Close
Metadata

Identity statement area
Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3S3HS78
Repositorysid.inpe.br/sibgrapi/2018/10.18.14.43
Last Update2018:10.18.14.43.47 daniel.ferreira.costa@hotmail.com
Metadatasid.inpe.br/sibgrapi/2018/10.18.14.43.47
Metadata Last Update2020:02.20.22.06.50 administrator
Citation KeyCosta:2018:FeAuDe
TitleADVIR: Ferramenta para Auxilio de Deficientes
FormatOn-line
Year2018
DateOct. 29 - Nov. 1, 2018
Access Date2020, Dec. 04
Number of Files1
Size2754 KiB
Context area
AuthorCosta, Daniel Ferreira
AffiliationAnderson Souza
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressdaniel.ferreira.costa@hotmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
History2018-10-18 14:43:47 :: daniel.ferreira.costa@hotmail.com -> administrator ::
2020-02-20 22:06:50 :: administrator -> :: 2018
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Document Stagenot transferred
Transferable1
Tertiary TypeUndergraduate Work
KeywordsDeficientes visuais, Identificação de remédios, Ferramenta de auxilio.
AbstractNowadays, the personal and social autonomy of people have become a problem of society. It is important to provide tools for assisting people in order to enable them to be independent, especially for daily activities. ADVIR is a tool developed for helping visually impaired people in drug identification. The main idea is to point a camera device (such as a smartphone camera) to the box of a drug in order to identify it and know, by sound signals, information about its composition and its use. For this, computational vision algorithms were used to identify features ORB in the drug box and to perform matching with previously stored patterns. Preliminary experiments were performed to prove the feasibility of the system.
source Directory Contentthere are no files
agreement Directory Content
agreement.html 18/10/2018 11:43 1.2 KiB 
Conditions of access and use area
Languagept
Target Filesibigrapi-2018.pdf
User Groupdaniel.ferreira.costa@hotmail.com
Visibilityshown
Allied materials area
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

Close