Image recognition for x-ray luggage scanners using free and open source software

Autores
Lázaro, Pablo; Maiorano, Ariel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper describes the status of a currently ongoing research and development project that proposes the implementation of a system to be connected to x-ray luggage scanning equipment used by the Airport Security Police (Policía de Seguridad Aeroportuaria, PSA), having as main objective to automatically recognize images obtained in real time from the scanners to alert the x-ray machine operators or screeners about those identified as threats (explosive devices, firearms, etc.) Technical instructions and source code of a web-service and auxiliary scripts developed for the evaluations were published on github in order to enable interested researchers, developers and other potential contributors to repeat or reproduce the training and testing summarized in this paper with freely available image data-sets.
Eje: XVIII Workshop de Agentes y Sistemas Inteligentes (WASI).
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
luggage control
explosive detection
firearms detection
TensorFlow library.
Computer vision
Rayos X
Seguridad
Aeropuertos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/63489
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/63489
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Image recognition for x-ray luggage scanners using free and open source softwareLázaro, PabloMaiorano, ArielCiencias Informáticasluggage controlexplosive detectionfirearms detectionTensorFlow library.Computer visionRayos XSeguridadAeropuertosThis paper describes the status of a currently ongoing research and development project that proposes the implementation of a system to be connected to x-ray luggage scanning equipment used by the Airport Security Police (Policía de Seguridad Aeroportuaria, PSA), having as main objective to automatically recognize images obtained in real time from the scanners to alert the x-ray machine operators or screeners about those identified as threats (explosive devices, firearms, etc.) Technical instructions and source code of a web-service and auxiliary scripts developed for the evaluations were published on github in order to enable interested researchers, developers and other potential contributors to repeat or reproduce the training and testing summarized in this paper with freely available image data-sets.Eje: XVIII Workshop de Agentes y Sistemas Inteligentes (WASI).Red de Universidades con Carreras en Informática (RedUNCI)2017-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf83-92http://sedici.unlp.edu.ar/handle/10915/63489enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1539-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-05T12:48:22Zoai:sedici.unlp.edu.ar:10915/63489Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-05 12:48:22.489SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Image recognition for x-ray luggage scanners using free and open source software
title Image recognition for x-ray luggage scanners using free and open source software
spellingShingle Image recognition for x-ray luggage scanners using free and open source software
Lázaro, Pablo
Ciencias Informáticas
luggage control
explosive detection
firearms detection
TensorFlow library.
Computer vision
Rayos X
Seguridad
Aeropuertos
title_short Image recognition for x-ray luggage scanners using free and open source software
title_full Image recognition for x-ray luggage scanners using free and open source software
title_fullStr Image recognition for x-ray luggage scanners using free and open source software
title_full_unstemmed Image recognition for x-ray luggage scanners using free and open source software
title_sort Image recognition for x-ray luggage scanners using free and open source software
dc.creator.none.fl_str_mv Lázaro, Pablo
Maiorano, Ariel
author Lázaro, Pablo
author_facet Lázaro, Pablo
Maiorano, Ariel
author_role author
author2 Maiorano, Ariel
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
luggage control
explosive detection
firearms detection
TensorFlow library.
Computer vision
Rayos X
Seguridad
Aeropuertos
topic Ciencias Informáticas
luggage control
explosive detection
firearms detection
TensorFlow library.
Computer vision
Rayos X
Seguridad
Aeropuertos
dc.description.none.fl_txt_mv This paper describes the status of a currently ongoing research and development project that proposes the implementation of a system to be connected to x-ray luggage scanning equipment used by the Airport Security Police (Policía de Seguridad Aeroportuaria, PSA), having as main objective to automatically recognize images obtained in real time from the scanners to alert the x-ray machine operators or screeners about those identified as threats (explosive devices, firearms, etc.) Technical instructions and source code of a web-service and auxiliary scripts developed for the evaluations were published on github in order to enable interested researchers, developers and other potential contributors to repeat or reproduce the training and testing summarized in this paper with freely available image data-sets.
Eje: XVIII Workshop de Agentes y Sistemas Inteligentes (WASI).
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper describes the status of a currently ongoing research and development project that proposes the implementation of a system to be connected to x-ray luggage scanning equipment used by the Airport Security Police (Policía de Seguridad Aeroportuaria, PSA), having as main objective to automatically recognize images obtained in real time from the scanners to alert the x-ray machine operators or screeners about those identified as threats (explosive devices, firearms, etc.) Technical instructions and source code of a web-service and auxiliary scripts developed for the evaluations were published on github in order to enable interested researchers, developers and other potential contributors to repeat or reproduce the training and testing summarized in this paper with freely available image data-sets.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/63489
url http://sedici.unlp.edu.ar/handle/10915/63489
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1539-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
83-92
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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