Project Tango Tablet Developers Kit marks new partnership between Google and NVIDIA:

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Project Tango Tablet Developers KitA new partnership between Google and NVIDIA has been cemented by the release of a new Tablet, named the Project Tango Tablet Developers Kit.

Project Tango Tablets Developers Kit:

This new hardware partnership between NVIDIA and Google will mark a massive leap in the kind of hardware and software available for developers and what apps they can create for consumers.

The Project Tango Tablet Developers Kit will incorporate NVIDIA’s new experimental chip, the Tegra K1 into a tablet with other cutting edge hardware and software such as multiple high-resolution camera’s, advanced sensor fusion algorithms and even depth sensing tools. This means the tablet will be able to understand depth and motion like a person does. Think of it as a 7″ tablet  with a Microsoft Kinect attached to it, and think of the apps you could build with it.

Some of the example’s given in the NVIDIA blog announcement mentioned games which look at the real world around you and build a 3D battle scene for you to play in, an interior designer able to scan your house remotely and redesigning your home, or an Estate Agent able to give you full 3D virtual tours of the home rather than just 360 degree pano photos.

The Project Tango Tablet Developer Kit is the first mobile device to move computer vision out of the lab and be widely distributed to mobile developers. It’s also the first device to overcome previous limitations on computing power and inadequate algorithms and standard sensors.

Other impressive specs of the Project Tango Tablet Developers Kit is 4GB or RAM and 128GB of storage, the ability the programme the 192 GPU cores of the Tegra K1 and the latest Android version – KitKat OS. It will also make use of the latest standards available to developers such as OpenGL 4.4.

The Project Tango Tablet Developers Kit will cost $1000 (£594/€733) and be available “later this year”. In the mean time, look at the video teaser below:

Source: NVIDIA Blog

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