Image-Based Textile Soiling Detection Using Outline and Color Analysis
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Solution Overview
Problem
Identifying and accurately determining the composition and origin of impurities on textiles, such as garments and bedding, is challenging due to similarities in appearance and the lack of clear identification methods, which complicates effective cleaning processes.
Innovation Solution
A method and device that utilize image detection to determine soiling properties based on the outline and color of stains, providing detailed information about the composition and origin of impurities, including parameters like form, structure, size, and contour, to facilitate accurate cleaning strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only color detection is used to identify impurities, then the detection method is simple, but the identification accuracy is insufficient
Solution Approach 1:
The impurity detection process is segmented into multiple independent analysis dimensions: color analysis, outline analysis, and structure analysis. Each dimension extracts specific features independently, and their results are combined to achieve comprehensive identification. This segmentation allows the system to maintain operational simplicity while improving identification accuracy by analyzing multiple aspects of the impurity.
Solution Approach 2:
The system transitions from one-dimensional color detection to multi-dimensional analysis by incorporating outline characteristics and structural features as additional dimensions. This dimensional expansion enables the system to distinguish between impurities with similar colors but different shapes or structures, thereby improving identification accuracy without significantly complicating the detection method.
2Reliability
If detailed analysis of impurity properties is performed, then cleaning effectiveness is improved, but the complexity of the detection system increases
Solution Approach 1:
The detection system automatically performs comprehensive analysis of impurity properties including color, outline, and structure without requiring manual intervention or complex configuration. The system self-adapts to different impurity types by extracting relevant features and generating appropriate cleaning recommendations, thereby improving cleaning effectiveness while keeping the operational complexity low.
Solution Approach 2:
The detection system is designed with multi-functionality to handle various types of impurities using a unified approach. It can detect and analyze different impurity characteristics (color, outline, structure) and provide comprehensive cleaning recommendations for diverse soiling types, thereby improving cleaning effectiveness across different scenarios without requiring separate specialized systems for each impurity type.
3Loss of information
If multiple properties of soiling are determined, then the information about impurity composition is more accurate, but the time required for detection increases
Solution Approach 1:
The system performs preliminary analysis by first detecting the most prominent impurity characteristics (such as color and basic outline) and uses this initial information to guide further analysis. This preliminary action allows the system to quickly identify obvious impurity types while reserving more detailed analysis for cases where additional information is needed, thereby reducing overall detection time while maintaining information completeness.
Solution Approach 2:
The system implements a tiered analysis approach where it performs partial analysis for common impurity types that can be identified with limited properties, and excessive (comprehensive) analysis only when necessary for ambiguous or complex cases. This selective application of analysis depth reduces average detection time while ensuring complete information is available when needed for accurate impurity composition determination.
Data Source
AI summary
A method performed by one or more devices is disclosed. The method includes detecting a first image information item indicative of at least one soiling on a textile, determining a soiling information item indicative of at least one property of the soiling on the textile where the at least one property is determined based at least in part on the detected first image information item and the at least one property of the soiling is determined based at least in part on a property dependent on the outline of the soiling, and outputting or causing the outputting of the determined soiling information item. Furthermore, a device and a system for performing the subject method is disclosed.