Supervisor: Gian Antonio Susto
Creation Date: 05/10/2025 15:47
The goal of this thesis is to develop a computer vision system capable of recognizing and measuring objects within an industrial workstation, providing real-time or near-real-time information about their position and orientation.
The project is carried out in collaboration with Breton Digitization of Dimensioned Hand-Drawn Sketches.p.A., a leading company in advanced automation technologies and machining systems for stone, metal, and composite materials.
The proposed system employs a high-resolution camera mounted in a fixed position to cover a large working area. Through advanced image processing, photogrammetry, and subpixel measurement techniques, the system aims to estimate the spatial coordinates and orientation of components with high accuracy, while accounting for variations in object height.
Dataset type: Already acquired data
Dataset description: The dataset used in this project was acquired using a high-resolution industrial camera installed above the workstation. The imaging system covers a large working area, representative of a real Breton production cell.
List of Methods: Computer Vision, Deep Learning
Machine Learning, Deep Learning