Design of Smart Door Lock System Using Face Recognition and Mask Detection Based on Viola-Jones Algorithm with Android Integration
DOI:
https://doi.org/10.33795/jartel.v13i1.517Keywords:
Face Recognition, Internet of Things, Mask Detection, Smart Door Lock, Viola-JonesAbstract
Indonesia has been affected by COVID-19 since 2020. In order to stop the virus spreading, the government puts Large Scale Social Restrictions. There is no denying that during this pandemic, criminality is increasing, and this is due to nothing other than the need to survive. The stealing and invading of homes is one of the crimes that have increased. Additionally, the government has strengthened health procedures to require that individuals wear masks while doing activities outside. A system that can identify faces and identify the use of masks was developed in order to solve this issue. Face recognition is used to increase security, and mask detection systems work to enforce the wearing of masks when engaging in outside activities. Both of these technologies can be combined into a single smart door lock system for the home. The system will apply facial recognition identification when someone wants to enter the house and mask detection when they want to do activities outside the house. As a monitoring tool, data will be delivered in the form of an image via the user's Android. This is proven by the accuracy rates of facial identification of 95% and mask detection of 97.5% in this research.
References
H. Nishiura, N. M. Linton, and A. R. Akhmetzhanov, “Serial interval of novel coronavirus (COVID-19) infections,” Int. J. Infect. Dis., vol. 93, pp. 284–286, 2020.
Wu, Yi-Chia; Chen, Ching-Sunga; Chan, Yu-Jiuna,b,c,*. The outbreak of COVID-19: An overview. Journal of the Chinese Medical Association 83(3):p 217-220, March 2020.
T. Alam and S. Qamar, “Coronavirus Disease (COVID-19): Reviews, Applications, and Current Status,” J. Inform. Univ. Pamulang, vol. 5, no. 3, p. 213, 2020.
D. Chen et al., “Recurrence of positive SARS-CoV-2 RNA in COVID-19: A case report,” Int. J. Infect. Dis., vol. 93, pp. 297–299, 2020.
S. M. Situmeang, “Fenomena Kejahatan Di Masa Pandemi Covid-19: Perspektif Kriminologi,” Maj. Ilm. UNIKOM, vol. 19, no. 1, pp. 35–43, 2021.
E. Fadly, S. A. Wibowo and A. P. Sasmito, "Sistem Keamanan Pintu Kamar Kos Menggunakan Face Recognition Dengan Telegram Sebagai Media Monitoring dan Controlling," JATI (Jurnal Mahasiswa Teknik Informatika), vol. 5, no. 2, pp. 435-442, 2021.
M. Arsal, B. A. Wardijono and D. Anggraini, "Face Recognition Untuk Akses Pegawai Bank Menggunakan Deep Learning Dengan Metode CNN," Jurnal Nasional Teknologi dan Sistem Informasi, vol. 06, no. 01, pp. 055-063, 2017.
M. N. Baay, A. N. Irfansyah and M. Attamimi, "Sistem Otomatis Pendeteksi Wajah Bermasker Menggunakan Deep Learning," JURNAL TEKNIK ITS, vol. 10, no. 1, pp. 64-70, 2021.
K. Usha, B. Sudeepthi, D. Mahathi and P. Shravya, "Face Mask Detection Using Feature Extraction," in Data Engineering and Communication Technology, Mumbai, Springer, 2020, pp. 437-447.
F. L. Ahmad, A. Nugroho and A. F. Suni, "Deteksi Pemakai Masker Menggunakan Metode Haar Cascade Sebagai Pencegahan COVID-19," Edu Elektrika Journal, vol. 10, no. 1, pp. 13-18, 2021.
S. A. Sanjaya and S. A. Rakhmawan, "Face Mask Detection Using MobileNetV2 in The Era of COVID-19 Pandemic," in 2020 International Conference on Data Analytics for Business and Industry Way Towards a Sustainable Economy (ICDABI), IEEE, 2020.
I. D. Wijaya, U. Nurhasan and M. A. Barata, "Implementasi Raspberry Pi Untuk Rancang Bangun Sistem Keamanan Pintu Ruang Server Dengan Pengenalan wajah Menggunakan Metode Triangle Face," Jurnal Informatika Polinema, vol. 4, no. 1, pp. 9-16, 2017.
S. R, A. Sridhar, R. T. P, S. Farheen and S. Tameem, "Smart Door Lock/Unlock Using Raspberry Pi," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 6, no. 3, pp. 543-548, 2020.
I. Novansyah, T. B. Utomo and M. Y. Fadhlan, "Realisasi Prototype Sistem Smart Door Lock dengan Pengenalan Wajah Terintregasi Telegram Messenger Berbasis Internet Of Things," in Prosiding The 12th Industrial Research Workshop and National Seminar, Bandung, 2021.
J. Baikerikar, V. Kavathekar, Y. Agarwal, S. Bhat, C. Polly and S. Juwatkar, "Home Security System Using Face Recognition," in Proceedings of the 2nd International Conference on Advanced Computing Technologies and Applications, Mumbai, SVKM's Dwarkadas J. Shangvi College of Engineering, 2020, pp. 303-310.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Tania Nurindini, Mitodius Nicho Swacaesar, Rathalia Widita Astika, Hendrik Purwanto, Rieke Adriati Wijayanti, Mochammad Taufik
This work is licensed under a Creative Commons Attribution 4.0 International License.
