Chocolate Detection in Shopping Mall & Forward Data Through Cloud Computing by Humonoid Robot Using YOLOV8 with TENSORFLOW

Abstract

Selection of chocolates or any other grocesseries in shopping mall is difficult to manupulate. Many errors or misconceptions of detect and sorting process of required item make it hard to select desirable item.There are many issues create to handle this whole process due to up and down of any labels to recognize and overlap in a tray of packaging due to timing issue or speed . In this situation,YOLOV8 model to make it possible to create labels to each item to detect and make a class of each group so that it can easily processed .The humanoid robot used to pick and draw a selected chocolate.Robotics have a sensor and cameras in which image segment of each group is saved and when we select a required chocolate from specific row,it will compare to saved one to confirm a class.an then passs to tray for packed and program a cost that is sense by item and processed to machine.One instruction gain by humanoid robot from user to select a chocolate and one instruction is used to monitor a situation and generate a voucher for payment.ROBOFLOW platform is used to deploy the training Machine learning algorithm is used for process and datasets using cloud computing. The instruction from user will be gained by voice control blue tooth module application which is connected through Arduino to the robotics.