After the breakout of the worldwide pandemic COVID-19, face mask has been the most important and basic safety precaution need in the whole world. The main aim of the project is to detect the presence of a face mask on human faces on live video streaming. This will check individual wearing masks in door entry/ supermarket to let them in any department store/office/school or anu public places. This will reduce the risk of spreading virus at public places and make all people safe and cautious. YOLO (algorithm is used as base algorithm object (Mask) detection. Python along with its libraries like Keras, Tensorflow and OpenCV and deeplearning will be used to build this project. OpenCV is used to detect the face and Keras and Tensorflow is used to train the dataset of the faces before and after wearing mask of different types. Dataset contains different types and color of masks which will be providing more accuracy to the system output.