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World's Fastest Commercial Drone Powered by NVIDIA Jetson TX1 2016.07.23

Austin, Texas, USA - July 22, 2016 - Records were made to be broken, and drones are no exception. Teal Drones unveiled its first production product, Teal, a Jetson TX1-powered drone capable of flight speeds in excess of 70 mph. That makes Teal the world's fastest production drone. Image recognition systems are growing increasingly sophisticated - but they don't come close to matching the efficiency of the ones we carry around with us inside our skulls. As part of an effort to close that gap, our Jetson TX1 embedded computing module swept both tracks of the recent Low Power Image Recognition Challenge, held in Austin, Texas, at the IEEE Rebooting Computing event.

George Matus’ startup has built the world’s fastest production drone.
Photo courtesy of NVIDIA
 

Austin, Texas, USA - July 22, 2016

Records were made to be broken, and drones are no exception.

Teal Drones unveiled its first production product, Teal, a Jetson TX1-powered drone capable of flight speeds in excess of 70 mph.

That makes Teal the world’s fastest production drone.


http://www.nvidia.com/object/jetson-tx1-module.html  

But Teal is as much a flying supercomputer platform as it is “just” a drone.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
Set to ship with an SDK and its own operating system - Teal OS - Teal is designed with user- and developer-friendliness firmly in mind.

The drone will ship fully assembled and ready to fly straight out of the box, with the SDK providing access to software and hardware development via onboard USB ports.

Built for a wide variety of uses, from drone racing to industrial applications, Teal features an onboard camera for still image and video capture, integrated storage and a microSD expansion slot, and the full visual computing power of the NVIDIA Jetson ecosystem for machine learning, image recognition, and autonomous navigation applications.

The company’s backstory is nearly as compelling as its first product.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
Teal Drones was founded by George Matus, Jr. Matus built his first drone from scratch at age 14, was selected as a Thiel Fellow at 16, and as CEO of Teal Drones, built the fastest production drone in the world at the ripe old age of 18.
To hear him tell it, the drone itself is just the beginning of his vision for Teal.


18-Year-Old’s Startup Rolls Out Teal, World’s Fastest Commercial Drone


Some kids are fascinated by spaceships and flying machines. Others spend hours building model airplanes. Or memorizing names of their favorite spacecrafts.

NVIDIA Jetson TX1 the world's most advanced system for embedded visual computing, delivering the highest performance, the latest technology, and the best development platform.
Photo courtesy of NVIDIA
 
But only one kid has built a drone at age 14, won a fellowship from a tech investor at age 17, and a year later launched a record-breaking product under his own company.

Meet George Matus, Jr., a lifelong flight enthusiast, former teenage world champion drone pilot, Thiel Fellow and CEO of Teal Drone.

At age 18, George rolled out his company’s first product, which happens to be the world’s fastest production drone, capable of flying 85 mph.


“Teal,” as Matus put it, “is the realization of a dream.”

Powered by NVIDIA Jetson TX1, Teal is an airborne supercomputing platform.

http://www.nvidia.com/object/jetson-tx1-module.html  


NVIDIA Jetson TX1 the world's most advanced system for embedded visual computing, delivering the highest performance, the latest technology, and the best development platform.
Photo courtesy of NVIDIA
 
The drone, which will be available soon, will ship fully assembled with the onboard flight control Follow-Me feature, which allows the drone to autonomously follow a person.
Plus it comes with a partially charged battery so you can immediately unbox Teal and start having fun.

Matus is focused on making drones fun and useful to a wide variety of customers.

George Matus and the world’s fastest drone.
Photo courtesy of NVIDIA
 
The drone is built with a wide-angle camera so users can capture 4K video and 13-megapixel stills.

Teal is going all-in on user-friendliness, with multiple modes for beginners and “hardcore racers” alike, and the ability to control Teal from a smartphone, tablet or hobby controller.

George Matus and the world’s fastest drone.
Photo courtesy of NVIDIA
 
Priced at $1300, Teal comes with its own software platform, Teal OS, and an SDK to encourage a new class of flying apps that use machine learning, autonomous flight and image recognition.

The SDK gives full access to Jetson TX1’s visual computing power, as well as onboard USB expansion ports.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
Speaking of hardware, other key specs include
:

• Onboard camera: 13MP wide field of view & 4K video

• 16 GB internal storage

• microSD card slot

• Onboard GPS/GLONASS navigation with Differential and RTK GPS (a first for production drones)

• Flight range: 300 ft (using mobile device) / 2,500 ft (via Wi-Fi extender)

• Capable of flight in 40+ mph winds

• Water resistant

• Ships with two fast-charge batteries

• Optional Endurance Package doubles flight time


World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
Measuring just 261mm on the diagonal, a fully assembled Teal is small enough to fit in a standard backpack.
And did we mention this drone can fly 85 mph?

Teal Drones is taking pre-orders now.

For more information, head over to the Teal Drones site.

https://tealdrones.com/  


World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 

NVIDIA Jetson Wins by Landslide in Image Classification Efficiency Challenge


Image recognition systems are growing increasingly sophisticated – but they don’t come close to matching the efficiency of the ones we carry around with us inside our skulls.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
As part of an effort to close that gap, our Jetson TX1 embedded computing module swept both tracks of the recent Low Power Image Recognition Challenge, held in Austin, Texas, at the IEEE Rebooting Computing event.

http://www.nvidia.com/object/jetson-tx1-module.html  

We’ve invested substantial resources in the power efficiency of Jetson’s GPU compute architecture.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
In gaming and professional design, this means fluid framerates on a frugal power budget.

But in the realm of computer vision, performance per watt enables rapid control loops and near real-time responsiveness from an autonomous machine, such as a drone or a robot.

The Low Power Image Recognition Challenge began when NVIDIA’s David Kirk and Yung-Hsiang Lu at Purdue University, decided that image recognition on a power budget was a worthy challenge.

https://news.developer.nvidia.com/tag/image-recognition/  

The first two years presented modest challenges, with smaller groups of researchers, Yung-Hsiang notes.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
He plans to expand the competition over the coming years, including larger prizes.

Power efficiency is essential to making certain sophisticated computer vision applications — like smart drones, head-mounted displays and object recognition capabilities for cell phones.

World’s Fastest Commercial Drone Powered by NVIDIA Jetson TX1.
Photo courtesy of NVIDIA
 
People can identify objects (and do so much more) with a brain that consumes about 20 watts.

By contrast, the best classifiers in the world run in supercomputers, data centers and workstations, which draw thousands of watts.


Maximizing Accuracy, Minimizing Power, with Jetson

On the day of the competition, contestants brought their hardware and logged into a server with a reference Python script.

The server then delivered up to 20,000 images for each system to recognize in 10 minutes.

George Matus and the world’s fastest drone.
Photo courtesy of NVIDIA
 
The contest’s organizers connect each team’s hardware to a power meter.

The goal is to classify with the greatest accuracy, but using the least amount of power.

The server calculates scores by dividing the accuracy of the classifier by the average power consumed by the device.

This year’s winning team used a Jetson TX1 running the latest release of cuDNN 4.0.

The team implemented Bing+ Fast-RCNN for Track 1 and Faster-RCNN within Caffe for Track 3.


Photo courtesy of NVIDIA
 
“TX1 has all that we want from a mobile device: throughput, low power and flexibility to choose precision mode,”
says Wang Ying, the principal investigator and advisor for the winning team.
“There are a lot of CNN-based recognition frameworks emerging: fast-rcnn, yolo, ssd, etc. They provide enough options for us to find the most suitable one for both the challenge and the TX1 hardware.”


Winning Strategy: Keeping Jetson’s CPU and GPU Busy

Wang, a professor at the Chinese Academy of Sciences, says the key to success is balancing the workload between the CPU and the GPU, keeping both fully occupied at all times.

The winners and organizers of LPIRC 2016.
Photo courtesy of NVIDIA
 
Starting with NVIDIA Tesla K40 GPU accelerators, the team did a “design space exploration” to determine the best models to use on both desktop GPUs and the Jetson TX1 embedded system.


http://www.nvidia.com/object/tesla-servers.html  

Through many iterations, they discovered that model pruning and singular value decomposition tended to reduce the size of their CNN models.

The contestants and organizers of LPIRC 2016.
Photo courtesy of NVIDIA
 
The team also attempted to use cuFFT and the cuSparse to optimize their pipeline, but didn’t find this sort of approach to help their speed.

Smart.
But researchers will have to exercise their minds a little more if we’re going to create image recognition systems that match the brain’s own efficiency, making this a contest to watch for years to come.


 
 
Source: NVIDIA Corp.


http://nvidianews.nvidia.com/  



ASTROMAN Magazine - 2016.07.23

A TITAN for a Titan: NVIDIA CEO Jen-Hsun Huang Presents New TITAN X to Baidu’s Andrew Ng


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2090  


ASTROMAN Magazine - 2014.04.21

New York International Auto Show Fortified with NVIDIA-Powered Audis, BMWs, Rolls-Royce


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1700  


ASTROMAN Magazine - 2013.10.19

NVIDIA Introduces G-SYNC Technology for Gaming Monitors


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1574  


ASTROMAN Magazine - 2013.08.10

Google, IBM, Mellanox, NVIDIA, Tyan Announce Development Group for Data Centers


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1511  


ASTROMAN Magazine - 2013.07.13

NVIDIA Tesla GPU Accelerators Power World's Most Energy Efficient Supercomputer


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1497  


ASTROMAN Magazine - 2012.08.12

NVIDIA Maximus Fuels Workstation Revolution With Kepler Architecture


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1293  


ASTROMAN Magazine - 2011.11.12

New GPU Applications Accelerate Search for More Effective Medicines and Higher Quality Materials


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1099  


ASTROMAN Magazine - 2011.08.07

NVIDIA Tesla GPUs Used by J.P. Morgan Run Risk Calculations in Minutes, Not Hours


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1030  


ASTROMAN Magazine - 2011.03.27

NVIDIA GeForce GTX 590 Is World's Fastest Graphics Card


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=930  


ASTROMAN Magazine - 2011.01.16

Intel to Pay NVIDIA Technology Licensing Fees of $1.5 Billion


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=881  


ASTROMAN Magazine - 2010.10.29

NVIDIA Tesla GPUs Power World's Fastest Supercomputer


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=831  


ASTROMAN Magazine - 2010.10.10

New NVIDIA Quadro Professional Graphics Solutions


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=820  


ASTROMAN Magazine – 2010.05.09

NVIDIA GPUs Provide Edge to 3D Animators Utilizing Autodesk Softimage 2011

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=716  


ASTROMAN Magazine – 2010.02.27

NVIDIA Names University Of Maryland A CUDA Center Of Excellence


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=671  


ASTROMAN Magazine – 2010.02.27

ADAM - Notion Ink Pixel Qi tablet with NVIDIA Tegra2 processor


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=670  


ASTROMAN Magazine – 2010.02.27

Next Generation NVIDIA Tegra


http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=669  



Editor-in-Chief of ASTROMAN magazine: Roman Wojtala, Ph.D.


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