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Proceedings Paper

Using webcam for indoor air quality monitoring
Author(s): C. J. Wong; C. K. Teo; M. Z. MatJafri; K. Abdullah; H. S. Lim
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Paper Abstract

Nowadays application of webcam becomes more and more popular. Thus webcams are being developed to have better resolution but lower cost. This has motivated us to evaluate the suitability of using webcam for indoor air quality monitoring. This monitoring involved determining the concentration of particulate matter with diameter less than 10 micron (PM10). An algorithm was developed to convert multispectral image pixel values acquired from this camera into quantitative values of the concentrations of PM10. This algorithm was developed based on the regression analysis of relationship between the measured reflectance and the reflected components from a surface material and the ambient air. The 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). This has showed that Webcam can be used for indoor air quality monitoring.

Paper Details

Date Published: 27 April 2009
PDF: 9 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 734110 (27 April 2009); doi: 10.1117/12.820329
Show Author Affiliations
C. J. Wong, Univ. Sains Malaysia (Malaysia)
C. K. Teo, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
H. S. Lim, Univ. Sains Malaysia (Malaysia)

Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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