Skip to content

Vikas031/Face-Mask-Detection-System-Deep-Learning-

Repository files navigation

Face Mask Detection (Live) Using Deep Learning

This project uses the concept of Convulational Neural Network (CNN) of Deep Learning for training the model by using image dataset to determine whether a person is wearing mask or not .

Screenshots

App Screenshot App Screenshot

• PROJECT IMPLEMENTATION IS BASICALLY IN 4 PARTS :

  1. Preparing image dataset to train images
  2. Preparing a trained model using CNN
  3. To get live image or video using opencv library
  4. To detect face in a video or image

• Platform Used for Model Training : Google Colab • For normal operation IDE used is : Pycharm

Image Dataset Screenshots

App Screenshot App Screenshot

Convolutional Nerwork

App Screenshot

Link for Google Colab CNN implementation : https://colab.research.google.com/drive/1op5Ku6AkGdrdFsDPO0q34-5cLm_Cn5NW?usp=sharing

BIBLIOGRAPHY :

• For open cv : https://www.geeksforgeeks.org/python-opencv-capture-videofrom-camera/

• For face detection https://www.geeksforgeeks.org/python-haar-cascades-forobject-detection/

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages