Araştırma Makalesi

Face Detection by Measuring Thermal Value to Avoid Covid-19

Sayı: 36 31 Mayıs 2022
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Face Detection by Measuring Thermal Value to Avoid Covid-19

Öz

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

Anahtar Kelimeler

Teşekkür

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

Kaynakça

  1. Cai, Q., Huang, D., Ou, P., Yu, H., Zhu, Z., Xia, Z., ... & Chen, J. (2020). COVID‐19 in a designated infectious diseases hospital outside Hubei Province, China. Allergy, 75(7), 1742-1752.
  2. Ge, S., Li, J., Ye, Q., & Luo, Z. (2017). Detecting masked faces in the wild with lle-cnns. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2682-2690).
  3. Hays, J. N. (2005). Epidemics and pandemics: their impacts on human history. Abc-clio.
  4. Jiang, H., & Learned-Miller, E. (2017, May). Face detection with the faster R-CNN. In 2017 12th IEEE international conference on automatic face & gesture recognition (FG 2017) (pp. 650-657). IEEE.
  5. Kazemi, V., & Sullivan, J. (2014). One millisecond face alignment with an ensemble of regression trees. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1867-1874).
  6. Li, D., Menassa, C. C., & Kamat, V. R. (2018). Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography. Energy and Buildings, 176, 246-261.
  7. Li, H., Lin, Z., Shen, X., Brandt, J., & Hua, G. (2015). A convolutional neural network cascade for face detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 5325-5334).
  8. Liu, Z., Luo, P., Wang, X., & Tang, X. (2015). Deep learning face attributes in the wild. In Proceedings of the IEEE international conference on computer vision (pp. 3730-3738).

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Mayıs 2022

Gönderilme Tarihi

6 Mayıs 2022

Kabul Tarihi

9 Mayıs 2022

Yayımlandığı Sayı

Yıl 2022 Sayı: 36

Kaynak Göster

APA
Tuna, K., & Akdemir, B. (2022). Face Detection by Measuring Thermal Value to Avoid Covid-19. Avrupa Bilim ve Teknoloji Dergisi, 36, 191-196. https://doi.org/10.31590/ejosat.1113302
AMA
1.Tuna K, Akdemir B. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 2022;(36):191-196. doi:10.31590/ejosat.1113302
Chicago
Tuna, Kubilay, ve Bayram Akdemir. 2022. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi, sy 36: 191-96. https://doi.org/10.31590/ejosat.1113302.
EndNote
Tuna K, Akdemir B (01 Mayıs 2022) Face Detection by Measuring Thermal Value to Avoid Covid-19. Avrupa Bilim ve Teknoloji Dergisi 36 191–196.
IEEE
[1]K. Tuna ve B. Akdemir, “Face Detection by Measuring Thermal Value to Avoid Covid-19”, EJOSAT, sy 36, ss. 191–196, May. 2022, doi: 10.31590/ejosat.1113302.
ISNAD
Tuna, Kubilay - Akdemir, Bayram. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi. 36 (01 Mayıs 2022): 191-196. https://doi.org/10.31590/ejosat.1113302.
JAMA
1.Tuna K, Akdemir B. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 2022;:191–196.
MLA
Tuna, Kubilay, ve Bayram Akdemir. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi, sy 36, Mayıs 2022, ss. 191-6, doi:10.31590/ejosat.1113302.
Vancouver
1.Kubilay Tuna, Bayram Akdemir. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 01 Mayıs 2022;(36):191-6. doi:10.31590/ejosat.1113302