Vehicle-Anti-Theft-Face-Recognition-System

README file for the Vehicle Anti Theft Face Recognition System.

Student Info

Software: Batuhan Basoglu, Feier Zhang, Alexandre Pereira, Sam Hermas Parada

Hardware: Qian Ma, Leyao Li

In order:

Start Hardware/Updated_HW_codes/NewMotorFunc.py from the Raspberry Pi for Motor/Alarm functions.
Start Main.py for Anti-Theft Face Recognition Software.
Start UI/app from android studio or download the app to your phone for the user interface of the program.

Android Studio is required for the User Interface component and Pycharm is recommended for the Software and Hardware components.
For installation of dlib and Anaconda follow these tutorials.
- https://www.learnopencv.com/install-opencv-3-and-dlib-on-windows-python-only/
- https://www.pyimagesearch.com/2017/05/01/install-dlib-raspberry-pi/
For the integration of the other imports in the file try to update the anaconda through anaconda command prompt.
- conda update --all
For the vehicleantitheftrecognition-firebase-adminsdk-krrgw-05da515de5.json, in DBHelper.py add the file path to the 'service account' if it doesn't work.

Code might break if you have your webcam is opened during execution. You have to close the webcam first.
In order to make Hardware part work, you need to execute the hardware code from Raspberry Pi hardware component we designed.
You can execute the Software and User Interface components from different computers or from the same computer as Raspberry Pi. It is user's choice.