REST API Based Image Processing Interactive Person Tracking Application

Basit Öğe Kaydı
dc.contributor.authorBalga, Mevlut Kagan
dc.contributor.authorBasciftci, Fatih
dc.date.accessioned2020-03-26T19:42:30Z
dc.date.available2020-03-26T19:42:30Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEYen_US
dc.description.abstractIn today's conditions, parents have to work for home economics. For this reason, it is not always possible for parents to meet their children's needs, to protect them from dangers and to help them. Parents agree with a fee-paying caregiver to ensure that their children's needs are provided. Looking after a child by a caregiver can create a variety of security problems for the mother and the father. In addition, because of the child's development levels, there is always the possibility of encountering an extreme situation everywhere. This project has been developed for observing Alzheimer's patients as well as children. Alzheimer's disease is a disorder of phases. The individual with this disorder is in need of care after a certain level. For this reason, observation of the individuals with this disease and their caregivers is also important for safety. In this completed project, Raspberry Pi microcomputer has been used. A camera has been placed on the chest line. An image is taken every 5 minutes by the camera. This image is transferred to the REST API based web service. In addition, facial analysis has been performed on the photographs using image processing techniques. The faces found have been stored in a separate directory on the REST API based web service. The SIM808 GSM / GPS module has been used to enable the system to be active everywhere. Family members can follow the images transferred by the module with the help of the user panel in the web service.en_US
dc.description.sponsorshipIEEE Adv Technol Human, Istanbul Teknik Univ, Gazi Univ, Atilim Univ, TBV, Akdeniz Univ, Tmmob Bilgisayar Muhendisleri Odasien_US
dc.identifier.endpage27en_US
dc.identifier.isbn978-1-5386-0930-9
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage22en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35440
dc.identifier.wosWOS:000426856900005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRaspberry Pien_US
dc.subjectcameraen_US
dc.subjectapplication programming interfaceen_US
dc.subjectimage processingen_US
dc.subjectattendant careen_US
dc.titleREST API Based Image Processing Interactive Person Tracking Applicationen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu