face-detection-using-OpenCV

The objective of the program given is to detect object of interest(face) in real time and to keep tracking of the same object with label using mobile camera.

Note: Please download android mobile app named IP Webcam. Then set your IP address shown in app to URL variable section.

OpenCV

• OpenCV is the most popular library for computer vision. Originally written in C/C++, it now provides bindings for Python.
  
• OpenCV uses cascades.Like a series of waterfalls, the OpenCV cascade breaks the problem of detecting faces into multiple stages. For each block, it does a very rough and quick
  test. If that passes, it does a slightly more detailed test, and so on. The algorithm may have 30 to 50 of these stages or cascades, and it will only detect a face if all stages pass.
  
• The cascades themselves are just a bunch of XML files that contain OpenCV data used to detect objects. You initialize your code with the cascade you want, and then it does the
  work for you.
  
• Since face detection is such a common case, OpenCV comes with a number of built-in cascades for detecting everything from faces to eyes to hands to legs.
  

Steps for implementation :

- Install requirements.
- click your picture from various angles with good quality.
- put those pictures into a folder named your-name.
- then run faces-train.py python file (it is faster).
- after that run faces.py
- Now the webcam will be opened and it will detect your face with the label.

Thank You.