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

Nan Wang, Harutoshi Ogai, Haitao Xiao, Duan Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
EditorsOscar Castillo, Craig Douglas, S. I. Ao, David Dagan Feng, A. M. Korsunsky
PublisherNewswood Limited
Pages271-275
Number of pages5
ISBN (Electronic)9789881404732
Publication statusPublished - 2017 Jan 1
Event2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
Duration: 2017 Mar 152017 Mar 17

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2227
ISSN (Print)2078-0958

Other

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

Keywords

  • Embedded system
  • Frame difference method
  • Human detecting
  • Image acquisition

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Fingerprint Dive into the research topics of 'Real-time Human Detecting System Design for Intelligent Air-conditioning Control'. Together they form a unique fingerprint.

  • Cite this

    Wang, N., Ogai, H., Xiao, H., & Zhou, D. (2017). Real-time Human Detecting System Design for Intelligent Air-conditioning Control. In O. Castillo, C. Douglas, S. I. Ao, D. D. Feng, & A. M. Korsunsky (Eds.), Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 (pp. 271-275). (Lecture Notes in Engineering and Computer Science; Vol. 2227). Newswood Limited.