Covid Temperature DETECTION And automatic hand sanitizer

The main objective of this project is to measure and display the temperature of the human body.  It will also record the measured body temperature in the database. The Body temperature will also be live displayed on the website. If body temperature exceeds the normal limit, a buzzer is blown as

Project Title

Covid Temperature DETECTION And automatic hand sanitizer

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

The main objective of this project is to measure and display the temperature of the human body.  It will also record the measured body temperature in the database. The Body temperature will also be live displayed on the website. If body temperature exceeds the normal limit, a buzzer is blown as a danger signal, and the person is sent for medication and safety treatment. The system is built with the help of NodeMCU, and all the modules are interconnected and programmed using the Arduino IDE tool.

Project Objectives

Arduino IDE, VS code, XAMPP, NodeMCU, Buzzer, Temperature sensor MLX90614, IR sensor, OLED

Project Implementation Method

The Body temperature will also be live displayed on the website. If body temperature exceeds the normal limit, a buzzer is blown as a danger signal, and the person is sent for medication and safety treatment. The system is built with the help of NodeMCU, and all the modules are interconnected and programmed using the Arduino IDE tool.

Benefits of the Project

At the time of writing this article, the world population is suffering from more than 2 million registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona virus, which is now officially known as SARS-CoV-2. However, tremendous efforts have been made worldwide to counter-steer and control the epidemic by now labelled as pandemic. In this contribution, we provide an overview on the potential for computer audition (CA), i.e., the usage of speech and sound analysis by artificial intelligence to help in this scenario. We first survey which types of related or contextually significant phenomena can be automatically assessed from speech or sound. These include the automatic recognition and monitoring of COVID-19 directly or its symptoms such as breathing, dry, and wet coughing or sneezing sounds, speech under cold, eating behaviour, sleepiness, or pain to name but a few. Then, we consider potential use-cases for exploitation. These include risk assessment and diagnosis based on symptom histograms and their development over time, as well as monitoring of spread, social distancing and its effects, treatment and recovery, and patient well-being. We quickly guide further through challenges that need to be faced for real-life usage and limitations also in comparison with non-audio solutions. We come to the conclusion that CA appears ready for implementation of (pre-)diagnosis and monitoring tools, and more generally provides rich and significant, yet so far untapped potential in the fight against COVID-19 spread.

Technical Details of Final Deliverable

I hereby state that the above mentioned goal of our degree project shall be completed within the due date specified by the Department. I shall abide by all the rules set by the department.

                 I shall not be using any unfair means to complete my degree project and I admit that Plagiarism is a professional sin and I shall not use it.

Final Deliverable of the Project

Hardware System

Core Industry

IT

Other Industries

Medical

Core Technology

Others

Other Technologies

Sustainable Development Goals

Required Resources

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