Deteksi Gerak Menggunakan Kamera Pada Raspberry Pi Dengan Penyimpanan Data Cloud Storage
Abstract
incident. Continuous monitoring would cost media storage, because recorded video will has big size. One
way to overcome this problem is to build a system using a webcam to record necessary moment. For
instance is when there was a movement in a moment/event. Therefore, a monitoring system that can
detect any movement in a room is needed. In this study, the problem can be solved by designing
monitoring system based Raspberry Pi. This monitoring system is created using Motion program. Motion
program handles motion detection and stream captured by camera, otherwise the system can also send a
notification when motion is detected via e-mail and upload recorded video to DropBox. In Testing process
is with different lighting conditions and distance, the system has worked 100% in bright light. In the dim
light at distance of 4 meters has 95% success rate and 83.3% at a distance of 6 meters, and in the dark
without light illumination has 0% success rate. Motion detection process is strongly influenced by light
intensity in the room.
Keywords: DropBox, Motion Detection , Motion, Raspberry Pi, Webcam
Full Text:
PDFReferences
D. E. Ismail, “The White Collar Crime (Suatu Tinjauan Kriminologis),” J. Inov., vol. 9, no. 2, pp. 1–6, 2012.
V. M. Manurung, “Tinjauan Yuridis Penjatuhan Pidana Mati Terhadap Pelaku Kejahatan Yang
Menderita Dissosiative Identity Disorded (DID),” Universitas Atma Jaya Yogyakarta, 2014.
J. Lestari and G. Gata, “Webcam monitoring ruangan menggunakan sensor gerak PIR (Passive
Infra Red),” Universitas Budi Luhur, 2011.
A. Febriyanto, “Analisis Kinerja Metode Background Substraction dan Haar-Like Feature untuk
Monitoring Pejalan Kaki Menggunakan Kamera Webcam,” Universitas Islam Negeri Sunan
Kalijaga, 2013.
D. P. Handayani, “Penerapan Metode Frame Differences untuk Sistem Keamanan Laboratorium
Menggunakan IP Camera,” Politeknik Caltex Riau, 2014.
M. I. Bustami, A. Siswanto, Irawan, A. N. Toscany, M. F. Ramdhani, and C. Saputra, “Mendeteksi
Bentuk dan Warna Bola pada Robot Humanoid Soccer dengan Menggunakan Raspberry Pi,”
STIKOM Dinamika Bangsa Jambi, 2013.
T. R. Perkasa, H. Widyantara, and P. Susanto, “Rancang Bangun Pendeteksi Gerak
Menggunakan Metode Image Subtraction pada Single Board Computer (SBC),” STIMIK STIKOM
Surabaya, 2014.
Refbacks
- There are currently no refbacks.
FAKULTAS SAINS DAN TEKNOLOGI
UIN SUSKA RIAU
Kampus Raja Ali Haji
Gedung Fakultas Sains & Teknologi UIN Suska Riau
Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Email: sntiki@uin-suska.ac.id