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Publicação:
ALO: AI for Least Observed People

dc.contributor.authorMamun, Shamim Al
dc.contributor.authorDaud, Mohammad Eusuf
dc.contributor.authorMahmud, Mufti
dc.contributor.authorKaiser, M. Shamim
dc.contributor.authorRossi, Andre Luis Debiaso [UNESP]
dc.contributor.institutionJahangirngar University
dc.contributor.institutionMinistry of finance
dc.contributor.institutionUniversity of Nottingham
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:43:43Z
dc.date.available2022-04-28T19:43:43Z
dc.date.issued2021-01-01
dc.description.abstractIn recent years, visual assistants of humans are taking place in the consumer market–the eye-line of humans equipped with a see-through optical display. Computer Vision Technology may play a vital role in visually challenged people to carry out their daily activities without much dependency on others. In this paper, we introduce ALO (AI for Least Observed) as an assistive glass for blind people. It can listen as a companion, read from the internet on the fly, detect surrounding objects and obstacles for freedom of movement, and recognize the faces he is communicating with. This glass can be a virtual companion of the users for social safety from unknown people, reduce the dependency of others. This system uses the camera for identifying human faces using MTCNN deep learning technique, bone conduction microphone, and google API (Application Programming Interface) for translating voice to text and text to bone conduction sound. A Market Valuable Product (MVP) has already been developed depending on our survey of over 300 visually impaired persons in Europe and Asia.en
dc.description.affiliationInstitute of Information Technology Jahangirngar University
dc.description.affiliationConsultant Ministry of finance
dc.description.affiliationUniversity of Nottingham
dc.description.affiliationUniversidade Estadual Paulista
dc.description.affiliationUnespUniversidade Estadual Paulista
dc.format.extent306-317
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-82269-9_24
dc.identifier.citationCommunications in Computer and Information Science, v. 1435, p. 306-317.
dc.identifier.doi10.1007/978-3-030-82269-9_24
dc.identifier.issn1865-0937
dc.identifier.issn1865-0929
dc.identifier.scopus2-s2.0-85113575810
dc.identifier.urihttp://hdl.handle.net/11449/222288
dc.language.isoeng
dc.relation.ispartofCommunications in Computer and Information Science
dc.sourceScopus
dc.subjectBlind vision
dc.subjectFace recognition
dc.subjectObject detection
dc.subjectSmart glass
dc.titleALO: AI for Least Observed Peopleen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.author.orcid0000-0002-2017-7087[1]

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