Vehicle Control via Face and Motion Recognition
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Solution Overview
Problem
Existing vehicle control systems using face recognition are expensive and require high-performance systems, making them impractical for low-cost vehicles, and they primarily offer limited personalized services such as seat adjustments.
Innovation Solution
A vehicle control apparatus and method that uses face recognition and motion recognition to authenticate and control vehicle functions using a low-performance system, comprising an image obtaining part, face recognizing part, face authenticating part, motion recognizing part, and control part, which allows for various services including controlling the vehicle by recognizing and authenticating faces and motions outside the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If face recognition is used for vehicle control, then personalized services and driving convenience are improved, but system cost and complexity increase
Solution Approach 1:
The system divides face recognition into two distinct stages: detection (locating face position) and identification (recognizing identity). This segmentation allows each module to be optimized independently, reducing overall system complexity while maintaining high convenience for drivers.
Solution Approach 2:
The system performs face detection continuously before actual identification is needed. By preliminarily detecting and tracking face positions, the system prepares data structures and reduces processing load during critical identification moments, improving responsiveness without requiring peak computational power constantly.
2Measurement precision
If high performance system is used for face recognition, then recognition accuracy is improved, but vehicle cost increases
Solution Approach 1:
The system dynamically adjusts processing intensity based on operational context. During normal driving, lightweight detection algorithms run continuously. When authentication is required, more intensive identification algorithms are activated temporarily, achieving high accuracy only when needed while maintaining low average power consumption and cost.
Solution Approach 2:
The system changes processing parameters dynamically - using lower resolution for continuous detection and higher resolution only during identification. This parameter adjustment allows the use of less expensive hardware that can switch between operational modes rather than requiring always-high-performance components.
3Loss of time
If face recognition is performed before driver enters vehicle, then service preparation time is reduced, but system complexity increases
Solution Approach 1:
The system performs face detection and tracking as preliminary actions before the driver enters the vehicle. By continuously monitoring and preparing face data in advance, the system reduces the time required for authentication and service personalization when the driver actually enters, without requiring complex reconfiguration during entry.
Solution Approach 2:
The system automatically detects and tracks faces in the camera's field of view without requiring driver intervention. This self-service approach continuously prepares recognition data structures and updates face positions, reducing preparation time while keeping the interface simple and avoiding additional complexity from manual input systems.
Data Source
AI summary
Provided is a vehicle control apparatus including an image obtaining part that obtains an image of outside of a vehicle; a face recognizing part that finds and tracks a face of a person from an image obtained by the image obtaining part based on feature elements human faces and extracts feature information regarding a face of a person; a face authenticating part that compares the feature information extracted by the face recognizing part to feature information regarding faces of persons registered in advance and, if a difference therebetween is less than or equal to a critical value, authenticates that the recognized face as a registered face; the motion recognizing part that, when authentication is completed by the face authenticating part, recognizes a motion; and a control part that recognizes a motion of a face-recognized and face-authenticated person and performs a set function.