Low-cost Prevention of the Spread of Viral Diseases Using Neural Networks

Research background: Globalization has both positive and negative consequences. For more than a year, the whole world been feeling very strongly about one of consequences globalization. And that is rapid spread infectious diseases. Within few months first COVID-19 diseases, pandemic occurred. The most common symptoms this disease are fever, muscle aches, fatigue, loss appetite difficulty breathing. Therefore, it essential to control body temperature reliably. If process monitoring takes place in closed spaces, simultaneously, identification person necessary, we propose low-cost solution. This consists using mobile device combination with thermal camera for capturing people subsequent evaluation classification methods. Purpose article: aim article create model system self-shooting. Follows recognition elevated persons their reduce global impact on economy society. Methods: A (tablet) combined used as sensor. followed by face detection visible images. Methods artificial intelligence (convolutional neural networks) classifications individual persons. Findings & Value added: proposed self-sensing into groups (increased temperature, normal temperature). In places where necessary identify people, also detects temperature. will help fight which characterized fever.