A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing

Zijian Du; Francis Tsow; Di Wang; Nongjian Tao

doi:10.1109/JSEN.2018.2861700

A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing

Zijian Du, Francis Tsow, Di Wang, Nongjian Tao

Research output: Contribution to journal › Article

Abstract

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.

Original language	English (US)
Article number	8423622
Pages (from-to)	7421-7428
Number of pages	8
Journal	IEEE Sensors Journal
Volume	18
Issue number	18
DOIs	https://doi.org/10.1109/JSEN.2018.2861700
State	Published - Sep 15 2018

Keywords

CMOS imager
electrostatic particle collector
environmental sensors
image processing algorithm
Particulate matter sensing

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/JSEN.2018.2861700

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Du, Z., Tsow, F., Wang, D., & Tao, N. (2018). A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing. IEEE Sensors Journal, 18(18), 7421-7428. [8423622]. https://doi.org/10.1109/JSEN.2018.2861700

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