Abstract
Forest fire has always been an important hidden danger in forestry management. It is necessary to monitor and manage forest fire through video monitoring system. However, due to the lack of real-time performance of traditional video monitoring system and the difficulty in data processing, an embedded intelligent video analysis system is designed. The system uses a software and hardware design method based on Zynq SoC, first, each functional module of the hardware architecture is divided, then the system software is designed, and finally the system is evaluated as a whole. Based on the application requirements of forest fire prevention, this paper focuses on the detailed description of the underlying hardware architecture and operating system software design, and provides some value and reference for the application scenarios of forest fire prevention.
Cite
CITATION STYLE
Zhang, B., & Zhang, Z. (2020). Architecture of embedded intelligent video analysis system for forest fire prevention. In Journal of Physics: Conference Series (Vol. 1544). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1544/1/012052
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