TCC Sistemas de Informação

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https://repositorio.ifal.edu.br/handle/123456789/46

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Navegando TCC Sistemas de Informação por Assunto "Acessibilidade"

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    Desenvolvimento de um dispositivo vestível de assistência à locomoção utilizando visão computacional e internet das coisas
    (INSTITUTO FEDERAL DE ALAGOAS - Ifal, 2026-02-27) Pereira, Guilherme Barbosa; Silva, Cledja Karina Rolim da; http://lattes.cnpq.br/1770216488772332; Silva, Cledja Karina Rolim da; http://lattes.cnpq.br/1770216488772332; Souza, Tarsis Marinho de; http://lattes.cnpq.br/9808563385937929; Tenório, Fernando Antonio Guimarães; http://lattes.cnpq.br/0678507623542382
    Autonomous urban mobility is an essential aspect of the quality of life for visually impaired individuals, who often face physical and architectural barriers aggravated by the lack of accessibility in cities. Traditional tools, such as the white cane, although fundamental, have limitations in detecting aerial obstacles and in the semantic identification of the environment. Given this scenario, this work proposes the development of a wearable visual assistance system based on the Internet of Things (IoT) and Artificial Intelligence. The solution applies Computer Vision technology as a way to understand the environment. The Image capture and distance measurement are performed by an ESP32-CAM module, while heavy processing and inference occur on an external server. The main innovation lies in the feedback delivery: the server processes the image and sends the synthesized audio alert (Text-to-Speech) in real-time via the WebSocket protocol to an Android mobile application, which instantly reproduces the message through the user's headphones. To validate the proposal, tests were performed that could identify objects and report their distance with low latency. The results demonstrate that the integration between IoT, cloud processing, and mobile devices contributes significantly to increasing safety, contextual perception, and locomotion independence for the visually impaired.
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    QR Code como ferramenta de apoio para pessoas com transtorno do espectro autista (TEA): uma análise de viabilidade
    (2025-11-27) Ferreira, Eyder Tinoco; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Bezerra, Tárcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Santos, Eduardo Breno Farias dos; http://lattes.cnpq.br/3318799697977357
    This study investigates the feasibility of using QR Codes as a complementary tool for the identification and communication of individuals with Autism Spectrum Disorder (ASD). The research stems from the observation that traditional methods, such as the puzzle-piece lanyard and the Autism Spectrum Disorder Identification Card (CIPTEA), while important, present limitations regarding practicality, information updating, and the protection of sensitive data. To assess the potential of QR Codes in this context, a systematic literature review was conducted using the Google Scholar, SpringerLink, and IEEE Xplore databases, resulting in the selection of fourteen studies published between 2019 and 2024. The findings highlighted recurrent benefits such as ease of information access, low implementation cost, real-time verification, and authenticity assurance, along with privacy risk mitigation strategies based on blockchain, digital authentication, and encryption. Subsequently, a questionnaire was applied to fifty-one participants, including individuals with ASD and their guardians, revealing that 82.3% of CIPTEA users consider the document useful for accessing rights but express interest in more dynamic and customizable digital solutions. Based on these results, the GizmoCode web system was developed—a functional prototype built with Java and Angular, designed to generate personalized QR Codes containing contact and support information, implemented in a non-governmental organization (NGO) in Maceió, Brazil. The results indicate that QR Codes represent a viable, secure, and promising alternative to complement the identification of individuals with ASD, contributing to social inclusion, accessibility, and autonomy. However, further studies are recommended to perform heuristic evaluations and assess large-scale adoption in real environments.