In this thesis, we propose a method to recognize vehicle's model corresponding makers by informations and images for moving vehicles. And also we design and implement controller board and FPGA of video camera in order to advance performance of vehicle's model recognition. Our recognition systems are composed of digital camera, Input/Output board for adaptive camera control, image acquisition grabber, light, server PC, and various sensor. By computer simulation with experiment and real images, the proposed method shows high recognition rate for moving vehicle's models because of image acquisition by 2-D CCD and various image processing algorithms.