Covid-19'u Önlemek İçin Termal Değeri Ölçerek Yüz Tespiti

Year 2022, Issue: 36, 191 - 196, 31.05.2022

Kubilay Tuna , Bayram Akdemir

https://doi.org/10.31590/ejosat.1113302

Abstract

Bu çalışmada, Covid-19 nedeniyle enfekte olmuş kişilerin yüzlerini tespit etmek için özel Single Shot Detection (SSD) modeli kullanıldı. Tespit edilen bu yüzler üzerinde Ensemble of Regresyon Trees (ERT) modeliyle yüz işaret noktaları belirlenerek kişinin vücut sıcaklığının en doğru olduğu göz çevresinin tespit edilmesi önerilmiştir. Son olarak, termal değer, sensör füzyonu kullanılarak temassız bir şekilde göz çevresinden ölçülmüştür. Yapılan analizler sonucunda önerilen sistemin farklı ölçüm yöntemlerine yakın sonuçlar verdiği gözlemlenmiştir.

Keywords

SSD, Yüz İşaret Noktaları, ERT, temassız, Sensör Füzyonu, Covid-19

Thanks

Değerli desteklerinden dolayı Dr. Bayram Akdemir'e teşekkür etmek istiyorum.

Face Detection by Measuring Thermal Value to Avoid Covid-19

Abstract

In this study, custom Single Shot Detection (SSD) was used to detect infected people faces because of Covid-19. It has been suggested to determine around the eyes area where the body temperature of the person most accurate by determining the facial landmarks with Ensemble of Regression Trees (ERT) model on these detected faces. Finally, the thermal value was measured from around the eyes area in a non-contact way using sensor fusion. As a result of the analyzes made, it was observed that the proposed system gave results close to the different measurement methods

Keywords

SSD, Facial Landmark, ERT, Non-contact, Sensor Fusion, Covid-19

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