Intrusion Detection System

Implementation of Intrusion Detection System based on Python and OpenCV.

The face recognition modules have been derived from https://github.com/ageitgey/face_recognition

Set Up

• Firstly clone / download the project from here

• Open terminal / cmd and navigate to the project folder.

• Install all the dependencies required for the project.

  (If you are on Linux / MacOS platform run the command with sudo privileges)

  pip install -r requirements.txt
  

To set up IP camera:

• We are using this app to set up the IP Camera over an android Device https://play.google.com/store/apps/details?id=com.pas.webcam

• In the script.py and capture.py file, modify the IP address contained in this line, to the IP address for your device

  video_capture = cv2.VideoCapture('http://192.168.1.100:8080/videofeed')
  

Running the Project

Step 1: Training the Model

• To train the model with your face images, run

  python capture.py
  

• Now to capture your face press c key.

  (If no face detected you will be prompted on the terminal / cmd)

• Now, you will be prompt to enter your name, on the terminal / cmd.

  (If the image name is already present / exists, you will be prompt to enter another name or overwrite the existing entry for the image)

• After this, training the model for your image gets completed.

Step 2: Detection of any Intrusion

• For detecting any instrusion, run the script

  python script.py
  

• The image window will display the person's name, if that face exits in the database, and the system will prompt Permission Granted !! message.

• Else if the face does not exits in the database, the image window will display Unknown with the face, and will prompt Permission Denied !! message.

• To exit the process press q key.