Title :
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
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;
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
DOI :
10.1109/EMEIT.2011.6023180
