Inspiration
The project is aimed to automate the process of detecting masks on a person's face using Computer Vision. During these hard times everyone should follow the safety guidelines and wear masks at public places to avoid spread of the corona virus.
What it does
There are two modes in which the project functions. In first mode mask is detected in a video which is streamed through the laptop's camera and in the second mode we can upload an image to detect presence or absence of mask in that image
How we built it
We have built it using HTML5, CSS3, Javascript, Flask, Python, OpenCV
Challenges we ran into
The main challenge was to connect the web application to our Trained ML model and display the output from the model back onto the webpage
Accomplishments that we're proud of
We are proud to make the application work correctly and successfully display the results of the ML model onto the webpage
What we learned
Using Flask as backend to display ML model results
What's next for Face Mask Detector
We can improve the application further to use as an attendance system in offices and other places to allow a person inside only if he/she is wearing a mask.
