Application of Passive Infrared Sensor to Improve the Quality of CCTV in Maintaining Home Security
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Artificial intelligence, or AI, is a simulation technology that runs through human intelligence demonstrated by machines or tools. Artificial intelligence can overcome and provide a sense of comfort, especially in the application of CCTV devices that use this passive infrared sensor method. This method can detect thieves or people moving in the area of the house where CCTV is installed, by detecting human objects using IR filters. If it detects an object that has the minimum temperature possessed by humans, it will immediately direct the alarm indicator. With the existence of CCTV that applies AI, it is hoped that human life will be safe, and crime will be reduced in an area, especially quiet areas with high crime rates. The application of Passive Infrared Sensor (PIR Sensor) in this anti-theft CCTV tool can detect and be able to work with a high level of accuracy.
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D. Seckiner, X. Mallett, C. Roux, D. Meuwly, and P. Maynard, “Forensic image analysis – CCTV distortion and artefacts,” Forensic Sci. Int., vol. 285, pp. 77–85, 2018, doi: 10.1016/j.forsciint.2018.01.024.
J. Hentati-Sundberg et al., “Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research,” Remote Sens. Ecol. Conserv., pp. 1–13, 2023, doi: 10.1002/rse2.329.
S. Pandya et al., “Smart home anti-theft system: A novel approach for near real-time monitoring and smart home security for wellness protocol,” Appl. Syst. Innov., vol. 1, no. 4, pp. 1–22, 2018, doi: 10.3390/asi1040042.
K. V. Baoyan, “CLOSED CIRCUIT TELEVISION . Its Contribution in Crime Clearance,” no. June, 2023, doi: 10.13140/RG.2.2.30275.37928.
A. Mubarok, I. Sofyan, A. A. Rismayadi, and I. Najiyah, “Sistem Keamanan Rumah Menggunakan RFID, Sensor PIR dan Modul GSM Berbasis Mikrokontroler,” J. Inform., vol. 5, no. 1, pp. 137–144, 2018, doi: 10.31311/ji.v5i1.2734.
C. Laksana et al., “Sistem Keamanan Ksatrian Dengan Sensor Pir,” Snatif, pp. 259–266, 2017.
A. S. Sinaga, A. Kadir, and S. Mardiana, “Peranan Motivasi Kerja dalam Kinerja Pegawai pada Kantor Kecamatan Tanjungbalai Utara Kota Tanjung Balai The Role of Work Motivation in Employee Performance at the North Tanjungbalai District Office of Tanjung Balai City,” J. Ilm. Magister Adm. Publik, vol. 2, no. 1, pp. 89–97, 2020, [Online]. Available: http://jurnalmahasiswa.uma.ac.id/index.php/strukturasi.
J. R. Agustina and G. Galdon Clavell, “The impact of CCTV on fundamental rights and crime prevention strategies: The case of the Control commission of video surveillance devices,” Comput. Law Secur. Rev., vol. 27, no. 2, pp. 168–174, 2011, doi: 10.1016/j.clsr.2011.01.006.
J. Waworundeng, L. Doni, and C. Alan, “Implementation of PIR Sensor as Motion Detector for Home Security System using IoT Platform,” Cogiti Smart Joournal, vol. 3, no. 2, pp. 152–263, 2017.