Contactless Intelligent Fruit Selling Robot Based on Image Processing
As an important branch of the catering and retail industry,the concept of contactless services has been gradually introduced into fruit sales.The contactless fruit selling robot provides consumers with a safe,hygienic,and fast purchasing experience through automation.At the same time,it also brings more efficient sales methods and more convenient management methods to merchants.A system which has monocular RGB camera,LIDAR,load sensors,and an adaptive robotic arm is deigned.The OpenCV image processing algorithm and decision tree model are used to identify the type of fruit;the adaptive robotic arm is used to grasp and weigh the fruit;and the LIDAR and path planning algorithm are used to achieve path planning,navigation,and obstacle avoidance for the fruit vending robot.At the same time,for the actual application scenario of fruit shops,a QT ROS-based upper computer interface is designed to facilitate real-time monitoring of the operation status of the fruit vending robots and their remote management by merchants.The test results show that the system has the functions of order acquisition,fruit identification,robot path planning,robot arm grasping,weighing,order settlement.It realizes fully automatic sales without human intervention,and has an extensive application prospect.
OpenCVdecision tree modelrobotic arm weighingpath planningdynamic obstacle avoidance
万方数据
维普
