Design and Develop A COVID-19 Vaccine Level Detection System For Access Public Services Users Using Face Recognition by Raspberry-pi
Sadriva Zalukhu, I Gede Puja Astawa, Anang Budikarso · 2023
The COVID-19 pandemic has transformed many aspects of society, including widespread social restrictions. The COVID-19 vaccination has been actively advocated throughout Indonesia and is now a requirement for accessing public services. Facial recognition technology has emerged as one of the solutions used during this pandemic. In this research, we propose a system that can detect individuals vaccinated against COVID-19 by leveraging facial recognition technology based on the Haar Cascade algorithm, using data stored in a database. The facial recognition process underwent several tests, including dataset acquisition distance, attributeless face recognition, and face recognition with glasses. Dataset acquisition at a distance of 150cm was deemed safe and produced accurate results. Furthermore, the system recognized attributeless faces and correctly identified individuals wearing glasses. This facial recognition system is integrated with a database, ensuring user data is accurately displayed based on the detected facial recognition results. The results of these tests demonstrate the system’s ability to present data following the dataset and user ID stored in the database.