Detection, measurement, and segmentation of aluminum profiles

This project addresses the need for computerized inspection of aluminum profiles in a manufacturing cell. For inventory management, it is necessary to automate the classification and measurement of the aluminum profile. The manufacturing cell's proposed configuration strategically positions two cameras and implements a YOLOv8 convolutional neural network for precise and rapid part identification. An online database is implemented for accurate stock management.