Embedded Systems, Edge Computing
Embedded vision is changing how people, machines interact
Embedded vision immerses the user in a more natural way by allowing the products to better augment our existing capabilities.
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Embedded systems in industrial vision applications
Embedded vision systems leverage unique technology to help applications ranging from aerospace to robotics to logistics and transform machines into intelligent systems.
Embedded sensing in autonomous navigation
While autonomous navigation is still in its early stages, there have been many technological breakthroughs.
Embedded vision applications in supply chain management
Embedded vision applications has the ability to quickly generate visual data, and it is being used at all stages of the supply chain.
What is an embedded system?
The meaning of an embedded system varies depending on the application; system integrators, end users, and original equipment manufacturers (OEMs) may have different views.
Embedded high-performance computing for industrial applications
Edge, fog, and cloud applications demand increased computing power in industrial environments using embedded controls; COM Express (Type 7) offers more and faster Ethernet connections and more throughput.
Artificial intelligence and its impact on machine vision
Several companies are working on artificial intelligence (AI) solutions for the machine vision industry that will allow AI to think more like humans by employing deep learning techniques and other functions that humans use to develop their brains.
2017 Engineers’ Choice Awards: Spotlight on innovation
Best automation, control, and instrumentation products in 28 categories.
Top 5 Control Engineering articles January 30 to February 5: IIoT advice, matrix VFD technology, choosing the best controller, more
Articles about the IIoT and manufacturing, matrix VFD technology, choosing the best controller for each application, 2017 manufacturing technology predictions, and robotics software for the next generation were Control Engineering’s five most clicked articles from January 30 to February 5. Miss something? You can catch up here.