Sistem Keamanan Pintu Otomatis Berbasis Face Recognation Menggunakan ESP 32 Cam dan Sensor RFID dengan Notifikasi Telegram

Abstract

The development of modern technology has contributed significantly to the improvement of security systems, especially in terms of monitoring access to a room or building. This research aims to design and implement an automatic door security system based on facial recognition using the ESP32-CAM module equipped with additional authentication via RFID sensors and a real-time notification system via the Telegram application. This system is built with two complementary layers of authentication, where users who want to open the door must be recognized by the system either through their face or a previously registered RFID card. The system works by capturing facial images using the ESP32-CAM camera, then matching them with facial data already stored in the database. If the results are valid, the system will continue the verification process by reading the RFID card using the RC522 RFID module. If both authentication processes are successful, the door will open automatically and the system will send a notification complete with a photo to a predetermined Telegram account. Conversely, if one of the authentication processes fails, access will be denied and a notification will still be sent to notify the system owner of the unauthorized access attempt. Test results show that the system is able to recognize faces and read RFID tags well in various lighting conditions and is able to send notifications in real-time.