Real-Time Monitoring of COVID-19 Vaccination Compliance: A Ubiquitous IT Convergence Approach

ABSTRACT

As most countries relax restrictions on lockdown and social activities returns due to massive response to COVID-19 vaccination, there is need to put in place a universally acceptable technological innovation that can checkmate and enforce compliance to avoid resurgence of another deadly wave as witnessed previously. Combining vaccination effort with disruptive technology for compliance enforcement is an unarguable panacea. This paper presents an IT-convergence solution that fuses disruptive technologies to distinguish between vaccinated and non-vaccinated individuals in real-time and initiate strict and appropriate compliance directives and consequent denial of access to certain places. The proposed design is a fusion of facial recognition, mask wearing detection technology using Yolov5 deep learning model, network-based vaccination record management application, biometric feature-based vaccination status validation, and compliance enforcement in real-time. The system achieved 99.5% accurate detection and 100% real-time authentication with less computational complexities. This innovation guarantees intuitive monitoring of vaccination progress and curtailment of COVID-19 spread through compliance enforcement.