Articles and background information on the topic
With the Finlay computer-on-module, Seco presents a new embedded solution. It is based on the Intel Atom CPU of the x7000E series, Intel Core i3 CPU and Intel processors of the N series. Finlay has been specially developed for media processing.
read more...Since the move towards the Industrial Internet of Things (IIoT) and Industry 4.0 has picked up speed, processor boards and modules must be able to process exponentially growing amounts of data.
read more...Digital platforms are springing up like mushrooms. Every company involved in digitalization and Industry 4.0 has at least considered the potential benefits of its own digital platform, and many are already on the market. There are numerous providers, the technology is mature and proven a thousand times over.
read more...Sensors and industrial image processing
The leading automation technology and industrial image processing companies Sick and MVTec Software are intensifying their strategic cooperation.
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...Many companies in the field of industrial image processing still lack the expertise and time to familiarize themselves with the potential of artificial intelligence. The hardware for the efficient use of AI has long been available.
read more...2021 was a successful year for the sensor company Sick, headquartered in Waldkirch. In the past financial year, the company generated incoming orders of 2,321 million euros and sales of 1,964 million euros.
read more...As a versatile and compact computer, the Raspberry Pi is also interesting for industry. However, appropriate adaptations to the harsh production environment are necessary to bring the Raspberry Pi world into factories.
read more...Machine learning processes open up new possibilities for evaluating data in a useful way, thereby increasing the level of intelligence of machines and systems.
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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