Home Door Security System with Face Recognition using the Esp 32 Cam: Home Door Security System with Face Recognition using the Esp 32 Cam

Adi Winarno; Dimas Ricky Saputra

doi:10.36456/best.vol6.no2.9588

Authors

Adi Winarno University of PGRI Adi Buana Surabaya
Dimas Ricky Saputra University of PGRI Adi Buana Surabaya

DOI:

https://doi.org/10.36456/best.vol6.no2.9588

Keywords:

locker security, kodular, IoT, ESP32-CAM, telegram

Abstract

The development of science and technology, especially in the fields of Electronics and Informatics, is expected to enhance room or home security systems, particularly home door security systems. Many door security technologies have been developed to prevent and ensure the comfort of homeowners when they leave their homes. Some commonly used door security systems include CCTV cameras, fingerprint sensors, voice sensors, and RFID. However, with technological advancements, these security systems have shown vulnerabilities, such as frequent errors in fingerprint and voice sensors. Based on this, to create a more secure and innovative home door security system, the authors developed a security system with face detection and a remote warning notification system using Telegram. The researchers created a door security system using the ESP 32-CAM for face detection and as a controller for the Internet of Things (IoT) system. Additionally, a manual system using a keypad for password input was also created. The results of this study include the accuracy and speed of face recognition and the speed of sending security system warning information through the Telegram application.

Author Biography

Adi Winarno, University of PGRI Adi Buana Surabaya

Lecturer of

Departement of Electrical Engineering, Faculty of Engineering University of PGRI Adi Buana Surabaya, Indonesia.

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