Material Identification Spectral Analysis Two-Phase Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current spectral analysis methods for identifying materials using electromagnetic radiation face challenges in speed, precision, and reliability, particularly in non-destructive testing applications like baggage scanning, due to restricted energy ranges and photonic noise, which complicates the identification of materials like plastics and metals.
Innovation Solution
A method that involves a two-phase estimation process, where a preliminary selection of candidate materials is made based on a common energy band wider than traditional methods, followed by a detailed comparison of spectral coefficients with reference parameters to improve identification reliability, using a device with an emitter and spectrometric detector, and a computer program for data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spectral analysis methods use a restricted common energy band for material identification, then the complexity of the analysis is reduced, but the reliability and precision of material identification deteriorates
Solution Approach 1:
The patent divides the spectral analysis into two phases: a first phase that performs a preliminary material identification using a restricted common energy band to reduce complexity, and a second phase that performs a refined identification using a wider energy band for improved reliability. This segmentation allows the system to balance computational complexity with identification accuracy by processing materials through different analysis depths.
Solution Approach 2:
The patent implements a preliminary selection step before the final material identification. In the first phase, the system quickly narrows down candidate materials using a restricted energy band, then uses this preliminary result to guide the second phase analysis. This preliminary action reduces the computational burden of the subsequent detailed analysis while maintaining high reliability through the two-phase approach.
2Measurement precision
If the energy band for spectral comparison is expanded to improve identification accuracy, then the precision of material identification is improved, but the processing time and complexity increase
Solution Approach 1:
The patent segments the spectral comparison process into two distinct phases with different energy band scopes. The first phase uses a restricted common energy band for quick preliminary identification, while the second phase expands to a wider energy band for precise final identification. This segmentation enables the system to achieve high measurement precision without proportionally increasing processing time, as the majority of quick filtering is done in the first phase.
Solution Approach 2:
The first phase serves as a preliminary filtering step that quickly eliminates non-matching materials using a restricted energy band. This preliminary action reduces the number of candidates that require the computationally intensive second phase analysis with the wider energy band, thereby maintaining high precision while controlling overall processing time.
3Productivity
If traditional methods perform direct comparison of spectral coefficients across all reference materials, then the identification process is simpler, but the speed of material identification deteriorates
Solution Approach 1:
The patent implements a two-phase estimation process that segments the material identification workflow. The first phase performs a rapid preliminary estimation using a restricted energy band to quickly identify candidate materials. The second phase then performs a more detailed estimation on the narrowed-down candidate set using a wider energy band. This segmentation dramatically improves identification speed by avoiding the computationally intensive task of comparing all reference materials in a single step.
Solution Approach 2:
The first phase acts as a preliminary filtering mechanism that quickly reduces the search space of reference materials. By performing this preliminary estimation before the second phase, the system avoids the time-consuming operation of directly comparing spectral coefficients across all reference materials, thereby achieving high productivity while managing complexity through the structured two-phase approach.
4Measurement precision
If photonic noise is reduced to improve spectral measurement quality, then the measurement precision is improved, but the measurement time and loss of photons increase
Solution Approach 1:
The patent segments the spectral measurement and analysis into two phases with different precision requirements. The first phase uses a restricted energy band where lower measurement precision is acceptable, allowing faster acquisition with less photon collection time. The second phase applies higher precision measurement only to the narrowed-down candidate materials using a wider energy band. This segmentation reduces overall measurement time while maintaining sufficient precision for accurate material identification.
Solution Approach 2:
The first phase performs a preliminary spectral analysis with relaxed precision requirements, allowing the system to quickly process measurements with shorter acquisition times and fewer photons. This preliminary measurement filters out clearly non-matching materials before the second phase performs high-precision measurements on candidates. This approach reduces the total measurement time and photon loss while maintaining adequate precision through the two-stage process.
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
This approach enhances the reliability and accuracy of material identification by expanding the common energy band used for comparison, thereby improving the precision and speed of the identification process, even for challenging materials like plastics and metals.
Implementation Method 1
spectral analysis of electromagnetic radiation able to pass through this material
Implementation Method 2
measurement of a spectrum of electromagnetic radiation emitted through the material to be identified
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The invention relates to a method for identifying a material, which comprises the following steps: measuring (200) a spectrum of electromagnetic radiation transmitted through the material to be identified; determining (202, 204) at least one energy band, referred to as a measurement band, and spectral coefficients of a comparison function in said measurement band, from the measured spectrum; estimating (PH1, PH2), using predetermined spectral coefficients, the nature and/or thickness of the material to be identified on the basis of a set of reference spectral parameters relating to reference thicknesses and/or materials and defined within reference bands. The estimation comprises at least the two following steps: previously selecting (208i, 208p) a plurality of reference thicknesses and/or materials, referred to as possible candidates, from a comparison of the spectral coefficients determined with at least one portion of the reference spectral parameters; and estimating (222) the nature and/or thickness of the material to be identified, from a comparison of the spectral coefficients determined with the spectral parameters of at least one portion of the possible candidates, in at least one energy band that is common to the reference bands of said at least one portion of the possible candidates and the measurement band.