
Proceedings Paper
Real-time air quality monitoring by using internet video surveillance cameraFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Nowadays internet video surveillance cameras are widely use in security monitoring. The quantities of
installations of these cameras also become more and more. This paper reports that the internet video
surveillance cameras can be applied as a remote sensor for monitoring the concentrations of particulate
matter less than 10 micron (PM10), so that real time air quality can be monitored at multi location
simultaneously. An algorithm was developed based on the regression analysis of relationship between the
measured reflectance components from a surface material and the atmosphere. This algorithm converts
multispectral image pixel values acquired from these cameras into quantitative values of the
concentrations of PM10. These computed PM10 values were compared to other standard values measured
by a DustTrakTM meter. The correlation results showed that the newly develop algorithm produced a high
degree of accuracy as indicated by high correlation coefficient (R2) and low root-mean-square-error
(RMS) values. The preliminary results showed that the accuracy produced by this internet video
surveillance camera is slightly better than that from the internet protocol (IP) camera. Basically the spatial
resolution of images acquired by the IP camera was poorer compared to the internet video surveillance
camera. This is because the images acquired by IP camera had been compressed and there was no
compression for the images from the internet video surveillance camera.
Paper Details
Date Published: 4 May 2007
PDF: 12 pages
Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65381Q (4 May 2007); doi: 10.1117/12.719137
Published in SPIE Proceedings Vol. 6538:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI
Edward M. Carapezza, Editor(s)
PDF: 12 pages
Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65381Q (4 May 2007); doi: 10.1117/12.719137
Show Author Affiliations
C. J. Wong, Univ. Sains Malaysia (Malaysia)
H. S. Lim, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
H. S. Lim, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
K. L. Low, Univ. Sains Malaysia (Malaysia)
K. L. Low, Univ. Sains Malaysia (Malaysia)
Published in SPIE Proceedings Vol. 6538:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI
Edward M. Carapezza, Editor(s)
© SPIE. Terms of Use
