主要讲解了车辆检测和车牌识别相关的理论知识，另外附上车辆检测的源码供参考-Mainly on theoretical knowledge of vehicle detection and license plate recognition, addition attach a vehicle detection source for reference

整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。 -The overall function: Automatic Vehicle tracking, detection, and photographed, locate, identify, but tracking and photographing equal to not implement.

基于opencv的车牌识别源码，使用了canny算法进行边缘检测，然后二值化，接着用cvFindContours搜索轮廓，最后从找到的轮廓中根据角点的个数，角的度数和轮廓大小确定，矩形位置。-Opencv-based license plate recognition source code, using the canny edge detection algorithm, and then two values, followed by cvFindContours search profi

基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry