2025-06-062025-06-062025-05-16MATOS JÚNIOR, Valdeney André. Sistema assistivo de identificação de cores para deficientes visuais usando visão computacional e síntese de voz. Orientador: Iago Lins de Medeiros. 2025. 43 f. Trabalho de Conclusão de Curso (Bacharelado em Engenharia da Computação) – Faculdade de Engenharia da Computação, Campus Universitário de Tucuruí, Universidade Federal do Pará, Tucuruí, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/8293. Acesso em:.https://bdm.ufpa.br/handle/prefix/8293This work presents the development of an assistive system for real-time color detection and identification, aimed at assisting people with visual impairments. The system uses computer vision techniques to capture images through a webcam, process them in the HSV color space, and thus identify the predominant color. After identification, the system provides auditory feedback through speech synthesis using the gTTS library. The implementation was carried out in Python, using the OpenCV library for image processing and Matplotlib for visualizing the results. Tests were conducted under controlled lighting conditions, using blue, green, and red colors, and demonstrated good accuracy in identifying the predominant colors. This project seeks to promote greater autonomy for people with visual impairments, contributing to social inclusion and accessibility. Furthermore, the work discusses the challenges and limitations of computer vision in assistive applications, such as lighting variations and the need to support a wider spectrum of colors, suggesting improvements for future versions of the system, including its adaptation to mobile devices and enhancement of the detection algorithm.Acesso AbertoVisão computacionalAcessibilidadeDetecção de coresComputer visionAccessibilityColor detectionCNPQ::ENGENHARIASCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAOTrabalho de Curso - Graduação - MonografiaAttribution-NonCommercial-NoDerivs 3.0 Brazil