AI Guidance Robot With Automatic Language Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current robots in airports and multiplexes face delays in providing language-specific guidance services as they require user input to select the language, causing inconvenience.
Innovation Solution
A robot equipped with a microphone and camera that uses artificial intelligence to automatically recognize the user's language through voice or image data, allowing it to switch and provide guidance in the recognized language without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot requires user input to select the language, then the language service can be provided accurately, but the service provision is delayed causing user inconvenience
Solution Approach 1:
The robot performs preliminary language detection and recognition before the user has to manually select a language. By using the microphone to capture voice data and the camera to capture image data (such as passport or ID card), the system proactively determines the user's language preference in advance, eliminating the need for manual language selection and reducing service delay.
Solution Approach 2:
The robot enables self-service language detection by automatically analyzing voice data and image data to identify the user's language without requiring manual input. The system processes the captured data through language recognition algorithms and automatically switches to the detected language, allowing the user to receive services in their preferred language without active participation in the language selection process.
2Productivity
If the robot uses automatic language recognition through voice and image data, then the service speed is improved, but the device complexity increases
Solution Approach 1:
The robot integrates multiple functions into a unified language detection system. The same processor that handles general robot operations also performs language recognition by analyzing voice data from the microphone and image data from the camera. This multi-functional approach allows the system to achieve fast language detection without requiring separate dedicated hardware for each function, thereby improving service speed while controlling device complexity.
Solution Approach 2:
The system uses an intermediary processing layer that receives both voice data and image data, processes them through language recognition algorithms, and outputs the detected language. This intermediary layer acts as a mediator between the data capture devices and the language service provision, enabling automatic language switching while maintaining a manageable system architecture through modular processing.
Data Source
AI summary
A robot for providing a guidance service in a first language using artificial intelligence includes a microphone configured to receive voice data, a camera configured to acquire image data, an output unit, and a processor configured to determine a second language used to provide the guidance service based on one or more of the voice data or the image data, change the language used to provide the guidance service from the first language to the second language when the determined second language is different from the first language and output the guidance service through the output unit in the changed second language.