Covid-19 Prevention Protocol Compliant System for Staff Attendance Management Using Non-Contact Techniques (CPPCSSAM)

Authors : Aluko Augustine Oli; Omoniyi Akintunde Ojo; Ojajuni Olowatoyin James; Aworetan Fayowole Ayanfe; Oloruntegbe Ayomitan Busola; Owa Victor Korede

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar :

Scribd :


Staff attendance system is a means for organizations to justify the time in and time out of her workforce. It is used to determine the time measured in hours contributed by individual worker for daily, weekly or monthly wages processing. Biometrics refers to the automatic identification of a person based on his or her physiology or behavioral characteristics which include face, fingerprint, iris, voice, retinal scan, hand geometry, palm prints, ear, body odor, DNA. The existence of Nobel Corona Virus code named Covid-19 has poses a great danger on both health and lives of those using traditional and computerized contact based staff attendance management system, hence a contactless based biometric system is needed to replace the existing staff attendance system in compliance with social distancing, less contact with public surfaces area among others. A facial biometric technique was adopted for its ability to identify, verify and authenticate staff for attendance register system without physical contact with the system interface. This project was designed to manage staff attendance register using facial recognition biometric technique. The system was able to capture staff bio-information, facial attribute and cross matched individual identity and authentication for attendance management with conformity to Covid-19 preventive protocols. To achieve the objective, LUXDAN facial recognition SDK was adopted and modified to produce a tailor based system for efficiency, MySQL relational database for backend database, and application interface was developed within the Microsoft Visual Studio Dot Net framework. The was able to capture staff facial coordinates, identify, verify and authenticate human faces from significant distance of the camera coverage and display attendance register marked on staff cell phone using the Wi-Fi network connection available.

Keywords : Algorithm, Facial Recognition, Covid-19, Biometric, Staff, Wi-Fi.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.