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Most of the products use a variety of packaging, which aid in transportation, use and sale and, later, are discarded. The natural cosmetics market, values productions that use natural resources properly, lowering the use of synthetic inputs and focusing on proper disposal of products. The aim of this paper is to develop a packaging system and a visual signature for the natural cosmetics brand Alquimias da Terra - Caçapava do Sul, in a sustainable way. The packaging design methodology of professor Fábio Mestriner (1999) will be used, which is divided into stages with a focus on strategic product development. With the result, packaging and visual signature properly aligned with the production, consumption and disposal of the product, it was possible to realize the importance of connecting sustainability issues to the packaging design process., Muitos produtos utilizam variadas embalagens, que auxiliam na venda, transporte e consumo, e posteriormente são descartadas. O mercado de cosméticos naturais preza pela produção responsável, com menos insumos sintéticos e um descarte adequado. O objetivo deste trabalho é desenvolver um sistema de embalagens e uma assinatura visual para a marca de cosméticos naturais Alquimias da Terra – Caçapava do Sul de modo sustentável. Será utilizada a metodologia para desenho de embalagens do professor Fábio Mestriner (1999), que se divide em etapas focadas no desenvolvimento estratégico do produto. Com o resultado do projeto, embalagens e assinatura visual alinhadas com produção, consumo e descarte adequados do produto, foi possível perceber a importância de associar questões sobre sustentabilidade no processo do design de embalagem.

The design of topographic maps of reference is characterised both by an increasing amount of reference geographic databases and by design geo-services operating in distributed architectures. In this context, one of the major challenges consists in enriching the current knowledge on cartographic design in order to preserve the maps quality, i.e. they are legible, effective and usable. We assume that the topographic style renders maps legible and effective thanks to the visual codes and guides, well-known by the users. Our research purpose aims at formalising the concept of a topographic style as a cartographic family with a recognizable visual signature in order to produce new topographic maps.We propose to formalize key concepts of visual signature and cartographic family in a unified model. We validate and instantiate this model in setting up interviews of cartography experts and in designing user’s experiments allowing to evaluate the visual recognition of maps and graphic signs belonging in Swisstopo and IGN-France cartographic families. With results of the two user’s experiments, we characterize the visual signature of the two cartographic families. Then, we propose cartographic design guidelines in order to produce reference topographic maps based on the characterisation of the visual signature for two cases studies: (1) design a map belonging in a given cartographic family, (2) design a map on the border of two countries / two national mapping agencies, La conception de cartes topographiques de référence est aujourd’hui caractérisée par une multiplication des données géographiques et des services de conception cartographiques de plus en plus distribués. Dans ce contexte, il est nécessaire d’enrichir les connaissances existantes sur la rédaction cartographique afin de préserver la qualité des cartes produites, i.e. qu’elles soient lisibles et efficaces. Nous faisons l’hypothèse que le style topographique facilite la lisibilité et l’efficacité d’une carte grâce à des codes et repères visuels connus des utilisateurs. Nous nous sommes fixés comme objectif de formaliser la notion de style topographique en tant que famille cartographique regroupant des signes graphiques reconnus des utilisateurs afin de pouvoir l’utiliser pour produire de nouvelles cartes topographiques.Dans ce travail de thèse, nous proposons un modèle conceptuel intégrant les concepts clés de signature visuelle et de famille cartographique. Nous validons et instancions ce modèle à travers la mise en place d’entretiens auprès d’experts cartographes et le déploiement de deux expérimentations auprès d’utilisateurs permettant d’étudier les familles cartographiques IGN et Swisstopo. Les résultats obtenus permettent de caractériser les signatures visuelles de chacune de ces deux familles cartographiques. À l’aide de la caractérisation des signatures visuelles de ces deux styles topographiques typiques (IGN-France et Swisstopo), nous proposons des recommandations qui permettraient de produire de nouvelles cartes topographiques pour les deux cas d’application suivants : (1) produire de nouvelles cartes topographiques appartenant au même style topographique, (2) produire de nouvelles cartes topographiques à la frontière entre deux pays / agences nationales de cartographie

The term smart environment refers to physical spaces equipped with sensors feeding into adaptive algorithms that enable the environment to become sensitive and responsive to the presence and needs of its occupants. People with special needs, such as the elderly or disabled people, stand to benefit most from such environments as they offer sophisticated assistive functionalities supporting independent living and improved safety. In a smart environment, the key issue is to sense the location and identity of its users. In this paper, we intend to tackle the problems of detecting and tracking humans in a realistic home environment by exploiting the complementary nature of (synchronized) color and depth images produced by a low-cost consumer-level RGB-D camera. Our system selectively feeds the complementary data emanating from the two vision sensors to different algorithmic modules which together implement three sequential components: (1) object labeling based on depth data clustering, (2) human re-entry identification based on comparing visual signatures extracted from the color (RGB) information, and (3) human tracking based on the fusion of both depth and RGB data. Experimental results show that this division of labor improves the system’s efficiency and classification performance.

The term smart environment refers to physical spaces equipped with sensors feeding into adaptive algorithms that enable the environment to become sensitive and responsive to the presence and needs of its occupants. People with special needs, such as the elderly or disabled people, stand to benefit most from such environments as they offer sophisticated assistive functionalities supporting independent living and improved safety. In a smart environment, the key issue is to sense the location and identity of its users. In this paper, we intend to tackle the problems of detecting and tracking humans in a realistic home environment by exploiting the complementary nature of (synchronized) color and depth images produced by a low-cost consumer-level RGB-D camera. Our system selectively feeds the complementary data emanating from the two vision sensors to different algorithmic modules which together implement three sequential components: (1) object labeling based on depth data clustering, (2) human re-entry identification based on comparing visual signatures extracted from the color (RGB) information, and (3) human tracking based on the fusion of both depth and RGB data. Experimental results show that this division of labor improves the system’s efficiency and classification performance.