Name
Abstract | ||
|---|---|---|
Nowadays, the Closed-Circuit Television (CCTV) surveillance system is being utilized in order to keep peace and provide security to people. There are several defects in the video surveillance system, such as: picture is indistinct, anomalies cannot be identified automatically, a lot of storage spaces are needed to save the surveillance information, and prices remain relatively high. This paper describes the design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment. In addition, the system uses the motion detection algorithm to significantly decrease storage usage and save investment costs. The algorithm for motion detection is being implemented on Raspberry Pi, which enables live streaming camera along with detection of motion. The live video camera can be viewed from any web browser, even from mobile in real-time. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICUFN.2015.7182665 | 2015 SEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS |
Keywords | Field | DocType |
Video surveillance, Raspberry Pi, Motion Detection, streaming | Motion detection,Computer science,Raspberry pi,Real-time computing,System monitoring,Real-time operating system,Single-board computer,Live streaming,Video camera,Python (programming language) | Conference |
Citations | PageRank | References |
3 | 0.46 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huu-Quoc Nguyen | 1 | 17 | 3.26 |
| ton thi kim loan | 2 | 3 | 0.46 |
| bui dinh mao | 3 | 3 | 0.46 |
| Eui-Nam Huh | 4 | 1036 | 113.46 |