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American Sign Hand Gesture Recognizer

manish maharjan

manish maharjan

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  • 0 Collaborators

This project is about building a American Sign Hang Gesture Recognizer with the help of deep convolutional neural network. ...learn more

Project status: Under Development

Mobile, Artificial Intelligence

Intel Technologies
AI DevCloud / Xeon, Intel Opt ML/DL Framework

Overview / Usage

American Sign Language (ASL) Classification Using Computer Vision uses the power of the deep convolutional neural network to carry out image classification locally. We will be using self generated images to train the neural network. After training the neural network we will be using laptop's camera or phone's camera to classify the hand sign gestures.

We will be using following tools/ libs for this project :

  1. Tensorflow
  2. Web cam or phone camera
  3. Intel Ai Dev cloud to train the neural net

Methodology / Approach

American Sign Language (ASL) Classification Using Computer Vision uses the power of the deep convolutional neural network to carry out image classification locally. We will be using self generated images to train the neural network. After training the neural network we will be using laptop's camera or phone's camera to classify the hand sign gestures.
For full tutorial and code please visit the Github linked below.

Technologies Used

  1. Tensorflow
  2. Intel AI Dev cloud
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