Automotive advantage: Vuforia Model Targets

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Beyond sales and marketing applications, AR has innovative use cases for design-collaboration, training, and maintenance. We are excited to share how Visionaries 777, a design and engineering AR/VR agency, used Unity and Vuforia to deliver a compelling AR auto experience that used physical models and real-world conditions to bring AR overlays to global automotive shows. This post will discuss how they built their experiences and why it was a hit.

Vurforia recently released a new feature called Model Targets with deep neural networks (DNNs). Model Targets, unlike image targets and QR-Codes, enable developers to place an AR experience on a physical object by using a 3D CAD model. Recognizing objects by shape is a powerful technology for the industrial enterprise market, including automotive companies looking to build more robust AR solutions.

Visionaries 777 put Vuforia Model Targets and Unity to the test with W Motors Lykan Hypersport. Using Unity, and models generated in Vuforia, they created an application to change the outer colors and details of the vehicle. This application was used at car shows around the world to allow people to customize the Lykan with their choice of colors and decals.

The ability to constantly and accurately track the car allows seamless visual effects to be created. The app offers a scenario in which the viewer’s imagination comes to life when creating their dream vehicle. The physical car is flawlessly layered with the new digitized car paint, reflecting the physical environment and surrounding light. The app further enables the user to digitally apply vinyl all around the body represented as racing stripes, graphics, and logos.

Get more details by checking out our Unite session to learn how Visionaries 777 used Unity and Vuforia to build their AR experience.

“Vuforia Model Targets is a game changer that many developers have been eagerly waiting for quite some time. Combining the Unity platform with Vuforia Engine has enabled us to take AR beyond a gimmick and create compelling solutions for the enterprise world.”

Frantz Lasorne, Co-Founder of Visionaries 777 Ltd.

Vuforia Engine 8.0, released this January, expands the possibilities for Model Targets. This newest version provides the option to train Model Targets using deep neural networks (DNNs) for instant, automatic object recognition. Once the Model Target of an object or objects has been trained with multiple viewpoints, the information is used to not only identify what object you have in front of you, but what angle you are viewing it from. The application will then provide a guideline that most closely matches with the user’s angle to snap to the AR experience.

In an automotive setting, a user would need to simply start the application, point the device camera at a car, and Vuforia Engine would recognize the vehicle and provide a guide view matching the angle they’re seeing and then snap to the object. From automobile service instructions to luxury car marketing details, this technology offers new, dynamic ways to use AR.

With Model Targets trained using DNNs, you’re now able to use Unity to create more realistic AR experiences. Plus, by building AR auto applications using the Vuforia Engine and Unity, you can build once and deploy across multiple platforms, letting you reach the widest possible audience in less time.

Learn more about our solutions for the automotive and transportation industry here. And learn more about the newest version of Model Targets or Vuforia Engine, at our  Vuforia Partner page.









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