Sistemas Embarcados e Visão Computacional para Segurança Residencial: Uma Revisão da Literatura

• Joniel Mendes da Silva ^[1] ; João André Borges Santana ^[1] ; Heitor Garcez Martins Louzeiro ^[1] ; Wanderson Jean Conceição Silva ^[1] ; Felipe Goncalves dos Santos ^[1]
  1. [1] Instituto Federal de Educação, Ciência e Tecnologia do Piauí – IFPI, Piauí, Brasil
• Localización: RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, ISSN-e 1646-9895, Nº. Extra 78, 2026, págs. 129-141
• Idioma: portugués
• Títulos paralelos:
  • Embedded Systems and Computer Vision for Home Security: A Literature Review
• Enlaces
  • Texto completo (pdf)
• Resumen
  • English

    This article presents a systematic literature review on embedded systems and computer vision applied to residential security (2020-2025). Analyzing 63 selected publications from databases such as Scopus and ACM, the study identifies trends and challenges. The results reveal that computer vision is the key technology, enabling systems to interpret events. The most recurrent applications are access control via facial recognition, intruder detection, and fire monitoring.

    India (38.10%), Pakistan (14.29%), and China (11.11%) lead in scientific production.

    This review consolidates the state-of-the-art, highlighting the role of visual analysis in security automation and pointing toward future research directions.

  • português

    Este artigo apresenta uma revisão sistemática da literatura sobre sistemas embarcados e visão computacional aplicados à segurança residencial (2020-2025).

    Analisando 63 publicações selecionadas de bases como Scopus e ACM, o estudo identifica tendências e desafios. Os resultados revelam que a visão computacional é a tecnologia-chave, permitindo que os sistemas interpretem eventos. As aplicações mais recorrentes são controle de acesso por reconhecimento facial, detecção de intrusos e monitoramento de incêndios. Índia (38,10%), Paquistão (14,29%) e China (11,11%) lideram a produção científica. Esta revisão consolida o estado da arte, destacando o papel da análise visual na automação da segurança e apontando direções para futuras pesquisas.

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