Dianzi Jishu Yingyong (May 2019)

Design of automobile exhaust detection system based on background difference

  • Xue Meng,
  • Yun Jianping,
  • Liang Hexi,
  • Ai Yong,
  • Zhou Linglin,
  • Qiu Zhaobing

DOI
https://doi.org/10.16157/j.issn.0258-7998.182836
Journal volume & issue
Vol. 45, no. 5
pp. 85 – 88

Abstract

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With the large-scale emission of automobile exhaust, in order to prevent pollution of the atmosphere, it is more and more important to detect the exhaust gas. In order to automatically detect the blackness of automobile exhaust, this paper designs and implements a system for detecting Ringelmann number using image processing method for automobile exhaust. The Ringelmann number of automobile exhaust is obtained by photographing the automobile exhaust. At the same time, the detection result can be sent to the mobile phone APP through the 4G network, and the mobile terminal can also control the detection system to take photos, get analysis results and print the report. This research provides a feasible solution for vehicle exhaust blackness detection, which has certain practical significance.

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