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Basler at Embedded World

Basler will showcase its extended solution portfolio for embedded vision at this year's Embedded World show, taking place February 25 to 27 in Nuremberg (Germany) in cooperation with strong partners such as NXP, Nvidia, Microsoft and Amazon Web Services.

As one of the highlights of the show, Basler will release the first camera module and matching Add-on Camera Kits for the launch of NXP's latest i.MX 8M Plus applications processor. The i.MX 8M Plus features a dual camera Image Signal Processor (ISP) and, for the first time, an accelerator for neural networks. In combination with the new Basler camera modules, the resulting vision system provides the perfect solution for intelligent, vision-based machine learning applications.

As a further highlight, Basler will present its new AI Vision Solution Kit with cloud connection. Basler is thus taking another step towards ease-of-use for its customers and now offers not only hardware and system software but also a complete AI and machine learning oriented system with flexible cloud support. The AI Vision Solution Kit gives customers direct access to the cloud services of AWS (Amazon Web Services). This enables a particularly fast introduction to the topic of embedded vision with cloud functionality for deep learning and ML applications.

Basler has also further expanded its partnership with Nvidia: by integrating the dart BCON for MIPI camera modules on the Jetson platform, as for example the Jetson Nano or the Jetson TX2-Series, Basler supports its customers in implementing sophisticated embedded vision applications. After NXP, Qualcomm, and intel, Basler is thus expanding its solution portfolio with another major processor manufacturer.

Various live demonstrations in the areas of digital signage, security access control, and motion analysis (skeleton tracking) will show the possibilities offered by Basler's embedded vision solutions. The Basler booth is located in Hall 2, Booth 2-550.

Labels: Embedded World,Basler,artificial intelligence,machine learning,cloud,vision

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