Percorrer por autor "Capitanio, Iaggo"
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- Development of traceability solution for furniture componentsPublication . Capitanio, Iaggo; Coelho, João Paulo; Gonçalves, José; Ferreira, Luan Jose FranchiniIn the contemporary context, characterized by intensified global competition and the constant evolution of the globalization landscape, it becomes imperative for industries, including Small and Medium Enterprises (SMEs), to undertake efforts to enhance their operational processes, often through digital technological adaptation. The present study falls within the scope of the project named “Wood Work 4.0,” which aims to infuse innovation into the wood furniture manufacturing industry through process optimization and the adoption of digital technologies. This project received funding from the European Union Development Fund, in collaboration with the North 2020 Regional Program, and was carried out at the Carpintaria Mofreita company, located in Macedo de Cavaleiros, Portugal. In this regard, this study introduces a software architecture that supports the traceability of projects in the wood furniture industry and simultaneously employs a system to identify and manage material leftovers, aiming for more efficient waste management. For the development of this software architecture, an approach that integrates the Fiware platform, specialized in systems for the Internet of Things (IoT), with an Application Programming Interface (API) specifically created to manage information about users, projects, and associated media files, was adopted. The material leftovers identification system employs image processing techniques to extract geometric characteristics of the materials. Additionally, these data are integrated into the company’s database. In this way, it was possible to develop an architecture that allows not only the capturing of project information but also its effective management. In the case of material leftovers identification, the system was able to establish, with a satisfactory degree of accuracy, the dimensions of the materials, enabling the insertion of these data into the company’s database for resource management and optimization.
- Improving the traceability of wood-based sheet leftovers using computer visionPublication . Guedes, Nuno; Capitanio, Iaggo; Rosse, Higor; Coelho, João Paulo; Barbosa, José; Pires, Nélio; Magalhães, JoãoBeing able to provide traceability over raw material leftovers is fundamental to reducing waste, achieving leaner production processes, and promoting overall efficiency. Even if this makes sense to virtually all industries, in the low-volume, custom-production woodworking businesses, is of paramount importance if efficient integration of leftovers in the production process should take place. However, this is easier to say than done. This paper describes a methodology that is being devised to improve traceability for small and medium carpentry industries. This approach takes place within a broader R&D project and deals with the development of a storage rack that resorts to computer vision and machine learning to facilitate data gathering and digitization. Preliminary results regarding the computer vision methodology are provided.
- Pushing woodworking into the digitization age: the WW4.0 projectPublication . Capitanio, Iaggo; Coelho, João PauloStarting from the premise that technological advances in recent years have enabled the increase in industrial productivity then, industries that are more integrated into the technological environment tend to have more optimized and automated processes. Thus, they are able to offer more attractive prices to their customers, as well as greater control of their processes to make decisions that best fit the company’s market strategy. Currently, in the context of the small to the medium-sized furniture manufacturing industry, technological advances have brought an enormous contribution to the efficiency improvement of industrial-made products [1]. However, despite the extensive robotisation currently being felt in many of these industry activities, digitisation of the process loops is still in its early infancy.