Opening Doors Using Internet Of Things (IoT) Based Face Recognition
DOI:
10.47709/brilliance.v1i2.1095Kata Kunci:
Face Recognition, Esp32 Cam, NodeMCU, Relay, SolenoidDimension Badge Record
Abstrak
Face recognition is a digital image processing approach that uses face photographs as input to identify a person. Face recognition is important since the face is a person's primary means of identification because the shape of a person's face differs significantly, which is easy to do intuitively using the visual senses. Image processing, face detection, feature extraction, and classification are all aspects of the face recognition system, which seeks to determine whether the image obtained is a person's face stored in the database. Principles of operation If a human face appears in front of the camera, the system quickly executes a facial recognition procedure and compares the face to facial data kept on the website. If a face detected by the camera matches the face stored on the website, the solenoid will automatically be in the on position or the door will be open, and vice versa, if the face detected by the camera does not match, the solenoid will remain in the off position or the door will remain locked. This tool can be used to improve the security system on the door of a private room or a room that can only be accessed by certain people.
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Referensi
Balkhaya, B., Ilham, D. N., Candra, R. A., Hardisal, H., & Hasbaini, H. (2020). Designing an Arduino-based Automatic Cocoa Fermentation Tool. SinkrOn, 5(1), 92–99. https://doi.org/10.33395/sinkron.v5i1.10611
Bustomi, R. H., Hariyanto, T., & Kunci, K. (2020). Sistem Absensi Berbasis Pengenalan Wajah dengan Metode LBPH Menggunakan Raspberry Pi. Prosiding Industrial Research Workshop and National Seminar, 11(1), 26–27.
Candra, R. A., Ilham, D. N., Hardisal, H., & Sriwahyuni, S. (2019). Light Control Design by Using Social Media Telegram Applications Based on Internet Of Things (IOT). SinkrOn, 3(2), 200. https://doi.org/10.33395/sinkron.v3i2.10094
Candra, R. A., Saputra, D. S., Ilham, D. N., Setiawan, H., & Hardisal, H. (2020). The Infusion of Notification Design With an Application of Social Media Based on a Internet of Things (IOT). SinkrOn, 5(1), 129. https://doi.org/10.33395/sinkron.v5i1.10610
Dodi Sudiana, Arman D. Diponegoro, P. S. P. (n.d.). Sistem pengenalan wajah (face recognition) menggunakan metode Hidden Markov model (HMM). 148, 148–162.
Ihsan, I., Ilham, D. N., Candra, R. A., Yunan, A., & Hardisal, H. (2020). Design of an Automatic Water Pump on a Traditional Boat. SinkrOn, 5(1), 100. https://doi.org/10.33395/sinkron.v5i1.10635
Ilham, D. N., Hardisal, H., Balkhaya, B., Candra, R. A., & Sipahutar, E. (2019). Heart Rate Monitoring and Stimulation with the Internet of Thing-Based (IoT) Alquran Recitation. SinkrOn, 4(1), 221. https://doi.org/10.33395/sinkron.v4i1.10392
Ilham, D. N., Satria, E., Anugreni, F., Candra, R. A., & Kusumo, H. N. R. A. (2021). Rain Monitoring System for Nutmeg Drying Based on Internet of Things. Journal of Computer Networks, Architecture, and High-Performance Computing, 3(1), 52–57. https://doi.org/10.47709/cnahpc.v3i1.933
Panekenan, P. W., Sompie, S. R. U. A., Kambey, F. D., Elektro, T., Sam, U., Manado, R., & Manado, J. K. B. (2019). Implementasi Pengenalan Wajah pada Robot Beroda. Jurnal Teknik Informatika, 14(2), 193–202. https://doi.org/10.35793/jti.14.2.2019.23994
Rosa, Clara Feridda, Riski Amelia, F. M. (2019). Sistem keamanan pintu rumah dengan pengenalan wajah berbasis internet of things. Tugas Akhir.
Sahfitri, I., & Simanjuntak, M. (2021). Penerapan Metode Viola Jones Dalam Sistem Mendeteksi Wajah.
Setiawan, I. I., Jaenul, A., & Priyokusumo, D. (2020). P-75 Prototipe Sistem Keamanan Rumah Menggunakan Face Recognition Berbasis Raspberry Pi 4 Prototype of Home Security System Using Face. 496–501.
Suprianto, D. (2013). Sistem Pengenalan Wajah Secara Real-Time. Sistem Pengenalan Wajah Secara Real-Time Dengan Adaboost, Eigenface PCA & MySQL, 7(2), 179–184.
Susanto, B. M., Purnomo, F. E., & Fahmi, M. F. I. (2017). S istem Keamanan Pintu Berbasis Pengenalan Wajah Menggunakan Metode Fisherface. Jurnal Ilmiah INOVASI, 17(1), 10.
Sutarti, S., Samsuni, S., & Asseghaf, I. (2019). Sistem Keamanan Rumah melalui Pengenalan Wajah Menggunakan Webcam dan Library Opencv Berbasis Raspberry Pi. Jurnal Dinamika Informatika, 8(2), 13–26.
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