基于计算机图像的采摘机器人结构优化研究

随着果蔬种植规模的扩大,果蔬采摘作业的需求量也逐渐提高。传统的果蔬采摘作业存在自动化程度低、采摘对象识别困难、采摘破坏性大等问题,导致采摘作业的效果较差、作业效率低。为此,引入了计算机图像技术,在深入研究了计算机图像技术原理的基础上,分析了计算机图像技术的成像原理,完成了采摘机器人的机械结构设计,并对采摘机器人的硬件总体结构进行优化。同时,对计算机图像采集系统、图像采集模块及执行模块等进行设计,最后完成了采摘机器人的计算机图像信息处理流程设计,并对采摘机器人进行了仿真实验。结果表明:基于计算机图像的采摘机器人结构简单,采摘目标识别精度高,对采摘目标破坏性较小,具有较高的安全性和稳定性,具有较大的推广价值。

Research on Optimization of Picking Robot Structure Based on Computer Image

With the expansion of the scale of fruit and vegetable cultivation,the demand for fruit and vegetable picking operations has gradually increased.The traditional fruit and vegetable picking operations have problems of low automation,difficult identification of picking objects,and great destructive picking,resulting in poor picking operations and low efficiency.This article introduces computer image technology.Based on the in-depth study of computer image technology principles,the imaging principle of computer image technology is established,the mechanical structure design of the picking robot is completed,and the overall hardware structure of the picking robot is optimized.The hardware design of some modules such as computer image acquisition system,image acquisition module and execution module is carried out.Finally,the computer image information processing flow of the picking robot is completed,and the simulation experiment of the picking robot is carried out.Experiments show that the picking robot based on computer images has a simple structure,high picking target recognition accuracy,less damage to picking targets,higher safety and stability,and greater promotion value.