Citation

Tan, Teng Teng and Lim, Tien Sze and Ong, Lee Yeng (2016) Abnormal sound analytical surveillance system using microcontroller. In: 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, pp. 162-166. ISBN 978-1-4673-8780-4

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Abstract

Analytical surveillance can perform the surveillance tasks much more efficient comparing to operator manual monitoring. This had made it getting increased market's interest in recent years. Commonly, closed circuit television (CCTV) is used for security surveillance. However, CCTVs are purely vision output. These silent videos may not provide complete picture of the happening. Sound detection is incorporate into vision surveillance for enhancement. Sound detection is able to detect abnormal sound although happen at camera blind spots or due to intentional blocking. In this paper, we propose to use microcontroller embedded system to enhance current CCTV system. Proposed abnormal sound embedded system is to carry out the sound detection, audio processing and analysis. This study is using only single microphone for sound detection. Audio amplitude and frequency range are targeted feature extracted from Fast Fourier Transform (FFT). Abnormal sound of human screaming and glass breaking were classified using decision tree. From experiment, proposed abnormal sound analytical surveillance system test yield average of 88% accuracy detection. We can consider our work is simple and cost effective for field implementation.

Item Type:	Book Section
Uncontrolled Keywords:	Surveillance, Microcontrollers, Frequency-domain analysis, Embedded systems, Microphones, Glass, Speech
Subjects:	T Technology > TJ Mechanical Engineering and Machinery > TJ212-225 Control engineering systems. Automatic machinery (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	07 Feb 2018 12:12
Last Modified:	07 Feb 2018 12:12
URII:	http://shdl.mmu.edu.my/id/eprint/6668

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