Automobile Camera System Iris Biometric Driver Identification
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Solution Overview
Problem
Traditional automobile systems rely on external devices for driver customization and are vulnerable to security breaches, lacking a method to use eye gaze data for biometric identification and component control.
Innovation Solution
An automobile camera system captures iris image data, converts it into biometric information, and uses a processor to search a database for matching records, adjusting components according to driver preferences, while also generating new records for unauthorized drivers and implementing security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external devices (key fob, remote cell phone) are used for driver identification and customization, then driver preferences can be stored and retrieved, but the system becomes vulnerable to security breaches and requires devices external to the vehicle
Solution Approach 1:
The patent extracts the identification function from external devices and relocates it to the vehicle's internal camera system. The camera captures iris images and generates biometric information locally, eliminating the need for key fobs or remote cell phones while maintaining driver identification capability.
Solution Approach 2:
The patent introduces iris biometric information as an intermediary between the driver and the vehicle system. This biometric data serves as a secure key that automatically triggers driver preference retrieval without requiring physical external devices or manual input.
2Ease of operation
If manual adjustment of components is required each time the driver changes, then driver preferences can be customized, but the process becomes time-consuming and inconvenient
Solution Approach 1:
The patent performs preliminary action by pre-storing driver preference settings in the database associated with each driver's biometric information. When a driver enters the vehicle, the system automatically retrieves and applies their preferences without requiring manual adjustment, saving time and effort.
Solution Approach 2:
The system provides self-service by automatically detecting the driver through the camera, retrieving their preferences from the database, and adjusting components without any manual intervention from the driver. The system serves itself by using the driver's biometric data to trigger the customization process.
3Reliability
If camera systems are introduced for drowsiness detection and eye gaze data collection, then biometric information can be obtained for identification, but the system complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the camera system for multiple purposes: drowsiness detection, eye gaze tracking, and iris-based biometric identification. This consolidates multiple functions into a single device, reducing overall system complexity while improving identification accuracy.
Solution Approach 2:
The patent changes the parameter being measured from general eye movement patterns to specific iris characteristics. By focusing on the unique biometric features of the iris rather than broader eye behavior, the system achieves high identification accuracy while maintaining efficient processing.
Data Source
AI summary
A system or method capable of using automobile camera system data to generate biometric information for the use in identifying authorized drivers and customizing and controlling automobile components. The system is versatile enough to distinguish between a new or unauthorized person in the automobile and respond accordingly.


