基于STM32的智能物流小车设计
Design of Intelligent Logistics Car Based on STM32
吴润强 1杨祎晨 2王硕阳 2刘禹明 2李欣迪 2邓兴启 3孙科学4
作者信息
- 1. 南京邮电大学 工程实验教学部,江苏 南京 210023
- 2. 南京邮电大学 电子与光学工程学院、柔性电子(未来技术)学院,江苏 南京 210023
- 3. 南京市兴来科技有限公司,江苏 南京 210019
- 4. 南京邮电大学 工程实验教学部,江苏 南京 210023;南京邮电大学 电子与光学工程学院、柔性电子(未来技术)学院,江苏 南京 210023
- 折叠
摘要
智能物流小车作为现代运输系统的重要组成部分,凭借其高效、精确的操作特性,正逐步改变传统物流模式.本文设计了一种基于深度学习算法的嵌入式智能物流小车,该方案利用K210 视觉处理模块与深度学习算法相结合,通过控制机械臂最终实现物体的识别、抓取以及高效的搬运,具有低成本、低能耗、高精确度等优点,对现代智能物流行业的发展具有一定的研究价值.
Abstract
As an important part of modern transportation system,intelligent logistics car is gradually changing the traditional logistics mode by virtue of its efficient and accurate operation characteristics.In this study,an intelligent logistics vehicle design scheme based on STM32 is proposed.K210 vision processing module is combined with deep learning algorithm to realize the identification,grasping and efficient handling of objects by controlling the robot arm,which has the advantages of low cost,low energy consumption and high accuracy,and has certain research value for the development of modern intelligent logistics industry.
关键词
物流小车/stm32/视觉模块Key words
logistics car/stm32/vision module引用本文复制引用
出版年
2025
NETL
NSTL
万方数据