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Marvel Entertainment was one of the first major Hollywood companies to commit to 3D movies. Beginning last summer, every movie based on a Marvel comic property was to be either filmed in 3D or converted to 3D for theatrical and home entertainment releases. When this mandate came down, Ari Arad (Iron Man), producer of Ghost Rider: Spirit of Vengeance, turned to NVIDIA to help with the production of the Sony Pictures sequel, which is now out on Blu-ray 3D, Blu-ray and DVD....
People are flocking to the theater to take in Pixar’s latest animated film, Brave, which we recommend seeing in 3D, of course. After seeing the movie you can relive the adventure by picking up the gorgeous Brave: The Video Game for PC. The third-person action/adventure game lets you play the role of Princess Merida—Pixar’s first female lead character—as you follow her adventures in a family-friendly storyline based on the film. Engage in bow-and-arrow and sword combat and...
At E3 Namco thrilled hip-hop loving fans of its Tekken series by announcing that none other than the “Doggfather” of hip-hip himself, Snoop Dogg, has recorded the title track for its upcoming Tekken Tag Tournament 2. Better still, for his myriad fans, a special Snoop-themed fighting stage will be featured in the game. And that’s not all… NVIDIA has partnered with Namco to produce an exclusive 3D version of the game’s title track, “Knock ‘Em Down”. The video made its national...
3DVisionLive.com is excited to unveil the fourth in a series of photo contests aimed at giving you a platform to show off your images and potentially win some cool prizes. This one's a little different in that it will span three months - June, July, August - and is themed: Your image must be something that captures the essence of the season, which can be anything from bathing beauties to sand castles to epic water balloon fights. The Summer Photo Contest is open to legal...
During NGF in Shanghai in April (http://www.geforce.com/whats-new/articles/watch-live-streaming/), NVIDIA CEO Jensen Huang first time unveiled the Passion Leads Army (光荣使命) benchmark to the public. PLA is the first China-developed DirectX 11 benchmark officially released by a top Chinese developer—Giant IronHorse Studio. Giant IronHorse is creating the multiplayer online first-person shooter with the Unreal Engine 3 engine, so you know it's going to look awesome. The...

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Amir Hever was driving into a government facility a few years ago when he discovered a huge flaw in their security process. As he approached the entrance gate, a security guard dropped to his knees to look underneath his vehicle.

“When he stood up, I asked him what he was looking for,” said Hever, CEO and co-founder of computer vision startup UVeye. “The security guard answered honestly that he was looking for threats but actually couldn’t see anything. That’s when I realized that something wasn’t working right.”

Hever assembled a team, and began researching the problem and potential solutions. Thus was born in 2016 UVeye, which has since built an under-vehicle inspection system that uses deep learning to bridge the security gap.

Much of the New York-based company’s work centered on grasping the vast variety of vehicle undercarriages, not to mention the changes they undergo after thousands of miles on the road. What Hever and his team learned that it’s not easy to identifying anomalies in vehicle undercarriages.

“We didn’t know what we’re looking for as there is no standard of what a threat would look like in the undercarriage,” said Hever. “Moreover, threats are usually concealed.”

More Than Schematics Needed

UVeye quickly learned that schematics provided by vehicle manufacturers aren’t enough because, after thousands of miles of road time, undercarriages don’t look like they did when they came off the assembly line. The answer was to develop an algorithm for unsupervised learning that would make it possible to spot threats — no matter how well concealed or the condition of the vehicle’s undercarriage.

The company rented hundreds of vehicles in various conditions and scanned their undercarriages, generating both 2D images and 3D models. That data was fed into its deep learning model, which maps the location of all the parts (segmentation) and then analyzes each segment separately and looks for anomalies.

This allows it to detect any alterations or anomalies to those parts, or the presence of foreign objects as small as USB drives. It can also tell whether a chunk of snow or mud looks natural, or if it might be a disguise used to conceal something.

UVeye uses workstations running multiple NVIDIA GeForce GTX 1080 GPUs to train its models. It turns to cloud-based GPUs running on Amazon Web Services or Microsoft Azure to train beyond its workstations’ capabilities, or to speed up the process further.

Hever said the use of GPUs, as well as the CUDA parallel computing model, significantly sped up the company’s training and development processes, as well as the system’s ability to generate results.

UVeye’s first line of products enables customers to automatically scan, detect and identify anomalies, modifications or foreign objects in the undercarriage of any vehicle. The company has already installed its system — packaged as a piece of hardware that sits in the ground, scanning vehicles that pass over it — at more than 30 sites worldwide. This has provided abundant test data verifying the system’s effectiveness.

“Our machine learning algorithm detects anomalies in any vehicle whilst in motion, within three seconds,” said Hever. “GPUs are making it possible.”

Inspection as a Service

Today, UVeye is revolutionizing vehicle inspection for the automotive industry. Additional applications for its system focus on security, with homeland security representing a robust market for the company’s technology.

“The need for an automatic external inspection system for vehicles that can detect anomalies, changes and dents, and also track changes over time, is huge,” Hever said.

The company has also leveraged its algorithms to analyze other parts of vehicles besides undercarriages and to inspect any vehicle from all sides.

“UVeye’s 360-degree system can detect vehicle leaks, wear and tear, and a wide variety of mechanical problems or damages,” Hever said.

From auto sales and rentals to fleet management and maintenance, Hever sees infinite opportunities for his company’s Inspection-as-a-Service model to ensure safe and reliable operation of vehicles.

Said Hever, “We are going to change the way that people and organizations inspect their cars.”

The post Computer Vision Startup Plugs Critical Security Hole in Vehicle Inspection appeared first on The Official NVIDIA Blog.

There was no escaping the automotive innovations, or the camera-toting crowds gawking at them, at CES 2018 this week in Las Vegas.

NVIDIA kicked off the show with a torrent of new partnerships and autonomous driving solutions. Uber, Volkswagen, Aurora, ZF, Baidu and Mercedes-Benz all announced new initiatives with NVIDIA. The announcements brought the total number of partners developing on the NVIDIA DRIVE platform to more than 320.

Around the North Hall, attendees at the world’s largest trade show could find our partners at almost every turn. Starting at the NVIDIA booth, Roborace drew crowds — and U.S. Secretary of Transportation Elaine Chao — with the CES debut of its low-set, sinuous Robocar. The NVIDIA-powered electric race car will take part in a future autonomous series, sanctioned by Formula E.

Nearby in the NVIDIA Holodeck, visitors took a virtual bus trip through time. After donning head-mounted displays they got to experience the transformation of the iconic 1960s era Volkswagen Type 2 microbus into the AI-infused, all-electric VW I.D. Buzz slated for 2022. Holodeck is a VR lab that lets far-flung teams come together in a realistic virtual environment to interact with photorealistic models of their designs.

For attendees interested in seeing self-driving go big in the most literal sense, TuSimple displayed an autonomous Peterbilt truck with NVIDIA DRIVE technology. The company provides a camera- and radar-based technology for autonomous driving. The startup expects to begin commercial operation of their level 4 system — supervised by test drivers — this year.

While NVIDIA has worked with both ZF and Baidu for over a year, a new initiative announced at CES brings the three companies together to realize a commercial solution for autonomous valet parking this year, with production vehicles using AI self-driving technologies expected on the roads of China starting in 2020.

Amid stunning visuals at the Mercedes-Benz booth, the automaker unveiled the NVIDIA-powered MBUX infotainment system. This revolutionary in-cabin experience can learn and adapt to driver and passenger preferences, thanks to artificial intelligence.

Dozens of other NVIDIA DRIVE partners attended the event to share their latest work with the crowds who descended on Las Vegas for the week. We spent time with many of them on the show floor, including Tertavue, Expolorer.ai, Cepton, Navya, HERE, AutonomouStuff, Deepmap, Innoviz, Cognata, Adasky and Torc. Watch our partner recap video above to hear about the latest self-driving innovations.

Take an even deeper dive into the technology at the heart of the autonomous vehicle revolution. Join us in March for the GPU Technology Conference in Silicon Valley.

The post Automotive Innovations Powered by NVIDIA DRIVE Draw Crowds at CES 2018 appeared first on The Official NVIDIA Blog.