Face Mask detection System

The spread of COVID-19 Pandemic Disease has created a most crucial global health crisis of the world that has had a deep impact on humanity. For safety purposes, face masks are one of the personal protective equipment. It is not feasible to manually track and detect the face mask at public places, o

Project Title

Face Mask detection System

Project Area of Specialization

Artificial Intelligence

Project Summary

The spread of COVID-19 Pandemic Disease has created a most crucial global health crisis of the world that has had a deep impact on humanity. For safety purposes, face masks are one of the personal protective equipment. It is not feasible to manually track and detect the face mask at public places, offices, hospitals, etc. My project is a face mask detection system, which is the replacement manually to automatically monitoring and detecting whether or not an individual wears a face mask. This system involves two-stages: first detecting the human faces in a given image or live stream of video and then in the second part, detect the presence or absence of face mask on the face. After training the system through the algorithms, the system will differentiate between masked and unmasked.

Project Objectives

To design a web-based(Web-app) face mask detection system that automatically monitoring and detecting whether or not an individual wears a face mask.

Project Implementation Method

Efficient face mask detection system, powered by computer vision and Conventional Neural Network, compatible with all types of USB or IP and CCTV cameras. Initially, this system will be implemented in our university.

Benefits of the Project

Basically, this project is for government and private organizations, Hospitals, Offices, Public Places, Airports, and Educational Institutes, want to make sure that everyone working or visiting a public or private place is wearing masks throughout the day. The face mask detection system can quickly identify the person with a mask or not mask, using cameras. It will help to track safety violations, promote the use of face masks, and ensure a safe working environment.

Technical Details of Final Deliverable

Face mask detection is an AI-based technology that analyzes a video stream to detect and recognize a face mask worn by an individual person or a crowd of people. This DeepSight software outputs a confidence value for each detection. I am using "Computer Vision " algorithms to train the machine. This system involves two-stages: first detecting the human faces in a given image or live stream of video and then in the second part, detect the presence or absence of face mask on the face. OpenCV algorithms will be used to train the machine to detect human faces. Then dataset which we have used consist of masked faces and unmasked faces images. Train algorithm through the dataset to detect wear a mask not. After training the algorithm, the system will differentiate between masked and unmasked. If the face mask detector application identifies a user as not wearing a mask, a custom message can be delivered via a digital screen to remind all visitors to wear masks before entering the premises.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com