Difference between revisions of "Tango"
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{{Device Infobox | {{Device Infobox | ||
− | |image= | + | |image={{#ev:youtube|tPR9EFE20Aw|350}} |
|Type=[[Input Device]], [[Computer vision]] | |Type=[[Input Device]], [[Computer vision]] | ||
|Subtype=[[Computer vision]] | |Subtype=[[Computer vision]] | ||
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|Field of View= | |Field of View= | ||
|Tracking=6DOF | |Tracking=6DOF | ||
− | |Rotational Tracking= | + | |Rotational Tracking= |
|Positional Tracking= | |Positional Tracking= | ||
|Update Rate= | |Update Rate= | ||
Line 37: | Line 37: | ||
|Release Date= | |Release Date= | ||
|Price= | |Price= | ||
− | |Website= | + | |Website=https://www.google.com/atap/project-tango/ |
}} | }} | ||
− | [[ | + | ==Introduction== |
+ | [[Tango]], also known as '''Project Tango''', is a [[computer vision]] project developed by [[Google]] with a team led by [[Johnny Lee]] and [[Larry Yang]]. Using various cameras and sensors, Tango mobile devices can map 3D environments in real time and perform [[markerless inside-out tracking]].<ref>https://www.youtube.com/watch?v=tPR9EFE20Aw</ref> This feature allows the device to become spatially aware and instantly figure out where it is in space. Project Tango has many [[#Potential Uses|potential uses]], including incorporation into [[VR Devices|VR]] and [[AR Devices]] and even [[Google Cardboard]]. | ||
+ | Currently a Project Tango [[#Dev Kit|development kit]] in the form of a tablet is available. It was released on May 29, 2015 and cost $512. | ||
+ | __TOC__ | ||
==Potential Uses== | ==Potential Uses== | ||
*Real time building-scale 6DOF motion tracking. | *Real time building-scale 6DOF motion tracking. | ||
Line 61: | Line 64: | ||
==Hardware== | ==Hardware== | ||
+ | ===Dev Kit=== | ||
+ | Project Tango Dev Kit is a tablet with various computer vision capabilities. At its initial release in May, 2015, the device cost $512. | ||
+ | |||
+ | {| class="wikitable sortable" | ||
+ | |- | ||
+ | !Part | ||
+ | !Spec | ||
+ | |- | ||
+ | |OS || [[Android]] | ||
+ | |- | ||
+ | |Display || 7.02" 1920x1200 HD IPS (323 [[PPI]]) | ||
+ | |- | ||
+ | |Processor || NVIDIA Tegra K1 with 192 CUDA cores | ||
+ | |- | ||
+ | |RAM || 4GB | ||
+ | |- | ||
+ | |Storage || 128GB SSD | ||
+ | |- | ||
+ | |Camera || 1 MP front facing, fixed focus, 4 MP 2µm RGB-IR pixel sensor | ||
+ | |- | ||
+ | |Sensors ||Motion tracking camera, 3D depth sensing, Accelerometer, Ambient light, Barometer, Compass, aGPS, Gyroscope | ||
+ | |- | ||
+ | |Audio || Dual stereo speakers, 3.5 mm audio connector (OMTP) | ||
+ | |- | ||
+ | |Connectivity || Micro HDMI, USB 3.0 host via dock connector, Micro SD card, Nano SIM slot | ||
+ | |- | ||
+ | |Battery || 4960 mAH cell (2 x 2480 cells) | ||
+ | |- | ||
+ | |Size || 119.77 x 196.33 x 15.36 mm | ||
+ | |- | ||
+ | |Weight || 370g | ||
+ | |- | ||
+ | |} | ||
+ | *Official Specification<ref>https://store.google.com/product/project_tango_tablet_development_kit</ref> | ||
==Software== | ==Software== | ||
+ | ==Project Tango Developer Contest== | ||
+ | *Proposal Entry Deadline: June 25th, 2015 | ||
+ | *Final APK Entry: September 23rd, 2015 | ||
+ | |||
+ | {| class="wikitable sortable" | ||
+ | |- | ||
+ | !Category | ||
+ | !Prize | ||
+ | !Winner | ||
+ | |- | ||
+ | |Best Overall || $8192 || [[WeR Cubed Tango]] by [[Heroic Arcade]] | ||
+ | |- | ||
+ | |Entertainment/Games || $4096 || [[Ghostly Mansion]] by [[Rabbx Inc]] | ||
+ | |- | ||
+ | |Utility || $4096 || [[Phi3D]] by [[DotProduct LLC]] | ||
+ | |- | ||
+ | |VR and AR || $4096 || [[InnAR Wars]] by [[FLARB]] | ||
+ | |- | ||
+ | |} | ||
+ | |||
+ | ==Visual Positioning Service== | ||
+ | |||
+ | ==References== | ||
+ | <references/> | ||
[[Category:Technology]] [[Category:Input Devices]] | [[Category:Technology]] [[Category:Input Devices]] |
Latest revision as of 19:26, 11 June 2017

Developer | |
Image | |
Optics | |
Tracking | 6DOF |
Introduction
Tango, also known as Project Tango, is a computer vision project developed by Google with a team led by Johnny Lee and Larry Yang. Using various cameras and sensors, Tango mobile devices can map 3D environments in real time and perform markerless inside-out tracking.[1] This feature allows the device to become spatially aware and instantly figure out where it is in space. Project Tango has many potential uses, including incorporation into VR and AR Devices and even Google Cardboard.
Currently a Project Tango development kit in the form of a tablet is available. It was released on May 29, 2015 and cost $512.
Contents
Potential Uses
- Real time building-scale 6DOF motion tracking.
- City-scale mapping
- Rollercoaster experiment
- Registration to existing surfaces
- Tracking in difficult environments
- Real-time 3D room capture
- Real-time meshing in Unity with physics
- Precise indoor positioning
- AR-overlay indoor navigation
Hardware
Dev Kit
Project Tango Dev Kit is a tablet with various computer vision capabilities. At its initial release in May, 2015, the device cost $512.
Part | Spec |
---|---|
OS | Android |
Display | 7.02" 1920x1200 HD IPS (323 PPI) |
Processor | NVIDIA Tegra K1 with 192 CUDA cores |
RAM | 4GB |
Storage | 128GB SSD |
Camera | 1 MP front facing, fixed focus, 4 MP 2µm RGB-IR pixel sensor |
Sensors | Motion tracking camera, 3D depth sensing, Accelerometer, Ambient light, Barometer, Compass, aGPS, Gyroscope |
Audio | Dual stereo speakers, 3.5 mm audio connector (OMTP) |
Connectivity | Micro HDMI, USB 3.0 host via dock connector, Micro SD card, Nano SIM slot |
Battery | 4960 mAH cell (2 x 2480 cells) |
Size | 119.77 x 196.33 x 15.36 mm |
Weight | 370g |
- Official Specification[2]
Software
Project Tango Developer Contest
- Proposal Entry Deadline: June 25th, 2015
- Final APK Entry: September 23rd, 2015
Category | Prize | Winner |
---|---|---|
Best Overall | $8192 | WeR Cubed Tango by Heroic Arcade |
Entertainment/Games | $4096 | Ghostly Mansion by Rabbx Inc |
Utility | $4096 | Phi3D by DotProduct LLC |
VR and AR | $4096 | InnAR Wars by FLARB |
Visual Positioning Service
References
- ↑ https://www.youtube.com/watch?v=tPR9EFE20Aw
- ↑ https://store.google.com/product/project_tango_tablet_development_kit