现代计算机2024,Vol.30Issue(21) :217-221,227.DOI:10.3969/j.issn.1007-1423.2024.21.041

基于深度学习的机械臂小家电开关装配分拣系统设计

Design of mechanical arm switch assembly sorting system for small household appliances based on deep learning

连圣阳 方武 陈洋 落莉莉
现代计算机2024,Vol.30Issue(21) :217-221,227.DOI:10.3969/j.issn.1007-1423.2024.21.041

基于深度学习的机械臂小家电开关装配分拣系统设计

Design of mechanical arm switch assembly sorting system for small household appliances based on deep learning

连圣阳 1方武 1陈洋 1落莉莉1
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作者信息

  • 1. 苏州经贸职业技术学院信息技术学院,苏州 215009
  • 折叠

摘要

设计了一种基于深度学习的机械臂小家电开关装配分拣系统.该系统通过集成深度学习算法,赋予机械臂自主识别、学习及决策的能力,旨在实现开关装配与分拣任务的高效、精准执行.深入阐述了该系统的整体架构、具体工作原理,以及深度学习算法的选择与实现细节.实验验证显示,该分拣系统展现出了较高的识别准确率、显著的分拣效率以及优异的实时性能.

Abstract

A robotic arm-based small household appliance switch assembly and sorting system leveraging deep learning was designed.By integrating deep learning algorithms,the system endows the robotic arm with the capabilities of autonomous recogni-tion,learning,and decision-making,aiming to achieve efficient and precise execution of switch assembly and sorting tasks.The re-search delves into the overall architecture,specific working principles of the system,as well as the selection and implementation de-tails of the deep learning algorithms.Experimental validation demonstrates that this sorting system exhibits high recognition accu-racy,remarkable sorting efficiency,and superior real-time performance.

关键词

深度学习/机器视觉/机械臂/开关装配分拣

Key words

deep learning/machine vision/manipulator/switch assembly sorting

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出版年

2024
现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
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