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@article{152289,
        author = {Shantanu Mishra and Saurabh Singh and Shubham Singh and Suraj Rasal},
        title = {Real-Time Face Mask Detection Using Python},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {812-816},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152289},
        abstract = {The topic that we have selected is called Face Mask Detector using Python OpenCV, tensor flow and deep learning. This means that we have developed software that would detect masks on a person or people in a video or image, it would tell them whether that they are wearing a mask or not. This particular project is achieved in two phases, where phase 1 would be to train the face mask detector and phase 2 would be to apply or deploy the face mask detection Software. In phase 1 of the project, our main focus would be to create a training model using datasets, where datasets consist of a huge number of images of people with face masks and people without a face mask. In phase 2 we would load the trained model and then detect the face and then categorize the face as to whether there is any mask or no mask on that. We see that Our Model build in Python Programming Language can detect the mask on faces once tested using video output.},
        keywords = {Python, Face Mask, Convolutional Neural Network, Data Augmentation, Fine-tuning, MobileNetV2.},
        month = {},
        }