1. Share your View I-See

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

3. “I See” Framework

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

5. 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 SendCancel

6. 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 )

7. 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

8. Communication Protocol Message Queue Telemetry Transport (MQTT) – MQTT Lib – Glass (Paho) 、 Server (mosquito) MQTT message with JSON Format – MQTT Format for SG.txt 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/

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

10. Hotspot Map Location: 華納威秀 Share: Frank Time : 2015/08/31 19:22 MSG : OL GPS : 126.512 Frequency: 3 times Facebook: Others:

11. Future Work Big Data Image Processing by OpenCV (Cloud Site) Social Network Open API for 3 rd application integrate