Handwritten Notes

NAEEM HADIQ

NAEEM HADIQ

Thrissur, Kerala

5 0
  • 0 Collaborators

Handwritten Notes! is a smart handwritten notes production application for desktop pc/ mobile phones. With Handwritten Notes! you can produce notes in your custom handwritten style from normal Text/ Word processing formats or by inputting data into a predefined text column. The handwriting is trained by scanning your existing written notes using a Realsense camera. Handwritten Notes! uses AI for detection within the notes to find letter patterns that match the alphabets using OpenVINO™ then reproduces them as per the textual input. ...learn more

Project status: Under Development

Mobile, RealSense™, HPC, Artificial Intelligence, Graphics and Media

Groups
Student Developers for AI, DeepLearning, Movidius™ Neural Compute Group

Intel Technologies
OpenVINO, Movidius NCS, Intel CPU

Overview / Usage

The Problem
Keeping up submission deadlines and writing notes are a Hazzle! So why not use AI on PC to convert text to handwritten text.

Submitting Handwritten documents can turn out to be a hazzle when there is not much time/ When you are lazy to sit with pen and paper. As per surveys it's observed that most students/ office workers miss deadlines on submissions due to laziness/ overloading in converting data into handwritten stuff when required.
So why not convert digital data that can easily be collected into Handwritten notes? This is the reason for creating Handwritten Notes!

Methodology / Approach

The Solution:
Handwritten Notes! is a tool that allows the user to import their handwriting using a Realsense camera and save them to later convert digital text data into handwritten notes. Unlike existing methods, it uses The Solution:
Handwritten Notes! is a tool that allows user to import their handwriting using a Realsense camera and save them to later convert digital text data into handwritten notes. Unlike existing methods it uses OpenVINO™ toolkits and custom pretrained models to ensure that the conversions happen quick and inside a Desktop/Mobile App.
Phase 1: (May-June)
Creating custom model and pretraining it to detect alphabets and store the actual written text under the classified label cut into a particular resizable dimension depending on letters and creating an APP to take input from user using Realsense cameras.
Phase 2: Optimising and pretraining (June)
Pretrain and Optimise the model using the training modules of the App .
Phase 3:Making it production Ready(July)
toolkits and custom pre-trained models to ensure that the conversions happen quick and inside a Desktop/Mobile App.
Phase 1: (May-June)
Creating a custom model and pretraining it to detect alphabets and store the actual written text under the classified label cut into a particular resizable dimension depending on letters and creating an APP to take input from the user using Realsense cameras.
Phase 2: Optimising and pretraining (June)
Pretrain and Optimise the model using the training modules of the App.
Phase 3: Making it production Ready(July)
The app can also give the user an option to save their custom handwriting as a font in their computer.

Technologies Used

" Handwritten Notes!" is a desktop PC/Mobile application that uses:

  1. Intel OpenVINO™ toolkit to allow the user to import their handwriting into the application for analysis
  2. Intel Movidius NCS devices to allow the user to have an accelerated experience for text detection with OpenVINO™ custom models.
  3. Intel RealSense camera is used to take the photo of the written notes.
  4. Intel Core i7 CPUs to convert the text files to handwritten notes.
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