Machine Vision Technology Forum 2019 - Downloads

The fourth round of STEMMER IMAGING’s Machine Vision Technology Forum clearly exceeded our expectations.

More than 200 imaging experts and users from the Netherlands, Belgium and Luxembourg accepted the invitation and made ’s-Hertogenbosch the centre of machine vision in the Benelux.

During the event, more than 40 presentations on current technology trends in the field of machine vision were held in four parallel tracks.

Please note: These PDF documents are intended solely for the use of Technology Forum participants and should not be forwarded to others.

IIOT - INDUSTRIAL INTERNET OF THINGS

Exploring the advantages of AI-enabled machine vision in intelligent manufacturing
Xavier Serra, Richard Allan
Adlink Technology Inc.

Machine vision in challenging environments - which IP protection rating makes sense for my application?
Andreas Beetz,
Autovimation GmbH

Standards, system benefits drive convergence of machine vision, industrial internet of things (IIoT)
Tony Carpenter, Matt Pinter,
Smart Vision Lights

EMBEDDED VISION

Tips for setting up an industrial embedded vision system
Christoph Noth, Richard Oakley, Gion-Pitschen Gross
Allied Vision Technologies GmbH

Creating robust machine vision systems with Windows IOT – Microsoft's embedded platform
Mark Williamson,
STEMMER IMAGING Ltd.

Embedded Vision Cookbook
Rupert Stelz, Martin Kersting
STEMMER IMAGING AG

Performance comparison of different embedded processors
Martin Kersting, Rupert Stelz,
STEMMER IMAGING AG

Developing cost-effective multi-camera systems with MIPI sensor modules
Roland Ackermann,
The Imaging Source Europe GmbH

Lasers for Embedded Vision
Stephan Broche,
Z-Laser GmbH

3D TECHNOLOGY

Modular compact sensors: A new type of 3D laser triangulation sensor
Stephan Kieneke, Athinodoros Klipfel,
Automation Technology

Random bin picking. Last step for a complete factory automation process
Toni Ruiz, Jorge Romeo,
Infaimon S.L.

Scanning glass and specular surfaces with smart 3D technology
Lucien Vleugels, Christian Benderoth,
LMI Technologies Inc.

Practical aspects of time-of-flight imaging for machine vision
Ritchie Logan,
Odos Imaging

Bin picking - From programming to CAD modeling
Pavol Cobirka,
Photoneo s.r.o.

New method for surface inspection using structured illumination
Fernando Schneider,
SAC Sirius Advanced Cybernetics GmbH

Shape-from-Focus – an unexpected but powerful 3D imaging technology
Dr. Tobias Henzler,
STEMMER IMAGING AG

CAD based 3D object recognition
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG

Improving productivity with high-quality, eye-safe 3D machine vision
Moez Tahir,
Zivid

MACHINE LEARNING

Deep learning as part of modern machine vision applications
Adriano Biocchi,
MVTec

Accelerating deep learning with hardware acquisition and pre-processing
Sebastien Granatelli,
Silicon Software GmbH

Machine learning basics - an introduction to the types of machine learning
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG

Neural networks - functionality and alternative approaches
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG

Modern vision application development and rapid prototyping in CVB with C++, .Net and Python
Rupert Stelz, Volker Gimple
STEMMER IMAGING AG

SPECTRAL IMAGING

Smart Infrared Cameras: A new technological approach for Industry 4.0
Michael Wandelt,
Automation Technology GmbH

Prism-based Multispectral Imaging for Machine Vision Applications
Michael Lund, David Richards,
JAI A.S.

Hyperspectral apps - vertical solutions for industry
Markus Burgstaller,
Perception Park GmbH

Fabric recycling with NIR hyperspectral cameras
Dr. Mathieu Marmion, Dr. Katja Lefevre,
Specim Spectral Imaging Ltd.

Hyperspectral imaging - future technology and applications
Dr. Jon Vickers, Gerhard Stanzel,
STEMMER IMAGING

High performance SWIR cameras in machine vision and process control
Guido Deutz, Mathew Vincent,
Xenics N.V.

FUTURE TRENDS

CoaXPress state-of-the-art and new features brought by the version 2.0
Netherlands only
Euresys S.A.

A new bio-inspired vision category to reveal the unseen to machines
UK only
Davide Migliore,
Prophesee

Imaging trends in 2019 and beyond
Graham Brown, Christian Loeb,
Teledyne DALSA Inc.

Vision systems of the future – a combination of technologies
Patrick Menge,
Teledyne DALSA Inc.

Next generation linescan imaging technologies
Andreas Lange,
Teledyne DALSA Inc.

Benefits from USB3 vision system with IP core technology
France only
Shunsuke Oka,
Toshiba Teli

How small to large businesses can benefit from using cobots and vision
UK only
Mark Gray,
Universal Robots

FUNDAMENTALS

Lighting - a key enabler in machine vision applications
Matthias Dingjan,
CCS Europe N.V.

Vision system validation
Steve Mott,
CEI Components Express Inc.

A deeper understanding of some of the complexities within LED lighting control
Martin House, Jool Hudson,
Gardasoft Vision Ltd.

Get the glare out! New polarized sensors paired with LED lighting solutions
James Gardiner
Metaphase Technologies Inc.

Key features of a quality machine vision optical filter
Georgy Das, Mariann Kiraly,
Midwest Optical Systems Inc.

Influence of optical components on imaging performance
Jörg Blätz,
Jos.Schneider Optische Werke GmbH

Improving colour camera picture quality with oversampling
Jerome Avenel,
Sony Corp.

Optical 2D measurement using the example of connectors and pins
Lars Fermum,
STEMMER IMAGING AG

Modern measurement technologies using the example of connectors and pins
Lars Fermum,
STEMMER IMAGING AG

Intrinsic calibration of light line sensors
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG

Calibration in machine vision - methods and requirements
Maurice Lingenfelder, Lothar Burzan,
STEMMER IMAGING AG

Imaging without processing – recording image streams
Dr. Jon Vickers, Volker Gimple,
STEMMER IMAGING Ltd.

"But this can be easily seen" - Solution strategies for the selection of the ideal illumination
Lars Fermum,
STEMMER IMAGING AG

The polarisation of light – making hidden things visible
Dr. Tobias Henzler,
STEMMER IMAGING AG

What could be the reason? Troubleshooting machine vision applications
Maurice Lingenfelder, Lothar Burzan
STEMMER IMAGING AG