Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

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Design and Build a Smart Door Lock Using Face Recognition

Authors
Rizky Aprylianto Susilo1, *, Dicky Chandra1, Abdul Hamid Kurniawan1, Hari Subagyo1
1Dept. Electrical Engineering, State Polytechnic of Samarinda, Samarinda, Indonesia
*Corresponding author. Email: apriliantorizky86@gmail.com
Corresponding Author
Rizky Aprylianto Susilo
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_92How to use a DOI?
Keywords
ESP32-CAM; Microcontroller; Smart Door Lock; Technology; Telegram
Abstract

The door has become an access point to a house where it is used for entering and exiting. Security is one of the crucial factors in a residence. Criminal activities often occur by tampering or breaking the lock system of the house door. Currently, the security of house doors generally still relies on wooden supports, handle locks, and sometimes the use of padlocks. Now, door security systems can be obtained through various methods, one of which is by implementing technology. Therefore, a smart lock door system was created using face recognition technology, specifically utilizing the ESP32-CAM module, integrated into the system, allowing the door to be unlocked using one’s face as the password. Additionally, the smart lock door incorporates the assistance of a Telegram application, which serves to store detected images and act as a real-time monitor of the situation in front of the house. The methodology employed was a literature review, utilizing written sources to gather information, and a consultation method involving interactions with advisors and individuals possessing relevant knowledge or experience. The testing results indicate that the ESP32-CAM can be effectively utilized as a detector for the smart lock door system.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
10.2991/978-94-6463-364-1_92
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_92How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rizky Aprylianto Susilo
AU  - Dicky Chandra
AU  - Abdul Hamid Kurniawan
AU  - Hari Subagyo
PY  - 2024
DA  - 2024/02/17
TI  - Design and Build a Smart Door Lock Using Face Recognition
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 1001
EP  - 1014
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_92
DO  - 10.2991/978-94-6463-364-1_92
ID  - Susilo2024
ER  -