Apparatus for managing fabric and method for operating the apparatus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of clothes treating apparatuses must manually set operation modes and select start buttons, which is inconvenient and reduces user satisfaction.
Innovation Solution
The apparatus automatically sets and activates operation modes based on clothing image information using a camera to analyze the type, material, and contamination level of clothes, and communicates with washing machines and dryers to automate washing and drying processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation mode setting is implemented, then device complexity is reduced, but ease of operation deteriorates
Solution Approach 1:
The clothes treating apparatus automatically detects clothing type, material, and contamination level through image processing, and self-determines the appropriate operation mode without user input. The system serves itself by analyzing captured images and autonomously selecting treatment parameters, eliminating the need for manual mode selection while maintaining operational simplicity for the user.
Solution Approach 2:
The apparatus performs preliminary analysis of clothing characteristics through image capture and processing before the treatment operation begins. By pre-analyzing the clothing type, material, and contamination level, the system prepares the appropriate operation mode in advance, enabling automatic startup without requiring users to manually configure settings.
2Ease of operation
If automatic operation mode setting based on image analysis is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual mechanical operation (physical button pressing and mode selection) with an automated optical and computational system. Image processing algorithms and AI-based analysis substitute for mechanical user interactions, automatically determining treatment modes based on visual analysis of clothing characteristics.
Solution Approach 2:
The system introduces an intermediary image processing module that acts as a mediator between the user and the treatment operation. This intermediary automatically analyzes clothing images and translates visual information into appropriate operation mode selections, bridging the gap between user intent and system execution without requiring direct user configuration.
3Productivity
If image analysis is performed to determine operation mode, then productivity is improved, but use of energy increases
Solution Approach 1:
The system performs partial image analysis focused specifically on extracting clothing type, material, and contamination level information rather than comprehensive image processing. By applying selective analysis algorithms that target only relevant features, the system achieves sufficient productivity improvement while minimizing energy consumption compared to full-image processing.
Data Source
AI summary
The present disclosure relates to a clothes treating apparatus that operates by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things, and a method for operating the clothes treating apparatus. The method for operating the clothes treating apparatus includes acquiring a clothing image by using a camera to photograph a user wearing clothes and standing in front of a mirror display placed on a front surface of the clothes treating apparatus, analyzing the clothing image, setting an operation mode of the clothes treating apparatus according to the result of analyzing the clothing image, and causing the clothes treating apparatus to operate according to the set operation mode. It is possible to improve user satisfaction by automatically setting and activating an operation mode of a clothes treating apparatus based on clothing image information.