Swift Mask scans images or human faces in real time and detects whether the mask is worn or not, with the ability to set an audible alert.
To correctly compile the project it is necessary to have a TensorFlow Lite model (.tflite) containing the dataset of people wearing or not wearing a mask. It should be placed under /assets with the name of mask_detector
This application is based on the Image classification example by TensorFlow. This application adds the MLKit to implement face detection and a Material You based user interface.