18389451. CLOTHES CARE APPARATUS AND CONTROL METHOD THEREOF simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
CLOTHES CARE APPARATUS AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Yongwon Jeong of Suwon-si (KR)
CLOTHES CARE APPARATUS AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18389451 titled 'CLOTHES CARE APPARATUS AND CONTROL METHOD THEREOF
Simplified Explanation
The patent application describes a clothes care apparatus that uses an optical sensor module to analyze the materials of clothes items in the chamber and determine the appropriate care operation course.
- Main body with clothes care chamber
- Optical sensor module with light receiving elements sensitive to different wavelengths
- Processor to analyze sensing values, acquire spectroscopic data, and determine materials of clothes items
- Trained neural network model to input feature information and provide material information
- Operation course determined based on material information
Potential Applications
- Home laundry appliances
- Dry cleaning machines
- Commercial laundry services
Problems Solved
- Incorrect care methods damaging clothes
- Inefficient use of resources in laundry processes
- Lack of personalized care for different materials
Benefits
- Improved clothes care efficiency
- Reduced damage to clothes
- Personalized care based on material analysis
Original Abstract Submitted
A clothes care apparatus includes a main body including a clothes care chamber configured to accommodate one or more clothes items; an optical sensor module configured to photograph an inside of the clothes care chamber, the optical sensor module including a plurality of light receiving elements arranged in an array, each of the plurality of light receiving elements being sensitive to different wavelength bands; and a processor configured to: acquire, from the plurality of light receiving elements, a sensing value for the one or more clothes items accommodated in the clothes care chamber, acquire spectroscopic data for the one or more clothes items accommodated in the clothes care chamber based on the sensing value, acquire feature information corresponding to the one or more clothes items accommodated in the clothes care chamber based on the spectroscopic data, input the feature information into a trained neural network model, acquire, from the trained neural network model, information on materials of the one or more clothes items accommodated in the clothes care chamber, and determine an operation course of the clothes care apparatus based on the information on the materials of the one or more clothes items accommodated in the clothes care chamber.
