IOT Based Smart Helmet for Detection and Diagnosis of COVID

Coronavirus called COVID-19 is a new type of virus identified in December 2019 in humans and animals. COVID-19 was firstly discovered in Wuhan, China, and spread all over the world within weeks. This virus can spread from human to human and in animals. The most common symptoms of COVID-19 are high f

Project Title

IOT Based Smart Helmet for Detection and Diagnosis of COVID

Project Area of Specialization

Wearables and Implantable

Project Summary

Coronavirus called COVID-19 is a new type of virus identified in December 2019 in humans and animals. COVID-19 was firstly discovered in Wuhan, China, and spread all over the world within weeks. This virus can spread from human to human and in animals. The most common symptoms of COVID-19 are high fever, difficulty in breathing, and throat infection. Population temperature is one of the most popular timely monitoring systems. A thermal gun is used to monitor the body temperature to identify the infected individuals which require direct contact with humans. This method is time-consuming as it requires a lot of time monitoring everyone's body temperature. Most importantly, a close relationship with an infected person can also lead to transmission of the deadly virus to the person investigating it and consequently may lead to the rapid spread of the disease.  

To avoid these problems, in this project, we propose to design and develop a smart helmet for the detection and diagnosis of COVID-19 infected people by using the Internet of Things (IoT) technology. The smart helmet will detect COVID-19 by recording the temperature from the thermal image captured from the thermal camera mounted on the helmet. Based on the temperature information, it sends the information of the infected person to the control room. An optical camera also mounted on the helmet will send the face image of the infected persons to the control room for record purposes.  In addition to the smart helmet, a cap with RFID Tag and Reader will monitor the quarantined patients. In this project, by using the IoT technology widely used in the health-care sector, the project will be capable to efficiently detect coronavirus infected people automatically from the thermal image with fewer human interactions using a smart helmet with a mounted thermal imaging system. 

Project Objectives

The main objectives of this project are:

1. To design a smart helmet for efficient detection and identification of COVID-infected people using thermal and optical cameras with less human interaction. 
2. To design a smart cap for monitoring the movement of infected coronavirus patients under quarantine with an RFID tag and reader mounted on the cap.

Project Implementation Method

This project consists of two sub-projects a smart helmet and a smart cap.

Smart Helmet:

It consists of two main subsystems essential in building the whole project. An image processing subsystem helps the processing of images captured from optical and thermal cameras. The temperature is determined from the thermal image and based on the set temperature limit, the infected coronavirus patient is diagnosed, and consequently his/her face image is captured from the optical camera. 

The communication subsystem is based on the Internet of Things (IoT) technology through Raspberry PI. The temperature information and the face image of the infected patient will be sent to the control room to recognize someone who is signed as infected by Covid-19.

Work Flow Diagram:

Smart Cap:

It consists of an RFID Tag and a Reader for monitoring the movements of the infected patients in quarantine.

Benefits of the Project

 The project will help:

1. It will diagnose and detect the coronavirus by measuring the human body temperature using a thermal camera mounted on a smart helmet without direct interaction with the patient. 
2. It will also send the face image of the infected patient captured from the optical camera mounted on the smart helmet to the cloud and central control room. 
3. This project is time-efficient and accurate and avoids human interaction that can lead to the rapid spread of the coronary virus.
4. The smart cap equipped with an RFID tag and reader helps in monitoring the movements of infected covid-19 patients under quarantine to keep them in a safe zone and controlled boundaries. 

Technical Details of Final Deliverable

1) A Smart Helmet consisting of Rasberry PI, Thermal Camera, and Optical Camera for Detection and Diagnoses of COVID-19 Patients. The smart helmet will be equipped with two different types of cameras, allowing the gathering of detailed information of the human faces and temperature measurements.

2) A-Cap consisting of RFID Tags and Reader for monitoring and for checking movements of infected COVID-19 Patients under quarantine.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

IT

Core Technology

Internet of Things (IoT)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure, Sustainable Cities and Communities

Required Resources

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