Graduações em Engenharias e Ciência da Computação

URI permanente para esta coleçãohttps://repositorio.insper.edu.br/handle/11224/3249

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2024 - 20252

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Idioma: search.filters.langiso.InglêsÁrea do Conhecimento: search.filters.subjectcnpq.ENGENHARIA MECATRONICA

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
  • Imagem de Miniatura
    Trabalho de Conclusão de Curso
    Supermarket Cart Tracking System
    (2025) Leventhal, Ariel; Tamm, Arthur; Trintim, Felipe; Hun, Pedro
    This paper presents the development of a real-time location system designed for supermarket shopping carts, aiming to enhance operational efficiency and customer experience. The system leverages Ultra-Wideband (UWB) technology to achieve sub-meter precision in indoor tracking, integrating seamlessly with existing smart cart hardware that includes cameras and an NVIDIA Jetson Orin. By accurately mapping cart positions, the system addresses key challenges such as cart theft prevention, dynamic product placement optimization, and potential for personalized product recommendations. The results indicate that UWB technology provides a robust and scalable solution for indoor cart tracking, improving both supermarket management and shopping convenience.
  • Imagem de Miniatura
    Trabalho de Conclusão de Curso
    Estimating Room Temperature Arrival Time
    (2024) Moura, Adney Costa; Drummond, Felipe Martins da Costa; Lopes, Lorran Caetano Machado; Alessi, Tomas Rodrigues
    This project aims to develop a predictive model to estimate the temperature decay in a room equipped with air conditioning, using data collected by the Klima device, developed by Boldr, and integrating it into the company’s client environment for visualization. Klima is a device that integrates temperature and humidity sensors, allowing for both the control of air conditioning units and the transmission of data to the cloud, where it is stored and accessed through the company’s application. Based on this historical data, which includes variables such as the air conditioner’s operating mode and the temperature evolution over time, the project seeks to build a model capable of predicting the temperature decay curve of the environment, adapting to the specific behavior of each room. Besides developing the predictive model, the project also aims to integrate these predictions into Boldr’s application, making them accessible to customers, and to update the device’s firmware so that the predictions can also be displayed on a physical screen.