Wireless Biometric Fingerprint Attendance System Using Arduino and MySQL Database

Abstract

Fingerprints are considered to be the best and fastest method for checking attendance. They are secured to use, unique to every person, and do not change in one's lifetime barring accident. The objective of this paper was to improve on the fingerprint identification system for implementation on a large database. The main objective of this paper was to design and construct an attendance system using a fingerprint module. In this system, Arduino Wemos D1 R2 ESP8266 (microcontroller) and Adafruit fingerprint reader are the main components used to insert records into a database.

Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application

“…We classified the attendance system (according to the different equipment requirements and techniques) into four categories: (1) biometric fingerprint verification [10][11][12][13][14][15], (2) RFID-based technology [16][17][18][19], (3) QR code-based technology [20][21][22][23] , and (4) facial recognition [24][25][26][27][28], as shown in Figure 1.…”

“…Fingerprints have special characteristics that are unique to every person and do not change throughout one's lifetime, barring an accident [15]. Thus, a fingerprint system is the best/fastest method for an attendance system.…”

“…Moreover, the transformation from paper-based data to electronic forms has been challenging. Four main methods use reliable personal identification in attendance systems: (1) biometric fingerprint verification [10][11][12][13][14][15], (2) radio frequency identification (RFID)-based technology [16][17][18][19], (3) quick response (QR) code-based technology [20][21][22][23], and (4) facial recognition [24][25][26][27][28]. First, an RFID-based attendance system can immediately verify user attendance (e.g., students place their ID cards on the reader) [16][17][18][19].…”

“…Second, fingerprint recognition is the most reliable method for attendance system-based biometric recognition algorithms that consist of sensing, feature extraction, and matching modules. Biometric sensors scan the biometric traits of an individual (compared to the dataset created before) [15]. This system can result in a more efficient attendance system [12][13][14][15].…”

“…Biometric sensors scan the biometric traits of an individual (compared to the dataset created before) [15]. This system can result in a more efficient attendance system [12][13][14][15]. However, a fingerprint-based attendance system needs integration with other systems to adapt to the Internet-of-Things era.…”