Research Article
COVID-19 PANDEMİ SÜRECİNDE ÇOCUKLARIN EL YIKAMA ALIŞKANLIĞININ NESNELERİN İNTERNETİ TABANLI SİSTEM İLE İZLENMESİ
Abstract
2019 yılı aralık ayında başlayan ve tüm dünyayı etkisi altısına alan yeni koronavirüs salgını hız kesmeden insanlığı etkilemeye devam ediyor. Etkili bir tedavinin olmadığı ve herkesin aşılanma imkânının bulunmadığı şu durumda hastalıktan korunmak için en etkili yöntemler; sosyal mesafeye, maske kullanımına ve kişisel hijyene dikkat etmektir. Ne yazık ki küçük çocukların bu önlemlere tek başlarına dikkat etmeleri kimi zaman mümkün olmamaktadır. Bu bağlamda, geliştirilen bu çalışmada küçük çocukların dış ortamdan eve geldiklerinde ellerini yıkayıp yıkamadıklarının takibini yapan nesnelerin interneti tabanlı bir sistem tasarımı sunulmuştur. Kapı girişine yerleştirilen kameralı IoT düğümü sayesinde eve giren çocuğun kimlik tespiti yapılmakta ve bu durum bulut veritabanına yazılmaktadır. Ardından lavabonun bulunduğu yere yerleştirilen ikinci bir IoT düğümü ile çocuğun lavaboya geldiğinde önce kimlik tespiti yapılmakta ardından el yıkama işlemini gerçekleştirip gerçekleştirmediği el tanıma ve ses tanıma fonksiyonları ile tespit edilmektedir. El yıkama gerçekleştirilmediği durumda ise ebeveyne gerekli uyarı maili gönderilmektedir.
Keywords
References
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Year 2021,
Volume: 3 Issue: 2, 161 - 168, 30.10.2021
Abstract
References
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- N. Dalal and B. Triggs, Histograms of oriented gradients for human detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, pp. 886-893 vol. 1.
- Deshpande, A., Garje, S., Pramanick, M., Facial Recognition based Attendance System with LBPH, International Research Journal of Engineering and Technology (IRJET), 2020, 7(3), 2654–2658.
- Schroff, F., Kalenichenko, D., & Philbin, J. (2015). FaceNet: A unified embedding for face recognition and clustering. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 07-12-June-2015, 815–823.
- Lugaresi, C., Tang, J., Nash, H., McClanahan, C., Uboweja, E., Hays, M., Zhang, F., Chang, C. L., Yong, M. G., Lee, J., Chang, W. T., Hua, W., Georg, M., & Grundmann, M. (2019). MediaPipe: A framework for building perception pipelines. ArXiv.
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There are 21 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Electrical Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | October 30, 2021 |
| Published in Issue | Year 2021 Volume: 3 Issue: 2 |
