广东东软学院本科毕业设计（论文） 基于树莓派平台的对特定物体识别系统的设计与实现Design and implementation of object recognition system based on raspberry PI platform内容摘要机器视觉是让计算机能够对图形数据产生智能化感知的一门学科，物体识别是机器视觉的基础，对一般物体识别的研究，不仅是理论还是实际都有着极其重要的意义。在理论中，物体识别是机器视觉的基础，在实际中，对于一般物体的识别对人们的生活会有很大的影响，物体识别能够应用到国防、智能交通、智能制造等邻域，它甚至能改变当前人们的生活。本文的物体识别是基于树莓派平台，通过使用 usb 摄像头来捕获外界信息，在树莓派上利用第三方库 opencv 对视频进行灰度以及高斯滤波处理，之后通过机器学习原理在 opencv 下训练出的分类器来对处理过后的视频信息进行分类识别，识别出我们选定的物体并计算出物体位于摄像头的大概方位，最后操作舵机，使舵机转动到摄像头正对着识别到的物体的位置。实验结果表明本系统基本能做到对物体的正确识别并使摄像头基本上始终正对着识别到的物体。广东东软学院本科毕业设计（论文）关键词:机器学习 分类器 舵机AbstractMachine vision is a subject that enables computers to generate intelligent perception of graphic data. Object recognition is the basis of machine vision. The study of general object recognition is of great significance not only in theory but also in practice.In theory, object recognition is the basis of machine vision. In practice, the recognition of general objects has a great impact on people's life. Object recognition can be applied to defense, intelligent transportation, intelligent manufacturing and other neighboring areas, and it can even change people's lives.It is one of the research hotspots of computer vision and has been widely used in and industrial Object recognition of this article is based on tree blackberry platform, through the use of usb camera to capture the outside information, using third-party libraries in raspberry pie opencv to 广东东软学院本科毕...
