COVID-19 pandemic caused by novel corona virus is spreading until now all over the world. The impact of COVID-19 has been fallen on all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of corona virus where wearing a mask is one of them. In this paper, we propose a system that restrict the spreading of COVID-19 by finding people who are not wearing facial mask in a smart city network where all the public places are monitored with cameras and also detecting the age and temperature of the persons who are entering in public places like malls, restaurants, etc.. While a person without mask is detected, the corresponding authority is informed through the proposed system. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and MobileNet. It is hoped that our study would be a useful tool to reduce the spreading of this disease for many countries in the world.