Articles and background information on the topic
Together with AI technology, IIoT networking makes it possible to better control machine parameters and optimize quality with predictive quality. Downtimes and set-up times can also be further minimized. Cloud platforms also make these technologies more accessible for SMEs.
read more...Interview with Gabriele Zocchi
Augmented and virtual reality differ in the degree of virtualization, but can now work with one and the same software - and in multi-user applications. Gabriele Zocchi, Technical Product Owner at Holo-Light, explains how it works.
read more...Developed with the idea of open collaboration in sectors such as education, e-commerce, healthcare and production, open source software (OSS) has become an integral part of software development.
read more...Data generated by automation systems often remains unused. An edge-to-cloud IIoT solution makes it possible to access this valuable information.
read more...Today, hardly anyone doubts that the mechanical engineering of the future is and must be digital. But there are stumbling blocks along the way that need to be avoided. Otherwise, there is a risk that digitalization efforts will not lead to the smart factory of the future, but will become a permanent construction site.
read more...Ixon CEO Willem Hofmans talks in an interview about the market situation and growth opportunities for machine manufacturers.
read more...Although many countries were still in lockdown at the beginning of the year, 2021 turned out to be a year of major technological innovations.
read more...A leading car manufacturer relies on the precision and efficiency of Festo's servo-pneumatic welding guns.
read more...The TQMaRZG2x embedded module is the first result of the collaboration between TQ and Renesas. In addition to a wide range of interfaces, this new module class has many features that can be used to implement HMI.
read more...New AI methods for picking robots
Festo is conducting research in the FLAIROP project together with KIT and partners from Canada to make picking robots more intelligent using distributed AI methods. To this end, they are investigating how training data from several stations, several plants or even companies can be used without participants having to disclose sensitive company data.
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