Application of IoT Technology for Automatic Provisioning Systems in Freshwater Fish Farming at STMIK Kaputama

Abstract

_{The development of secure vault systems is essential in addressing limitations found in traditional security mechanisms, such as physical keys and numerical combinations. This study presents the design and implementation of an Internet of Things (IoT)-based vault security system that integrates dual biometric authentication, facial recognition using ESP32-CAM, and fingerprint verification using the AS608 sensor. The system enforces a sequential authentication process, ensuring the facial scan is verified before activating the fingerprint module. Successful dual authentication triggers a solenoid lock to grant access, enhances security, and prevents unauthorized entry. The system communicates with Firebase for real-time status updates and access logs, which can be monitored through an Android application. Hardware and software testing confirmed the effectiveness of component integration, biometric reliability, and real-time connectivity. The device also operates effectively on battery power, increasing portability. The results demonstrate that dual biometric verification significantly increases vault security while providing a practical and efficient user experience.}