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Embedded Real-Time Video Surveillance System based on Multi-Sensor and Visual Tracking |
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PP: 345-359 |
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doi:10.18576/amis/120209
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Author(s) |
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Laith M. Fawzi,
Sideeq Y. Ameen,
Salih M. Alqaraawi,
Shefa A Dawwd,
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Abstract |
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| This Paper describes the design and implementation of an embedded remote video surveillance system for general purposes
security application. The proposed system is able to detect and report vandalism, tampering, and theft activities before they take
place via SMS, Email or by a phone call. The system has been enriched with a vast range of sensors to increase its sensing capability of
different types of attacks.Moreover, the proposed system has been enhanced by adding a visual verification technique to overcome false
alarms generated by sensors, where a video camera is integrated within the system software to capture video footage, verify, and track
the abnormal events taking into consideration bandwidth consumption and real-time processing. Finally, the system was implemented
using SBC (Raspberry Pi) as a working platform supported by OpenCV and Python as a programming language. The results proved
that the proposed system can achieve monitoring and reporting in real-time. Where the average processing time specified to complete
all the required tasks for each frame (starting from video source to broadcasting stage) does not exceed 64%. Moreover, the proposed
system achieved a reduction in the utilized data size as a result of using image processing algorithms, reaching an average of 91%,
which decreased the amount of transferred data to an average of 13.4 Mbit/sec and increased the bandwidth efficiency to an average of
92%. Finally, this system is characterized by being flexible, portable, easy to install, expandable and cost-effective. Therefore, it can be
considered as an efficient technology for different monitoring purposes. |
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