TY - JOUR
T1 - A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing
AU - Du, Zijian
AU - Tsow, Francis
AU - Wang, Di
AU - Tao, Nongjian
N1 - Funding Information:
Manuscript received November 29, 2017; revised July 26, 2018; accepted July 26, 2018. Date of publication July 31, 2018; date of current version August 22, 2018. This work was supported by NIH, center of NIBIB, under Award 1U01EB021980-01. The associate editor coordinating the review of this paper and approving it for publication was Prof. Jun Ohta. (Corresponding author: Francis Tsow.) Z. Du is with the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287 USA.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/15
Y1 - 2018/9/15
N2 - A miniaturized particulate matter (PM) sensing platform was developed. The platform uses a CMOS imager as sensor, electrostatic particle collector to collect ambient PM on an imaging substrate, and a laser diode as light source to scatter light from the particles. Image processing-based PM sensing algorithm was developed to obtain particle number, size, and size distribution in real time. The system is compact, power efficient, and low cost. The PM sensing platform is suitable for personal PM exposure monitoring with applications in environmental health, occupational, and epidemiological studies.
AB - A miniaturized particulate matter (PM) sensing platform was developed. The platform uses a CMOS imager as sensor, electrostatic particle collector to collect ambient PM on an imaging substrate, and a laser diode as light source to scatter light from the particles. Image processing-based PM sensing algorithm was developed to obtain particle number, size, and size distribution in real time. The system is compact, power efficient, and low cost. The PM sensing platform is suitable for personal PM exposure monitoring with applications in environmental health, occupational, and epidemiological studies.
KW - CMOS imager
KW - Particulate matter sensing
KW - electrostatic particle collector
KW - environmental sensors
KW - image processing algorithm
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U2 - 10.1109/JSEN.2018.2861700
DO - 10.1109/JSEN.2018.2861700
M3 - Article
AN - SCOPUS:85050959286
SN - 1530-437X
VL - 18
SP - 7421
EP - 7428
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 18
M1 - 8423622
ER -