Vehicle Driver Recognition via Shoe Imaging and Automatic Mode Setting
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Solution Overview
Problem
Existing driver recognition systems face challenges in accurately recognizing a driver's situation and setting the appropriate driving mode and environment without manual selection, leading to potential safety and satisfaction issues due to high costs and complex algorithms.
Innovation Solution
A driver recognition system that uses a camera to image the driver's shoes, a central processing unit to analyze and classify the shoes, and a control unit to set the driving environment and mode based on the classification, ensuring accurate driver recognition and personalized settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a driver recognition system directly recognizes the driver to automatically set driving mode and environment, then driver safety and satisfaction are improved, but system cost and algorithm complexity increase
Solution Approach 1:
The patent extracts and focuses on recognizing only the shoes portion of the driver rather than the entire driver. By using a camera positioned to capture only the footwell area and analyzing solely the shoe characteristics, the system achieves driver identification with significantly reduced computational requirements and lower system cost while maintaining reliability for automatic driving mode setting.
Solution Approach 2:
The patent segments the driver recognition task into a specific focus on the shoes portion. Instead of processing full-body images or complex biometric data, the system divides the recognition problem into analyzing only the shoe characteristics (type, color, pattern), which simplifies the algorithm and reduces computational complexity while still enabling reliable driver identification.
2Reliability
If a driver recognition system directly recognizes the driver to automatically set driving mode and environment, then driver safety and satisfaction are improved, but algorithm complexity increases
Solution Approach 1:
The patent extracts and focuses on recognizing only the shoes portion of the driver rather than the entire driver. By using a camera positioned to capture only the footwell area and analyzing solely the shoe characteristics, the system achieves driver identification with significantly reduced computational requirements and lower system cost while maintaining reliability for automatic driving mode setting.
Solution Approach 2:
The patent segments the driver recognition task into a specific focus on the shoes portion. Instead of processing full-body images or complex biometric data, the system divides the recognition problem into analyzing only the shoe characteristics (type, color, pattern), which simplifies the algorithm and reduces computational complexity while still enabling reliable driver identification.
3Ease of manufacture
If the driver manually selects driving mode and environment each time driver is changed, then system cost is reduced, but driver convenience and satisfaction deteriorate
Solution Approach 1:
The patent implements a self-service system where the driver's shoes automatically trigger the recognition process. As the driver enters the vehicle and places their feet on the pedals, the camera captures the shoe image and the system automatically identifies the driver and sets the appropriate driving mode and environment without requiring any manual input from the driver, thus maintaining low system cost while improving convenience.
Solution Approach 2:
The system performs preliminary recognition of the driver's shoes as soon as they enter the vehicle and place their feet in the footwell area. This preliminary action occurs before the driver would need to manually select settings, allowing the system to pre-configure the driving mode and environment automatically, improving convenience without adding significant system complexity.
4Measurement precision
If shoe classification is used to recognize driver situation, then recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by focusing the camera and analysis specifically on the shoe characteristics rather than the entire driver. The system captures images of only the footwell area and analyzes local features such as shoe color, pattern, and type. This localized approach improves recognition accuracy by concentrating on distinctive features while keeping the overall system relatively simple.
Data Source
AI summary
A driver recognition system for a vehicle includes a camera taking an image of a driver's foot, and a central processing unit receiving image information from the camera, analyzing the image information, and delivering a signal in accordance with an analyzed result. A control unit is installed to receive the signal delivered from the central processing unit and output a control command so as to set a driving environment and a driving mode in accordance with the received signal. A control execution unit operates in accordance with the command received from the control unit, and an operator set in accordance with the operation of the control execution unit.