COVID-19 FACEMASK AND BODY TEMPERATURE DETECTION

Abstract-In the current scenario due to (COVID-19) pandemic an efficient automated system for detection of face mask, body temperature and social distancing  are highly demanded in densely populated areas to ensure safety. This embedded system removes human efforts to manually

Project Title

COVID-19 FACEMASK AND BODY TEMPERATURE DETECTION

Project Area of Specialization

Artificial Intelligence

Project Summary

Abstract-In the current scenario due to (COVID-19) pandemic an efficient automated system for detection of face mask, body temperature and social distancing  are highly demanded in densely populated areas to ensure safety. This embedded system removes human efforts to manually detecting body temperature and face mask of the individuals at entrances, thus this system detects either the individual wearing face mask or not and also detects body temperature without having contact with human body to ensure health safety.  After detecting if individuals wearing face mask and his body temperature is normal then system allows for the opening entrance in the populated areas like airport, railway stations, schools, colleges and universities etc. And if the system detects body temperature is not normal or individual is not wearing face mask the system warns and will not allow the individual into populated areas.

Problem Statement

Coronavirus disease 2019 has quickly spread in many countries and effecting millions of individuals. Coronavirus is respiratory infectious which transmit from one individuals to others. Studies shows that correct wearing face mask is valuable against the spread of respiratory viruses. There is a problems a number of people don’t wear face mask properly because that face mask effectiveness is compromised. Our system will have capability to warn if someone’s wearing face mask not covering the mouth and nose.

There is much time required in dense populated areas like airport, railway stations and educational institutions to manually check their body temperature one by one and it’s not just time but we also required staff. A world becoming faster day by day so we need to automate things that can work not only faster but also affectively work as human.

Project Objectives

This embedded system helps reduce health factors and effective against the spread of the coronavirus. The basic objective of this project to remove human efforts and automate the system which is less time-consuming.  By removing conventional system of checking the temperature are replaced and cost of the staff will be saved. The system will be highly effective and reliable to provide a user-friendly environment.

Project Implementation Method

In this project we use the low cost minicomputer- a Raspberry pi, a Google Coral USB accelerator tensor processing unit (TPU), a visible light camera and a thermal camera (FLIR Lepton 3.5) which are all portable and relatively inexpensive. By leveraging computer vision, and machine learning classification techniques, the system is designed to be capable of segmenting out regions of interest and classifying the subject as febrile and face mask in real time (frame-by-frame).

Our embedded system will use Machine Learning and image processing techniques to detect face mask, body temperature and social distancing. For implementation we will use OpenCV (Computer Vision Library), Keras and Tensor flow Lite (mobile net).

Benefits of the Project

This embedded system has the following advantages

• Cost-saving of the staff
• Reminder for wearing a face mask
• Crowd avoiding at the entrance
• Time-efficient because don’t need to wait
• Ensure human health safety
• Precaution against the spread of viruses

Technical Details of Final Deliverable

This project can be practically implemented in any entrance point of populated or public areas like universities, shopping malls, airports, and railway stations, etc. Technically we don’t need anything from the proposed authority. The final deliverable will be in the form of software and hardware. At the entrance point, thermal camera and digital cameras (CCTV) is used to analyze the entering individual’s and required action to be performed by the systems. Limitation and customization of this system will be discussed with the authority at the time of the final deliverable and documentation will be provided. This is system is highly customizable and features/ mode can be off according to the requirement of institutions. We can also add cloud data storage for future use of data but it will be depending on the requirements of the institutions.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

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