Insspectrol M: intelligent system for safety protocol in establishments' control and monitoring against COVID-19

Abstract

In this COVID-19 pandemic, monitoring of adherence to safety protocols is one of the most timely and relevant issues across the globe, more specifically, in private or public establishments. However, the process of verifying compliance to safety protocols takes on the traditional or manual approach which can be risky, considering that viral transmission is plausible. With the advancement of technology, the integration of an intelligent and automated system is needed in order to address the rising concerns in the control and monitoring of safety protocols in the establishment. The proposed system helps to reduce the risk of Covid-19 transmission by monitoring an individual’s compliance to the government's safety protocols at the entrance point of the establishment. The system automatically monitors body temperature and detects whether or not an individual is wearing a face mask and/or face shield. The system can also automate alcohol dispensing, QR code scanning, prevent from direct entry, monitor and control the allowable number of individuals in an establishment. The automation of face mask and/or face shield wearing monitoring are performed using Raspberry Pi. The system has an overall object detection accuracy of 100.0% in detecting face mask and face shield.v