ABSTRACT
Currently, the world is experiencing a serious medical crisis as a result of the Corona virus COVID-19, which now has swept the globe. For several countries, combating this disease outbreak has become an unfortunate reality. Wearing a face mask when going outside or meeting with others is essential for prevention. Some irresponsible people, on the other hand, refuse to wear face masks for a variety of reasons. The development of the face mask detector too is critical in this case. To address this problem, a reliable face mask detector must be created. A face mask can be detected using the object detection algorithm. The mask detection algorithm used to detect the face mask was Haar Cascade in OpenCV from Python. According to the results of the experiments, this device can detect whether or not someone is wearing a face mask and can also measure body temperature. Once these validations are completed automatically door gets opened and sanitization is done. © 2022 IEEE.