Course Project:Easy Note

Ziyang Qi and Shuangchen Li

Background

Easy Note: Goal

Screenshot

Blackboard

Recognizing The Handwriting

Adding Your Own Notes

Share to te

am

membersSend to Cloud

1+1=22+2=4

ECE251 02/09

1+1=2+2=

ECE251 02/09

1+1=22+2=4ECE251 02/09

1+1=2

2+2=4

ECE251 02/09

1+1=22+2=4ECE251 02/09

Merge Hand-writing & Electric Notes and Share

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

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

Thank you!