DAIC - Departamento Acadêmico de Informação e Comunicação
URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/657
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2 resultados
Resultados da Pesquisa
Item RG-AEDES: software de reconhecimento geográfico de locais para o controle de vetores da dengue, zika e chikungunya(2019-08-15) Viana Neto, Izaltino; Carminé, Rogério Luiz Araújo; http://lattes.cnpq.br/7537210268624278; Carminé, Rogério Luiz Araújo; http://lattes.cnpq.br/7537210268624278; Souza, Jucimar Brito de; http://lattes.cnpq.br/0217852318751550; Barbosa, Miguel Bonafe; http://lattes.cnpq.br/1631055281834401To ensure the health of the population, the Ministry of Health in Brazil establishes a set of actions, guidelines and processes to promote the control of Dengue, Zika and Chikungunya mosquito vectors, including the activity of Geographic Recognition, which is carried out by field agents. To identify the locations and areas of field actions for vector control. This work aims to provide software to computerize the geographic recognition process for allowing activity planning, data collection, monitoring and consolidation, resulting in more reliable data obtained with less time and effort. The proposed system will also allow the management of georeferenced data for enabling the strategic planning of vector control actions and the collection of this data through a mobile device working offline.Item UARANÁ: aplicativo para identificação de animais do bioma amazônico impressos em 3D(2022-12-15) Costa, Ádria Estefane do Rosário; Santos Júnior, Antônio Ferreira dos; http://lattes.cnpq.br/5353782518190667; Santos Júnior, Antônio Ferreira dos; http://lattes.cnpq.br/5353782518190667; Silva, Emmerson Santa Rita da; http://lattes.cnpq.br/2816676765167172; Pinto, Elson Antonio Sadalla; http://lattes.cnpq.br/9786797594989755Considering the use of technology for educational purposes, a project was developed to help students learn, in order to understand and learn more about Ecology with a focus on the Amazon Biome, through a model composed of 3D printed animals. The objective of the UARANÁ project is development application, through the camera, to recognize the image of animals produced by 3D printers and from there to provide extra information about the recognized animal, with images, texts and videos defined by the author of the model. For this, research was carried out to identify the possibility of developing this application using mobile technologies. Thus, using the incremental and iterative approach of the RUP (Rational Unified Process) project development model, a project was developed with an image classification model trained on the Teachable Machine to perform image recognition, being possible to query registered information about the objects in a database. Resulting in obtaining a mobile application for recognizing animals printed in 3D, which through the graphical interface returns information about the animals of the Amazon Biome.