Abstract
A safe box with a security system protects personal and valuable items from being stolen, tampered or damaged. The most used security mechanism is using keys and cards, or the use of passwords, personal identification numbers (PINS), and fingerprints for personal identification. Face recognition is one of the most effective security confirmation techniques for a safe box management system. This project proposed a comprehensive face-authentication-based security system that includes software, hardware, and the Internet of Things (IoT). In the software system, the OpenCV built-in library and face recognition algorithm written in Python were implemented. A total of 150 images (i.e., 50 images per subject from 3 individuals) were registered in the database for training and testing the developed face recognition system. The control and working of the hardware are performed by a Raspberry Pi, to which a Pi camera, an infrared sensor, and a solenoid lock are connected. The IoT enables the communication between the Raspberry Pi and Telegram cloud, allowing real-time monitoring of the safe box and alerting the owner by capturing images of approaches. The developed system shows an accuracy ranging from 0.79 to 0.91, the precision range of 0.571–1, the recall range of 0.64–0.88, and the F1-score ranging from 0.6 to 0.81.
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