An IoT Based Intelligent Screening System for Preventing COVID 19 Spread in Premises
Rachit Thukral, Manasi Mishra · 2021 4th International Conference on Computing and Communications Technologies (ICCCT) · 2021
The outbreak of COVID-19 led to huge number of security issues and casualties. In order to effectively prevent the spread of COVID-19, wearing mask and contactless thermal scanning has become mandatory. The conventional methods for visitor screening and temperature measurement have become inappropriate in this situation to avoid any contact. The traditional face recognition techniques are also ineffective as wearing mask hides some parts of the face. This paper presents an Intelligent IoT based screening system capable of contactless thermal scanning, mask detection and masked face recognition. The person not following the Covid-19 guidelines will be denied the access inside the premise. The system uses deep-learning based techniques for masked face recognition by discarding masked region. The data collected has been sent to the cloud using custom protocol stack which is lightweight, reliable and efficient for data communication. Using web application and mobile application, the data corresponding to each user can be monitored remotely using internet. The data collected can be shared to healthcare agencies for further analysis.