The outspread of corona virus made us wear masks wherever we go. But, people are not taking the precaution of wearing masks and it's difficult to find people who are not wearing masks. The author build a mask recognition system based on an image classification model using a machine model. More than 400 photos of people wearing masks and without masks were used to train the model. This model can be implemented within the mall, Cinema Theater, colleges, and other crowded places camera system to detect who aren't wearing the mask in the real time. Most of the companies use a traditional ledger, Password, or Biometric based attendance system for employees, which involves contacts that are not recommended in this outrage of corona virus. To ensure safety the model was developed to recognize the unique faces based on the image classifier and it improves by learning everyday changes in the faces of the public.