Share your View I-See

Outline

• Control (UE) – Smart Glass (Send/Reciver)• Communication • Cloud Server ( Raspberry PI 2)• Hotspot Map• Future Work

“I See” Framework

Control by Wearable Mouse

• I-See User control by Wearable Mouse• Mycestro Wearable Mouse– http://www.mycestro.com

UI/UE of Smart Glass (Publish)

• Snapshot- click touch panel or click • Input Message – Voice to Text by Google API• Upload confirm– Click Send button

Send Cancel

UI/UE of Smart Glass (Receiver)

• Share Message Flow UI ( < 100m with red mark)• Selecting Box – – 1. Up/Down to select– 2.double click -> Detail information (MAP, Pic, Msg) – 3. Following this message ( updating )– 4. Show the GPS and relative position ( Direction )

Who Time GPS Location Msg

Eric 19:30 121.73816 學生

Frank 19:22 126.512 (O) OL

Ken 18:56 89.512 正妹...

Who Time GPS Location Msg

Frank 19:22 126.512 (o) OL

Double Click Detail Information

Communication Protocol• Message Queue Telemetry Transport (MQTT)– MQTT Lib – Glass (Paho)、 Server (mosquito)

• MQTT message with JSON Format– MQTT Format for SG.txt

• Upload Image to Cloud Server by HTTP POST – curl -X POST -F

"image=@80:C1:6E:F3:E7:6A_1436160081000.jpg" isplanet.dyndns-office.com:8081/editor/image/1ffb66a0-304e-11e5-a2cb-0800200c9a66/

Cloud Server

• Raspberry Pi 2• Node.js + Node-Red• Mongo DB• RESTful API• MQTT Broker / Client ( Mosquito )• OpenCV for Image recognition

Hotspot Map

Location: 華納威秀Share: Frank Time : 2015/08/31 19:22MSG : OLGPS : 126.512 Frequency: 3 timesFacebook:Others:

Future Work

• Big Data • Image Processing by OpenCV (Cloud Site)• Social Network • Open API for 3rd application integrate