Perancangan Door Lock Face Recognition Dengan Metoda Eigenfaces Menggunakan Opencv2.4.9 Dan Telegram Messenger Berbasis Raspberry Pi
DOI:
https://doi.org/10.22441/jte.v10i1.001Abstract
Salah satu cara yang dapat digunakan dalam computer vision adalah pengenalan wajah. Sudah banyak metoda yang dapat digunakan untuk melakukan proses tersebut diantaranya adalah Eigenface dan Fisherface. Pada penelitian ini menggunakan metode Eigenface untuk diterapkan pada sistem pembuka pintu otomatis, juga terdapat interaktif mengetahui status pintu sedang tebuka dan tertutup ataupun ingin membuka dan menutup pintu dengan menggunakan aplikasi Telegram messenger. Penelitian ini menggunakan Python sebagai bahasa pemograman dan Raspberry Pi untuk menyimpan database wajah dengan menggunakan library OpenCV 2.4.9 serta untuk mengendalikan komponen hardware. Database yang digunakan terdiri atas 10 foto wajah dan 2 sub folder positif, masing-masing diambil dari 10 posisi wajah terhadap kamera. Berdasarkan hasil perancangan, implementasi dan pengujian yang dilakukan, perancangan alat pembuka pintu dengan identifikasi wajah ini dapat mengetahui siapa yang diperbolehkan untuk membuka pintu, sehingga orang lain tidak bisa membuka pintu untuk menghindari tindak pencurian, dan juga dapat mengetahui status pintu sedang terbuka dan tertutup ataupun ingin membuka dan menutup pintu dengan mengirim chat Telegram. Pengujian pengiriman data photo rata rata pengiriman informasi ke Telegram sebesar 3.712 detik, pengujian sistem chat interaktif Bot Telegram messenger rata rata waktu respon feedback Telegram sebesar 3.786 detik.
Downloads
References
F. Damayanti, A. Z. Arifin dan R. Soelaiman, “Pengenalan Citra Wajah Menggunakan Metode Two-Dimensional Linear Dsicriminant Analysis dan Support Vector Machine”, Jurnal Ilmiah Kursor Institut
Teknologi Sepuluh Nopember, Vol. 5, No. 3, pp. 147-156, 2010.
P. Rosyani, “Pengenalan Wajah Menggunakan Metode Principal Component Assist (PCA) dan Canberra Distance”, Jurnal Informatika Universitas Pamulang, Vol. 2, No. 2, Juni 2017 .
Y. Januzaj, A. Luma, Y. Januzaj and Ymer, V. Ramaj, "Real Time Access Control Based on Face Recognition". International Confrence on Network Security & Computer Science (ICNSCS-15), pp. 7-12, Turkey, Juni 2015. http://dx.doi.org/10.15242/IAE.IAE0615004
A. N. Patil and R. B. Ranavare, “Raspberry Pi Based FaceRecognition System for Door Unlocking”, International Journal of Innovation Research in Science and Engineering (IJIRSE), Vol. 2 No.2, Issue 03, pp. 735-738, March 2016.
P. Timse, P. Aggarwal, P. Sinha and N. Vora, “Face Recognition Based Door Lock System Using Opencv and C# with Remote Access and Security Features”, International Journal of Engineering Research and Applications (IJERA), Vol.4, Issue 4 (Version 6), pp.52-57, April 2014.
Downloads
Published
How to Cite
Issue
Section
License
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
