In October 2018, the provider of standard software for machine vision MVTec will launch a seminar series titled “MVTec Technology Day – Deep Learning”. It will offer background information about the use of modern deep learning technologies in machine vision applications. Two different dates are offered for this all-day workshop in Munich: October 9 and October 17. Furthermore, a short two-hour seminar will take place at Vision in Stuttgart. Participants will be able to obtain practical professional knowledge that can be implemented immediately.

The seminars in Munich, which are limited to 20 participants, will be held at the Design Offices Arnulfpark. At the Vision seminar, a maximum of 30 visitors can participate – no registration is necessary. Additional training sessions are planned for February 2019. Detailed information about the seminars is being added continuously under www.mvtec.com/news-press/mvtec-events/#c3377.

Another seminar in English language will be offered by MVTec on August 23 in Quincy, MA, USA. Here, attendees will gain practical experience on solving deep learning applications with Halcon. They will learn how to train and deploy applications on an embedded platform integrated with a standard GigE vision camera. The workshop will be suited to both current users of HALCON as well as people with general interest in the subject. Further information on this seminar can be found at www.mvtec.com/news-press/mvtec-events/#c3339.

Focus on new Halcon releases

The seminars in Munich and Stuttgart are in German language and are primarily targeted at users of the MVTec Halcon software product. Up to three deep learning experts from the MVTec Solutions Team will lead the training sessions. Attendees will have the opportunity to learn about deep learning technologies available in the most recent Halcon release, 18.05, and will also receive a glimpse of the upcoming Halcon version 18.11, which will be released in November 2018. The training will focus on Halcon functions as well as specific application examples.