Face Mask Detection

On 31st December 2k19 in Wuhan, China the first case of corona virus disease (COVID) was reported, it has spread in all over the world as eagle in the sky, so in this paper we came up to introduce a hardware based face mask detection as at that time the demand of mask has raised to wear to minimize

Project Title

Face Mask Detection

Project Area of Specialization

Computer Science

Project Summary

On 31st December 2k19 in Wuhan, China the first case of corona virus disease (COVID) was reported, it has spread in all over the world as eagle in the sky, so in this paper we came up to introduce a hardware based face mask detection as at that time the demand of mask has raised to wear to minimize the COVID cases. Pandemic seemed weak in 50% areas and 50% areas was in unstable situation and some of areas are still follow the rules for healthy and safe life. Face mask detection technique decrease the ratio of spreading. This system basically focus on the safety, the main motto of this technique is to stop the person who is mask less and open the tunnel for those who are with mask.

Project Objectives

Objective of the project is that to keep people safe from pandemic infection and wearing mask is necessary otherwise you will not eligible to go to your place 

Project Implementation Method

Face mask detection is a smart technique that is used to keep people in mask if one can wear the mask during pandemic, will safe from disease when the social distancing is hard to maintain or in public places. This system can be used in different places such as industries, institutions, banks, hospitals or any place where huge amount of mass work and difficult to control the environment management

Benefits of the Project

The face mask detection is the technique that can be applied everywhere, because it confirms whether a person is wearing mask or not and recently it is something that is highly in demand and this demand motivate the developers to make such type of projects, if they are already discovered then improve their features by implementing your own mind.

Technical Details of Final Deliverable

The project uses ESP32-CAM, green LED, red LED, IR sensor,CH340G,  Arduino, UNO and other different tools each has different work. ESP32-CAM uploads the code, for uploading CH340G is used. Arduino UNO sends signal to the ESP32-CAM to run the code. Sensor is used to determine whether the person is with mask or mask less. 

Final Deliverable of the Project

Hardware System

Core Industry

Education

Other Industries

IT

Core Technology

Others

Other Technologies

Artificial Intelligence(AI), Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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