This repository contains the code and resources for a real-time face mask detection and warning system. The project utilizes computer vision techniques and deep learning models to detect whether a person is wearing a face mask or not. Additionally, it includes an alert system by BrainPad Pulse microcomputer to notify individuals not wearing masks, promoting safety measures in public spaces.
- Face Detection: It employs a pre-trained deep learning model for detecting faces in images. The face detection model used in this code is based on the Single Shot MultiBox Detector (SSD) framework with a MobileNetV2 architecture.
- Mask Detection: After detecting faces, the code uses another pre-trained deep learning model to classify whether each detected face is wearing a mask or not. This mask detection model is loaded using Keras and has been previously trained on a dataset containing images of people with and without masks.
- Deep Neural Networks (DNN): Both the face detection and mask detection models are deep neural networks (DNNs) trained on large datasets to perform their respective tasks.
- Image Preprocessing: Before passing images to the mask detection model, the code preprocesses them by resizing and applying other transformations to ensure compatibility with the model's input requirements.
- Real-time Video Processing: The code continuously captures frames from a video stream, processes them using the face and mask detection models, and displays the results in real-time.
- Feedback via Hardware Interaction: The code integrates with the BrainPad hardware controller to provide feedback when a person is detected without wearing a mask. It toggles the LED and displays a message on the BrainPad's display to prompt the person to wear a mask.
- Clone this repository: git clone https://github.com/ShahinHussein/FaceMaskDetection
- Install required Python libraries:
pip install numpy opencv-python imutils tenserflow keras DUELink - Ensure your webcam is connected and functioning properly.
- Run the script:
python detect_mask_video.py - Face mask detection will start automatically, with real-time alert provided by BrainPad Pulse microcomputer visually and auditory.
- Webcam or video stream source
- BrainPad Pulse Microcomputer
Contributions to this project are welcome! Feel free to fork this repository, make improvements, and submit pull requests to enhance face mask detection capabilities or improve the alert system.
This project was inspired by the desire to test deep learning models and challenging projects using the BrainPad Pulse microcomputer with a USB camera. Special thanks to the developers of the GHI Electronics and BrainPad for providing amazing user-friendly educational microcomputers.