Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19
Yükleniyor...
Dosyalar
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this work, an artificial intelligence network-based smart camera system prototype, which tracks
social distance using a bird’s-eye perspective, has been developed. ‘‘MobileNet SSD-v3’’, ‘‘Faster-RCNN Inception-v2’’, ‘‘Faster-R-CNN ResNet-50’’ models have been utilized to identify people in video
sequences. The final prototype based on the Faster R-CNN model is an integrated embedded system
that detects social distance with the camera. The software developed using the ‘‘Nvidia Jetson Nano’’
development kit and Raspberry Pi camera module calculates all necessary actions in itself, detects
social distance violations, makes audible and light warnings, and reports the results to the server. It
is predicted that the developed smart camera prototype can be integrated into public spaces within
the ‘‘sustainable smart cities,’’ the scope that the world is on the verge of a change
Açıklama
Scientific and Technological Re-search Council of Turkey (TuBTAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))
Anahtar Kelimeler
Corona Virus (COVID-19), Deep Learning, Convolutional Neural Network (CNN), Computer Vision, Coronavirus, Wuhan
Kaynak
Applied Soft Computing
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
110
Sayı
Künye
Karaman, O., Alhudhaif, A., & Polat, K. (2021). Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19. Applied Soft Computing, 110, 107610.
