@inproceedings{0294ff51b905400a9b9f06357246505b,
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",
language = "英语",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "271--275",
editor = "Oscar Castillo and Craig Douglas and Ao, \{S. I.\} and Feng, \{David Dagan\} and Korsunsky, \{A. M.\}",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017",
note = "2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 ; Conference date: 15-03-2017 Through 17-03-2017",
}