Calibração de sistema de visão com câmera de linha

O trabalho prevê o desenvolvimento de um algoritmo de calibração de um sistema de visão composto por uma câmera de linha sobre uma esteira, incluindo parâmetros não lineares de distorção da lente. A captura de imagens bidimensionais ocorre, nesse sistema, pelo movimento de objeto sobre a esteira, passando pelo campo de visão da câmera. Cada fotografia registra uma linha que, unidas de forma sequencial, formam uma representação 2D do objeto. O procedimento de calibração explora a identificação do modelo do sis tema por Aprendizado de Máquina, permitindo descrever matematicamente a projeção de objetos 3D em uma imagem. A proposição é: parametrizar e montar o sistema de visão; projetar e confeccionar o padrão de calibração; implementar algoritmo de calibração com tecnologia de Aprendizado Profundo; realizar ensaios de calibração; avaliar os resulta dos em termos de convergência e erro de reprojeção; e revisão do método, discutindo seu impacto e enunciando possibilidades de desenvolvimento futuroThe work envisages the development of a calibration algorithm for a vision system comprised of a line scan camera placed on a conveyor belt, encompassing non-linear lens distortion parameters. In this system, two-dimensional image capture occurs as objects move across the conveyor belt, traversing the camera’s field of view. Each photograph records a line which, when sequentially joined, forms a 2D representation of the object. The calibration procedure leverages Machine Learning to identify the system’s model, enabling the mathematical description of the projection of 3D objects onto an image. The proposition is to parameterize and assemble the vision system; design and create the ca libration pattern; implement the calibration algorithm using Deep Learning technology; conduct calibration tests; evaluate the results in terms of convergence and reprojection error; and review the method, discussing its impact and outlining possibilities for future developmen

Sistema de Controle para planta de Pirólise

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How do general practitioners experience providing care to refugees with mental health problems? A qualitative study from Denmark

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Integration of oncology and palliative care : a Lancet Oncology Commission

Full integration of oncology and palliative care relies on the specific knowledge and skills of two modes of care: the tumour-directed approach, the main focus of which is on treating the disease; and the host-directed approach, which focuses on the patient with the disease. This Commission addresses how to combine these two paradigms to achieve the best outcome of patient care. Randomised clinical trials on integration of oncology and palliative care point to health gains: improved survival and symptom control, less anxiety and depression, reduced use of futile chemotherapy at the end of life, improved family satisfaction and quality of life, and improved use of health-care resources. Early delivery of patient-directed care by specialist palliative care teams alongside tumour-directed treatment promotes patient-centred care. Systematic assessment and use of patient-reported outcomes and active patient involvement in the decisions about cancer care result in better symptom control, improved physical and mental health, and better use of health-care resources. The absence of international agreements on the content and standards of the organisation, education, and research of palliative care in oncology are major barriers to successful integration. Other barriers include the common misconception that palliative care is end-of-life care only, stigmatisation of death and dying, and insufficient infrastructure and funding. The absence of established priorities might also hinder integration more widely. This Commission proposes the use of standardised care pathways and multidisciplinary teams to promote integration of oncology and palliative care, and calls for changes at the system level to coordinate the activities of professionals, and for the development and implementation of new and improved education programmes, with the overall goal of improving patient care. Integration raises new research questions, all of which contribute to improved clinical care. When and how should palliative care be delivered? What is the optimal model for integrated care? What is the biological and clinical effect of living with advanced cancer for years after diagnosis? Successful integration must challenge the dualistic perspective of either the tumour or the host, and instead focus on a merged approach that places the patient's perspective at the centre. To succeed, integration must be anchored by management and policy makers at all levels of health care, followed by adequate resource allocation, a willingness to prioritise goals and needs, and sustained enthusiasm to help generate support for better integration. This integrated model must be reflected in international and national cancer plans, and be followed by developments of new care models, education and research programmes, all of which should be adapted to the specific cultural contexts within which they are situated. Patient-centred care should be an integrated part of oncology care independent of patient prognosis and treatment intention. To achieve this goal it must be based on changes in professional cultures and priorities in health care

Do Danes enjoy a high-performing chronic care system?

The trends in population health in Denmark are similar to those in most Western European countries. Major health issues include, among others, the high prevalence of chronic illnesses and lifestyle related risk factors such as obesity, tobacco, physical inactivity and alcohol. This has pressed the health system towards a model of provision of care based on the management of chronic care conditions. While the Chronic Care Model was introduced in 2005, the Danish health system does not fulfil the ten key preconditions that would characterise a high-performing chronic care system. As revealed in a recent report,1 the fragmented structure of the Danish health system poses challenges in providing effectively coordinated care to patients with chronic diseases