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dc.date.accessioned 2017-11-10T17:50:26Z
dc.date.available 2017-11-10T17:50:26Z
dc.date.issued 2017-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/63489
dc.description.abstract 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. en
dc.format.extent 83-92 es
dc.language en es
dc.subject luggage control en
dc.subject Computer vision es
dc.subject Rayos X es
dc.subject explosive detection en
dc.subject Seguridad es
dc.subject firearms detection en
dc.subject Aeropuertos es
dc.subject TensorFlow library. en
dc.title Image recognition for x-ray luggage scanners using free and open source software en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1539-9 es
sedici.creator.person Lázaro, Pablo es
sedici.creator.person Maiorano, Ariel es
sedici.description.note Eje: XVIII Workshop de Agentes y Sistemas Inteligentes (WASI). es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-10
sedici.relation.event XXIII Congreso Argentino de Ciencias de la Computación (La Plata, 2017). es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)