Hardware And Software Co-design And Application Of Intelligent Video Analyzer For Smart Forestry

With the rapid rise of the Internet of Things technology,smart forestry,a new model of forestry development,is gradually established.The goal of smart forestry is to better monitor and manage forestry and realize the monitoring of forest areas.For complex forest environments,real-time monitoring and early warning of forest areas has become a top priority.But now the traditional forest video surveillance equipment can only play the role of video recording,which can’t perform real-time monitoring and intelligent analysis of human activities in forest areas.The occurrence of most forest problems is related to human activities.It is of great significance to monitor the people in the forest in real time and realize intelligent analysis and extraction of the related characteristic information of people.Faced with complex forest environments and the problems of difficult data processing,poor real-time performance,and single function of traditional video surveillance equipment,this paper designs an intelligent video analyzer with perfect function and suitable for forest environment real-time monitoring.The design of intelligent video analyzer combines hardware-software co-design method.First,it speeds up the development of the system,reduces the development time.Second,it saves the cost and improves the overall performance of the system.The intelligent video analyzer can monitor the distribution of personnel in the forest area in real time,intelligently obtain real-time information on the number of people,and personnel characteristic data and picture information,extract forest environmental data and image data,transmit the data to Lo Ra network equipment through a serial port communication,and upload to the platform for display and analysis.The platform can perform personnel search based on the characteristic data to realize the remote intelligent monitoring function.In addition,the intelligent video analyzer also has the function of voice broadcast to realize the early warning function of sudden danger scenarios in the forest environment.Based on the Zynq-7000 series programmable So C based on ARM + FPFA architecture as the main control chip,this paper studies the key technologies and the Internet of Things framework,and designs the overall structure of an intelligent video analyzer for smart forestry.First,the intelligent video analyzer completes the important IP cores design of the Frame Buffer channel of video streaming data and hardware system construction in hardware design,and completes the porting of the Linux operating system and driver through the BSP design on the software design.The application software completes the expanded business functions according to the business requirements,and the serial communication program implements the function of securely transmitting data to Lo Ra network equipment and finally uploading to the platform.The end of the paper is the overall test of the system,which is stable and reliable,and the intelligent video analyzer is applied to the Laoshan Mountain application scenario of forest fire prevention.It is verified through the platform data display that the intelligent video analyzer supports real-time access to a variety of personnel related intelligent video analysis data and can store and safely upload the result data,which prove the feasibility of the hardware system architecture and software system,and it has certain application value.