Edu Elektrika Journal
Vol. 12 No. 2 (2024)

Perancangan Sistem Pengenalan Wajah Dengan Metode CNN Pada Sistem Keamanan Door Lock Pintu Kamar Hotel

Anwariyah, Komariyuli (Unknown)
Hariani, Yuni Sulpia (Unknown)
Budiman (Unknown)
MZ, Dedy Sofian (Unknown)



Article Info

Publish Date
15 Jan 2025

Abstract

Room door lock security can be managed using conventional techniques or automated systems. Currently, most hotels in Indonesia, particularly in the Lombok area, utilize card keys for room access. This method is effective and convenient, as guests do not need to carry physical keys. However, there are instances when guests forget to take their card when leaving the room, which complicates re-entering their accommodations. One potential solution is to implement the Convolutional Neural Network (CNN) method for recognition. The CNN process involves four key stages: area detection, feature extraction, matching, and recognition. Tests conducted on this system indicate that the CNN method can accurately recognize provided input images. Out of 10 images tested, 90% were recognized successfully. The results suggest that the CNN method is a promising option for enhancing room lock security

Copyrights © 2024






Journal Info

Abbrev

eduel

Publisher

Subject

Electrical & Electronics Engineering

Description

Edu Elektrika Journal starting in 2024 migrates from OJS 2 to OJS 3 to better secure from various unwanted things, including journal hacking and so on. To submit, the author please visit the new website page of our journal at the link ...