Turnstile Access based on Facial Recognition and Vaccine Passport Verification
16th IEEE International Conference on Application of Information and Communication Technologies, AICT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2249072
ABSTRACT
This paper aims to provide a system ensuring turnstile access based on facial recognition and vaccine passport verification in order to enable touch-free entrance to buildings, universities, offices, etc. The algorithm of the proposed method is comprised of two essential parts YOLO algorithm for face detection and CNN for face recognition. After successful user authentication, there are two important criteria that should be met for granting access to the person Person should not be an active COVID-19 patient and Person should have a valid vaccine passport. The proposed method results 95.57% accuracy rate for face detection with YOLO algorithm and 70% for face recognition with CNN. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Language:
English
Journal:
16th IEEE International Conference on Application of Information and Communication Technologies, AICT 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS