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All Journal Majalah Geografi Indonesia IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Algoritma, Logika dan Komputasi Journal of Social Research Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Sains Asian Journal of Social and Humanities
Widodo, Agung Mulyo
Fakultas Ilmu Komputer, Universitas Esa Unggul
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences

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Journal : Journal of Social Research

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Preventing Child Kidnaping at Home Using CCTV that Utilizes Face Recognition with You Only Look Once (YOLO) Algorithm Gerry Firmasyah; Joniwan Joniwan; Agung Mulyo Widodo; Budi Tjahjono
Journal of Social Research Vol. 2 No. 9 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i9.1403

Abstract

The rise of child abductions often occurs because of weak parental supervision and weak vigilance of strangers who intentionally or unintentionally approach children. Early warning when a child is approached by an unknown person can cancel the intention of the kidnapper. Indeed, CCTV can be used as a tool to thwart crime. Face Recognition is one of the best biometric recognition systems for identifying someone whose body or DNA has certain characteristics that distinguish one person from another. This research resulted in the right collaboration between CCTV which is equipped with the YOLOv8 algorithm which can detect a human object in real-time and also utilizes face recognition which can prevent child abduction by providing an early warning to kidnappers when approaching children. The results of the first test are the optimal combination using 3 cameras and the CNN method and the shooting time in the afternoon. This combination succeeded in providing an early warning in the form of a siren whose sound is issued with the help of a loudspeaker when a child is left alone and approached by an unknown person with the distance between the camera and the object to be detected as far as 1 meter to 3 meters which takes 15 seconds to 22 seconds to complete the detection process in an image. Then the results of further testing with 6 cameras using the LBPH method take between 17 seconds to 18 seconds to complete the detection process in an image, SVM takes 20 seconds to 42 seconds and CNN takes 17 seconds to 24 seconds.
Co-Authors Achmad Fansuri Binastya Anggara Sekti Doni Antoro Dulbahri Dulbahri Eko Prasetyo Fikri Saefullah Gerry Firmansyah Gerry Firmasyah Hartono Hartono Ichwani, arief Ilham Banuaji Iwan Setiawan Izhar Rahim Joniwan Joniwan Kundang Karsono Juman Kus Hendrawan Muiz Muhamad Bahrul Ulum Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Rifqi Khairurrahman Rizki Faro Khatiningsih Tjahjono, Budi Vitri Tundjungsari Yanathifal Salsabila Anggraeni Yulhendri Yulhendri