Project III : Object Detection - Sign Language Detection

Aim of the Project

To detect Real-Time Sign Language with webcam using the Tensorflow Object Detection API

Life Cycle of the Project

  1. The images used for this Project were collected from the Webcam itself
  2. The Project involved 5 distinct classes to be trained upon, capturing at least 30 images for each class
  3. Labelled the images using Label Image library
  4. Setup all the required dependencies and cloned the Official Tensorflow Models GitHub Repository.
  5. Applied Transfer Learning using Pre-trained SSD Mobile Net V2 model from the Tensorflow Model Zoo and built an Object Detection Model using Tensorflow Object Detection API
  6. Performed static image Predictions, as well as Real-Time Predictions using Webcam

Results from the Project

  • Hello
  • Live Long
  • Peace
  • Thank You
  • Thumbs Up

Technologies Used

| Python | Tensorflow | Object Detection | Opencv |

| SSD Mobile Net V2 | Matplotlib | Numpy |

Check out the Project Demo

GitHub Repository