Face Mask Detector by live camera using tensorflow-keras, openCV and Python

Related tags

Deep Learningpythonopencvmachine-learningcomputer-vision
Overview

Face Mask Detector 😷

by Live Camera

  • Detecting masked or unmasked faces by live camera with percentange of mask occupation

About Project:

This an Artificial Intelligence based project in which we can detect person's faces by live camera and system can predict that person weared a mask or not. A programming language that I used in this project is Python. Where I build a predective model with the help of Neural Networks (Deep Learning). Dataset contains two classes that means two type of images such as With Mask and Without Mask

Overview:

  1. Importing machine learning libraries - Tensorflow, Keras and Sklearn
  2. Loading dataset and divding into two categories - With Mask and Without Mask
  3. Converting Categories into numbers by LabelBinarizer
  4. Splitting data into train, test and split
  5. Data Augmentation by ImageDataGenerator
  6. Creating neural network with MobileNetV2, and connected entire layers
  7. Compiling the model Adam optimizer and binray_cross entropy loss
  8. Using callbacks while model training to avoid overfitting
  9. Evaluating the model by classification report and confusion matrix
  10. Visualized model accuracy and val_loss
  11. Serializing the model and implementing into python code for live camera
  12. Using OpenCv and imutils for live implementation

Live Demo:

https://twitter.com/KuchBhiKaran/status/1482999558536036352?t=RgL5Rt0QA9uZgXHCNAHKuQ&s=19

Owner
Karan Shingde
Data Science | Machine Learning | Computer Science student 🚀📊
Karan Shingde
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