Embedded Forest Fire Monitoring and Positioning System Based on Machine Vision
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 b less than ten meters.
Machine Vision Embedded Forest Fire Monitoring Forest Fire Positioning FPGA DSP 3G
Liu Longshen Shen Mingxia Zhao Xianlin Sun Yuwen Lu Mingzhou Xiong Yingjun
College of Engineering, Nanjing Agricultural University, Nanjing, 210031, China
国际会议
哈尔滨
英文
631-635
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）