Gerçek Zamanlı Sürücü Yorgunluk Tespit Sistemi

Year 2018, Volume: 30 Issue: 3, 249 - 259, 30.09.2018

Revna Acar Vural Mustafa Yiğit Sert Büşra Karaköse

https://doi.org/10.7240/marufbd.417915

Cited By: 1

Abstract

Bu çalışmada,
görüntü işleme tabanlı sürücü yorgunluk tespit sistemi ile yorgunluk ve
uykusuzluğun yol açtığı trafik kazalarının önüne geçilmesi amaçlanmıştır.
Geliştirilen sistem, farklı aydınlık seviyelerde sürücünün göz hareketlerini
kameradan anlık olarak izlemekte, analiz etmekte ve gerekli durumda alarm
vermektedir. Yorgunluk tespiti yapılırken PERCLOS (Percentage of Eye Closure)
metriği kullanılmıştır. PERCLOS metriği tespit edilen gözlerin eşik değerler
baz alınarak çevrilmiş binary görüntülerindeki piksel sayımı yapılıp ardından
önceden hesaplanmış averaj değeri ile kıyaslanması sonucu gözlerin kapalı veya
açık olduğuna karar verilmesi işlemlerine dayanmaktadır. Sürücüde yorgunluk
tespiti yapıldığı anda Raspberry Pi 3 gömülü sistemi üzerinden alarm sisteminin
devreye girmesi ve kablosuz haberleşme yardımı ile önceden belirlenmiş bir
hesaba durum hakkında görüntülü ve yazılı bildirim yapılması sağlanmıştır. 

Keywords

Görüntü İşleme, Göz Tespiti, PERCLOS, Gömülü Sistem

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