From June 19-22, MVTec will be exhibiting at automatica 2018 in Munich, Germany. At booth 305 in hall B5, the leading provider of standard machine vision software shows how machine vision can be used to optimize processes in automation and robotics. Live demonstrations enable visitors to experience the use of modern machine vision technologies in automation scenarios up close. HALCON 18.05: Deep learning on embedded boards HALCON 18.05, the newest version of HALCON, enhances the deep learning capabilities introduced in the previous version 17.12. A live demonstration, using the JetsonTX2 embedded board from NVIDIA, shows how embedded devices can be used for deep learning, with various objects being classified in real time. The demo impressively shows that embedded hardware is also suitable for sophisticated machine vision tasks. Another demo visualizes an application scenario in the area of robotics. A robot arm reaches into a collection of objects and reliably locates the position of the relevant object thanks to the modern matching technologies of MVTec HALCON. The arm precisely removes this object from the crate, recognizes it with a 2D camera and innovative deep learning technology, and sets it aside. MERLIC 4 Preview: Parallelization and use of Hilscher cards MERLIC 4 Preview was released in March 2018. Among other features, it includes new parallelization capabilities, i.e. the parallel execution of independent tools. This can be seen in action at a live demo featuring two cameras performing various inspection tasks. Here, MVTec also illustrates how a programmable logic controller (PLC) can be integrated seamlessly into vision systems using MERLIC. In the future, MERLIC will be even better integrated into automation solutions via Hilscher cards, for example with the aid of Profibus. The first successful tests have already been carried out for this trend-setting development. To round off this varied array of demonstrations, Prof. Carsten Steger, Director of Research at MVTec, will take part in the automatica Forum with a presentation about "Usage scenarios for machine learning in industrial imaging - examples of current projects in the food and pharmaceutical industries".