Hand Sign Detection

Client Overview

A Japanese OCR company.

Business Challenge

Acclivis Contribution

  • CNN Layers library design and implementation
  • Dataset Collection and generation
  • Design and Implementation of CNN Net
  • Training and Testing of CNN model
  • CNN trained model generation

Product Features Developed/Supported by Acclivis

  • The application performs handwritten digit and English character recognition using
    deep learning CNN network and model in Matlab.
  • CNN model is generated / trained with given NET architecture using 60K handwritten
    digits and English characters

Project Details

  • Language | Matlab
  • Platform | Intel CORE I3 without GPU
  • DL Network Layers | Layer Network
  • Classifier | SoftMax

Client Benefit

  • Acclivis successfully delivered deep learning based OCR which could be integrated in client's existing framework.