1. Course Project: Easy Note Ziyang Qi and Shuangchen Li

2. Background

3. Easy Note: Goal Screenshot Blackboard Recognizing The Handwriting Adding Your Own Notes Share to team members Send to Cloud Merge Hand-writing & Electric Notes and Share

4. Easy Note: Techniques Description  Techniques:  State-of-the-art pattern recognizing algorithm: Convolution Neuro Network (CNN)  CNN implement with NDK for speedup  GPS for classroom location, in order to generate class information  Bluetooth for share with team members  Internet access for send it to cloud graphics, sensing, communications, and cameras are all leveraged in this project

5. Easy Note: What is expected Best-case Scenarios:  All UI works  Recognizing for words  Recognizing class via time and location  Share with Bluetooth  Uploading to cloud Worst-case Scenarios:  All UI works  Recognizing for single numbers only  Recognizing class via time and location  Uploading to cloud

6. Thank you!