DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations

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The work ‘DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations’ describes the development of the robotic prototype called DruBot that seeks to recognize the faces of the persons who join to a classroom spe...

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Detalles Bibliográficos
Autores: Yallico Arias, Tereza, Huisacayna Cutipa, Abigail, Ale Ale, Neisser, Calderón Niquin, Marks
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional de Ingeniería
Repositorio:Revistas - Universidad Nacional de Ingeniería
Lenguaje:español
OAI Identifier:oai:oai:revistas.uni.edu.pe:article/561
Enlace del recurso:https://revistas.uni.edu.pe/index.php/tecnia/article/view/561
Nivel de acceso:acceso abierto
Materia:Face Landmarks
Haar Cascade
Distancia Euclidiana
Autenticación
Visión Artificial
Haar Cascade,
Euclidean Distance
Authentication
Computational Vision
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spelling DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluationsDruBot: Prototipo robótico para autenticación por comparación de proporciones faciales para el control de asistencia y detectar la suplantación en evaluacionesYallico Arias, TerezaHuisacayna Cutipa, AbigailAle Ale, NeisserCalderón Niquin, MarksFace LandmarksHaar CascadeDistancia EuclidianaAutenticaciónVisión ArtificialFace LandmarksHaar Cascade,Euclidean DistanceAuthenticationComputational VisionThe work ‘DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations’ describes the development of the robotic prototype called DruBot that seeks to recognize the faces of the persons who join to a classroom specific, a private area or an examination, comparing them with a database for each case (to distinguish them from the characteristics extracted from the photo of the university identification and the frames obtained of the video of welcome of every student) and to determine if the image of the person which camera is capturing has or hasn’t access to the area, issuing a different sign if his or her access is allowed or not. We apply technologies of artificial vision (Haar cascade for the detection of faces in the whole image captured by camera in real time and Face Landmarks to find the key points of human detected face, to calculate his proportions with Euclidean distances and to compare for the recognition of every person in specific) and serial communication with electronic devices so that the presents notice when there is an intruder or when the student has been recognized well and register his or her assistance.Este trabajo describe el desarrollo del prototipo robótico llamado DruBot que busca reconocer los rostros de las personas que ingresan a un aula en específico, un área privada o un examen, comparándolos con una base de datos para cada caso (para distinguirlos a partir de las características extraídas de la foto del carnet universitario y los frames obtenidos del video de bienvenida de cada estudiante)  y determinar si la persona que se ve a través de la cámara tiene o no acceso al área, emitiendo una señal distinta si se le permite el ingreso o no. Aplicamos técnicas de visión artificial (Haar cascade para la detección de rostros en toda la imagen capturada por la cámara en tiempo real y Face Landmarks para encontrar los puntos clave del rostro humano detectado, calcular sus proporciones a partir de distancias euclidianas y comparar para el reconocimiento de cada persona en específico) y comunicación serial con dispositivos electrónicos a fin de que los presentes noten cuándo hay un intruso o cuándo ha reconocido bien a alguien para tomarle asistencia.  Universidad Nacional de Ingeniería2019-06-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionComputing and Computer ScienceInformática y Ciencia de la Computaciónapplication/pdfaudio/mpegtext/htmlapplication/epub+ziphttps://revistas.uni.edu.pe/index.php/tecnia/article/view/56110.21754/tecnia.v29i1.561TECNIA; Vol. 29 No. 1 (2019); 42-47TECNIA; Vol. 29 Núm. 1 (2019); 42-472309-04130375-7765reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspahttps://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1021https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1041https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1081https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1082Derechos de autor 2019 TECNIAhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/5612025-05-15T19:31:57Z
dc.title.none.fl_str_mv DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
DruBot: Prototipo robótico para autenticación por comparación de proporciones faciales para el control de asistencia y detectar la suplantación en evaluaciones
title DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
spellingShingle DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
Yallico Arias, Tereza
Face Landmarks
Haar Cascade
Distancia Euclidiana
Autenticación
Visión Artificial
Face Landmarks
Haar Cascade,
Euclidean Distance
Authentication
Computational Vision
title_short DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
title_full DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
title_fullStr DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
title_full_unstemmed DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
title_sort DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations
dc.creator.none.fl_str_mv Yallico Arias, Tereza
Huisacayna Cutipa, Abigail
Ale Ale, Neisser
Calderón Niquin, Marks
author Yallico Arias, Tereza
author_facet Yallico Arias, Tereza
Huisacayna Cutipa, Abigail
Ale Ale, Neisser
Calderón Niquin, Marks
author_role author
author2 Huisacayna Cutipa, Abigail
Ale Ale, Neisser
Calderón Niquin, Marks
author2_role author
author
author
dc.subject.none.fl_str_mv Face Landmarks
Haar Cascade
Distancia Euclidiana
Autenticación
Visión Artificial
Face Landmarks
Haar Cascade,
Euclidean Distance
Authentication
Computational Vision
topic Face Landmarks
Haar Cascade
Distancia Euclidiana
Autenticación
Visión Artificial
Face Landmarks
Haar Cascade,
Euclidean Distance
Authentication
Computational Vision
description The work ‘DruBot: Robotic prototype for authentication and comparison of facial proportions for assistance control and impersonation detection in evaluations’ describes the development of the robotic prototype called DruBot that seeks to recognize the faces of the persons who join to a classroom specific, a private area or an examination, comparing them with a database for each case (to distinguish them from the characteristics extracted from the photo of the university identification and the frames obtained of the video of welcome of every student) and to determine if the image of the person which camera is capturing has or hasn’t access to the area, issuing a different sign if his or her access is allowed or not. We apply technologies of artificial vision (Haar cascade for the detection of faces in the whole image captured by camera in real time and Face Landmarks to find the key points of human detected face, to calculate his proportions with Euclidean distances and to compare for the recognition of every person in specific) and serial communication with electronic devices so that the presents notice when there is an intruder or when the student has been recognized well and register his or her assistance.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Computing and Computer Science
Informática y Ciencia de la Computación
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/561
10.21754/tecnia.v29i1.561
url https://revistas.uni.edu.pe/index.php/tecnia/article/view/561
identifier_str_mv 10.21754/tecnia.v29i1.561
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1021
https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1041
https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1081
https://revistas.uni.edu.pe/index.php/tecnia/article/view/561/1082
dc.rights.none.fl_str_mv Derechos de autor 2019 TECNIA
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2019 TECNIA
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
text/html
application/epub+zip
dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv TECNIA; Vol. 29 No. 1 (2019); 42-47
TECNIA; Vol. 29 Núm. 1 (2019); 42-47
2309-0413
0375-7765
reponame:Revistas - Universidad Nacional de Ingeniería
instname:Universidad Nacional de Ingeniería
instacron:UNI
instname_str Universidad Nacional de Ingeniería
instacron_str UNI
institution UNI
reponame_str Revistas - Universidad Nacional de Ingeniería
collection Revistas - Universidad Nacional de Ingeniería
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.7211075
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