基于机器视觉的物体分拣系统设计

Design of Object Sorting System Based on Machine Vision

为提升搬运机器人的智能化程度和可靠性,增强智能搬运机器人和视觉技术的结合能力,根据企业的生产需求,基于实验室的科研项目,实现将视觉技术、搬运机器人和无线控制网相结合,设计了一种智能搬运机器人的实验平台。使用STM32F103作为智能搬运机器人的核心控制板,利用视觉完成路径的识别和目标物体的识别,通过ZigBee无线通信技术实现上位机和主控制的通信,并在上位机中设计控制界面显示智能搬运机器人的运行状态。实验表明,智能搬运机器人能够完成路径和目标物的寻找、抓取和搬运功能,上位机界面能够实现对智能机器人的监控。

In order to improve the intelligence and reliability of the handling robot, and enhance the combination ability of the intelligent handling robot and the visual technology, according to the production needs of enterprises, based on the scientific research project of the laboratory, the visual technology, the handling robot and the wireless control network are combined, and an experimental platform for the intelligent handling robot is designed. STM32F103 is used as the core control board of the intelligent handling robot, and vision is used to complete the path recognition and target object recognition. Zig Bee wireless communication technology is used to achieve the communication between the upper computer and the main control, and a control interface is designed in the upper computer to display the operation state of the intelligent handling robot. The experiment shows that the intelligent carrying robot can complete the functions of searching, grasping and carrying paths and objects, and the upper computer interface can monitor the intelligent robot.