Method of configuring laundry course based on speech recognition using artificial intelligence and device of implementing thereof
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Washing machines lack an efficient method to determine the optimal laundry course based on the current state of laundry, making it difficult for users to select the most suitable washing parameters without manual configuration.
Innovation Solution
A washing machine system that utilizes speech recognition to receive input on stains and laundry types, transmitting this information to a server to retrieve and display the most appropriate laundry course, allowing for interactive control and automatic recommendation of washing settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition is implemented to automatically determine laundry course, then ease of operation is improved, but device complexity increases due to additional speech processing components and server communication infrastructure
Solution Approach 1:
The patent introduces a server as an intermediary component that handles speech recognition and laundry course determination. The washing machine includes a communication unit that transmits speech data to the server and receives determined laundry course information back. This mediator approach allows the washing machine to gain advanced speech-processing capabilities without embedding complex speech recognition algorithms directly in the device, thus improving ease of operation while managing device complexity through externalization of complex processing functions.
2Adaptability or versatility
If speech recognition technology is integrated into the washing machine, then adaptability is improved by enabling natural language input, but device complexity increases due to additional processing units and communication interfaces
Solution Approach 1:
The communication unit in the washing machine serves multiple functions: it transmits speech data to the server, receives laundry course determination results, and manages bidirectional communication for interactive guidance. By designing this component with multi-functionality, the patent enables the washing machine to adapt to natural language input methods while avoiding the need for separate dedicated components for each function, thus improving adaptability without proportionally increasing device complexity.
3Ease of operation
If interactive speech-based control is implemented, then ease of operation is improved, but loss of time increases due to multi-step interaction process between user, machine, and server
Solution Approach 1:
The system performs preliminary speech recognition and laundry course determination on the server before the washing machine begins its operation. The server processes the speech data, determines the appropriate laundry course, and prepares control information in advance. This preliminary action on the server side reduces the time required during the actual washing operation, as the decision-making process is completed before the washing cycle starts, thus improving ease of operation while minimizing time loss.
Data Source
AI summary
A method of configuring a laundry course based on speech recognition using artificial intelligence and a device for implementing the same. A washing machine of configuring the laundry course based on the speech recognition includes a speech input unit that receives a speech included with a StainWord or a ClothWord to produce speech data, a communication unit that transmits identification information of speech data and a washing machine to a server and receive course configuring information corresponding to the StainWord or the ClothWord from the server, and a speech guidance unit that outputs a speech guide message that guides a laundry course corresponding to course configuring information, and a control unit that controls a speech input unit, a communication unit, and a speech guidance unit.