Estimating particulate matter using COTS cameras

Hsin Hung Hsieh, Hu Cheng Lee, Wen Liang Hwang, Ling-Jyh Chen

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Particulate pollution has become increasingly critical and threatening for human health. Although a number of approaches have been attempted for particulate pollution monitoring, these approaches are either expensive, unscalable, or requiring deployment of yet-another sensing infrastructure. In this study, by combining the advanced image dehazing and support vector machine techniques, we propose a novel particulate matter sensing approach using commercially off-the-shelf cameras. Using a Raspberry Pi-based testbed, we conducted a half-year measurement and conduct a comprehensive analysis of our approach. We show that our approach is effective, and the 80%-th estimation error is below 20 and 30 μg/m3 for PM2.5 and PM10 estimation, respectively. Moreover, the proposed approach can be easily applied to the existing camera surveillance infrastructure, as long as the photos contain both long-range and near-view objects.

原文英語
主出版物標題2015 IEEE SENSORS - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781479982028
DOIs
出版狀態已發佈 - 2015 十二月 31
事件14th IEEE SENSORS - Busan, 大韓民國
持續時間: 2015 十一月 12015 十一月 4

出版系列

名字2015 IEEE SENSORS - Proceedings

其他

其他14th IEEE SENSORS
國家大韓民國
城市Busan
期間2015/11/012015/11/04

ASJC Scopus subject areas

  • Instrumentation
  • Electronic, Optical and Magnetic Materials
  • Spectroscopy
  • Electrical and Electronic Engineering

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