基于FPGA与OpenMV的粮仓虫害监测系统

Rice Pest Identification System Based on FPGA and OpenMV

针对传统人工定点检测效率低下和效果较差的问题,设计了一种基于现场可编程阵列(Field Programmable Gate Array,FPGA)和OpenMV的粮仓虫害监测系统。系统采用神经网络算法,搭建FPGA的采集系统,简述其工作原理和具体实施步骤。FPGA控制部分运用OV5650图像采集模块、I2C数据传输模块、寄存器模块、图像预处理模块以及薄膜晶体管(Thin Film Transistor,TFT)显示屏显示模块。OpenMV运用了图像分析模块和I2C数据传输模块。利用神经网络算法和图像预处理模块,使该系统能够处理采集信息,并且能够计算分析图像信息,具有体积小、精确度高、清晰度高、小型化以及实时监控的特点,可满足工业需求。

In order to solve the problem of low efficiency and poor effect of traditional artificial fixed-point detection,a granary pest monitoring system based on Field Programmable Gate Array(FPGA)and OpenMV was designed.The system uses the neural network algorithm,builds the FPGA acquisition system,briefly describes its working principle and the concrete implementation steps.In FPGA control part,OV5650 image acquisition module,I2C data transmission module,register module,image preprocessing module and Thin Film Transistor(TFT)display module are used.OpenMV uses an image analysis module and an I2C data transfer module.Using neural network algorithm and image preprocessing module,the system can process and collect information,and can calculate and analyze image information,the utility model has the advantages of small size,high accuracy,