Multispectral Plastic Detection System for Water Environments
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Solution Overview
Problem
Current methods for detecting and classifying floating plastics, macro-plastics, micro-plastics, and nano-plastics in water environments offer only coarse detection and classification, limiting the effectiveness of clean-up operations.
Innovation Solution
A system utilizing detection devices configured for different wavelengths to differentiate between plastics, employing data processing with AI and real-time methods, and incorporating multispectral laser/Lidar for precise spatial mapping and classification, including UV, blue-green, and red laser beams for specific plastic detection and organic substance identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If common detection techniques are used, then the detection system is simple and easy to operate, but the detection precision and classification accuracy remain coarse
Solution Approach 1:
The detection system is segmented into multiple independent detection devices, each optimized for specific plastic size categories (macro-plastics, micro-plastics, nano-plastics). Each device uses appropriate detection wavelengths and methods for its target size range, enabling high-precision detection across different scales while maintaining modular system architecture that manages complexity.
Solution Approach 2:
The system employs multiple detection wavelengths (UV, blue-green, red lasers) and adjusts detection parameters based on plastic size and composition. By changing optical parameters (wavelength, intensity) and detection thresholds, the system achieves high measurement precision for different plastic types without requiring completely different detection systems.
2Measurement precision
If multiple detection wavelengths are used, then the classification accuracy of different plastics is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The detection system is divided into specialized modules, each handling specific wavelength ranges and plastic size categories. This segmentation allows each module to be optimized for its specific function while the overall system achieves comprehensive classification accuracy through coordinated operation of these specialized components.
Solution Approach 2:
The system integrates multiple detection wavelengths and methods into a unified multi-functional platform that can detect and classify all plastic types (macro, micro, nano) in a single operation. This universal approach improves classification accuracy while consolidating what would otherwise require multiple separate devices.
3Loss of information
If comprehensive spatial mapping and chemical analysis are performed, then the information quality on plastic distribution is improved, but the data processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary spatial mapping and classification using optical detection before detailed chemical analysis. By pre-processing data to identify plastic locations, sizes, and basic compositions, the system reduces the computational burden of subsequent detailed analysis, maintaining high information quality while reducing overall processing time.
Solution Approach 2:
The detection system operates continuously with real-time data processing pipelines that handle spatial mapping, classification, and chemical analysis in an integrated flow. This continuous operation minimizes idle time and ensures that information quality is maintained throughout the detection process without significant delays.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves accurate detection and classification of plastics, providing detailed spatial distribution, geo-location, and chemical composition analysis, enabling efficient clean-up operations and discrimination from natural phenomena.
Implementation Method 1
The different detection wavelengths are used for evaluating elastic and/or non-elastic scattering of visible and/or invisible light
Implementation Method 2
The different detection wavelengths are used for evaluating elastic and/or non-elastic scattering of visible and/or invisible light
Implementation Method 3
a blue-green laser beam for micro-plastics detection, a green laser beam for macro-plastics detection and/or a red laser beam for the detection of plastics or objects
Implementation Method 4
The system is configured to use a UV beam for nano-plastic and/or organic substance detection, wherein the system is configured to evaluate elastic scattering to provide specific signatures of substances, in particular evaluating fluorescence to detect and discriminate against organic material
Data Source
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AI summary
The invention relates to a system (100) for detecting plastics, macro-plastics, micro-plastics and nano-plastics in a maritime, estuary or river environment. The system (100) comprises a plurality of detection devices (101a, 101b, 101c) for detecting the plastics, the macro-plastics, the micro-plastics and the nano-plastics in the environment, the detection devices (101a, 101b, 101c) being configured for detection using different detection wavelengths. The system (100) further comprises a data processing device (103), comprising a communication interface (104) and a processor (105). The communication interface (104) is configured to receive detection signals from the plurality of detection devices (101a, 101b, 101c). The processor (105) is configured to determine locations of the plastics, the macro-plastics, the micro-plastics and the nano-plastics in the environment upon the basis of the received detection signals within a common coordinate system.