Paper
4 May 2007 Real-time air quality monitoring by using internet video surveillance camera
C. J. Wong, H. S. Lim, M. Z. MatJafri, K. Abdullah, K. L. Low
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. J. Wong, H. S. Lim, M. Z. MatJafri, K. Abdullah, and K. L. Low "Real-time air quality monitoring by using internet video surveillance camera", Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65381Q (4 May 2007); https://doi.org/10.1117/12.719137
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
IP cameras

Cameras

Internet

Video surveillance

Reflectivity

Algorithm development

Image compression

Back to Top