Vehicle Terminal Face Recognition Association
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In autonomous vehicle environments, existing technologies lack efficient methods to recognize and associate passenger faces with vehicle terminals, leading to limited user convenience and ineffective communication connections.
Innovation Solution
An electronic apparatus and method that utilize sensors to recognize passenger faces, acquire their positions, and store this information in association with terminal positions within a preset distance, enabling enhanced communication connections and improved user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If face recognition and terminal association methods are implemented in autonomous vehicles, then user convenience and communication connection effectiveness are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs face recognition and terminal association in advance during vehicle operation. The processor continuously captures passenger faces via sensors, recognizes them, and associates them with terminals based on positional information before communication needs arise, preparing the system proactively rather than reactively
Solution Approach 2:
The system automatically performs face recognition, position tracking, and terminal association without requiring manual user input. The processor autonomously compares captured faces with stored data, determines positional relationships, and establishes associations independently, reducing operational burden on users
2Measurement precision
If continuous face recognition and position tracking are performed, then communication connection accuracy is improved, but energy consumption and processing load increase
Solution Approach 1:
The system performs face recognition and position tracking at periodic intervals rather than continuously. The processor captures images and determines positions at scheduled moments, maintaining measurement accuracy while reducing overall processing frequency and energy consumption compared to uninterrupted monitoring
Solution Approach 2:
The system uses feedback from position difference calculations to adjust processing intensity. When the position difference between passenger and terminal exceeds a threshold, the system intensifies recognition and tracking; when within threshold, it reduces processing frequency, optimizing energy use based on actual connection needs
Data Source
AI summary
Provided is a method of storing information on a face of a passenger in a vehicle in association with a terminal of the passenger, and an electronic apparatus therefor. In the present disclosure, at least one of an electronic apparatus, a vehicle, a vehicle terminal, and an autonomous vehicle may be connected or converged with an artificial intelligence (AI) module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device associated with a 5G service, and the like.