Vehicle Start Control Using Voice-Based Intoxication Detection
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Solution Overview
Problem
Existing vehicle control systems cannot effectively prevent intoxicated driving as they do not differentiate between sober and intoxicated drivers based on voice input alone.
Innovation Solution
A vehicle control device that acquires speech data and combines it with visual and audio analysis to determine the driver's intoxicated state, limiting vehicle start operations if the driver is intoxicated, using a speech acquiring section, state acquiring section, and control section to prevent the vehicle from being started by an intoxicated driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition is used to actuate vehicle devices, then ease of operation is improved, but the ability to detect intoxicated driving deteriorates
Solution Approach 1:
The patent combines multiple detection methods (voice recognition, facial image analysis, and breath alcohol detection) into a single integrated system. The control unit processes inputs from all three sources and综合 determines whether to allow vehicle operation, thereby maintaining ease of voice-based operation while reliably detecting intoxicated driving through multiple independent verification channels
Solution Approach 2:
The patent introduces a control unit as an intermediary that mediates between the voice recognition system and vehicle actuation. This intermediary layer analyzes additional parameters (facial features, breath alcohol content) beyond simple voice recognition, allowing the system to maintain convenient voice-based operation while preventing intoxicated drivers from operating the vehicle through multi-factor authentication
2Device complexity
If only speech data is used to determine driver state, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent merges three distinct detection systems (speech recognition, facial image recognition, and breath alcohol detection) into a unified detection framework. The control unit integrates data from all three sources to comprehensively determine driver intoxication state, achieving high measurement precision without requiring any single system to be overly complex
Solution Approach 2:
The patent segments the detection function into three independent modules: speech recognition module, facial image recognition module, and breath alcohol detection module. Each module performs a specific function with manageable complexity, while the control unit synthesizes their outputs to achieve high overall detection accuracy for intoxicated state determination
Data Source
AI summary
A vehicle control device includes: a speech acquiring section that acquires speech data related to a speech of a speaker; a state acquiring section that acquires information indicating whether or not a driver attempting to start driving a vehicle is in an intoxicated state based on the speech data; and a control section configured to limit a start operation of the vehicle in a case in which the information indicates that the driver is in the intoxicated state, the start operation being an operation performed by the driver with respect to the vehicle to start driving the vehicle.