Mask detection
Abstract-About In the present scenario due to Covid-19, there is no efficient face
mask detection applications which are now in high demand for transportation means,
densely populated areas, residential districts, large-scale manufacturers and other
enterprises to ensure safety.
This system can therefore be used in real-time applications which require face-mask
detection for safety purposes due to the outbreak of Covid-19. This project can be
integrated with embedded systems for application in airports, railway stations,
offices, schools, and public places to ensure that public safety guidelines are
followed.
Face Mask Detection
Purpose of the model- considering the covid-19 outbreak, i think this is
best project that i can work as python developer. Today everyone is aware
of taking precaution and safety measures regarding covid-19, so face mask
detection will play a huge role to avoid corona virus.
This project helps us to spread the awareness among people using face
mask properly. It detects the face mask on your face whether the person is
hiding his/her face by mask or not. it also check the face mask is properly
cover your face both nose and mouth.
Architecture of the model- In this project, we’ll discuss our two-phase
COVID-19 face mask detector, detailing how our computer vision/deep
learning pipeline will be implemented. From there, we’ll review the dataset
we’ll be using to train our custom face mask detector. I’ll then show you
how to implement a Python script to train a face mask detector on our
dataset using Keras and TensorFlow. We’ll use this Python script to train a
face mask detector and review the results. Given the trained COVID-19
face mask detector, we’ll proceed to implement two more additional Python
scripts used to Detect face masks in real-time video streams.