Increasing Security of Boarding House Door Access with QR-Code Technology and Fisherface-Based Face Recognition
DOI:
https://doi.org/10.33795/jartel.v16i2.8420Keywords:
Face ID, QR-Code, Fisherface, ESP32, Security, IoTAbstract
This study aims to design and implement a boarding house gate security system based on QR-Code and Face ID using the Fisherface method. The system was developed to improve the security of boarding house resident access through dual authentication integrated with Internet of Things (IoT) technology. The Fisherface method is used as the main facial recognition algorithm because it can recognize facial patterns under different distance and lighting conditions. The system is designed using an ESP32 microcontroller, a cellphone camera, and an Android application as the user interface. Testing was carried out on three users with distance parameters of 20 cm, 40 cm, and 60 cm, facial attribute conditions without accessories, wearing glasses, and wearing a helmet, and lighting conditions ranging from normal light of approximately 360–423 lux, very bright light above 1500 lux, and low light of 15–21 lux. The results show that the system works optimally at distances of 20–40 cm and under normal lighting conditions, where authentication was successfully performed. The system still functioned up to 1823 lux but failed at 1928 lux due to overexposure, while all tests under 15–21 lux failed. Overall, the proposed system improves access security through an efficient two-layer authentication process.
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