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
PublisherNewswood Limited
Pages271-275
Number of pages5
Volume2227
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

Other

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

Fingerprint

Air conditioning
Systems analysis
Intelligent control
Embedded systems
Mathematical operators
Image processing
Cameras
Sensors
Experiments

Keywords

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

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Wang, N., Ogai, H., Xiao, H., & Zhou, D. (2017). Real-time Human Detecting System Design for Intelligent Air-conditioning Control. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 (Vol. 2227, pp. 271-275). Newswood Limited.

Real-time Human Detecting System Design for Intelligent Air-conditioning Control. / Wang, Nan; Ogai, Harutoshi; Xiao, Haitao; Zhou, Duan.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2227 Newswood Limited, 2017. p. 271-275.

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

Wang, N, Ogai, H, Xiao, H & Zhou, D 2017, Real-time Human Detecting System Design for Intelligent Air-conditioning Control. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. vol. 2227, Newswood Limited, pp. 271-275, 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017, Hong Kong, Hong Kong, 17/3/15.
Wang N, Ogai H, Xiao H, Zhou D. Real-time Human Detecting System Design for Intelligent Air-conditioning Control. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2227. Newswood Limited. 2017. p. 271-275
Wang, Nan ; Ogai, Harutoshi ; Xiao, Haitao ; Zhou, Duan. / Real-time Human Detecting System Design for Intelligent Air-conditioning Control. Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2227 Newswood Limited, 2017. pp. 271-275
@inproceedings{36af0f1adc3141b7b64de414d02206be,
title = "Real-time Human Detecting System Design for Intelligent Air-conditioning Control",
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.",
keywords = "Embedded system, Frame difference method, Human detecting, Image acquisition",
author = "Nan Wang and Harutoshi Ogai and Haitao Xiao and Duan Zhou",
year = "2017",
month = "1",
day = "1",
language = "English",
volume = "2227",
pages = "271--275",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017",
publisher = "Newswood Limited",

}

TY - GEN

T1 - Real-time Human Detecting System Design for Intelligent Air-conditioning Control

AU - Wang, Nan

AU - Ogai, Harutoshi

AU - Xiao, Haitao

AU - Zhou, Duan

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Embedded system

KW - Frame difference method

KW - Human detecting

KW - Image acquisition

UR - http://www.scopus.com/inward/record.url?scp=85042180903&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042180903&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85042180903

VL - 2227

SP - 271

EP - 275

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017

PB - Newswood Limited

ER -