Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer
Monitoring is the important thing for the security of an area. Based on the monitoring, the condition of the area, events, and objects can be observed. Monitoring of an area generally uses Closed Circuit Television (CCTV). But CCTV cameras only function as passive supervisor which are unable to dete...
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2019-03-01
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| Series: | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| Subjects: | |
| Online Access: | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/483 |
| _version_ | 1828392345357254656 |
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| author | Afandi Nur Aziz Thohari Rima Dias Ramadhani |
| author_facet | Afandi Nur Aziz Thohari Rima Dias Ramadhani |
| author_sort | Afandi Nur Aziz Thohari |
| collection | DOAJ |
| description | Monitoring is the important thing for the security of an area. Based on the monitoring, the condition of the area, events, and objects can be observed. Monitoring of an area generally uses Closed Circuit Television (CCTV). But CCTV cameras only function as passive supervisor which are unable to detect the appearance of objects. Therefore, the motion detection techniques need to be applied to detect the appearance of the objects. In this paper, a Gaussian blur and accumulative frame difference method was applied to detect the appearance of the objects. The method works by comparing the reference frame as a benchmark with the target frame which is filled by the objects. Based on the results of the test, the system is able to detect the objects that appear by raising a segmentation line on the objects. Then, the time of objects appearance will be recorded in a *.csv file and the system visualizes the appearance of the objects in time-series graphs. Objects appearance examination at a distance of 1 to 10 meters can work well during a bright conditions. However, in dark environments (less than 40 lux), the system has not been able to detect the appearance of an object because it depends on the specification of camera used by the users. Then, in testing the number of the objects, the system can detect multiple objects. However, if there are several objects that are too close, those objects will be merged as one object |
| first_indexed | 2024-12-10T07:18:13Z |
| format | Article |
| id | doaj.art-8bfa3e1d9928456cba000cdc8942d78d |
| institution | Directory Open Access Journal |
| issn | 2301-4156 2460-5719 |
| language | English |
| last_indexed | 2024-12-10T07:18:13Z |
| publishDate | 2019-03-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| spelling | doaj.art-8bfa3e1d9928456cba000cdc8942d78d2022-12-22T01:57:53ZengUniversitas Gadjah MadaJurnal Nasional Teknik Elektro dan Teknologi Informasi2301-41562460-57192019-03-018110.22146/jnteti.v8i1.483413Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board ComputerAfandi Nur Aziz Thohari0Rima Dias Ramadhani1Institut Teknologi Telkom PurwokertoInstitut Teknologi Telkom PurwokertoMonitoring is the important thing for the security of an area. Based on the monitoring, the condition of the area, events, and objects can be observed. Monitoring of an area generally uses Closed Circuit Television (CCTV). But CCTV cameras only function as passive supervisor which are unable to detect the appearance of objects. Therefore, the motion detection techniques need to be applied to detect the appearance of the objects. In this paper, a Gaussian blur and accumulative frame difference method was applied to detect the appearance of the objects. The method works by comparing the reference frame as a benchmark with the target frame which is filled by the objects. Based on the results of the test, the system is able to detect the objects that appear by raising a segmentation line on the objects. Then, the time of objects appearance will be recorded in a *.csv file and the system visualizes the appearance of the objects in time-series graphs. Objects appearance examination at a distance of 1 to 10 meters can work well during a bright conditions. However, in dark environments (less than 40 lux), the system has not been able to detect the appearance of an object because it depends on the specification of camera used by the users. Then, in testing the number of the objects, the system can detect multiple objects. However, if there are several objects that are too close, those objects will be merged as one objecthttp://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/483frame;deteksi;objek;pengawasan |
| spellingShingle | Afandi Nur Aziz Thohari Rima Dias Ramadhani Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer Jurnal Nasional Teknik Elektro dan Teknologi Informasi frame;deteksi;objek;pengawasan |
| title | Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer |
| title_full | Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer |
| title_fullStr | Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer |
| title_full_unstemmed | Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer |
| title_short | Sistem Pengawasan Berbasis Deteksi Gerak Menggunakan Single Board Computer |
| title_sort | sistem pengawasan berbasis deteksi gerak menggunakan single board computer |
| topic | frame;deteksi;objek;pengawasan |
| url | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/483 |
| work_keys_str_mv | AT afandinurazizthohari sistempengawasanberbasisdeteksigerakmenggunakansingleboardcomputer AT rimadiasramadhani sistempengawasanberbasisdeteksigerakmenggunakansingleboardcomputer |