基于计算机视觉的机械臂分拣系统设计OA

Before launching different products,it is necessary to sort them to ensure that there are no defects and sell them at a better price.However,manual inspection is costly and requires a significant amount of labor and time,so many companies tend to use modern technology to implement product inspection processes.A method based on the association between robots and computer vision systems is proposed.A robotic arm with 4 degrees of freedom is designed using SolidWorks software.The robotic arm places cans onto a conveyor belt and then transfers them to the inspection room.The product image is captured by a camera connected to the computer,and processed by the LabVIEW program.The model is simulated using MATLAB,and Arduino microcontroller is used to control the process of prototype execution.When a defective product passes through the conveyor belt,the system will change the path and remove the product from the production line.The simulation and experimental results demonstrate that the prototype can grab cans and ultimately detect them,taking defective cans out of the production line,96%accuracy has been achieved.The use of the technology in the product sorting process will improve productivity and quality in a short period of time.