Vehicle Gait And Gesture Recognition for Secure External Commands
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Solution Overview
Problem
Current transportation systems lack the ability to autonomously recognize and respond to the gait and gestures of individuals outside the vehicle, limiting their functionality and efficiency in performing tasks without direct human intervention.
Innovation Solution
Implementing a system with cameras and processors that detect and validate the gait and gestures of individuals, allowing the vehicle to perform functions such as unlocking doors, starting the engine, or controlling climate settings based on pre-defined patterns and authentication protocols, utilizing machine learning and blockchain technology for secure and decentralized data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the transport system implements autonomous recognition of gait and gestures using cameras and processors, then the functionality and efficiency of the vehicle are improved, but the device complexity increases
Solution Approach 1:
The camera system is designed to perform multiple functions: capturing gait information for authentication, detecting gestures for command input, and potentially monitoring the environment. This multi-functionality allows the system to improve vehicle productivity without proportionally increasing complexity, as a single hardware component serves multiple purposes in the autonomous operation framework
2Reliability
If the system uses machine learning and blockchain technology for secure authentication, then the security level is improved, but the computational requirements and energy consumption increase
Solution Approach 1:
Machine learning models are trained beforehand to recognize authorized gaits and valid gestures. During actual vehicle operation, the system performs pattern matching rather than full machine learning inference, significantly reducing real-time computational requirements and energy consumption while maintaining high security through pre-validated recognition algorithms
3Ease of operation
If the transport recognizes and responds to gestures autonomously, then the ease of operation is improved, but the reliability may worsen due to potential misinterpretation of gestures
Solution Approach 1:
The system incorporates feedback mechanisms where recognized gestures are validated against pre-defined patterns and authentication protocols before executing commands. The computer validates each gesture and can provide feedback signals to confirm recognition or request clarification, ensuring that ease of operation does not compromise reliability by preventing misinterpretation from triggering incorrect functions
Data Source
AI summary
An example operation includes one or more of receiving, by a computer associated with a transport, a gait of an individual from at least one camera associated with the transport, validating, by the computer, the gait, receiving, by the computer, a gesture of the individual from the at least one camera, validating, by the computer, the gesture, and performing, by the computer, one or more functions based on the validated gait and the validated gesture.