:
Principle #2Taking out (Extraction)

2Reliability

If driver approval is required for all data transmission, then data protection compliance is improved, but system complexity and driver operational burden increase

Engineering Contradiction:
Improvedata protection complianceVSAvoidapproval process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides the approval process into two streams: first data requires driver approval through a user interface, while second data is transmitted automatically without approval requests. This segmentation reduces the scope of required approvals to only sensitive data, thereby maintaining compliance while reducing operational complexity compared to requiring approval for all data.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements automatic classification and transmission decisions for second data without requiring driver intervention. The data collection device autonomously determines which data requires approval and which can be transmitted immediately, reducing the burden on drivers while maintaining appropriate protection for sensitive information.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If classification conditions are made more detailed, then data protection precision is improved, but system complexity and processing time increase

Engineering Contradiction:
Improvedata classification precisionVSAvoidclassification system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments classification criteria into distinct categories for identifying first data versus second data. The classification conditions are structured to evaluate specific attributes (such as data type, sensitivity level, and personal information indicators) that automatically route data into the appropriate category, achieving precise classification through modular decision rules rather than complex continuous evaluation.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12620270B2Information system, data collection device, and information terminal
Publication Date: 2026.05.05 ASTEMO LTD
  • US12620270B2 patent drawing
  • US12620270B2 patent drawing
  • US12620270B2 patent drawing

AI summary

An object of the present invention is to provide a technique that enables a driver to approve transmission of vehicle data to a data center. The information system includes a first device (101-a) mounted in a vehicle, a second device (102-a) operated by a driver, and a third device (103). The first device classifies the vehicle data into the first data and the second data according to preset classification conditions. The first data is data for which an approval operation by the driver is requested. The second data is data for which the approval operation by the driver is not requested. The first device transmits the first data to the second device and transmits the second data to the third device. The second device receives the first data from the first device, and transmits the first data to the third device in response to the approval operation by the driver.