Work

Comparative Analysis of 2D and 3D Visual Inspection Techniques for Precision Quality Assessment in Coffee Capsules

Year: 2025

Type: conference-paper

Abstract: This paper explores the integration of Artificial Intelligence (AI) in Non-Destructive Inspection (NDI) systems, focusing on the context of the Horizon Europe project Zero Defects Zero Waste (ZDZW). The study conducts a thorough comparison between 2D and 3D computer vision techniques to evaluate their effectiveness in enhancing the quality analysis of coffee capsules. Through practical insights gained from the ZDZW project, this work aims to illuminate the strengths and trade-offs associated with each technique, providing valuable guidance for the design and implementation of AI-based solutions in NDI systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17076788

Authors: Garrigues Carbó, Pau, Fabrizioli, Mauro, Perez Soler, Javier, Sanchis Hernández, Miguel, Liani, Alessandro, Perez-Cortes, Juan-Carlos

Institutions: Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC), Universitat Politècnica de València

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing