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10.1016/j.scs.2020.102692 http://scihub22266oqcxt.onion/10.1016/j.scs.2020.102692 33425664!7775036!33425664     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sustain+Cities+Soc 2021 ; 66 (ä): 102692 Nephropedia Template TP {{tp|p=33425664|t=2021. SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2 |pdf=|usr=}}{{33425664}} gab.com Text SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2 JO: Sustain Cities Soc http://www.kidney.de/pget.php?&tw=1&pmid=33425664 #FOAvip Face mask detection had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have been created using several algorithms and techniques. The proposed approach in this paper uses deep learning, TensorFlow, Keras, and OpenCV to detect face masks. This model can be used for safety purposes since it is very resource efficient to deploy. The SSDMNV2 approach uses Single Shot Multibox Detector as a face detector and MobilenetV2 architecture as a framework for the classifier, which is very lightweight and can even be used in embedded devices (like NVIDIA Jetson Nano, Raspberry pi) to perform real-time mask detection. The technique deployed in this paper gives us an accuracy score of 0.9264 and an F1 score of 0.93. The dataset provided in this paper, was collected from various sources, can be used by other researchers for further advanced models such as those of face recognition, facial landmarks, and facial part detection process. Twit Text FOAVip SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2 ????Sustain Cities Soc http://www.kidney.de/pget.php?&tw=1&pmid=33425664 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33425664 #FOAvip English Wikipedia <ref>{{Cite pmid|33425664}}</ref> SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2 #MMPMID33425664 Nagrath P; Jain R; Madan A; Arora R; Kataria P; Hemanth J Sustain Cities Soc 2021[Mar]; 66 (ä): 102692 PMID33425664show ga Face mask detection had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have been created using several algorithms and techniques. The proposed approach in this paper uses deep learning, TensorFlow, Keras, and OpenCV to detect face masks. This model can be used for safety purposes since it is very resource efficient to deploy. The SSDMNV2 approach uses Single Shot Multibox Detector as a face detector and MobilenetV2 architecture as a framework for the classifier, which is very lightweight and can even be used in embedded devices (like NVIDIA Jetson Nano, Raspberry pi) to perform real-time mask detection. The technique deployed in this paper gives us an accuracy score of 0.9264 and an F1 score of 0.93. The dataset provided in this paper, was collected from various sources, can be used by other researchers for further advanced models such as those of face recognition, facial landmarks, and facial part detection process. äSSDMNV2: A real time DNN-based face mask detection system using single(epmc).pdf DeepDyve Pubget Overpricing