Method for building personal style database and apparatus therefor
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Solution Overview
Problem
Existing clothing processing appliances cannot share clothing-related information, preventing the creation of a user's personal style database and resulting in inability to provide personalized clothing recommendations based on weather, schedule, and transportation information.
Innovation Solution
A method and apparatus that collect and analyze clothing image information from multiple appliances to build a personal style database, using deep neural networks to generate clothing property information and merge records when similarity exceeds a threshold, incorporating user ID, weather, and schedule information to provide tailored recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clothing processing appliances operate independently, then each appliance can process clothing effectively, but clothing-related information cannot be shared between appliances
Solution Approach 1:
The patent merges multiple independent clothing processing appliances into a connected system where appliances (washing machine, dryer, refresher, steamer) communicate with each other through a network. This allows clothing information to be shared across appliances while maintaining their individual processing capabilities, resolving the contradiction between independent operation and information sharing.
Solution Approach 2:
The patent creates a universal clothing management system that can handle multiple types of clothing processing appliances through a common interface and database structure. The system universally processes information from different appliance types, enabling information sharing across diverse devices while preserving their specific functions.
2Measurement precision
If user manually registers clothing information, then accurate personal style database can be built, but user convenience deteriorates
Solution Approach 1:
The system automatically collects clothing information from appliances without requiring user registration or manual input. The washing machine, dryer, refresher, and steamer autonomously generate and share clothing processing data, building the personal style database through self-service operations while maintaining high information accuracy.
Solution Approach 2:
The patent replaces the mechanical process of manual user registration with an automated information collection system. Sensors, cameras, and communication modules in the appliances automatically capture and transmit clothing information to the database, eliminating the need for user interaction while preserving data accuracy.
3Adaptability or versatility
If multiple appliances collect clothing information, then comprehensive personal style database can be built, but system complexity increases
Solution Approach 1:
The patent introduces a central server or cloud platform as an intermediary that receives, standardizes, and processes information from multiple appliances. This mediator manages the complexity of data integration, allowing comprehensive personal style database construction while shielding users from system complexity through a unified interface.
Data Source
AI summary
A personal style database building apparatus and method in which communicate a plurality of clothing processing appliances, and a server with each other in a 5G communication environment by executing a loaded artificial intelligence (AI) algorithm and/or a machine learning algorithm. The personal style database building method according to an exemplary embodiment of the present disclosure includes analyzing first and second clothing image information collected from a first and a second clothing processing appliance to be built the first and the second clothing image information as first and second clothing record information in a database, comparing the first and the second clothing record information, and building merged record information in which the first and the second clothing record information in the database when a similarity between the first and the second clothing record information is equal to or higher than a predetermined reference value as a comparison result.