ADLINK and NVIDIA: AI at the Edge

ADLINK and NVIDIA are working together now to deliver Edge Computing products which include AI and deep learning technologies. At Embedded World, where ADLINK demoed autonomous mobile robotics and other Factory-of-the-Future and Smart City technologies, we were talking to Edgar Chen, Managing Director of ADLINK’s Embedded Platforms & Modules Business Unit and to Eddie Seymour, Director Embedded Business EMEAI at NVIDIA

“The combination of ADLINK embedded systems and connectivity solutions with NVIDIA’s AI and deep learning technologies is ideal for any edge computing application”, said Edgar Chen. “This includes robotics, autonomous vehicles, healthcare and many other industries.”

“Our Jetson module brings real-time AI performance where it is needed most. Processing of complex data can now be done on-board edge devices”, said Eddie Seymour. “This means you can count on fast, accurate inference in everything from robots and drones to enterprise collaboration devices and intelligent cameras. Bringing AI to the edge unlocks huge potential for devices in network-constrained environments. To address these new applications, NVIDIA was looking for a partner like ADLINK who can build longevity into the products and can harden them against temperature, vibration and shock, etc. ”

At their Embedded World booth, ADLINK demonstrated an autonomous mobile robot platform using ROS 2, an open source software stack specifically designed for factory-of-the-future connected solutions. Features of this technology include object recognition software and the real-time sharing of data between mobile robots. Another ‘AI at the Edge’ demonstration featured smart camera technology that can scan barcodes on irregularly shaped objects. This platform provides the capability to differentiate between various kinds of products, thus optimizing product classification and lifecycle traceability. A third ‘AI at the Edge’ demonstration was a platform designed to calculate vehicle flow for improved traffic management in a Smart City context.


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