39 lines
1.7 KiB
Markdown
39 lines
1.7 KiB
Markdown
# Vehicle-Anti-Theft-Face-Recognition-System
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README file for the Vehicle Anti Theft Face Recognition System.
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# Student Info
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Software: Batuhan Berk Başoğlu, Feier Zhang, Alexandre Pereira, Sam Hermas Parada
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Hardware: Qian Ma, Leyao Li
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# Instructions
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In order:
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1. Start Hardware/Updated_HW_codes/NewMotorFunc.py from the Raspberry Pi for Motor/Alarm functions.
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2. Start Main.py for Anti-Theft Face Recognition Software.
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3. Start UI/app from android studio or download the app to your phone for the user interface of the program.
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# System Requirements
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- Android Studio is required for the User Interface component and Pycharm is recommended for the Software and Hardware components.
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- For installation of dlib and Anaconda follow these tutorials.
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- https://www.learnopencv.com/install-opencv-3-and-dlib-on-windows-python-only/
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- https://www.pyimagesearch.com/2017/05/01/install-dlib-raspberry-pi/
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- For the integration of the other imports in the file try to update the anaconda through
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anaconda command prompt.
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- conda update --all
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- For the vehicleantitheftrecognition-firebase-adminsdk-krrgw-05da515de5.json, in DBHelper.py
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add the file path to the 'service account' if it doesn't work.
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# Website of the Project
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https://batuhan-basoglu.github.io/Vehicle-Anti-Theft-Face-Recognition-System/
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# Notes
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- Code might break if you have your webcam is opened during execution. You have to close the webcam first.
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- In order to make Hardware part work, you need to execute the hardware code from Raspberry Pi hardware component we designed.
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- You can execute the Software and User Interface components from different computers or from the same computer as Raspberry Pi.
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It is user's choice.
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