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Real-time Mechanical Parking Equipment Image Acquisition and Preprocessing Based on FPGA

机译:基于FPGA的实时机械停车设备图像采集和预处理

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摘要

As mechanical parking equipment are developing to be complicated, intelligent and familial oriented. The real-time image acquisition and preprocessing of mechanical parking equipment based on CMOS camera and FPGA were proposed to improve the intelligent level and decrease the number of service personnel. The system is constituted by five parts, i.e., SCCB bus control module, image capture module, image storage module, image preprocessing module and VGA display control module. Using FPGA Cyclone II family chips as the core controller, The CMOS OV7670 image sensor initialization module, image acquisition and storage module, VGA interface protocols, VGA horizontal synchronization and field sync signal were designed using Verilog HDL. The grayscale processing and the fast median filtering algorithm were adopted to preprocess mechanical parking equipment image in FPGA. The experiment results shows that the image after preprocessing can real-time displayed by VGA, and also the system based on FPGA can design flexibility, portability strong, and it can achieve high-speed acquisition and high compatibility.
机译:由于机械停车设备正在开发复杂,智能和家庭的面向。基于CMOS相机和FPGA的基于CMOS相机和FPGA的机械停车设备的实时图像采集和预处理,提高了智能水平并降低了服务人员的数量。该系统由五个部分,即SCCB总线控制模块,图像捕获模块,图像存储模块,图像预处理模块和VGA显示控制模块构成。使用FPGA Cyclone II系列芯片作为核心控制器,使用Verilog HDL设计了CMOS OV7670图像传感器初始化模块,图像采集和存储模块,VGA接口协议,VGA水平同步和现场同步信号。采用灰度处理和快速中值滤波算法在FPGA中预处理机械停车设备图像。实验结果表明,预处理后的图像可以实时显示由VGA,并且还基于FPGA的系统可以设计灵活性,可移植性强,并且它可以实现高速采集和高相容性。

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