Vehicle Voice Authentication Using Image Recognition for Command Access
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Solution Overview
Problem
Current vehicle command systems require physical button activation and specific preprogrammed nomenclature, limiting authorization and natural language usage, especially when multiple occupants with varying authorization levels are present.
Innovation Solution
A vehicle command system utilizing multi-modal technology for occupant authentication and natural language processing, combining voice and image recognition to determine authorized commands based on occupant identity and vehicle context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a physical button is required to activate voice commands, then system security is improved, but ease of operation deteriorates for occupants without physical access
Solution Approach 1:
The patent replaces the mechanical button-pressing system with an acoustic recognition system. The voice command system uses microphones to capture speech and neural networks to recognize voice patterns, eliminating the need for physical contact while maintaining security through voice biometrics and authorization levels.
Solution Approach 2:
The patent introduces an intermediary authentication layer between the occupant and the vehicle system. The system captures images of occupants, compares them against authorized occupant data, and uses voice recognition as a second factor, creating a multi-modal authentication intermediary that grants access without physical buttons.
2Measurement precision
If specific preprogrammed nomenclature is required for commands, then system precision is improved, but ease of operation deteriorates when occupants use natural language
Solution Approach 1:
The patent changes the parameter of command recognition from fixed preprogrammed phrases to dynamic natural language processing. The system uses neural networks to interpret various linguistic expressions, synonyms, and sentence structures, mapping them to the appropriate vehicle commands while maintaining precise execution.
Solution Approach 2:
The patent transforms the static command structure into a dynamic interpretation system. Instead of requiring exact phrase matches, the system adapts to different ways occupants express commands naturally, using contextual understanding and semantic analysis to determine the intended action while maintaining precise control.
3Ease of operation
If uniform authorization is applied to all occupants, then ease of operation is improved, but adaptability deteriorates when different authorization levels are needed
Solution Approach 1:
The patent applies different authorization levels to different occupants based on their identity and role. The system retrieves authorization data from a database, compares it with the identified occupant, and grants appropriate access levels for specific vehicle operations, allowing the primary operator to control all functions while passengers have limited access.
Data Source
AI summary
Systems and methods are disclosed herein for implementation of a vehicle command operation system that may use multi-modal technology to authenticate an occupant of the vehicle to authorize a command and receive natural language commands for vehicular operations. The system may utilize sensors to receive data indicative of a voice command from an occupant of the vehicle. The system may receive second sensor data to aid in the determination of the corresponding vehicular operation in response to the received command. The system may retrieve authentication data for the occupants of the vehicle. The system authenticates the occupant to authorize a vehicular operation command using a neural network based on at least one of the first sensor data, the second sensor data, and the authentication data. Responsive to the authentication, the system may authorize the operation to be performed in the vehicle based on the vehicular operation command.