Design of product sorting robot based on deep learning
With the arrival of the era of artificial intelligence,intelligent robots are widely used in various fields,among which sorting robots are the most widely used,due to their efficient and rapid completion of the sorting work in modern production and life,so they are found in industrial production and environmental science and other fields.By analyzing the problems of sorting work in the courier industry,the strategy of sorting work with sorting robots is proposed,the CNN neural network model is established using the Tensorflow framework,the Keras-YOLOV3 algorithm is used to realize the categorization of the objects and to generate the anchor frames with the classification as well as the confidence level,and the product sorting robot based on deep learning is designed to realize the classification of the parts of the factory line and the recognition of the parts of the factory line through the camera.The deep learning based product sorting robot is designed to classify the parts of the factory assembly line and to recognize the production parts of the fac-tory assembly line through the camera and to complete the parts sorting work by using the robotic arm.
Robotic arm sortingRobotKeras-YOLO3 algorithmDeep learning
国家科技期刊平台
NSTL
万方数据
维普
