AI BASED REALTIME FACE MASK DETECTION

AI BASED REALTIME FACE MASK DETECTION

P. JEYARAM 1, Dr. S. SAJITHA BANU 2, K. RAMYA 3, M. MOHAMED RAFI 4

1, student, Department of Master of Computer Application Mohamed Sathak Engineering College

Ramanathapuram, India

2, Assistant Professor, Department of Master of Computer Application Mohamed Sathak Engineering  College

Ramanathapuram, India

3, Assistant professor, Department of Master of Computer Application Mohamed Sathak Engineering  College

Ramanathapuram, India

4,Professor&Head, Department of Master of Computer Application Mohamed Sathak Engineering  College

Ramanathapuram, India

ABSTRACT
The world has not yet fully Recover from this pandemic and the vaccine that can effectively treat Covid-19 is yet to be discovered. Wearing a face mask will help prevent the spread of infection and prevent the individual from contracting any airborne infectious germs. Done by evaluation of the classification results by analysing real-time streaming from the Camera. Using Face Mask Detection System, one can monitor if the people are wearing masks or not. Here HAARCASACADE algorithm is used for image detection. Collating with other existing algorithms, this classifier produces a high recognition rate even with varying expressions, efficient feature selection and low assortment of false positive features. HAAR feature-based cascade classifier system utilizes only 200 features out of 6000 features to yield a recognition rate of 98-100%. According to this motivation we demand mask detection as a unique and public health service system during the global pandemic COVID-19 epidemic. The model is trained by face mask image and non-face mask image.

KEYWORDS
Face mask detection

Face edges (FMD)

CNN- Convolutional Neural Network