Detection of COVID-19 Infections

Background

The SARS-CoV-2 virus has hit the world in November 2019, causing a pandemic, rarely known with such scale to humanity. Governments around the world have implemented several drastic measures to contain the virus such as locking down cities, banning travel, and enforcing social distancing.

Individuals who get infected with SARS-CoV-2 show several symptoms that include fever, dry cough, tiredness, and difficulty in breathing. While the symptoms vary in occurrence and severity from one individual to another, yet the early detection of these symptoms helps in reducing the transmission rate of the disease.

Therefore, this project proposes the design and implementation of a drone-based system that can detect symptoms of COVID-19 infection from a distance. In essence, the system utilizes Unmanned Aerial Vehicles and Artificial Intelligence to perform skin temperature and action recognition of targets from a distance that reaches up to 15 meters.

Results