Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries

dc.contributor.authorKhalaf, Rayan
dc.contributor.authorAkbulut, Yaman
dc.date.accessioned2026-08-12T15:58:38Z
dc.date.issued2021
dc.departmentFırat Üniversitesi
dc.description.abstractThe continuous development that the world is on must be pursued into human services, among these services provided by the modern world are the ability to detect faces, controlling and monitoring crowded places, the roads, auto-drive cars, and other smart systems that we can see through our daily life, these systems are known as object detection systems. This branch is getting development continuously and it gets big attention and support from international institutes, military institutions, and security companies. Object detection is a big branch and is used in many industries like medical, food production, plastic industries, controlling and monitoring roads, and more. In this paper we will explain information about object detection, its types, the YOLO algorithm, and a small idea that we made for controlling and monitoring arms showed by monitoring cameras or images that contain arms, we made it using the YOLO algorithm with the help of OpenCV and python libraries.
dc.identifier.endpage136
dc.identifier.issn1308-9099
dc.identifier.issue1
dc.identifier.startpage129
dc.identifier.trdizinid1273818
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1273818
dc.identifier.urihttps://hdl.handle.net/11508/40247
dc.identifier.volume16
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTurkish Journal of Science & Technology
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK//
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_TR-Dizin_20260511
dc.subjectMonitoring
dc.subjectobject detection
dc.subjectdigital
dc.subjectYOLO
dc.subjectarms detection
dc.titleSmart Arms Detection System Using YOLO Algorithm and OpenCV Libraries
dc.typeArticle

Dosyalar