Auto Mask Face Detection

Project Title

Auto Mask Face Detection

Project Area of Specialization Artificial IntelligenceProject Summary

Face Mask Detection System uses existing IP cameras and CCTV cameras combined with Computer Vision to detect people without masks. Face Mask Detection Platform uses Artificial Network to recognize if a user is not wearing a mask.  The desktop application can be connected to any existing or new IP mask detection cameras to detect people without a mask. App users can also detect an alert in case they are not wearing a mask. If the camera captures an unmasked face, its picture is captured

A user-friendly website allows the user to see who was not wearing a mask and see the photo captured by the camera. 

Project Objectives

If the face mask detector application identifies a user that he/she was not wearing a mask, AI alerts are sent with the picture of the person. It allows the application to run automatically and enforces the wearing of the mask or enter in the center if the person didn’t wear a mask. if he or she wear the mask the camera detect the face and give the green light and then enter

Automatically Send Alert

Send alert of the person without having mask

Multi-Channel Recognition

Attach multiple cameras in a few minutes and enable all the cameras to access the AI capability of recognizing faces.

No new hardware to install 

The system can work on any existing RTSP camera without the installation of any new cameras. Most of the hospitals and airports have IP cameras installed and RTSP-enabled.

Project Implementation Method

we have designed our project using Python language. we have worked on open cv library for face recognization,design an algorithm Convolutional Neural Network (CNN) to train our data set of more than 1500 pictures with mask and without mask

Benefits of the Project

Our main benifits of the project is that it is very helpful in implementing the Covid-19 Sops in different organization like School,College,Bank,Hospitals and Offices etc. It can also detect image of the person who is not wearing a mask and can be recognized throuth the captured image

Technical Details of Final Deliverable

image dataset of mask and unmasked person 1500+

trained our dataset of mask and unmask data and build our model

image recognization done to recognise mask of a person to capture

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources