Development of a Dual Biometric Authentication System Based on IoT with Facial Recognition and Fingerprint for Safe Security

Rangga Sudrajad; Achmad Fauzi; Milli Alfhi Syari

doi:10.59934/jaiea.v5i1.1663

Authors

Rangga Sudrajad STMIK KAPUTAMA
Achmad Fauzi STMIK KAPUTAMA BINJAI
Milli Alfhi Syari STMIK KAPUTAMA BINJAI

DOI:

https://doi.org/10.59934/jaiea.v5i1.1663

Keywords:

Biometric authentication, ESP32-CAM, Fingerprint sensor, Internet of Things

Abstract

Protecting valuable assets requires a security system that adapts to modern challenges, where physical keys or numerical codes on conventional safes are vulnerable to loss, duplication, and breaking. This research develops an Internet of Things (IoT)-based dual biometric authentication system with face recognition using ESP32-CAM and AS608 fingerprint verification performed sequentially, granting access only if both authentication stages are successful. The NodeMCU ESP32 is used as the main controller, integrating the authentication process with the solenoid lock and buzzer, and utilizing Firebase Realtime Database for real-time monitoring of status and access history through an Android application. Unlike previous research, which only used face recognition with manual verification via Telegram, this system is fully automated with multi-layer authentication, making it more secure and efficient. The prototyping method is used to design, program, and test the system, with testing results showing 100% success in opening the safe only for registered users, making this system more reliable than single authentication.

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