Laundry Load Surface Detection for Automatic Cycle Selection
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Solution Overview
Problem
Laundry treating appliances often require manual selection of cycles by users, which can lead to inefficient operation and inappropriate use of resources, especially for smaller loads where manual selection may result in overspray or underspray of treating chemistry, affecting drying performance and energy efficiency.
Innovation Solution
The integration of an imaging system within the appliance to determine the surface area of laundry based on image data, allowing the controller to automatically select the appropriate cycle parameters such as rotational speed, temperature, and treating chemistry usage, optimizing the drying process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual cycle selection is used, then device complexity is reduced, but manufacturing precision deteriorates due to inappropriate treating parameters for different load sizes
Solution Approach 1:
The system automatically detects laundry load size using image processing and autonomously selects appropriate treating cycles and parameters, eliminating the need for manual user input while ensuring precise parameter selection matched to the actual load characteristics
Solution Approach 2:
The patent replaces manual mechanical cycle selection with an automated optical detection system using cameras and image processing algorithms to determine load size and automatically adjust treating parameters, substituting human operation with computational analysis
2Ease of operation
If manual cycle selection is used, then ease of operation is improved, but loss of substance increases due to overspray or underspray of treating chemistry
Solution Approach 1:
The system automatically detects laundry load size using image processing and autonomously selects appropriate treating cycles and parameters, eliminating the need for manual user input while ensuring precise parameter selection matched to the actual load characteristics
Solution Approach 2:
The system captures images of the laundry load, processes the visual data to determine load size, and uses this information to adjust treating chemistry dosage and cycle parameters accordingly, creating a closed-loop control system that optimizes resource usage
3Device complexity
If manual cycle selection is used, then device complexity is reduced, but energy efficiency deteriorates due to inappropriate temperature and time parameters
Solution Approach 1:
The system automatically detects laundry load size using image processing and autonomously selects appropriate treating cycles and parameters, eliminating the need for manual user input while ensuring precise parameter selection matched to the actual load characteristics
Solution Approach 2:
The system dynamically adjusts treating parameters including temperature, time, and chemical dosage based on detected load size characteristics, optimizing energy consumption by matching process intensity to actual laundry requirements rather than using fixed manual settings
Data Source
AI summary
The invention relates to a laundry treating appliance and method for controlling the operation of the laundry treating appliance by determining the surface area of the laundry based on image data of the laundry.


