Olga Contente

C644867037-00000013-8/8 • GA_OBTURADORES GREENAUTO: Automated automotive body parts mounting system

Principal Researcher:
Serafim Oliveira

Duration: 2023 – 2025

Cised team members
José Luís Silva
Daniel Albuquerque
Rui Pedro Duarte
Olga Contente

➝ mais

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.

, , , ,

PIDI/CISeD/2021/001 • Industrial Augmented Reality (IAR)

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.

, , , ,

CENTRO‐01‐0247‐FEDER‐047199 • AgroSafeBox: Intelligent alert system for agrovehicles rollover and driver safety

Duration: 2021 – 2023

Cised team members
Daniel Albuquerque
Olga Contente

Funding
CENTRO2020; PORTUGAL2020; Fundo Europeu de Desenvolvimento Regional

The project aims to develop, test and implement an AgroSafeBox-System, which allows monitoring, in real time, the location, inertia and other parameters of a vehicle, as well as the physiological signals of the driver, to prevent the occurrence of the accident. This system can be attached to any vehicle, however within the scope of the project it is dedicated to tractors and quads used in agricultural and forestry operations. In these cases, the accident occurs due to the specifics of the terrain, by tipping over, causing bodily harm and material damage. The detection of behavioral changes in the driver during driving, by monitoring their physiological signs, can also prevent the accident, namely due to fatigue, stress, driving habits, among others.

The AgroSafeBox System will allow you to prevent and alert to the risk of accident and medical emergency in 3 situations:
i) in pre-driving, when assessing the driver's condition before driving, preventing the risk of an accident when the driver does not respond satisfactorily to the assessment carried out by the System;
ii) in driving, by monitoring in real time parameters of the vehicle and the task in progress which, through stability criteria based on tipping indices, will make it possible to prevent and warn of the risk of an accident. The system will also monitor various physiological signals from the driver that may contribute to the occurrence of accidents;
ii) in the event of an accident or emergency, signal and alert the competent authorities and emergency contacts, if not manually deactivated within a pre-established period. It will also allow you to alert vehicles equipped with the AgroSafeBox located close to the accident so that they can provide assistance more quickly.

The project also aims to provide a platform for the global and integrated management of the System and interaction with users, for the management and control of vehicles, among other features.

, ,

CENTRO-08-5864-FSE-000031 • Forest4Future: PP 21 – Projeto Piloto de valorização económica da pinha e do pinhão da Região Centro (VEPP)

Duration: 2020 – 2023

Cised team members
António Figueiredo
Carlos Pereira
Edmundo Marques
Elisabete Silva
Olga Contente
Serafim Oliveira

, , , , , ,
Scroll to Top