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Intelligent Virtual Assistant for Elevators Powered by Facial Recognition and Voice Commands

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Intelligent assistants are currently categorized as computer programs combined with Artificial Intelligence that interact with the user by voice, messages or images. Thanks to technological advances, intelligent assistants have become widely used in home automation, aiming to automate security, welfare and comfort. This project aims to provide automation for elevators improving the user experience with better security, offering information and user comfort. For this purpose, the application integrates technological tools of facial recognition as part of security and voice activation to command the actuators. Furthermore, the development of the application is oriented to help the multiple users of elevators, especially the group of users with some physical or visual impairment, since it allows the users to mention the floor to which they are going and additionally get a brief overview of what is on that floor, reducing mobility within the elevator, and the search for buttons for the operation of the elevator. The research focused on bibliographic studies on the development of virtual assistants, facial recognition and voice command using free software tools such as Python with its wide range of libraries, and hardware such as PCs, Arduino or Raspberry, depending on the resources needed for the App developed. In the end, a series of tests and satisfactory results with the intelligent virtual assistant are presented to reach the objectives of this study.

Idioma originalInglés
Título de la publicación alojadaInternational Conference on Applied Technologies - 5th International Conference on Applied Technologies, ICAT 2023, Revised Selected Papers
EditoresMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas107-120
Número de páginas14
ISBN (versión impresa)9783031589553
DOI
EstadoPublicada - 2024
Evento5th International Conference on Applied Technologies, ICAT 2023 - Samborondon, Ecuador
Duración: 22 nov 202324 nov 2023

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen2049 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia5th International Conference on Applied Technologies, ICAT 2023
País/TerritorioEcuador
CiudadSamborondon
Período22/11/2324/11/23

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Areas de Conocimiento del CACES

  • 417A Electrónica, automatización y sonido

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