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ESTCB - Escola Superior de Tecnologia

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Browsing ESTCB - Escola Superior de Tecnologia by Author "Aidos, Clara"

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  • Development of a prototype solution for reducing soup waste in an institutional canteen
    Publication . Correia, Ana; Aidos, Clara; Caldeira, J.M.L.P.; Soares, V.N.G.J.
    Food waste has gained increasing attention and debate, given its economic, environmental, social, and nutritional implications. One-third of food intended for human consumption is wasted. Although it is present at all stages of the food supply chain, it is in the final stages of consumption, such as households and food services, that the problem becomes most evident. This work builds on a previous study by the same authors, which identified computer vision as a suitable technology for identifying and quantifying food waste in institutional canteens. Based on this result, this paper describes the proposal and implementation process of a prototype demonstration. It is based on a Raspberry Pi 4 platform, a Resnet-50 model adapted with the Faster Region-Convolutional Neural Network (Faster R-CNN) model, and an algorithm for feature extracting. A specially built dataset was used to meet the challenge of detecting soup bowls and classifying waste in their consumption. A web application was developed to visualize the data collected, supporting decision making for more efficient food waste management. The prototype was subjected to validation and functional tests, and proved to be a viable, low-cost solution.
    2024Journal article Open access Show more
  • Utilização de técnicas de visão computacional para redução do desperdício alimentar numa cantina institucional
    Publication . Correia, Ana; Aidos, Clara; Soares, Vasco N.G.J.; Caldeira, J.M.L.P.
    Na sociedade atual, o desperdício alimentar tem sido alvo de interesse e discussão crescente, face às implicações económicas, ambientais, sociais e nutricionais. Este trabalho foca-se nas cantinas institucionais, onde o desperdício alimentar engloba as refeições preparadas que não foram vendidas, bem como os alimentos servidos que sobram nos pratos após o consumo da refeição. Esta apresentação centra-se num estudo que visa validar, avaliar e comparar diferentes técnicas de visão computacional para identificar e quantificar o desperdício alimentar numa cantina institucional. Apresenta os conceitos relacionados com a temática e as soluções apontadas na literatura, discute os pontos fortes e limitações das mesmas e identifica pontos em aberto. Após esta análise, apresenta uma avaliação de desempenho das técnicas mais promissoras para solução deste problema.
    2024Conference object Open access Show more