Saraiva, L., Henriques, J., Silva, J., Barbosa, A., Oliveira, S. (2025).
A Mixed Reality-Based Training and Guidance System for Quality Control.
Computers, 14(11), 479.
https://doi.org/10.3390/computers14110479
0000-0002-3499-6681 • 5611-AC57-8C6A
INSTITUTO POLITÉCNICO DE VISEU • Escola Superior de Tecnologia e Gestão de Viseu
Principal Researcher:
Serafim Oliveira
Duration: 2023 – 2025
Cised team members
José Luís Silva
Daniel Albuquerque
Rui Pedro Duarte
Olga Contente
Many currently available robotic systems have important limitations regarding adaptation to car electrification trends. To overcome these limitations, this project focuses on developing one efficient piece of equipment for shutter assembly, exploring the potential of artificial vision technology. It includes simulation studies to assess the viability of the proposed solution, which will be prototyped and tested in laboratory and pre-industrial conditions afterward.
Principal Researcher:
José Luís Henriques da Silva
Duration: 2023 – 2025
Cised team members
Serafim Oliveira
Rui Pedro Duarte
José Luís Abrantes
Paulo Vaz
João Menoita
Unmanned Aerial Vehicles (UAVs) can be used to monitor activities and offer technological solutions in various industrial sectors.
Applying machine vision algorithms to UAVs allows vehicles to understand and interact with the surrounding environment more intelligently. They can identify and avoid obstacles, make navigation decisions based on the collected visual information, and even perform complex tasks such as following predetermined routes or recognizing specific objects.
However, artificial vision has challenges such as the need to deal with changing lighting conditions, changing weather conditions and the presence of complex and moving objects. Machine vision algorithms need to be robust enough to handle these situations and provide accurate and reliable results.
Furthermore, it is important to perform rigorous validation and testing of machine vision algorithms under different scenarios and conditions to ensure that they are robust enough before being deployed in practical applications.
This project intends to implement this technology in industrial environments, namely in precision positioning (Vision Positioning System – VPS) and automated inspection.
The use of UAVs equipped with VPS and automated inspection systems allows real-time monitoring of various industrial activities, such as detecting chemical leaks, identifying risk areas, monitoring production flow, visual quality control, among others.
Data collected by UAVs or sensors can be processed in real time and provide valuable information for decision making and ensuring safety and compliance in industrial environments.
Principal Researcher:
Serafim Oliveira
Duration: 2022 – 2025
Cised team members
José Luís Silva
Rui Pedro Duarte
João Menoita Henriques
Paulo Vaz
Daniel Albuquerque
Ricardo Gama
This project proposes impactful innovations in quality control processes through the development of a system for guidance of operators aided by virtual and augmented reality, and it is expected to address the digitalization applied to tasks performed by operators supported by virtual reality training and augmented reality. Creating a system that combines these components will accelerate the learning curve of new operators and prevent critical factors and operational errors.
Teixeira, C. C., Abdullah, F., Alikhani, M., Alansari, S., Sangsuwon, C., Oliveira, S., Nervina, J. M.; Alikhani, M. (2022).
Dynamic loading stimulates mandibular condyle remodeling.
Journal of the World Federation of Orthodontists, 11(5), 146-155.
http://dx.doi.org/10.1016/j.ejwf.2022.08.002
Alikhani, M. (2022).
Mechanotherapy in Orthodontics: Principles of Design.
Nova Iorque, Estados Unidos: CTOR Press
Principal Researcher:
José Silva
Duration: 2021 – 2023
Cised team members
Olga Contente
Serafim Oliveira
Daniel Gaspar
The constant changes in the contextual environment and the continuous globalization cause changes in the market, which push the companies to look for new technologies to increase productivity and profitability. In addition, customer requirements force companies to make their production systems more flexible, efficient and competitive.
It is due to these changes that the need arises to implement interconnected systems, integrated into an industrial IoT platform (IIoT - Industrial Internet of Things), supported by the connection of equipment and production systems so that companies can create networks along the value chain and thus control and command processes independently and in real-time.
The implementation in organizations of intelligent and interconnected ecosystems allows making decisions in a decentralized way. However, it is necessary to provide tools to assist in decision-making, monitoring operations, and reducing errors by the operator.
This project aims to respond to this challenge with the application of solutions developed in augmented reality (AR) in an industrial environment.
The integration of AR in a production system allows to reduce production errors and increase the efficiency of product development since there is constant monitoring during the performance of tasks.
This project is based on three fundamental objectives.
One of the objectives of this project is the implementation of solutions developed in AR, in various industrial applications, namely, in carrying out maintenance interventions (inspection with remote support or access to instructions in virtual windows), in guiding employees through procedures, either be it the first time or a recurring task, using holographic step-by-step instructions and issuing alerts to users with the details necessary for the execution of operations.
The other objective is the integration of the AR system with an existing IIoT platform, which will allow obtaining and viewing in real-time the desired information for each equipment, such as the operating temperature, energy consumption, or the condition of the components. that integrate the equipment.
It is also the objective of this project to develop the best visualization solution taking into account the particularities of each application so that the interaction with the projections is fluid and with reduced latency.
Digital objects, from industrial equipment, will be developed using programming algorithms and spatial digitization for referencing the anchoring points of the real space where these objects are immersed.
CISeD Team Members:
Bruno Ferreira
Cristina Romão
Ricardo Gama
Rui Pedro Duarte
Steven Lopes Abrantes
Serafim Oliveira
Duration: 2021 – 2023
Funding
FEDER
InovC+ is a regional project that promotes the valorization and transfer of scientific and technological knowledge, promoting interaction between the 19 partners of this initiative (higher education institutions, scientific interface entities and innovation parks) and the regional economy and consolidating the innovation ecosystem of the Central Region. This project will fund several activities with this purpose, from which we highlight the technology shows, the business ideas contest ARRISCA C+, proofs of concept, awareness and training actions for the promotion of the transfer culture, and protection of scientific knowledge with transfer potential.
Alikhani, M., Sangsuwon, C., Alansari, S., Nervina, J. M., Oliveira, S. P., Teixeira, C. C. (2021).
CTOR Plates: A new invention for non-surgical treatment of complex malocclusions.
Innovation, 1(1)e2.
DOI: 10.30771/2021.2
