Conference on Hyperspectral Imaging in Industry 2016 (CHII2016) Graz

Presentations about Hyperspectral Imaging in Industry, 15.06.-16.06.2016, Graz

Open Standard Group Picture (left)
Open Modified Hyperspectral Group Picture (powered by Delta Optical Thin Film A/S) (right)
 
Participants of the Conference on Hyperspectral Imaging in Industry 2016 (CHII2016), 15.06.-16.06.2016, Graz

Content:

Session 0: Welcome Addresses & Introduction

Session 1: Industrial Hyperspectral Imaging Applications

Session 2: Innovative Sensors & Systems for Hyperspectral Imaging

Session 3: Innovative Software & Solutions for Hyperspectral Imaging

Training for Hyperspectral Imaging


Wednesday, 15th June, 2016

Session 0: Welcome Addresses & Introduction

Welcome Address by Perception Park  Manfred Pail - Perception Park GmbH 160615_0a_pail_perception_park.pdf

Welcome Address by Perception Park

Manfred Pail - Perception Park GmbH
Welcome Address by Styrian Business Promotion Agency  Michael Kerschbaumer - Steirische Wirtschaftsförderung SFG 160615_0b_somerville_sfg.pdf

Welcome Address by Styrian Business Promotion Agency

Emma Somerville - Steirische Wirtschaftsförderung SFG
Welcome Address by SpectroNet Collaboration Cluster M.Eng. Paul-Gerald Dittrich - SpectroNet Collaboration Cluster 160615_0c_dittrich_spectronet.pdf

Welcome Address by SpectroNet Collaboration Cluster

Paul-Gerald DittrichSpectroNet Collaboration Cluster

Session 1: Industrial Hyperspectral Imaging Applications

Spectral Imaging supported Sorting of Construction and Demolition Waste (C&DW)  Frank Hollstein - STEINERT Elektromagnetbau GmbH 160615_01_hollstein_rtt_steinert.pdf

Spectral Imaging supported Sorting of Construction and Demolition Waste (C&DW)

Frank Hollstein - STEINERT Elektromagnetbau GmbH
Successful industrial applications of Chemical Imaging Technology (CIT®) in the potato processing industry  Dr. Matthias Jeindl - Insort GmbH
160615_02_jeindl_insort.pdf

Successful industrial applications of Chemical Imaging Technology (CIT®) in the potato processing industry

Dr. Matthias Jeindl - Insort GmbH​

Content:
  • Company structure
  • sherlock separator
  • sherlock observer
  • sherlock food analyser
Current hyperspectral imaging applications and future demands for HSI sensors  Reinhard Taucher - Binder+Co AG
160615_03_taucher_binder.pdf

Current hyperspectral imaging applications and future demands for HSI sensors

Reinhard Taucher - Binder+Co AG

Content:
  • Overview Binder
  • State of the Art
  • Application General
  • Future Demands
Lighting Considerations for Spectral Sorting  Tim Kelf - Bühler AG​
160615_04_kelf_buehler_sortex.pdf

Lighting Considerations for Spectral Sorting

Tim Kelf - Bühler AG​

Content:
  • Bühler Sortex
  • Our Requirements
  • Lighting Considerations
  • Our Solutions
Detection of Fungal Damaged Kernels in Grain Samples using Multispectral Imaging  Dr. Peter Brückner - Technische Universität Ilmenau​
160615_05_brueckner_tu_ilmenau.pdf

Detection of Fungal Damaged Kernels in Grain Samples using Multispectral Imaging

Dr. Peter Brückner - Technische Universität Ilmenau​

Outline:
  1. Motivation
  2. Single-kernel-classification
  3. Multispectral Image Acquisition System
  4. Evaluation of automated multispectral classification
  5. Summary and conclusions
  6. Future Works - Potentials for High Speed analyzing with line scan color imaging
APPLICATIONS OF HYPERSPECTRAL IMAGING IN FOOD INDUSTRY  Veerle De Graef - Flanders Food
160615_06_de_graef_flanders_food.pdf

APPLICATIONS OF HYPERSPECTRAL IMAGING IN FOOD INDUSTRY

Veerle De Graef - Flanders Food

Outline:
  • Flanders’ FOOD – Who are we and what do we do?
  • Challenges for the food industry
  • Sensor For Food project: global outline
  • Applications of hyperspectral imaging
  • Next step: i-FAST
Hyperspectral NIR Sensing combined with Machine Vision for excellence in nutrition, health and safety  Dr. Berk Yesin - QualySense AG
160615_07_yesin_qualysense.pdf

Hyperspectral NIR Sensing combined with Machine Vision for excellence in nutrition, health and safety

Dr. Berk Yesin - QualySense AG

Content:
  • Our vision
  • One-by-one analysis and sorting of grains…
  • Using 3D imaging and NIR
  • QSorter Explorer
  • Application Examples
mart Hyperspectral Analyzing and Sorting Systems  Matthias Kerschhaggl - EVK DI Kerschhaggl GmbH
160615_08_kerschhaggl_evk.pdf

Smart Hyperspectral Analyzing and Sorting Systems

Matthias Kerschhaggl - EVK DI Kerschhaggl GmbH

Content:
  • EVK Introduction
  • Selected HSI Use Cases
  • Industry Trends
  • Conclusions
State of the art of UV – MIR spectral imaging: Innovated possibilities and applications  Dr. Linas Urbonas - inno-spec GmbH
160615_09_urbonas_inno_spec.pdf

State of the art of UV – MIR spectral imaging: Innovated possibilities and applications

Dr. Linas Urbonas - inno-spec GmbH

Content:
  • HSI for Process Applications
  • Hyperspectral Imaging (HSI)
  • HSI Technology
  • Product Overview
  • Application example
ESA's activities in space-borne Imaging Spectroscopy for Earth Observation  Michael Rast - European Space Agency (ESA)​
160615_10_rast_esa_esrin.pdf

ESA's activities in space-borne Imaging Spectroscopy for Earth Observation

Michael Rast - European Space Agency (ESA)​

Content:
  • Observation Principle of Imaging Spectrometer
  • ESA Earth Observation Programmes
  • Imaging Spectrometers in ESA E.O. Missions
  • Fluorescence Signal
  • FLEX: Low and High Resolution Spectrometers
  • Imaging Spectrometers in Future EO Programme
Two-Dimensional image sensors for hyperspectral imaging applications in VIS and SWIR  Florian Schropp - Hamamatsu Photonics Deutschland GmbH
160615_11_schropp_hamamatsu.pdf

Two-Dimensional image sensors for hyperspectral imaging applications in VIS and SWIR

Florian Schropp - Hamamatsu Photonics Deutschland GmbH

Agenda:
  1. Hamamatsu Introduction
  2. SWIR: 2D InGaAs Sensors
  3. VIS: CMOS & CCD Sensors

Session 2: Innovative Sensors & Systems for Hyperspectral Imaging

Key quality parameters in hyperspectral imaging systems  Trond Løke - Norsk Elektro Optikk AS
160615_12_trond_norsk.pdf

Key quality parameters in hyperspectral imaging systems

Trond Løke - Norsk Elektro Optikk AS

Content:
  • Spatial Resolution
  • Spectral misregistration (smile effect)
  • Spatial misregistration (keystone effect)
  • How will keystone affect your processing results
  • Stray light characterization
  • Noise Equivalent Radiance (NER)
SPECIM FX SERIES  Mikko Kannelsuo - SPECIM Spectral Imaging Ltd.
  • SPECIM FX10
    • SMALL SIZE
    • FAST OPTICS
    • FLEXIBILITY
    • HIGH SPEED
    • PLUG ’N’ PLAY
    • INTEGRATION
Components for hyperspectral imaging solutions  Jörg Schmitz - STEMMER IMAGING Gmb
160615_14_schmitz_stemmer_imaging.pdf

Components for hyperspectral imaging solutions

Jörg Schmitz - STEMMER IMAGING GmbH​

AGENDA:
  • About STEMMER IMAGING 
  • Products 
  • Hyperspectral Hardware-Setup (modular) 
  • Hyperspectral Hardware-Setup (compact) 
  • Software Concept 
  • Markets 
  • Awards 
  • European Imaging Academy
SWIR camera portfolio for hyperspectral imaging  Ludger Kemper - Allied Vision Technologies GmbH​
160615_15_kemper_allied_vision.pdf

SWIR camera portfolio for hyperspectral imaging

Ludger Kemper - Allied Vision Technologies GmbH​

Content:
  • What makes SWIR so special for Hyperspectral Imaging? 
  • Goldeye Camera Series 
  • NEW GOLDEYE with CAMERA LINK INTERFACE 
  • Accessories – Heat Sink Set for Goldeye
High Resolution TDI in Hyper-Spectral Imaging  Matthias Sonder - DALSA Corporation​
160615_16_sonder_teledyne_dalsa.pdf

High Resolution TDI in Hyper-Spectral Imaging

Matthias Sonder - DALSA Corporation​

Content:
  • What is Imaging?
  • TDALSA Spectral Coverage
  • Spectral Technology
  • Hyper-Spectral Challenge
  • Reduced Resolution
  • Improvement Options
  • Extended Spectral Range
Headwall Hyperspectral Sensor Overview chii 2016  Kevin Lynch - Headwall Photonics, Inc.​
160615_17_lynch_headwall.pdf

Headwall Hyperspectral Sensor Overview chii 2016

Kevin Lynch - Headwall Photonics, Inc.​

Content:
  • Spectral Imaging Opportunity
  • Hyperspectral Imaging –Sensor Design
  • Nano-Hyperspec VNIR
  • Aibotix X6 Hyperspectral
  • Hyperspectral Sensors
  • Data Management & Software
  • HyperCore™
  • Hyperspectral Imaging using Headwall Equipment
  • Summary
CMOS BASED HYPERSPECTRAL IMAGING  Jerome Baron - imec
160615_18_baron_imec.pdf

CMOS BASED HYPERSPECTRAL IMAGING

Jerome Baron - imec

Content:
  • CONVERGENCE OF IMAGING & SPECTROSCOPY
  • OFF-THE-SHELF SPECTRAL IMAGING SENSORS
  • LINESCAN 100+BANDS HSI SENSOR DESIGN (GEN1)
  • SNAPSHOT TILED 32 BANDS HSI SENSOR DESIGN
  • HSI DEMO-KITS FOR EVALUATION
  • LINESCAN 100+BANDS HSI SENSOR (GEN1) CUBE EXAMPLE
Miniaturized hyperspectral imaging camera modules  Jürgen Hillmann - XIMEA GmbH
160615_19_hillmann_ximea.pdf

Miniaturized hyperspectral imaging camera modules

Jürgen Hillmann - XIMEA GmbH

Content:
  • HSI area scan sensors
  • HSI sensor types from imec
  • RAW image interpretation
  • Demosaicing/ interpolation/ snapshotmosaic
  • RAW image aggregation/ line scan
  • Data correction–vignetting/ snapshot mosaic
  • Data correction steps
  • Typical application fields
  • Mobile applications
Snapshot hyperspectroscopy for investigations with unmanned aerial vehicles (UAV)  Dr. René Michels - Cubert GmbH
160615_20_michels_cubert.pdf

Snapshot hyperspectroscopy for investigations with unmanned aerial vehicles (UAV)

Dr. René Michels - Cubert GmbH

Content:
  • Development overview
  • Crop Monitoring
  • Basic differences of spectral imaging technologies
  • Basic Technologies
  • Innovations 2016
  • Product Range of snapshot spectral cameras for UAVs
  • User friendly development of your applications
  • Online Results
  • 3D Hyperspectral surface model
Embedded Vision Systems For Visual Intelligence  Marco van Hout - 3D-ONE BV​
160615_21_van_hout_3d_one.pdf

Embedded Vision Systems For Visual Intelligence

Marco van Hout - 3D-ONE BV​

Content:
  • Decision making
  • Main Challenges for HSI
  • Embedded makes it easy!
  • Imaging process
  • System integration
  • Machine Vision 2.0
  • Remote Sensing
  • Applications

Session 3: Innovative Software & Solutions for Hyperspectral Imaging

Mininiaturized handheld hyperspectral cameras and imagers for mobile applications  Dr. Torsten Ledig - AMS Technologies AG
160615_22_ledig_ams_technologies.pdf

Mininiaturized handheld hyperspectral cameras and imagers for mobile applications

Dr. Torsten Ledig - AMS Technologies AG

Content:
  • Hyperspectral Imaging Realization
  • World´s First Handheld Hyperspectral Imager
  • OCI-OEM (Optical Engine)
  • OCI™ UAV Airborne Hyperspectral Package
  • Application
  • Bayspec Company Introduction
Analysis tool for multivariate images and data​  Andreas Vidman - Prediktera AB
160615_23_vidman_prediktera.pdf

Analysis tool for multivariate images and data​

Andreas Vidman - Prediktera AB

Content:
  • Easy and efficient development of applications
  • Partner with hardware companies
  • Evince
  • Breeze
  • Breeze real time prediction
Hyperspectral imaging for food inspection and analysis Opportunities and challenges  Dr. Robin Gruna - Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
160615_24_gruna_fhg_iosb.pdf

Hyperspectral imaging for food inspection and analysis Opportunities and challenges

Dr. Robin GrunaFraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

Content:
  • SWIR hyperspectral imaging in food inspection
  • Fraunhofer IOSB spectral and hyperspectral imaging lab
  • SCiO »Foodscanner«
  • Challenges in handheld and consumer spectroscopy
  • Fraunhofer IOSB study
Modular Processing of Hyperspectral Data  Lukas Daum - Perception Park GmbH
160615_25_daum_perception_park.pdf

Modular Processing of Hyperspectral Data

Lukas Daum - Perception Park GmbH

Content:
  • Perception Park – Who we are
  • Hyperspectral Data – The challenge
  • Example Application – Polymer Sorting
  • Example Application – Pharmaceutical Industry
  • Connect Competences – Create Applications
  • Processing Networks – 
  •  Basic Modules
  •  Building Networks
  •  Complexity Reduction
  • Hardware Acceleration – Perception System
Spectral Feature Cameras and Machine Learning in Challenging Industrial Applications  Heinz Fleischhacker - FECOM OG
160615_26_fleischhacker_fecom.pdf

Spectral Feature Cameras and Machine Learning in Challenging Industrial Applications

Heinz Fleischhacker - FECOM OG

Overview:
  • Spectral Feature Camera 
  • Machine Learning 
  • Examples 
  • Sensorfusion and -combination 
  • Examples 
  • Summary: How to solve applications
Linear variable bandpass filters for hyperspectral imaging  Poul Svensgaard - Delta Optical Thin Film A/S
160615_27_svensgaard_delta.pdf

Linear variable bandpass filters for hyperspectral imaging

Poul Svensgaard - Delta Optical Thin Film A/S

Content:
  • Motivation
  • Delta Optical Thin Film Today
  • Applications
  • Construction and Properties of Delta’s Filters
  • Huge range of Linear Variable Filters
  • Examples of Applications
  • New LVBPFs for Hyperspectral Imaging
Embedded computing for hyperspectral imaging  Carsten Strampe - Imago Technologies GmbH
160615_28_strampe_imago_technologies.pdf

Embedded computing for hyperspectral imaging

Carsten Strampe - Imago Technologies GmbH

Content:
  • Motivation
  • Embedded Computing
  • Today: VisionBox OCTA
  • Multicore Processor Architecture KEYSTONE
  • Architecture of the VisionBox OCTA
  • VisionBox AGE-X
  • Provide your application as a Smart Camera?
  • Architecture of a Smart Camera
Optimizing spectral imaging using custom bayer pattern based MSI solutions   Marco Snikkers - PIXELTEQ
160615_29_snikkers_pixelteq.pdf

Optimizing spectral imaging using custom bayer pattern based MSI solutions 

Marco Snikkers - PIXELTEQ

Content:
  • Product Portfolio PIXELTEQ
  • HyperSpectral sensing vs MultiSpectral sensing
  • Systematic approach leads to optimum sensing instrument for industrial or field usage
  • Hyperspectral imaging for analysing the spectral features at various stages of infection
  • Feature selection reducing bands from 37 to 8 bands
  • Pixel-level filtering, using bayer patterns
Future Developments for Photonic Measurement Engineering and Quality Assurance (PMQA)  Paul-Gerald Dittrich - SpectroNet Collaboration Cluster
160615_30_dittrich_spectronet.pdf

Future Developments for Photonic Measurement Engineering and Quality Assurance (PMQA)

Paul-Gerald Dittrich - SpectroNet Collaboration Cluster

Agenda:
  1. Selected strategies and future potentials in PMQA
  2. Challenges: New solutions for old problems in PMQA
  3. Current modules in PMQA
  4. Future developments in PMQA
  5. Collaboration community and platform for PMQA
 

Thursday, 16th June, 2016

Training for Hyperspectral Imaging

Spectral Imaging: How to select the most suitable technology for your application  Prof. Dr. Waltraud Kessler - Steinbeis Transferzentrum Prozesskontrolle und Datenanalyse (STZ)
160616_01_kessler_chii_tutorial.pdf

Spectral Imaging: How to select the most suitable technology for your application

Prof. Dr. Rudolf KesslerSteinbeis Transferzentrum Prozesskontrolle und Datenanalyse (STZ)

Agenda:
  • Definitions
  • Representative Samples, Sampling
  • Optical Spectroscopy: Sensitivity
  • Robustness, Signal to Noise, Instrumental
  • Errors, Selectivity
  • Working in Opaque Systems
  • Summary
Analysis of Hyperspectral Data by Multivariate Data Analysis  Prof. Dipl. Phys. Waltraud Kessler - Steinbeis Transferzentrum Prozesskontrolle und Datenanalyse (STZ)
  • What are Hyperspectral Data?
  • What is Multivariate Data Analysis (MVA)?
    • Principal Component Analysis (PCA)
    • Partial Least Squares Regression (PLS)
    • Calibration, Validation – Finding the optimal model
  • Can we use – do we need MVA for Hyperspectral Data?
  • Real world examples for analyzing Hyperspectral Data with MVA:
    • Sorting of Plastics
    • Quantitative Analysis of an active pharmaceutical ingredient (API) in tablets.
Hyperspectral Imaging in Industry  Markus Burgstaller - Perception Park GmbH
  • Introduction
  • General Terms
  • Hyperspectral Data & Processing
  • Feature Based Processing
  • Chemical Color Imaging
  • Industrial Application
  • Hyperspectral Operating Environment
Machine Learning and Hyperspectral Imaging  Prof. Dr. Horst Bischof - Technische Universität Graz
  • Hyperspectral Imaging: What is so special!
    •  Highdimensional Spaces
  • Subspace Methods & Unsupervised
  • Supervised Methods
  • Conclusions
 

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