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Microdrones participates in NVIDIA Jetson Developer Meetup at Embedded World 2018

Siegen, Germany, March 08, 2018 (GLOBE NEWSWIRE) -- The Microdrones Team was pleased to participate in their first NVIDIA Jetson Developer MeetUp event at Embedded World 2018

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  Pictured: Sven Juerss of Microdrones holds a presentation on the mdLiDAR1000


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  Pictured: Microdrones mdLiDAR1000 at NVIDIA Jetson Developer Meet Up at Embedded World 2018


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You might be asking yourself why Microdrones, which specializes in professional unmanned aerial geospatial applications was at an event hosted by NVIDIA, a company known for creating graphic processors (GPUs) that power modern computer graphics, the largest PC gaming platforms and even enhance cinematic visual effects for Hollywood.

It’s because the NVIDIA Jetson TX1 module is the main processor housed inside the mdLiDAR1000.  After NVIDIA revolutionized the world of PC graphics with the invention of the GPU in 1999, they moved on to GPU accelerated computing. Today, NVIDIA GPUs play a huge role in accelerating artificial intelligence & deep learning applications, in platforms ranging from vision systems and autonomous vehicles to drones and robots. 

Attending the Developer MeetUp at Embedded World 2018 was an excellent opportunity for Microdrones to share their experience with the use of the NVIDIA Jetson TX1 platform in the mdLiDAR1000, while making industry connections and partnerships.  The future will bring many other opportunities to integrate NVIDA technology with Microdrones UAV solutions.

At the event, Sven Juerss from Microdrones delivered a presentation on the mdLiDAR1000 system and how the Jetson TX1 is integrated. The NVIDIA Jetson TX1 is a supercomputer on a module the size of a credit card that allows the drone to perform complex analysis much faster.

Inside the mdLiDAR1000, it acts as the main processing unit, operating the laser sensor and industrial camera while synchronizing data between the GNSS-Inertial system.  The AI supercomputer also relays information about the state of the payload housed by the UAV in communication with the operator.  The NVIDIA Jetson TX1 gives the mdLiDAR10000 the ability to achieve real-time mapping and sensing capabilities that offer instant results.

Juerss noted that, “NVIDIA Jetson TX1 is the most powerful embedded AI platform on the market. Not only does it offer the shortest processing time, it also allows for future upgrades and continuous improvements to our platform.”

The audience was very receptive to the presentation and afterwards the team had a chance to meet with other industry developers.  The entire event was a fantastic opportunity to explore new ways to integrate Microdrones solutions with other groundbreaking applications.

Microdrones also manned a booth where attendees could take a look at the mdLiDAR1000 up close and personal.

About Microdrones 

Founded in Germany in 2005, Microdrones developed the world's first commercial quadcopter and the company continues to lead the industry with their professional UAV solutions.

By pairing robust drones with cutting-edge sensors, Microdrones offers advanced turn-key solutions that make it easy for businesses to start using UAVs for surveying, mapping, construction, inspection, precision agriculture, mining, and other commercial applications. A heritage of quality German engineering, extra-long flight times, resistance to environmental challenges, and technology like direct georeferencing make Microdrones solutions exceptionally safe, efficient, and cost-effective choices for commercial users.

Microdrones serves markets around the globe. To learn more about Microdrones, visit lp.microdrones.com/news

Attachments:

A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/9dc0ce01-55a9-457d-b22f-810da6282efa

A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/57909693-edaa-45f9-8019-c270d1e36b6d

A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/956428a1-afe0-4825-8d3d-b94fa9c713ac