Embedded forest fire monitoring and positioning system based on machine vision

Author

Liu Longshen ; Shen Mingxia ; Zhao Xianlin ; Sun Yuwen ; Lu Mingzhou ; Xiong Yingjun

Author_Institution

Coll. of Eng., Nanjing Agric. Univ., Nanjing, China

Volume

2

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

631

Lastpage

635

Abstract

According to the bulky, high cost and interfered seriously of present forest fire monitoring system, the embedded forest fire monitoring and positioning system is designed based on machine vision. The system consists of four parts: embedded forest fire detection, 3G wireless communication, positioning system and held terminal. Forest fire recognition and positioning algorithm are studied based on FPGA and DSP, and 3G wireless communication is achieved. The results show that the system can overcome a variety of interference and has low false alarm rate, high real time, low power consumption. This system has good operation effect through the test in Inner Mongolia and the positioning error is less than ten meters.

Keywords

3G mobile communication; computer vision; computerised monitoring; disasters; fires; forestry; geophysical image processing; geophysical techniques; 3G wireless communication; DSP; FPGA; embedded forest fire detection; embedded forest fire monitoring system; false alarm rate; forest fire recognition; machine vision; positioning algorithm; positioning error; positioning system; Digital signal processing; Field programmable gate arrays; Fires; Monitoring; Sockets; Wavelet transforms; Wireless communication; 3G; DSP; Embedded Forest Fire Monitoring; FPGA; Forest Fire Positioning; Machine Vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023180

Filename

6023180