Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method
Keywords:
Low cost system, Face mask detection, Haar like features, COVID-19
Abstract
In December 2019, there was a pandemic caused by a new type of coronavirus, namely SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus 2) spread almost throughout the world. The World Health Organization (WHO) named it COVID-19 (Coronavirus Disease). To minimize the spread of the COVID-19, the Indonesian government announced a policy for the social distancing of 1-2 meters and wearing a medical mask. In this study, a mask detection system was built using the Haar Cascade Classifier method by detecting the facial areas such as the nose and lips. The study aims to distinguish between using masks and on the contrary. It is expected that the mask detection system can be implemented to provide direct warnings to people who do not wear masks in public areas. The results using the Haar Cascade Classifier method show that the system designed is able to detect faces, noses, and lips at a light intensity of 80-140 lux. The face is detected at a distance of 30-120cm, while the nose is at a distance of 30-60cm, while the lips are at a distance of 30-70cm. The system designed can perform the detection process at a speed of 5 fps. The overall test results obtained a success rate of 88,89%.
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References
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[3] W. Director-General, “Coronavirus disease 2019 ( COVID-19 ),” World Health Orgnatization (WHO). https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200423-sitrep-94-covid-19.pdf (accessed Jul. 27, 2020).
[4] S. Annas, M. Isbar Pratama, M. Rifandi, W. Sanusi, and S. Side, “Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia,” Chaos, Solitons and Fractals, vol. 139, pp. 1–7, 2020, doi: 10.1016/j.chaos.2020.110072.
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[7] W. Lyu and G. L. Wehby, “Community Use Of Face Masks And COVID-19: Evidence From A Natural Experiment Of State Mandates In The US,” Health affairs (Project Hope), vol. 39, no. 8, pp. 1419–1425, 2020, doi: 10.1377/hlthaff.2020.00818.
[8] S. Feng, C. Shen, N. Xia, W. Song, M. Fan, and B. J. Cowling, “Rational use of face masks in the COVID-19 pandemic,” The Lancet Respiratory Medicine, vol. 8, no. 5, pp. 434–436, 2020, doi: 10.1016/S2213-2600(20)30134-X.
[9] D. K. Chu et al., “Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis,” The Lancet, vol. 395, no. 10242, pp. 1973–1987, 2020, doi: 10.1016/S0140-6736(20)31142-9.
[10] M. M. Lambacing and Ferdiansyah, “Rancang Bangun New Normal Covid-19 Masker Detektor Dengan Notifikasi Telegram Berbasis Internet of Things,” Jurnal Dinamik, vol. 25, no. 2, pp. 77–84, 2020, doi: 10.35315/dinamik.v25i2.8070.
[11] G. Saranya, D. Sarkar, S. Ghosh, L. Basu, K. Kumaran, and N. Ananthi, “Face Mask Detection using Jetson Nano,” International Research Journal of Modernization in Engineering Technology and Science, vol. 03, no. 09, pp. 702–706, 2021, doi: 10.1109/csnt51715.2021.9509556.
[12] M. D. Putro, D. L. Nguyen, and K. H. Jo, Real-Time Multi-view Face Mask Detector on Edge Device for Supporting Service Robots in the COVID-19 Pandemic, vol. 12672 LNAI, no. April. Springer International Publishing, 2021.
[13] S. R. Reza, X. Dong, and L. Qian, “Robust Face Mask Detection using Deep Learning on IoT Devices,” IEEE International Conference on Communications Workshops (ICC Workshops), 2021, [Online]. Available: https://ieeexplore.ieee.org/document/9473701.
[14] N. S. Luthfie, “Implementasi Jaringan Saraf Tiruan Backpropagation pada Aplikasi Pengenalan Wajah Dengan Jarak Yang Berbeda Menggunakan MATLAB 7.0,” Informatika, Jurusan Teknik Gunadarma, Universitas, pp. 1–7, 2007.
[15] S. Al-Aidid and D. Pamungkas, “Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary Pattern Histogram,” Jurnal Rekayasa Elektrika, vol. 14, no. 1, pp. 62–67, 2018, doi: 10.17529/jre.v14i1.9799.
[16] P. Choirina and R. A. Asmara, “Deteksi Jenis Kelamin Berdasarkan Citra Wajah Jarak Jauh Dengan Metode Haar Cascade Classifier,” Jurnal Informatika Polinema, vol. 2, no. 4, p. 164, 2016, doi: 10.33795/jip.v2i4.77.
[17] W. Sulistiyo, B. Suyanto, I. Hestiningsih, Mardiono, and Sukamto, “Rancang Bangun Prototipe Aplikasi Pengenalan Wajah untuk Sistem Absensi Alternatif dengan Metode Haar Like Feature dan Eigenface,” Journal of Technical Education and Training (JTET), vol. 3, no. 2, pp. 93–98, 2014, [Online]. Available: https://jurnal.polines.ac.id/index.php/jtet/article/view/180/172.
[18] R. Prathivi and Y. Kurniawati, “Sistem Presensi Kelas Menggunakan Pengenalan Wajah Dengan Metode Haar Cascade Classifier,” Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 11, no. 1, pp. 135–142, 2020, doi: 10.24176/simet.v11i1.3754.
[19] V. K and S.Padmavathi, “Facial Parts Detection Using Viola Jones Algorithm,” International Conference on Advanced Computing and Communication Systems (ICACCS -2015), pp. 1–4, 2017.
[20] Raspberry Pi Foundation, “Camera Module,” in Product Data, 2016, p. 1.
[21] RaspberryPi, “Raspberry Pi 3 Model B+ Datasheet,” Datasheet, p. 5, 2016, [Online]. Available: https://static.raspberrypi.org/files/product-briefs/Raspberry-Pi-Model-Bplus-Product-Brief.pdf.
[22] M. L. R. Chandra, B. V. Kumar, and B. Sureshbabu, “IoT enabled home with smart security,” 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, pp. 1193–1197, 2018, doi: 10.1109/ICECDS.2017.8389630.
[23] I. Imanuddin, F. Alhadi, R. Oktafian, and A. Ihsan, “Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 18, no. 2, pp. 321–329, 2019, doi: 10.30812/matrik.v18i2.389.
[24] S. Chau, J. Banjarnahor, D. Irfansyah, and S. Kumala, “Analisis Pendeteksian Pola Wajah Menggunakan Metode Haar-Like Feature,” Journal of Informatics and Telecommunication Engineering, vol. 2, no. 2, p. 69, 2019, doi: 10.31289/jite.v2i2.2133.
Published
2021-11-26
How to Cite
Labib, R., Hadi, S., & Widayaka, P. (2021). Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 21(1), 21-30. https://doi.org/https://doi.org/10.30812/matrik.v21i1.1187
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