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Auterion Delivers Supercomputer Performance Onboard Drones and Mobile Robots With AI Node

Turn-key solution runs AI and ML algorithms directly at the edge, processing high bandwidth sensor data on drones to support advanced applications and immediate decision-making

Auterion, the company building an open and software-defined future for enterprise drone fleets, announced the availability of AI Node for pre-order, an onboard computer for drones and other mobile robots that adds supercomputer performance to Skynode , right at the edge. AI Node easily integrates with Auterion’s open ecosystem, resulting in a greater choice of powerful solutions for end users.

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AI Node is equipped with the NVIDIA  Jetson Xavier  NX, the world’s smallest AI supercomputer for embedded and edge systems, which enables the direct processing of high bandwidth sensor data for better decision-making during operations. Compute-heavy AI and ML algorithms for object recognition, tracking and counting can be used, on mission, in advanced applications for public safety, security, and wildlife conservation, and across industry use cases.

“As enterprises leverage more powerful cameras and sensors on drones,, the huge amount of data being created will overload any current data link, including 5G,” said Markus Achtelik, vice president of engineering at Auterion. “It’s much more efficient to process raw data onboard via supercomputer, so that the operator or even the software itself can engage in real-time decision-making. AI Node delivers the horsepower to run modern neural networks in parallel and distill data from multiple high-resolution sensors—which translates into faster innovation for enterprises and other organizations.”

With AI Node, drone manufacturers, like Watts Innovations, can now easily build systems capable of running high performance AI algorithms onboard.
“Some of our customers have very specific requirements necessitating a considerable amount of onboard computing,” said Bobby Watts, CEO and principal engineer at Watts Innovations. “For this, we turned to Auterion and AI Node, which allows us to run GPU intensive software onboard for applications such as vision-based precision landing, real-time mission navigation and other vision-based capabilities. Because AI Node is a part of Auterion’s tight ecosystem, the integration and implementation is as clean as could be.”

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Other benefits of AI Node include:

  • Immediate development and prototyping. Teams can plug and play with a wide range of interfaces to connect various payloads and sensors. By flexibly integrating into customer ecosystems and running Auterion OS with established developer workloads, users can easily develop applications on AI Node.
  • Extended memory and flexible usage. Users can leverage fast, non-volatile integrated memory for data logging and big neural networks, and they can enjoy flexible use with a very wide input voltage range.
  • Optimized deployment. It’s easy to optimize algorithms with the NVIDIA  libraries and deploy apps in containers with the Auterion developer tools.
  • Deep compatibility with Skynode .  Built for SkyNode, AI Node seamlessly integrates with it and the entire Auterion open ecosystem. AI Node is available as an off-the-shelf unit for immediate use, or as a reference design for customers to build their own hardware module. Since AI Node runs Auterion OS, the same software Skynode uses, it provides the user with an identical user experience. Enterprises also can leverage OEM versions of AI Node as teams run their own form factor in production.

Software developers, like Spleenlab, are enabling new and more advanced solutions for end customers. “With AI Node, drone manufacturers and integrators can deploy Spleenlab’s compute-heavy VISIONAIRY  software and advanced AI algorithms directly onboard drones,” said Stefan Milz, CEO of Spleenlab. “This allows them to increase the safety of systems by executing tasks like ground-risk estimations. Working with Auterion’s AI Node is a win-win for us as providers and users of their software. We especially appreciate how easy it is to connect and collaborate with other manufacturers within their ecosystem.”

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