Social Distancing and Face Mask Detection 😷

😷C O V I D - 1 9 A L E R T!🙏

Developed By:

👉 [Shantanu Gupta] Portfolio GitHub LinkedIN

About--

Social Distancing and Face Mask Detection Platform utilizes Artificial Network to perceive if a person walk with maintain social distance and does/doesn’t wear a mask as well. The application can be associated with any current or new IP cameras to identify individuals maintaining social distance with/without a mask. 😷

System Requirement -- 🖥️

SOFTWARE--
- Software: Anaconda + Python 3.x (3.8 or earlier)
- Editor: VS Code/ PyCharm/ Sublime/ Spyder
- Environment: TensorFlow
- GPU Drivers:    Nvidia® CUDA® 11.0 requires 450.x or above
                                 CUDA® Toolkit (TensorFlow >= 2.4.0)
                                 cuDNN SDK 8.0.4 (TensorFlow >= 2.4.0)

HARDWARE--
- GPU: Graphics Processor (NVIDIA) ̶min 2GB
- Camera: CCTV/ Webcam/ Mobile Camera (Sharing Camera)
- Storage Disk (Optional): SSD – Min 400MB/s Read Speed

Installation Process--

Download Anaconda Software --

	Operating System	Download Link
👉	Windows	click here
👉	Mac	click here
👉	Linux	click here

📢 During Installation be sure to check to set Environmental variable path

Create new Environment for the installation of libraries:
- Open Command Prompt / Anaconda Prompt and type conda create --name tf_python
  you can set any name in place of tf_python to create a new envionment. and after type y and enter.
- Install all required Libraries given in requirement.txt by using command pip install -r requirement.txt

Required Libraries--

File Required to Download --

DATASETS :
Using datasets to train the model for Face Mask Detection model. To download the dataset -- 👉 Click here :point_left: (Dataset with 4,000 Images Sampels) :star2:File contain 2 Sub-Folder i.e. With_mask & Without_mask (each folder contain 2k samples of images).

This is a balanced dataset containing faces with and without masks with a mean height of 283.68 and mean width of 278.77

Yolo Weights (V3) -- Pre-Trained model:
YOLO (You Only Live Once), the pre-trained weights of the neural network are stored in yolov3.weights Download the Weight File 👉 Click here 👈