Real-Time Implementation of AI-Based Face Mask Detection and Social Distancing Measuring System for COVID-19 Prevention

Table 1

Comparison of different coronavirus detection methods.

Ref	Model used	Image type	Accuracy (%)	Advantages	Disadvantages
[13]	CNN-based model	Chest X-ray	91.34	A simple but effective CNN model for the detection of COVID-19	A limited number of images available
[18]	DarkCovidNet	Chest X-ray	87.02	Able to perform binary and multiclass tasks can be used to diagnose other chest-related diseases including tuberculosis and pneumonia
[19]	COVIDX-Net	Chest X-ray	93.3	An open source and accessible to general public
[20]	Self-developed model (CTnet-10)	CT	82.1	All the automatic diagnosis presented previously can be used by doctors as an efficient and quite method for coronavirus disease screening
	VGG-16		89
	ResNet-50		60
	InceptionV3		53.4
	VGG-19		94.52
	DenseNet-169		93.15
[21]	CNN modality	CT	99	The proposed modalities can be considered in an efficient diagnosis system for the detection of COVID-19 and other relevant infections	The proposed modalities achieve poor performance in some cases especially for the ConvLSTM modality due to the dependency on the previous states in the structure of the ConvLSTM modality
		Augmented dataset A	99
		Augmented dataset B	100
		Radiography X-ray	95
		Combined dataset (CT scan and X-ray)	99
	ConvLSTM	CT	99
		Augmented dataset A	100
		Augmented dataset B	99
		Radiography X-ray	88
		Combined dataset (CT scan and X-ray)	99