Deep learning for Covid-19 Facemask Detection using Autonomous Drone Based on IoT

COVID-19 is a coronavirus-caused viral disease that had spread worldwide. Within over six months after its spread in China at the end of 2019, it infected over 10 million persons worldwide and more than 519,000 had perished. Drones are important in decreasing the range of COVID-19 disease outbreaks in most general applications, and especially in medical applications. This paper presents a new application of an autonomous Drone in fast detecting medical face masks by using Deep Learning to classify people based on their mask-wearing with high accuracy by using a classifier implemented based on MobileNetV2 architecture. The training carried out on an artificially created using Tensorflow, Opencv, and Keras. The autonomous Drone controlled by a smart mobile app with help of IoT technology such as the TeamViewer app, which controls the mobile, and the Qground control app to control the Drone through the MAV-link protocol. The objective of this paper is to use intelligent technology to decrease the spread of coronavirus to protecting people.