Photonic Micro Sensors for Color and Spectral Characterization of Transparent Liquids in Laboratories and In-Field
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1 10 th Anniversary 10. International Conference on Measurement May 25-28, 2015, Smolenice Castle, Slovakia Dietrich Hofmann Randolf Margull Paul-Gerald Dittrich Daniel Kraus Photonic Micro Sensors for Color and Spectral Characterization of Transparent Liquids in Laboratories and In-Field SpectroNet c/o Technologie- und Innovationspark Jena GmbH Wildenbruchstraße 15, D Jena Telefon: +49 (0) URL: FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
2 Agenda: 1. Subjective Color Inspections 2. Objective Color & Spectral Measurements of Liquids 3. Data Interpretation for Color Measurements with Photonic Micro Sensors 4. Color & Spectral Measurement Results from Photonic Micro Sensors 5. Further Investigations for the Harmonization of Measurements with Photonic Micro Sensors 6. Summary & Conclusions 2
3 10 th Anniversary 1. Subjective Color Inspections FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
4 1.1 Why Colors have to be Measured In industry, biology/medicine and environment there are many applications where the color is a direct or indirect characteristic for the quality of a product or process. Quality parameters characterized by colors are: appearances states compositions Objective and reproducible color measurements for quality determination of products and processes in laboratories and in-field are necessary. 4
5 1.2 Standardized Scales for Color Inspection of Liquids Colored Liquids Chemicals & Industrial Oils Petroleum Oils & Fuels Dark Oils & Fats Beers, Malts & Caramel Pharmaceutical Solutions Industrial Oils & Surfactants Sugars, Syrups & Honeys Water & Wastewater Transparent Liquids Liquid and Application Specific Color Characterization Pt-Co/Hazen/APHA, Garner, Iodine, CIE values, spectral data Saybolt, ASTM Color, Pt-Co/Hazen/APHA, CIE values, spectral data FAC, Gardner, CIE values, spectral data EBC (CIE & 430 nm), ASBC (CIE & 430 nm), CIE values, spectral data EUR, US & Chinese Pharmacopoeia Color, Pt-Co/Hazen/APHA, CIE values, spectral data Klett Color (blue filter KS-42), Pt-Co/Hazen/APHA, CIE values, spectral data ICUMSA Color (420, 560, 710 nm), Honey Color, CIE values, spectral data ADMI (spectral & tristimulus filter methods), Pt-Co/Hazen/APHA, CIE values, spectral data CIE values, L*a*b* or L*C*h* color space, Hunter Lab color space, spectral data 5
6 1.3 Representation of Saybolt Color Scale Quality Analysis of Petroleum Oils & Fuels waste still usable fresh Saybolt Scale for Petroleum Oils & Fuels 6
7 10 th Anniversary 2. Objective Color & Spectral Measurements of Liquids FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
8 2.1 Methods for Color Measurements of Liquids Photonic Measurement Methods Emission Remission Transmission e.g. LED and OLED Lights e.g. Papers and Fabrics e.g. Mineral Oils and Fuels Measurement of Illuminations Measurement of Surfaces Measurement of Liquids Remission Emission Transmission 8
9 2.2 Sensors for Color Measurements of Liquids Dimensional RGB-Spectral XYZ-Spectral Multi-Spectral Spectral Hyper-Spectral 9
10 Relative intensity Relative intensity Relative Intensity 2.3 Sensor Characteristics for Color Measurements of Liquids Photonic Micro Sensors Spectral Responsitivity Measurement Values RGB Sensor Tristimulus Sensor Multi-Spectral Sensor 1 0,8 0,6 0,4 0, ,8 0,6 0,4 0, ,8 0,6 Wavelength in nm Wavelength in nm 0,4 0, Wavelength in nm RGB XYZ Tristimulus Six Sampling Points Spectrum Spectral Sensor 10
11 2.4 Conventional Measurement Systems for Liquids From stationary laboratory to mobile in-field measurements Development of convenient, reliable and affordable smart mobile measurement devices for analytical measurements in-field LICO 690 Hach Lange GmbH, Düsseldorf > PrimeLab Pool-i.d. GmbH, Mannheim >
12 2.5 Modularized Smart Measurement Systems for Liquids From stationary laboratory to mobile in-field measurements Modularization of Micro Sensors Miniaturization of Smart Computers Consumerization of Applications Convenient, Reliable and Affordable Micro Sensor Modules and Smart Computers for Photonic Characterizations of Optically Clear Colored Liquids 12
13 2.6 Calibration Kits for Color Measurement Systems Calibration Kits for Color Measurements Calibration LEDs X-Rite Colorchecker RAL Color Fan VIS color liquids VIS color glasses 13
14 10 th Anniversary 3. Data Interpretation for Color Measurements with Photonic Micro Sensors FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
15 3.1 Pros and cons of Photonic Micro Sensors Tristimulus Sensors Multi-Spectral Sensors Spectral Sensors Items Resolution Low Medium High Costs Low Medium High Speed High High Low Accuracy Low Medium High 15
16 3.2 Multi-Spectral Sensor - Value Calibration 1 Sensor 0, Target S Multi-Spectral Sensor Value Matrix , K Illuminant Calibration methods Eigenvalue method Polynomial regression method Hardeberg method Wiener method 16
17 3.3 Multi-Spectral Sensor - Value Correction 1 0,5 Sensor Target Colorspace Multi-Spectral Sensor Values Spectra Color Values Illuminant Calibration Matrix K Standard Observer Standard Illuminant 17
18 3.4 Standards for Data Interpretation from Sensors DIN 5033: Colorimetry; spectrophotometric method colored liquids as XYZ tristimulus values in transmission ASTM E : Standard Practice for Computing the Colors of Objects by Using CIE System ASTM D : Standard Test Method for Color of Petroleum Products by the Automatic Tristimulus Method 18
19 10 th Anniversary 4. Color & Spectral Measurement Results from Photonic Micro Sensors FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
20 4.1 Measurement Results for Multi- & Spectral Sensors Probe5 Petroleum Oils & Fuels Probe3 Probe2 Probe6 Probe7 Probe8 Probe1 Probe4 Color Values: Normal Probe Spectral Sensor Multi-Spectral Sensor Probe1 Probe4 Probe8 Probe7 Probe6 Probe2 Probe3 Probe5 ΔE 0,185 0,066 0,098 0,068 0,151 0,072 0,036 0,047 20
21 4.2 Transformation of Measurement Results into Saybolt Scale Probe5 Probe3 Probe2 Probe6 Probe7 Probe8 Probe4 Probe1 Tristimulus Sensor -32,759-14,204-8,835-6,347 1,602 6,490 29,996 42,862 Multi-Spectral Sensor -32,279-14,020-8,786-6,056 1,573 6,408 29,835 42,240 Spectral Sensor -32,314-13,969-8,659-5,759 1,748 6,718 30,052 42,982 Saybolt Scale for Petroleum Oils & Fuels
22 10 th Anniversary 5. Further Investigations for the Harmonization of Measurements with Photonic Micro Sensors FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
23 Applying Calibration Methods on Further Photonic Micro Sensors # 01 Dielectricinterference filter # 02 # 03 # 04 Nano-structured hole array filter Micro-patterned filter Fabry-perot filter Ilumination Liquid Probe Sensor Sensor Values Ilumination Spectrum Liquid Spectrum Sensor Sensitivities Standard Calibration Methods Polynomial regression method Eigenvalue method Hardeberg method Wiener method Calculation Method Compressed Sensing Algorithms Recovery of Random Signals using Deterministic Matrices Conditioning of Random Submatrices Sparse Recovery via 1-Minimization Full Spectral Value Reconstruction 23
24 10 th Anniversary 6. Summary & Conclusions FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
25 6.1 Summary & Conclusions Innovative convenient, reliable and affordable measuring instruments with photonic micro sensors enable objective colorimetric characterizations of optically clear colored liquids at the point of interest. Micro-colorimeter modules with multi-spectral sensors have the same color accuracy as spectral sensor modules in terms of colorimetric characterizations of optically clear colored liquids. Micro-colorimeter modules with multi-spectral sensors can be calibrated by any kind of linear independent liquid color solutions. Highly accurate colorimetric characterization of liquids according to DIN EN 1557 and ASTM D can be seamless applied to micro-colorimeter modules with multi-spectral sensors. Smartpads are convenient, reliable and affordable mobile quality assurance systems in combination with micro-colorimeter and micro-spectrometer modules and specialized image processing software. 25
26 6.2 Photonic Micro Sensors - Design and Applications Photonic Micro Sensor Hardware Apps Photonic Micro Sensor Software Apps Photonic Micro Sensor Systems Hardware App + Software App + Smartpad + Dimensional Color Spectral Hyper-Spectral 5 cm + 26
27 You are cordially invited as Speakers and/or Participants 10 th Anniversary JENCOLOR ZEISS SpectroNet SENSORIK BAYERN Cross-clustering Collaboration Forum , Jena, Germany INNOVATIVE APPLICATIONS FOR PHOTONIC MICRO SENSORS 4.0 WITH DIGITAL IMAGE PROCESSING You are cordially invited as speakers and/or participants Further Information see in time at 27
28 10 th Anniversary 10. International Conference on Measurement May 25-28, 2015, Smolenice Castle, Slovakia Thank you for your attention Dietrich Hofmann Randolf Margull Paul-Gerald Dittrich Daniel Kraus SpectroNet c/o Technologie- und Innovationspark Jena GmbH Wildenbruchstraße 15, D Jena Telefon: +49 (0) URL: FUNDED BY: MEMBER OF THE INITIATIVE: CERTIFIED BY:
1. Introduction 2. Objectivation of Inspections via Measurements 3. Practical Application of Micro Sensor Systems 4. Summary & Conclusions
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