Auto Mask Face Detection
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
Project Title
Auto Mask Face Detection
Project Area of Specialization
Project 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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 0 |
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