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 › peer-review

1 Scopus citations

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
Particulate matter sensing
electrostatic particle collector
environmental sensors
image processing algorithm

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/JSEN.2018.2861700

Fingerprint Dive into the research topics of 'A Miniaturized Particulate Matter Sensing Platform Based on CMOS Imager and Real-Time Image Processing'. Together they form a unique fingerprint.

Cite this

@article{81f79d0a215d465fa9b33270724ae478,

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

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.",

keywords = "CMOS imager, Particulate matter sensing, electrostatic particle collector, environmental sensors, image processing algorithm",

author = "Zijian Du and Francis Tsow and Di Wang and Nongjian Tao",

year = "2018",

month = sep,

day = "15",

doi = "10.1109/JSEN.2018.2861700",

language = "English (US)",

volume = "18",

pages = "7421--7428",

journal = "IEEE Sensors Journal",

issn = "1530-437X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "18",

}

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

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

UR - http://www.scopus.com/inward/record.url?scp=85050959286&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050959286&partnerID=8YFLogxK

U2 - 10.1109/JSEN.2018.2861700

DO - 10.1109/JSEN.2018.2861700

M3 - Article

AN - SCOPUS:85050959286

VL - 18

SP - 7421

EP - 7428

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

SN - 1530-437X

IS - 18

M1 - 8423622

ER -