Review Article

Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Table 1

Microcontroller platform used in biometric-based attendance systems.

YearAuthorsBiometricsCore/microcontroller board

2010Kadry and Smaili [76]Iris80C51/AT89C5122
2010Li et al. [88]FingerprintDigital signal processor/TMS320C5409
2012Basheer and Raghu [54]FingerprintPIC18F4550
2014Said et al. [79]FingerprintPIC16F876A
2014Zainal et al. [38]FingerprintATmega 1280/Arduino Mega
2015Kamaraju and Kumar [75]FingerprintDigital signal processor/ADSP-BF532
2015Mazhar et al. [82]FingerprintATmega 2560
2015Mittal et al. [18]FingerprintATmega 328/Arduino UNO
2016Ahmed et al. [39]FingerprintATmega 2560/Arduino Mega
2016Gadhave and Kore [42]FingerprintBroadcom BCM2835 ARM11/Raspberry Pi
2016Rajkumar and Prakash [45]FaceBroadcom BCM2836 ARM Cortex-A7/Raspberry Pi 2 Model B
2016Sarker et al. [35]FingerprintATmega 2560/Arduino Mega
2017Dhanalakshmi et al. [48]FingerprintARM Cortex-A5/AtmelSAMA5D31
2017Purohit et al. [43]Fingerprint80C51/P89V51RD2
2017Saxena et al. [81]FaceATmega 328/Arduino board
2017Soniya et al. [51]FaceATmega 328/Arduino Uno
2018Bhattacharya et al. [52]FaceIntel Curie and Intel Pentium N3710 processor/UDOO ×86 ultrasingle board computer
2018Salim et al. [46]FaceBroadcom BCM2837 ARM Cortex-A53/Raspberry Pi 3 Model B
2018Yusof et al. [62]FaceBroadcom BCM2837B0 ARM Cortex-A53/Raspberry Pi 3 Model B+
2019Gagandeep et al. [44]FingerprintARM Cortex-M3/STM32F103C8