Face Mask Detection System

In the current pandemic situation world-wide, wearing a face mask is a mandatory in order to stay safe. As the country starts going through various stages of unlocking the social restrictions, face masks have become an important element of our daily lives to stay safe. Wearing face masks is a must in order to socialize or conduct business. Face Mask Detection� is an application that detects a human's facial region and identifies whether he/she is wearing a mask or not. So, this system utilizes a camera to detect if a person is wearing a mask or not. If they are found not wearing a mask, it will emit a warning buzzer so that they get alerted to wear a mask, else send a SMS to notify that person to wear a mask as he/she is in public. This project is built using python, fast2sms messaging API and face_recgonition library. The project is built in 3 modules. The first module is mainly used for training the machine to detect facial features and to recognize faces who are not wearing masks properly. The second module acts as a temporary database from which the daily report is generated at the end of the day. The final module takes the uses the recognized face's name and phone number to generate and send a SMS alert to the concerned person. The outcome of the project helps the organization to identify people without mask and give warning accordingly. The project is tested for the various ways in which the mask can be worn. All the modules are tested and the project is implemented successfully.