In-Vehicle Information System Personalized Occupant Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing in-vehicle navigation systems struggle to provide appropriate voice guidance tailored to individual drivers and passengers, as they rely on pre-defined guidance information that is not user-specific, making it difficult to offer precise and concise information.
Innovation Solution
An in-vehicle information system that includes a registration unit for user identification, a recognition unit to identify occupants based on facial recognition or manual input, and a control unit to output personalized messages using registered user names or group names, allowing for customized vehicle settings and guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-defined guidance information is used for all occupants, then the system complexity is reduced, but the information precision and user-specific customization deteriorates
Solution Approach 1:
The system segments occupants into different user profiles with individual identification information (IDs). Each user can be individually recognized and assigned personalized guidance information, replacing the unified pre-defined approach. This segmentation enables precise, user-specific information delivery while maintaining manageable system complexity through structured user profile management.
Solution Approach 2:
The system changes the parameter of information delivery from generic to personalized by incorporating user-specific identification and recognition mechanisms. By varying the information content based on recognized user identity, the system achieves precise customization without proportionally increasing overall system complexity, as the personalization layer is added modularly.
2Adaptability or versatility
If individual user recognition is implemented, then the information customization improves, but the device complexity increases
Solution Approach 1:
The system performs preliminary registration of user identification information and profiles before actual use. During operation, the recognition unit simply matches incoming data against pre-registered profiles, which simplifies the real-time processing complexity. The customization capability is achieved through this pre-prepared user database rather than complex real-time analysis.
Solution Approach 2:
The recognition unit is designed with multi-functionality, capable of handling various types of identification information (facial recognition, RFID cards, manual input) through a unified interface. This universal approach allows the system to achieve high adaptability and customization while avoiding the complexity of multiple separate recognition systems.
3Loss of information
If multiple occupant outputs are provided, then the information completeness improves, but the ease of operation deteriorates due to information overload
Solution Approach 1:
The system applies local quality by delivering customized information specifically tailored to each recognized user's needs, preferences, and historical data. Instead of providing identical comprehensive information to all occupants or overwhelming everyone with all possible information, each user receives locally optimized guidance that is complete for their specific context but presented in a manageable, personalized format.
Data Source
AI summary
An in-vehicle information system mounted on a vehicle is provided. The system comprises a registration unit configured to register identification information and a name of each user and a name of a group including a plurality of users; a recognition unit configured to recognize a user who is an occupant of the vehicle based on the identification information; and a control unit configured to cause an output unit to output a name corresponding to the user recognized by the recognition means.