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Convolutional Neural Network project for sign language detection.

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tharangachaminda/cnn_sign_language_detection

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Sign Language Digits Recognition CNN

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Sing language is a visual-gestural language used by deaf and hard-to-hearing individuals to convey imformation, thoughts and emotions. Sign language recognition is the process of using typically computer vision and machine learning, to interpret and understand sign language gestures made by individuals.

Business Impact

Project like this can opens up various opportunities and benifits for both commercial and non-profit organizations.

  • Market Opportunities
  • Revenue Generation
  • Improved customer service
  • Innovation and Research opportunities
  • Job creation

Stackholders

  • Deaf and hard-hearing communities
  • Research nad developers
  • Government and Regulatory bodies.
  • Education and Schools
  • Healthcare Providers

Data Sources

This project is based on SIGNS dataset. This SIGNS dataset is a collection of 6 signs representing numbers from 0 to 5.

Technologies and Tools

  • Tensorflow
  • Keras' Functional API

Installation

I have used TensorFlow framework for this project.

pip install tensorflow

🏆 Lessons Learned

  1. TensorFlow
  2. Keras
  3. Saving and reusing models

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Convolutional Neural Network project for sign language detection.

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