基于视觉技术的物流分拣机器人自动定位系统设计

Design of automatic positioning system for logistics sorting robot based on vision technology

为了有效定位物流机器人分拣目标,保障机器人分拣工作安全可靠进行,设计基于视觉的物流分拣机器人自动定位系统。数据感知层使用STM32的图像采集技术采集机器人分拣目标的图像数据,OpenCV视觉处理技术预处理后,通过网络传输层发送到扩容存储层。目标识别定位层使用Canny算子进行边缘检测,执行连通域标记,构建机器人定位模型。实验结果表明:该系统获取到的定位结果与实际位置信息基本一致,可为机器人物流分拣工作提供定位依据。

In order to effectively locate the sorting target of the logistics robot and ensure the safe and reliable job security of the robot sorting,an automatic positioning system of the logistics sorting robot based on vision is designed.The data perception layer uses STM32's image acquisition technology to collect image data of robot sorting targets.After preprocessing with OpenCV visual processing technology,it is sent to the expanded storage layer through the network transmission layer.The target recognition and localization lay-er uses the Canny operator for edge detection,performs connected domain labeling,and constructs a robot localization model.The ex-perimental results show that the positioning results obtained by the system are basically consistent with the actual position information,and can provide a positioning basis for robot logistics sorting work.