Diseño e implementación de un Prototipo para un Sistema de despaletización de cajas con clasificación por color utilizando visión artificial y Cloud data transfer

Abstract

The implementation of this project lies in demonstrating an automated prototype on an industrial process of a system for depalletizing boxes with color classification using artificial vision, a 6DOF robotic arm for the classification of color boxes and registering the count of the boxes to the cloud by Firebase. The prototype consists of carrying out the process autonomously, having several mechanisms already programmed with embedded systems; To be precise, the process starts from the control panel, additionally from a LabVIEW graphical interface it will be possible to observe the acquisition of recognition data and the counting of the color boxes. Once the Start button is pressed, the mechanisms start depalletizing the boxes and pushing them towards a conveyor belt to subsequently do the image processing with a Full HD Webcam at that point of the belt, which was carried out in the LabVIEW software, therefore , when detecting the color of the box, it makes the respective record of the count of the box, uploading the data to the cloud, so that later, in the end, the LeArm commercial robotic arm with a 6DOF structural design can do the color classification, the robotic arm It moves flexibly, so you can grab items in any direction and sort the box into its respective bin.