From February 26 to February 28, 2019, MVTec Software GmbH demonstrates the robustness, speed, and reliability of machine vision in embedded systems at embedded world 2019 in Nuremberg. At booth 203 in hall 4, visitors can experience the performance of the machine vision software products HALCON and MERLIC in embedded applications. In addition, MVTec experts will present exciting insights into the theory and practice of embedded vision at the embedded world Conference and in the Exhibitors’ Forum. Embedded vision and deep learning: Demos and expert lectures MVTec MERLIC 4 demonstrates its capabilities in a live demonstration by detecting and inspecting different objects using medical sample tubes as examples. All processing is done on an embedded board, eliminating the need for an industrial PC. HALCON 18.11 includes groundbreaking new deep learning features, such as semantic segmentation and object detection. Visitors can experience this technology first hand during a live demonstration: Here, an NVIDIA AGX Xavier board analyzes different objects in real time, using HALCON. HALCON’s compatibility to many hardware standards is a major advantage of the software. This is demonstrated in a second live demonstration involving four embedded boards and a linear sled. The four boards are each set to solve a vision task. Their respective cameras are aligned to different spots on an analysis object that gets moved horizontally at high speeds. This shows the speed and robustness of HALCON’s performance on embedded hardware. To round off the program, Christoph Wagner, Product Manager Embedded Vision, will give a lecture on "Deep learning versus rule-based-configurable vision software on embedded devices" at the embedded world Conference. Furthermore, MVTec will hold a presentation at the exhibitor forum on "Using MVTec software to combine deep learning and rule-based algorithms to build powerful embedded vision applications". If you require free exhibition tickets, we are happy to provide them. Please click here and register with the free e-ticket code B402037.