Campus Manaus Distrito Industrial
URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/9
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Trabalho de Conclusão de Curso Uso do drone Tello Edu como ferramenta integrada para o ensino de programação, visão computacional e inteligência computacional(2025-03-13) Alves Júnior, Washington Henrique; Frota, Vítor Bremgartner da; http://lattes.cnpq.br/6100146230873494; Velozo, Hugo Alves; http://lattes.cnpq.br/8351107136518878; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697This study addresses the utilization of the Tello EDU drone as an integrated educational tool for teaching programming, computer vision, and computational intelligence at the Instituto Federal do Amazonas (IFAM), Manaus Distrito Industrial campus. The general aim is to demonstrate the educational potential of the Tello EDU drone, highlighting its contribution to developing computational thinking and facilitating the practical application of related disciplinary content. The adopted methodology comprises a literature review and a critical analysis of data and previous experiments. Initially, the research focused on visual programming through Scratch, revealing significant student engagement and interest due to the ease and interactivity of the activities. Subsequently, the project introduced Python as a textual programming language, enabling students to execute more complex tasks, such as autonomous flights and advanced command sequences using the DJITelloPy library. Additionally, the study explored practical applications using OpenCV and MediaPipe libraries to implement gesture-based control systems. Results from prior experiments confirmed the viability of this integrated approach, providing students with an intuitive and dynamic learning interface, promoting practical and meaningful learning experiences in programming, computer vision, and computational intelligence. In conclusion, the Tello EDU drone proved to be an effective resource for fostering computational thinking and enhancing practical understanding and application in programming, computer vision, and computational intelligence. This approach significantly contributed to interactive and meaningful learning experiences.