Covid-19 Detecting and Health Service Providing System Using Convolutional Neural Network Model and Image Processing Techniques

COVID-19 pandemic caused by novel coronavirus is ceaselessly spreading so far everywhere the planet. The impact of COVID-19 has been fallen on the majority sectors of development. The care system goes through a crisis. several preventative measures are taken to cut back the unfold of this malady wherever sporting a mask is one in all them. during this paper, we tend to propose a system that limit the expansion of COVID-19 by sorting out people that aren't sporting any facial mask during a good town network wherever all the general public places ar monitored with television (CCTV) cameras. whereas an individual while not a mask is detected, the corresponding authority is conversant through town network. A deep learning design is trained on a dataset that consists of pictures of individuals with and while not masks collected from numerous sources. The trained design achieved ninety eight.7% accuracy on identifying folks with and while not a facial mask for antecedently unseen check information. it's hoped that our study would be a useful gizmo to cut back the unfold of this disease for several countries within the world.