Making cities smarter with 24 hours flying drones and sensor-federated video stream

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Takuro Yonezawa

Tech talk at National Design Center Prototype Lab at Singapore

Technology

Making cities smarter with 24 hours ﬂying drones
and sensor-federated video stream
Takuro Yonezawa
Keio University, JAPAN

Takuro Yonezawa, Ph.D
•Research Assistant Professor, Keio University, Japan
•Ubicomp, Sensor Networks, HCI, CSCW
•Leading Several Smart City Projects
•EU-JP joint research project, MIC G-Space Project,
MEXT Big Data Project, NICT Social Big Data Project etc.
•I LOVE research - create and express something new.

CoLive(2012)
BIG
GAP
Professionals’
Broadcast:

High
dramatic
impact
Amateurs’
Broadcast:

Poor
dramatic
impact
Supported by Many Staffs Only Broadcaster..

Wearable FragWrap (2013)
led by Yutaro Kyono

2 Simple Ideas that
you can start to use today

Remote Presentation with Robot
with Kinect + Skype
Cam
Kinect

Time
Accel.
Gyro
Compass
GPS
etc..
Heartbeat
1080p
30FPS
Sensor Data
Stream
Video Data
Stream
Decoded Information:

Flying
Eye,
Flying
Eye
project

h2p://ﬂyingeye.fr/

D'Andrea,
Flying
Machine
Arena
Project,
ETH

h2p://www.ﬂyingmachinearena.org/
Prime
Air
Photos,
Amazon
prime
air
project,
Amazon.com

h2p://www.amazon.com/b?node=8037720011

Amazing
in
MoNon,
Lexus
CM
project,
KMEL
RoboNcs.com

h2p://www.ufunk.net/en/videos/drones-‐lexus/

DJI
Phantom
QuadCopter

http://www.dji.com/ja
AR.Drone
2.0

h2p://ardrone2.parrot.com/gallery/drone/

Fly＋sensor＋camera ＝ Nice monitoring system

ex：ﬂy 10min, then recharge 2hours.
Problem

Level-ALevel-GLevel-S
Local disaster
monitoring from
flying objects
Wide-area information broadcasting
via quasi-zenith satellite system
“evacuate!”
“evacuate!”
“fly!”
“evacuate!”
4369 Earthquake Sensors
Participatory sensing
during evacuation
Fine-grained sensing
leveraging official vehicle
“evacuate!”
“close!”
Controllable
City Infrastructure
Multi-tier Solution
M2M through the Space

Beyond Internet of Things,
Orchestrate Everything
across Space, Air and Ground

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A product world is trying to change focusing on "Content-Centric". Then, it is necessary to design our products by "Content-Centric". For that purpose, it is necessary to perform a trial production and a products design quickly flexibly. Therefore we created one robot based on the soul of "DIwO(Do It with Others)" used as basic concepts, such as Make:, in order to realize it. And I created an ALL in ONE developing environment, it's called "ofxDroidLinaro", It is created by: -Application Framework --Android --openFrameworks(http://www.openframeworks.cc/) -Library&Driver --Linaro(http://www.linaro.org/) --Ubuntu(http://www.ubuntu.com/) -Device --ARM based Computers Therefore I can make the my product easily & quckly by using ofxDroidLinaro! -Application Framework --Make Program easily&quickly by Android --Make Cool UI by openFrameworks -Library&Driver --Use a lot of Libraries&Drivers for Linux -Device --Mobile & Connect to sensors (Ex,Kinect) by ARM

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A product world is trying to change focusing on "Content-Centric". Then, it is necessary to design our products by "Content-Centric". For that purpose, it is necessary to perform a trial production and a products design quickly flexibly. Therefore we created one robot based on the soul of "DIwO(Do It with Others)" used as basic concepts, such as Make:, in order to realize it. It is created by combining various products used as SoC which Pandaboard. --Brain wave sensor(http://www.neurosky.com/) --2-leg Robot --see-through display(http://www.brother.com/en/news/2011/airscouter/index.htm) --Xtion(http://www.asus.com/Multimedia/Motion_Sensor/Xtion_PRO/) -Software --Android --openFrameworks(http://www.openframeworks.cc/) This is an "AR(augmented reality)-Treasure Hunting Game“ You get virtual treasures by controlling real robot! Rule: -Look at radar window like dragon radar. --Show the treasure on radar as red star. --Center is a place in which a robot is present. ---Blue arrow is direction of robot. -Look at line graph. This is brain wave line graph. --You control the robot to the treasure point by your brain wave. --If you feel some feeling, you control the robot by each feelings. ---Exciting -> Turn left ---Normal -> Go toward ---Relax -> Turn right Such a reason, it is possible to make trial production and commercial production quickly.

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Making cities smarter with 24 hours flying drones and sensor-federated video stream

1. Making cities smarter with 24 hours ﬂying drones and sensor-federated video stream Takuro Yonezawa Keio University, JAPAN

2. Takuro Yonezawa, Ph.D •Research Assistant Professor, Keio University, Japan •Ubicomp, Sensor Networks, HCI, CSCW •Leading Several Smart City Projects •EU-JP joint research project, MIC G-Space Project, MEXT Big Data Project, NICT Social Big Data Project etc. •I LOVE research - create and express something new.

3. Spot&Snap(2006)

4. Spot&Snap(2006)

5. Vinteraction(2010)

6. CoLive(2012) BIG GAP Professionals’ Broadcast: High dramatic impact Amateurs’ Broadcast: Poor dramatic impact Supported by Many Staffs Only Broadcaster..

8. FragWrap (2013) led by Yutaro Kyono

9. Wearable FragWrap (2013) led by Yutaro Kyono

10. 2 Simple Ideas that you can start to use today

11. １：Connecting Video and Sensors +

12. カメラセンサ

13. Telepresence with

14. How ?

15. Remote Presentation with Robot with Kinect + Skype Cam Kinect

16. Time Accel. Gyro Compass GPS etc.. Heartbeat 1080p 30FPS Sensor Data Stream Video Data Stream Decoded Information:

17.

18. ` 720p 480p 240p 140p

19.

20. ` Senbay Sensors’ Bay Senbay Reader

21. Now Available for iOS

22. ２：Connecting Cables and Drones +

23. Flying Eye, Flying Eye project h2p://ﬂyingeye.fr/ D'Andrea, Flying Machine Arena Project, ETH h2p://www.ﬂyingmachinearena.org/ Prime Air Photos, Amazon prime air project, Amazon.com h2p://www.amazon.com/b?node=8037720011 Amazing in MoNon, Lexus CM project, KMEL RoboNcs.com h2p://www.ufunk.net/en/videos/drones-‐lexus/ DJI Phantom QuadCopter http://www.dji.com/ja AR.Drone 2.0 h2p://ardrone2.parrot.com/gallery/drone/ Fly＋sensor＋camera ＝ Nice monitoring system

24. ex：ﬂy 10min, then recharge 2hours. Problem

25. obstacle cable length = movable area

26. EverCopter

27.

28. Wired Drones Arrangement Problem

29.

30.

31. Level-ALevel-GLevel-S Local disaster monitoring from flying objects Wide-area information broadcasting via quasi-zenith satellite system “evacuate!” “evacuate!” “fly!” “evacuate!” 4369 Earthquake Sensors Participatory sensing during evacuation Fine-grained sensing leveraging official vehicle “evacuate!” “close!” Controllable City Infrastructure Multi-tier Solution M2M through the Space

32. Beyond Internet of Things, Orchestrate Everything across Space, Air and Ground

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