“Tec-House” WEBCAM-BASED REMOTE SENSING SYSTEM FOR HOME AND BUILDING SECURITY USING THE HAAR CASCADE METHOD
Main Article Content
Keywords
Security, Webcam, Raspberry, Haar Cascade
Abstract
A home security system is something that every home owner must pay attention crimes such as burglary often put homeowners at risk. Therefore we need a tool that can bring together automatically remotely to protect the house. The system worked on in this article is a remote sensing system based on webcam. The method used in this sensing system uses the haar cascade classifier method. The results obtained from this remote sensing system are for the implementation of the system on homeowner data sets with 98% results, while for non-home owner image data sets with 96% results. From the results of using a webcam-based remote sensing system using the Haar Cascade Classifier method it can be implemented properly and the average error is 97%. The existence of this Tec-House tool can reduce the crime of theft in a house or building.
References
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D. Adrian Eka Permana, “Analisis Deteksi Tepi Untuk Mengidentifikasi Pola Wajah Reviuw (Image Edge Detection Based Dan Morphology),” Jurnal Ilmiah Go Infotech, vol. 21, no. 1, pp. 13-17, 2015.
Sehman, “Penerapan Face Recognition dengan Metode Eigenface pada Intelligent Car Security,” IDeaTech Inovasi dalam Desain dan Teknologi, pp. 342-348, 2015.
N. Z. M. F. A. L. N. H. Nazirah Ahmad Zaini, “Remote monitoring system based on a Wi-Fi controlled car using Raspberry Pi,” dalam IEEE Conference on Systems, Process and Control (ICSPC), Melaka, Malaysia, 2016.
M. A. A. S. Teddy Mantoro, “Multi-Faces Recognition Process Using Haar Cascades and Eigenface Methods,” dalam International Conference on Multimedia Computing and Systems (ICMCS), Rabat, Morocco, 2018.
S. M. P. S. S. S. H. A. Ruth Ramya Kalangi, “Deployment of Haar Cascade Algorithm to Detect Real-Time Faces,” dalam International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2022.
M. T. R. Ali Mahmudi, “Deteksi Senjata Tajam Dengan Metode Haar Cascade Classifier Menggunakan Teknologi Sms Gateway,” Jurnal Ilmu Komputer dan Teknologi Informasi, vol. 1, no. 1, pp. 27-30, 2014.
S. Abidin, “Deteksi Wajah Menggunakan Metode Haar Cascade Classifier Berbasis Webcam Pada Matlab,” Jurnal Teknologi Elektrika,, vol. 15, no. 1, pp. 21-27, 2018.
R. A. A. Priska Choirina, “Deteksi Jenis Kelamin Berdasarkan Citra Wajah Jarak Jauh Dengan Metode Haar Cascade Classifier,” Jurnal Informatika Polinema, vol. 2, no. 4, pp. 164-169, 2016.
K. A. M. O. Galang Aprilian Anarki, “Penerapan Metode Haar Cascade Pada Aplikasi Deteksi Masker,” JATI Jurnal Mahasiswa Teknik Informatika, vol. 5, no. 1, pp. 179-186, 2021.
M. A. A. Teddy Mantoro, “Multi-Faces Recognition Process Using Haar Cascades and Eigenface Methods,” dalam International Conference on Multimedia Computing and Systems (ICMCS), Rabat, Morocco, 2018.
d. Ahmad Ilham, “AuFloat (Autonomous Float) Based-on Artificial Inteligent and LORA (Long Range) Using Haar Cascade Method for Rescuing of Water Accident Victims,” dalam International Symposium on Electronics and Smart Devices, Bandung, Indonesia, 2019.
M. H. Adri Priadana, “Face Detection using Haar Cascades to Filter Selfie Face Image on Instagram,” dalam International Conference of Artificial Intelligence and Information Technology (ICAIIT), Yogyakarta, Indonesia, 2019.
Y. K. Rastri Prathivi, “Sistem Presensi Kelas Menggunakan Pengenalan Wajah Dengan Metode Haar Cascade Classifier.,” SIMETRIS, vol. 11, no. 1, pp. 135-142, 2020.
Y. W. Mahada Panji Anggadhita, “Breaches Detection in Zebra Cross Traffic Light Using Haar Cascade Classifier,” dalam International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, 2020.
N. Surantha and W. R. Wicaksono, “Design of Smart Home Security System using Object Recognition and PIR Sensor,” in Procedia Computer Science, 2018, vol. 135, pp. 465–472. doi: 10.1016/j.procs.2018.08.198.
Vaigai College of Engineering, Institute of Electrical and Electronics Engineers. Madras Section, and Institute of Electrical and Electronics Engineers, Proceedings of the 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) : June 15-16, 2017.
C. Davidson, T. Rezwana, and M. A. Hoque, “Smart Home Security Application Enabled by IoT:: Using Arduino, Raspberry Pi, NodeJS, and MongoDB,” in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2019, vol. 256, pp. 46–56. doi: 10.1007/978-3-030-05928-6_5.
T. Prathaban, W. Thean, and M. I. S. M. Sazali, “A vision-based home security system using OpenCV on Raspberry Pi 3,” in AIP Conference Proceedings, Nov. 2019, vol. 2173. doi: 10.1063/1.5133928.
Institute of Electrical and Electronics Engineers, Adhiparasakthi Engineering College. Department of Electronics and Communication Engineering, and Institute of Electrical and Electronics Engineers. Madras Section, Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing (ICCSP) : 6th-8th April, 2017, Melmaruvathur, India.
Institute of Electrical and Electronics Engineers. Kerala Section, TKM College of Engineering, and Institute of Electrical and Electronics Engineers, 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) : 8-10 August, 2017.
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Published
Jul 31, 2023
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How to Cite
Santiyadnya, N., & Setiawan Suda, K. R. (2023). “Tec-House” WEBCAM-BASED REMOTE SENSING SYSTEM FOR HOME AND BUILDING SECURITY USING THE HAAR CASCADE METHOD . Jurnal Nasional Teknik Elektro, 12(2). https://doi.org/10.25077/jnte.v12n2.1059.2023
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