Implementation of cloud-based biometric attendance system for educators in a developing country

Abstract

The rising demand for data and its machine-aided dynamics calls for more deliberate effort on standardized collection, especially in formats suitable for identifying relationships between its features. This paper reports the implementation of cloud-based biometric attendance system to address the limitations associated with the traditional attendance system, which is still predominantly in use across institutions in developing countries. The cloud-based attendance uses a fingerprint recognition system for authenticating attendance, displays user identity via Organic Light Emitting Diode (OLED) display and uploads the processed attendance data into cloud with the aid of the ESP32 microcontroller and its development board. At the point of taking the attendance, the system exclusively authenticates and processes the attendance of the pre-registered candidates whose fingerprints matches those pre-stored and uploads the result into the cloud for access by the administrator remotely. The system is simple and modular with an impressive performance, recording authentication and loading to cloud at an average of 2-5 seconds per candidate. With this system in place, it would be easier to get the required data to enforce the eligibility criteria for assessment and this invariably would also encourage punctuality and students’ participation in classroom activities.