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

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.

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Institutions

Publication Details

Journal
BEST Journal of Applied Electrical Science & Technology
Published
2024-09-16
DOI
https://doi.org/10.36456/best.vol6.no2.9588
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.42
Controls
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article

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

Dwi Fajar Saputra
2 citations
BEST Journal of Applied Electrical Science & Technology
IoT-based Smart Home Systems
0.42
article

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

Dwi Fajar Saputra
article en
2 citations

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.

BEST Journal of Applied Electrical Science & TechnologyVol. 6(2)
Universitas PGRI Semarang (ID), Universitas PGRI Adi Buana Surabaya
Openalex Percentile: Top 37%
IoT-based Smart Home Systems
0.42
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Home Door Security System with Face Recognition using the Esp 32 Cam — Dwi Fajar Saputra · BEST Journal of Applied Electrical Science & Technology (2024) | TGRS Research Map | TGRS