Vehicle Voice Assistant Zone Detection via Image Capture
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Solution Overview
Problem
Current voice recognition assistant systems in vehicles are not user-friendly in accommodating individual requests for local settings, as they struggle to accurately determine the origin of voice commands and control the corresponding sub-systems within the vehicle compartment.
Innovation Solution
The proposed voice assistant system integrates an image capturing system to detect the user issuing voice commands, allowing the control unit to determine the present zone and control the associated sub-system accordingly, eliminating the need for users to specify the zone in their commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice recognition alone is used to determine the origin of voice commands, then the system structure remains simple, but the accuracy of determining which user issued the command and which zone to control deteriorates
Solution Approach 1:
The patent combines voice recognition with image recognition technologies to create a unified control system. The image capturing device captures images of users, and the control unit integrates both voice and image data to accurately determine which user issued the voice command and which zone should be controlled, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent introduces an image capturing device as an intermediary component that provides visual information about users. This intermediary enables the system to accurately identify the origin of voice commands by cross-referencing voice data with image data, thereby improving measurement precision without excessively increasing system complexity
2Reliability
If users must specify the zone in voice commands, then the system can accurately control the intended sub-system, but the complexity of voice commands increases
Solution Approach 1:
The system performs self-service by automatically determining the zone information through image recognition. The control unit analyzes images to identify which user issued the voice command and automatically associates this with the corresponding zone, eliminating the need for users to manually specify zone information in their voice commands. This maintains reliability while significantly improving ease of operation
3Adaptability or versatility
If the vehicle compartment is divided into multiple zones with separate sub-systems, then local control capability is improved, but the difficulty of detecting and measuring the command origin increases
Solution Approach 1:
The patent divides the vehicle compartment into multiple zones, each with its own sub-system for local control. The image capturing device captures images that cover these segmented zones, and the control unit analyzes the images to determine which zone the user is in and which sub-system should be controlled. This segmentation approach improves adaptability while the image recognition technology manages the complexity of detecting command origin
Data Source
AI summary
The disclosed subject matter generally relates to a voice assistant system for a vehicle which can distinguish who is issuing voice commands, and thereby also which sub-system in the vehicle to control according to the voice command. This is obtained by allowing the voice assistant system to receive input signals from an image capturing system configured to detect the user issuing the voice command. The vehicle compartment may be divided into several zones each associated with at least one sub-system, and the input signals from the image capturing system provide information to the control unit of the voice assistant system regarding the present zone of the user issuing the voice commands.