Artificial intelligence-based clothing managing apparatus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional clothing treatment appliances require manual selection and input of treatment information, which is inefficient and lacks effective fine dust removal, especially for wet clothing, and do not adapt to individual user preferences or environmental conditions.
Innovation Solution
An AI-based clothing management apparatus that uses image recognition and weight sensors to automatically determine the type and state of clothing, set optimal treatment information, and perform fine dust removal based on learned data, allowing for automatic drying and treatment without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection and input of treatment information is required, then the appliance can provide various treatment courses, but the operation becomes complex and time-consuming for users
Solution Approach 1:
The system automatically detects clothing type, state, and environmental conditions, then autonomously determines and executes the optimal treatment course without requiring user selection or input, making the system serve itself
Solution Approach 2:
The system continuously monitors clothing state (wet/dry, dust levels) and environmental conditions (fine dust concentration, temperature, humidity), using this feedback to dynamically adjust and optimize the treatment process in real-time
2Reliability
If conventional treatment processes are used, then the appliance can treat clothing, but fine dust removal is ineffective especially for wet clothing
Solution Approach 1:
The system performs preliminary drying treatment before fine dust removal when clothing is detected to be wet, creating optimal conditions for subsequent dust elimination and preventing dust from being trapped in moisture
Solution Approach 2:
The system dynamically adjusts the treatment process based on real-time detection of clothing state and fine dust levels, modifying parameters such as air flow, temperature, and treatment duration to optimize dust removal effectiveness
3Device complexity
If the appliance does not adapt to environmental conditions, then the treatment process is simple, but treatment effectiveness decreases under varying environmental factors
Solution Approach 1:
The system incorporates sensors to detect environmental conditions (temperature, humidity, fine dust concentration) and uses this feedback to automatically adjust treatment parameters, ensuring effective treatment across varying environmental conditions
Data Source
Figure 1
Figure 2(a)~2(b)
Figure 3
AI summary
The present invention relates to an artificial intelligence-based clothing management apparatus for receiving clothes in a hung state and treating the clothes, and a control method thereof. The apparatus may include an clothing containing portion disposed in a cabinet (10) for receiving clothing to be treated in a hung manner; a camera (45) to generate image information of the clothing contained in the clothing containing portion; a user interface (100) configured to receive treatment information of the clothing from a user; and a processor (160) configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from the user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the apparatus to treat the clothing based on the set current treatment information.