| dc.contributor.author | Ozbaysar, E. and Borandag, E. | |
| dc.date.accessioned | 2020-07-02T06:08:08Z | |
| dc.date.available | 2020-07-02T06:08:08Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | cited By 1 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050816245&doi=10.1109%2fSIU.2018.8404648&partnerID=40&md5=f380f06026bf75017fa9a4e6bf44fbd1 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12481/11488 | |
| dc.description.abstract | Image processing field has been improved thanks to various technology in recent years. One of them is a very significant program OpenCv technology. OpenCv is an open source coded independent image processing library and can work on multiple free platforms. On the other hand, expect for image processing technology through Internet of Things (IOT) along with Industry 4.0. had very huge development in this field. There are hundreds of different devices which were developed for this area. One of these devices is the Raspberry PI tool. In this study, a platform for vehicle license plate tracking system which uses embedded system was developed. It has been aimed at making push notification for relevant units by comparing an image with image processing algorithm by means of camera, screen and GPRS modul which were added on this developed system, Raspberry PI, with the current notifications. © 2018 IEEE. | |
| dc.language.iso | Turkish | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.title | Vehicle plate tracking system [Araç plaka takip sistemi] | |
| dc.type | Conference Paper | |
| dc.contributor.department | Software Engineering Department, Manisa Celal Bayar University, Manisa, Turkey | |
| dc.identifier.DOI-ID | 10.1109/SIU.2018.8404648 | |
| dc.identifier.pages | 1-4 | |
