Identification of students in higher institutions in Nigeria, coupled with the recent insecurity and impersonation in the country has exposed the need to find a way to identify each and every person in the institution and Cross River University of Technology (CRUTECH), Calabar, Nigeria, is not an exception. The current method of identifying students with an identification card is vulnerable to abuse. To curtail this menace, this research proposes an IOT-based attendance system using ESP32 microcontroller, 0.96” OLED display and R305 fingerprint module. During operation, the system collects the fingerprint data from multiple users through the microcontroller based on ESP32 Wi-Fi enabled module and sends it over the internet to a website. Enrollment of fingerprints is done on the server using the interfaced fingerprint sensor module. Verification of user’s fingerprint is done on the webserver while fingerprint templates are transmitted over Wi-Fi. The website user interface (UI) used in this project is developed using PHP, CSS and JavaScript. It has a database and records of attendance. By logging into the website, attendance records of each user, including personal details as well as incoming and outgoing time can be collected. This data can be downloaded and exported to an excel sheet for evaluation.
CITATION STYLE
Prince Ana, Ukoette Jeremiah Ekah, & Emmanuel Oyo-Ita. (2022). IOT-based biometric attendance system for CRUTECH. International Journal of Science and Research Archive, 5(1), 039–050. https://doi.org/10.30574/ijsra.2022.5.1.0035
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