The rapid spread of the coronavirus has been a major health concern for the entire world. Direct human contact is one of the key factors contributing to the virus's rapid transmission. Wearing face masks in public areas is one of the numerous precautions that may be taken to stop the spread of this infection. To reduce the chance of the virus spreading, it is important to find ways to detect face masks in public locations. An automated system for face mask detection utilizing deep learning algorithm has been presented to address these issues and effectively stop the spread of this contagious disease. The proposed method combines a face mask identification model and a glass detection model using an algorithm to assess the results using deep learning models.