摘要
随着科技水平的不断发展,机器代替人进行简单而繁琐的工作是发展趋势。综合考虑能够适用于各种不同场面的分类工作的潜力,本文设计了一种能够通过摄像头与机械臂对图像物品进行捕捉、抓取和分类的一体式智能交互机器人。
It is a trend that machines will take the place of people to do some simple and tedious work with the development of science and technology.Taking into account the potential of classification work that can be applied to a variety of different scenes,we design an integrated robot which can capture,grasp and classify objects by images through camera and robot arm.
作者
杨炅坤
黄景林
陈玥名
朱胤恺
罗宇昊
YANG Jiongkun;HUANG Jinglin;CHEN Yueming;ZHU Yinkai;LUO Yuhao(School of electrical and mechanical engineering,China Jiliang University,Hangzhou,China,310018)
出处
《福建电脑》
2021年第8期93-95,共3页
Journal of Fujian Computer
关键词
视觉跟踪
图像识别
物品分类
深度学习
YOLOv3
Visual Tracking
Image Recognition
Classification of Articles
Deep Learning
YOLOv3
