VISION

Share

Experience the latest products, technologies and trend themes of machine vision such as embedded vision, hyperspectral imaging and deep learning!

At VISION, you’ll learn all about the innovative possibilities presented by current and upcoming machine-vision technologies. World-leading exhibitors will be on hand to unveil the latest systems and components. In no time, you’ll have an overview of key technologies related to Industry 4.0 and automated processes. This top international trade fair will also offer plenty of inspiration in examples of real-world scenarios. Discuss your activities and requirements with the experts and gather ideas for innovative applications.

Vision 2022
4th October, 2022 - 6th October, 2022

Event Organizer

Messe Stuttgart
[email protected]
+49 711 18560 0
Visit Website

Related Content

  • ITS in the Nordic states
    April 7, 2021
    Denmark, Norway, Finland and Sweden are quietly embracing advanced traffic technologies.
    Read More
  • Foundation funds research for informed campaigning
    April 29, 2015
    ITS International talks to Professor Stephen Glaister, director of the transport research and lobbying organisation, the RAC Foundation. It is through the eyes of an economist that Professor Stephen Glaister, emeritus professor of transport and infrastructure at Imperial College London and director of the RAC Foundation, views current and future transport problems. Having spent 30 years at the London School of Economics and another 10 at Imperial, the move to the RAC Foundation was a radical departure from
    Read More
  • Automating seat belt compliance a priority for road safety
    February 2, 2012
    Finland's VTT is developing a mobile, automated seatbelt compliance system. Here, the organisation's Matti Kutila discusses progress
    Read More
  • Unlocking Toronto’s gridlock
    March 26, 2013
    A project by University of Toronto professor of civil engineering Professor Baher Abdulhai marries cameras with computers to create traffic lights that can measure vehicle flow, understand what it means, and adapt signal patterns to reduce gridlock. “We want the traffic light to learn from experience,” explained Prof. Abdulhai, who is principal investigator on the University of Toronto project, dubbed Marlin, and an expert in intelligent transportation systems (ITS). “In the Toronto experiment we cut down d
    Read More

Highlighted Content