Implementation of WebSocket in an IoT-Based Smart Home Door Security System Using ESP32-CAM with Face Recognition

Safriadi Safriadi, Muhammad Nasir, Umri Erdiansyah

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The advancement of Internet of Things technology, especially in the field of information technology, opens up opportunities in the development of smarter, more efficient, and flexible home security systems. Frequently used systems such as fingerprints and RFID still have limitations in flexibility, scalability, and effectiveness against threats. To overcome these problems, an IoT-based home door security system was developed using ESP 32 - CAM and face recognition technology. This system utilizes the Haar Cascade Classifier algorithm for face detection and the Local Binary Pattern Histogram for face recognition. Test results show a fast response, communication stability, and an increase in accuracy of 66.07% with 10 datasets, 86.07% with 50 datasets, and 93.03% with 100 datasets. This shows that the more datasets used, the higher the system's accuracy in recognizing user faces.

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Muwardi, R., & Adisaputro, R. R. (2021). Design sistem keamanan pintu menggunakan face detection. Jurnal Teknologi Elektro, 12(3), 120-128.

Cam, E. S. P., & Winarno, A. (2024). Home Door Security System with Face Recognition Using. 06(02), 9–14.

Alifa, R. F. (2024). Analisis Skalabilitas Sistem Pengenalan Wajah menggunakan Library Face Recognition di Lingkungan Cloud Computing. Explore, 14(2), 113-117.

Alamsyah, R., & Sidabutar, I. (2021). Facial Recognition Using The Haar Cascade Classifier Method For Smart Absence. Jurnal Info Sains: Informatika dan Sains, 11(1), 27-34.

Jutika, A. P. (2022). Implementasi Face Recognition Berbasis Haar-Cascade Classifier Pada Sistem Keamanan Rumah Menggunakan Dual-Camera. INFOTECH journal, 8(2), 106-115.

S. Muliana, Nasir.M, and Mursyidah, “Monitoring Jadwal Belajar Mengajar Prodi Teknik Multimedia Dan Jaringan Dengan Raspberry Pi” Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan, Vol 3, No 1, 2018. doi. Prefix 10.30811/jim by Crossref

Jamal Rosid. (2022). Face Recognition Dengan Metode Haar Cascade dan Facenet. Indonesian Journal of Data and Science, 3(1), 30–34. https://doi.org/10.56705/ijodas.v3i1.38

Tej Chinimilli, B., Anjali, A., Kotturi, A., Reddy Kaipu, V., & Varma Mandapati, J. (2020). Face Recognition based Attendance System using Haar Cascade and Local Binary Pattern Histogram Algorithm. Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020, 1(1), 701–704. https://doi.org/10.1109/ICOEI48184.2020.9143046

Muslimin, Z., Wicaksono, M. A., Fadlurachman, M. F., & Ramli, I. (2019). Rancang Bangun Sistem Keamanan dan Pemantau Tamu pada Pintu Rumah Pintar Berbasis Raspberry Pi dan Chat Bot Telegram. Jurnal Penelitian Enjiniring, 23(2), 121-128.

Antono, F. B., & Rofii, F. (2020). Deteksi Jumlah dan Pengenalan Wajah Manusia Menggunakan Metode Histogram of Oriented Gradient dan Viola Jones. Techno. com, 19(1).

Gunawan, M. A., Purba, H. S., Saputra, N. A. B., Wiranda, N., & Adini, M. H. (2024). Perancangan Pendeteksi Wajah dengan Metode Haar Cascade dan Local Binary Pattern Berbasis OpenCV. Computing and Education Technology Journal, 4(1), 7-16.

Rohmana, A. D. A., Mubarok, H., & Gunawan, R. (2019). Pengukuran Kinerja Stored Procedure pada Database Relasional. Jurnal Siliwangi Seri Sains dan Teknologi, 5(2), 51-55.

Kortylewski, A., Schneider, A., Gerig, T., Egger, B., Morel-Forster, A., & Vetter, T. (2018). Training deep face recognition systems with synthetic data. arXiv preprint arXiv:1802.05891.

Alber, E. (2025). Perancangan Sistem Presensi Face Recognition Dengan Menggunakan Metode Haar Cascade Object Detection. Jurnal Informatika Dan Rekayasa Komputer (JAKAKOM), 5(1), 1365-1374.




DOI: http://dx.doi.org/10.30811/jaise.v6i1.9052

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