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 languageEnglish (US)
Article number8423622
Pages (from-to)7421-7428
Number of pages8
JournalIEEE Sensors Journal
Volume18
Issue number18
DOIs
StatePublished - Sep 15 2018

Fingerprint

Image sensors
particulates
image processing
Light sources
Semiconductor lasers
Electrostatics
CMOS
Image processing
platforms
Health
Imaging techniques
Monitoring
Sensors
Substrates
Costs
accumulators
health
light sources
semiconductor lasers
electrostatics

Keywords

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

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing. / Du, Zijian; Tsow, Francis; Wang, Di; Tao, Nongjian.

In: IEEE Sensors Journal, Vol. 18, No. 18, 8423622, 15.09.2018, p. 7421-7428.

Research output: Contribution to journalArticle

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