
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.
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
Andreas Beetz,
Autovimation GmbH
Standards, system benefits drive convergence of machine vision, industrial internet of things (IIoT)
Tony Carpenter, Matt Pinter,
Smart Vision Lights
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
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.
Mark Williamson,
STEMMER IMAGING Ltd.
Performance comparison of different embedded processors
Martin Kersting, Rupert Stelz,
STEMMER IMAGING AG
Martin Kersting, Rupert Stelz,
STEMMER IMAGING AG
Developing cost-effective multi-camera systems with MIPI sensor modules
Roland Ackermann,
The Imaging Source Europe GmbH
Roland Ackermann,
The Imaging Source Europe GmbH
3D TECHNOLOGY
Modular compact sensors: A new type of 3D laser triangulation sensor
Stephan Kieneke, Athinodoros Klipfel,
Automation Technology
Stephan Kieneke, Athinodoros Klipfel,
Automation Technology
Random bin picking. Last step for a complete factory automation process
Toni Ruiz, Jorge Romeo,
Infaimon S.L.
Toni Ruiz, Jorge Romeo,
Infaimon S.L.
Scanning glass and specular surfaces with smart 3D technology
Lucien Vleugels, Christian Benderoth,
LMI Technologies Inc.
Lucien Vleugels, Christian Benderoth,
LMI Technologies Inc.
New method for surface inspection using structured illumination
Fernando Schneider,
SAC Sirius Advanced Cybernetics GmbH
Fernando Schneider,
SAC Sirius Advanced Cybernetics GmbH
Shape-from-Focus – an unexpected but powerful 3D imaging technology
Dr. Tobias Henzler,
STEMMER IMAGING AG
Dr. Tobias Henzler,
STEMMER IMAGING AG
MACHINE LEARNING
Accelerating deep learning with hardware acquisition and pre-processing
Sebastien Granatelli,
Silicon Software GmbH
Sebastien Granatelli,
Silicon Software GmbH
Machine learning basics - an introduction to the types of machine learning
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG
Neural networks - functionality and alternative approaches
Stefan Schwager, Phil Gralla,
STEMMER IMAGING AG
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
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
Michael Wandelt,
Automation Technology GmbH
Prism-based Multispectral Imaging for Machine Vision Applications
Michael Lund, David Richards,
JAI A.S.
Michael Lund, David Richards,
JAI A.S.
Fabric recycling with NIR hyperspectral cameras
Dr. Mathieu Marmion, Dr. Katja Lefevre,
Specim Spectral Imaging Ltd.
Dr. Mathieu Marmion, Dr. Katja Lefevre,
Specim Spectral Imaging Ltd.
Hyperspectral imaging - future technology and applications
Dr. Jon Vickers, Gerhard Stanzel,
STEMMER IMAGING
Dr. Jon Vickers, Gerhard Stanzel,
STEMMER IMAGING
High performance SWIR cameras in machine vision and process control
Guido Deutz, Mathew Vincent,
Xenics N.V.
Guido Deutz, Mathew Vincent,
Xenics N.V.
FUTURE TRENDS
How small to large businesses can benefit from using cobots and vision
UK only
Mark Gray,
Universal Robots
UK only
Mark Gray,
Universal Robots
FUNDAMENTALS
A deeper understanding of some of the complexities within LED lighting control
Martin House, Jool Hudson,
Gardasoft Vision Ltd.
Martin House, Jool Hudson,
Gardasoft Vision Ltd.
Get the glare out! New polarized sensors paired with LED lighting solutions
James Gardiner
Metaphase Technologies Inc.
James Gardiner
Metaphase Technologies Inc.
Key features of a quality machine vision optical filter
Georgy Das, Mariann Kiraly,
Midwest Optical Systems Inc.
Georgy Das, Mariann Kiraly,
Midwest Optical Systems Inc.
Modern measurement technologies using the example of connectors and pins
Lars Fermum,
STEMMER IMAGING AG
Lars Fermum,
STEMMER IMAGING AG
Calibration in machine vision - methods and requirements
Maurice Lingenfelder, Lothar Burzan,
STEMMER IMAGING AG
Maurice Lingenfelder, Lothar Burzan,
STEMMER IMAGING AG
Imaging without processing – recording image streams
Dr. Jon Vickers, Volker Gimple,
STEMMER IMAGING Ltd.
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
Lars Fermum,
STEMMER IMAGING AG
What could be the reason? Troubleshooting machine vision applications
Maurice Lingenfelder, Lothar Burzan
STEMMER IMAGING AG
Maurice Lingenfelder, Lothar Burzan
STEMMER IMAGING AG