Real-time Human Detecting System Design for Intelligent Air-conditioning Control

Nan Wang, Harutoshi Ogai, Haitao Xiao, Duan Zhou

研究成果: Conference contribution

抄録

In this paper, we select K60 as the core of the system and OV7620 as the camera sensor, designing a real-time character detecting node for the intelligent control of air conditioning. Also, we use NRF24L01 as the radio frequency module, finally composing these nodes of the whole system by WSN(wireless sense network). Meanwhile, considering the storage and computing speed of embedded system, we apply OTSU dynamic binarization algorithm and SOBEL operators to make image processing of the acquired images by OV7620, and propose a human detecting algorithm based on frame difference method. The final experiment shows that the system can detect if someone comes or leaves in the detecting area with the range 2 meters, and sends the result to control center. Finally, we also show the experimental results of different detecting distance and make a short conclusion.

本文言語English
ホスト出版物のタイトルProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
編集者Oscar Castillo, Craig Douglas, S. I. Ao, David Dagan Feng, A. M. Korsunsky
出版社Newswood Limited
ページ271-275
ページ数5
ISBN(電子版)9789881404732
出版ステータスPublished - 2017 1 1
イベント2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
継続期間: 2017 3 152017 3 17

出版物シリーズ

名前Lecture Notes in Engineering and Computer Science
2227
ISSN(印刷版)2078-0958

Other

Other2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017
CountryHong Kong
CityHong Kong
Period17/3/1517/3/17

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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