Tango (formerly named Project Tango, while in testing) was an augmented reality computing platform, developed and authored by the Advanced Technology and Projects (ATAP), a skunkworks division of Google. It uses computer vision to enable mobile devices, such as smartphones and tablets, to detect their position relative to the world around them without using GPS or other external signals

1. Hello !

4. Google unveiled Project Tango, an experimental project
from the company’s Advanced Technology and Projects
(ATAP) group.

5. What is Project Tango?

6. Help everything and everyone understand where they are.

7. Project Tango technology gives a mobile device the ability
to navigate the physical world similar to how we do as
humans.
Project Tango is a smartphone and tablet project by
Google's Advanced Technology and Projects group (ATAP),
formerly a division of Motorola.
INTRODUCTION

8. • A device which tracks the 3D motion of the device, and creates a 3D
model of the environment around it.
• Launched on 20th February 2014.
• by Google’s Advanced Technology and Projects group (ATAP)
• A mobile device that shares our sense of space and movement, that
understands and perceives the world the same way we do.
INTRODUCTION

9. $ 512

10. Why Project Tango?

11. What if you could capture the dimensions of your
home simply by walking around with your
smartphone before you went furniture shopping?
What if you never again found yourself lost in a
new building? What if you could search for a
product and see where the exact shelf is located
in a store?
Imagine playing hide and seek in your house with
your favourite game character, imagine
competing against a friend for control over
territories in your home with your own miniature
army?

12. Why Project Tango ?
• Humans live in 3D physical world. But mobile devices today assume
that physical world ends at the boundaries of the screen.
• Goal: Is to give mobile devices, a human scale understanding of space
and motion.

13. Hardware

14. Front View

15. Back View

16. Smartphone Specifications

17. Screen : Memory :
7” 1920x1200 HD 128 GB internal storage,
IPS display (323 ppi) 4 GB RAM.
Camera : Processor :
4 MP 2 micrometer NVIDIA Tegra K1 CUDA cores
RGB-IR pixel sensor, ( w/192)
1 MP front facing.
Battery :
4960 mAH cell

18. Inside the Device
• Snapdragon 800 quad core CPU with 2 GB LPDDR3 RAM
• Two Movidius Myriad 1 computer vision co-processors.
• NVIDIA Tegra K1 Processor
• Two AMIC A25L016 16 Mbit low voltage serial flash memory ICs
• 9-axis gyroscope/accelerometer/compass MEMS motion tracking device (built by InvenSense)
• multimode multiband power amplifier module (by Skyworks)
• Capri PS1200 3D sensor (built by PrimeSense)

19. Inside the Device
• SanDisk 64 GB iNAND flash memory
• Bosch BMX055 Inertial Measurement Unit
• Qualcomm PM8941 Power Management IC
• Qualcomm PM8841 Power Management IC

20. • Myriad 1 vision processor platform.
• The sensors allow the device to make "over a quarter million 3D
measurements every second, updating its position and orientation in real
time, combining that data into a single 3D model of the space around
you."
TANGO’S SENSOR
Movidius Myriad-1 Computer Vision Processor

21. Movidius Myriad-1 Computer Vision Processor
• The Key feature of this device is the Myriad 1 computer vision
processor.
• Previous procesors consume much power, so they cannot be
used in mobile devices.
• Extremely Powerful: Can Process data and create 3D model
of the environment in couple of seconds.

22. Software

23. Software Available on Play Store

24. Android 4.4 (KitKat)

26. Store everything in Drive.

27. Play Me
Everything you are about to see exists today.

28. Project Tango Concepts

29. Motion Tracking
Area Learning
Depth Perception

30. Overview

31. Motion Tracking

32. Project Tango’s core functionality is measuring
movement through space and understanding
the area moved through.
Google API’s provide the position and
orientation of the user’s device in full six
degrees of freedom, referred to as its pose.
Motion tracking allows a device to understand
position and orientation using Project Tango's
custom sensors. This gives you real-time
information about the 3D motion of a device.

33. Project Tango devices combine the camera,
gyroscope and accelerometer to estimate six
degrees of freedom motion tracking, providing
developers the ability to track 3D motion of a
device while simultaneously creating a map of
the environment.

34. Area Learning

35. Using area learning, Project Tango device can
remember the visual features of the area it is moving
through and recognize when it sees those features
again. These features can be saved in an Area
Description File (ADF).
Project Tango devices are equipped with integrated 3D
sensors that measure the distance from a device to
objects in the real world. Current devices are designed to
work best indoors at moderate distances (0.5 to 4
meters).
By combining depth perception with motion tracking, you
can also measure distances between points in an area
that aren't in the same frame.

36. Depth Perception

37. Project Tango devices are equipped
with integrated 3D sensors that
measure the distance from a device to
objects in the real world. Current
devices are designed to work best
indoors at moderate distances (0.5 to 4
meters).
By combining depth perception with
motion tracking, you can also measure
distances between points in an area
that aren't in the same frame.

38. Project Tango APIs provides a function to get
depth information in the form of a point cloud.
This format gives (x, y, z) coordinates for as many
points in the scene as are possible to calculate.
Each dimension is a floating point value recording
the position of each point in meters in the
coordinate frame of the depth sensing camera.

39. + +
=

40. A truly open project

41. The Future is awesome.

43. Atharva Jawalkar
Atharva.Jawalkar@gmail.com