Security Access Control System Enhanced with Face Mask Detection and Temperature Monitoring for Pandemic Trauma
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2029220
ABSTRACT
COVID-19 has affected the livelihood of millions around the world. Pass-infection of the virus between the personnel is a large threat factor. During this pandemic, it's mandatory to wear a mask to prevent the spread of the COVID19. Biometrics and face detection are commonly used to track individual employees' attendance but face recognition methods are ineffective because wearing mask obscures a portion of the face. This biometric can be a medium for the transmission of viruses. The proposed system implements COVID preventive measures such as mask detection and monitors body temperature. In addition, the proposed system checks for authorized persons using RFID technology and employs fingerprint verification application via individual mobile phones for attendance purposes. The system predominantly inspects presence of face masks, then keeps track of body temperature and ultimately controls the automatic door associated with it using RFID technology and android app based fingerprint recognition to allow access to people with authorization. © 2022 IEEE.
COVID-19; IOT; Mask detection; RFID; Temperature measurement; Authorization; Biometrics; Face recognition; Internet of things; Palmprint recognition; Personnel; Physiology; Radio frequency identification (RFID); Viruses; Access control systems; Body temperature; Face masks; Face recognition methods; Faces detection; RFID Technology; Security access; Temperature monitoring
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022
Year:
2022
Document Type:
Article
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