基于8位通信的毒蛇机器人计算机视觉低成本目标跟踪

Leonel Alejandro Cruz Sandoval
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引用次数: 0

摘要

计算机视觉系统已经成为多个工程领域的研究领域。视觉系统在机器人领域得到了很大的研究,因为它对更好地自动化过程非常感兴趣。为了提高机器人的物体处理能力,已经创建了许多感知系统。本文试图创建一个能够以经济有效的方式检测物体并与机器人通信的计算机视觉系统。为了实现项目的开发,采用了增量方法,第一个增量是目标检测算法,第二个增量是通信系统,第三个增量是目标分类库的实现。在这个项目中,使用对象分割工具和神经网络来创建一个智能对象分类系统。这个项目的成本比市场上其他的解决方案要低。尽管成本差异很大,但没有进行运动检测测试,该测试将作为项目的第二阶段进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Cost Object Tracking by Computer Vision Using 8 Bits Communication with a Viper Robot
Computer vision systems have been an area of study for multiple areas of engineering. Vision systems have been studied greatly in the area of robotics, as it is of great interest to better automate processes. Many perception systems have been created to improve object handling capabilities for robots. This article seeks to create a computer vision system capable of detecting objects and communicating with a robot in a cost-effective way. To achieve the development of the project the incremental methodology is used, having as first increment the object detection algorithm, the second increment the communication system and the third increment the implementation of an object classification library. In this project, object segmentation tools and neural networks are used to create an intelligent object classification system. The cost for this project are lower than others solution from the market. Although the costs show notorious differences, no motion detection tests were performed, which will be done as a second phase of the project.
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