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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInternational Conference on Applied Technologies - 5th International Conference on Applied Technologies, ICAT 2023, Revised Selected Papers
EditorsMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages107-120
Number of pages14
ISBN (Print)9783031589553
DOIs
StatePublished - 2024
Event5th International Conference on Applied Technologies, ICAT 2023 - Samborondon, Ecuador
Duration: 22 Nov 202324 Nov 2023

Publication series

NameCommunications in Computer and Information Science
Volume2049 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Conference on Applied Technologies, ICAT 2023
Country/TerritoryEcuador
CitySamborondon
Period22/11/2324/11/23

Bibliographical note

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

Keywords

  • Artificial Intelligence
  • Embedded System
  • Facial Recognition
  • Intelligent Assistant
  • Voice Commands

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

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