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System to streamline the manual processes carried out at airports for boarding through the use of facial recognition - MI Project SEM V

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Airport-Automation-System

Airport Automation System - MI Project Sem V

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  1. YOLO Models

About the Project

A biometric enabled travel system based on Facial Recognition Technology which will facilitate paperless travel and avoid multiple identity checks at the airport enabling seamless and hassle-free travel.

The project consists of two modules :

  1. Image Detection (If a face is there in the frame) - faceDetection.py
  2. Image Recognisation (Matching the face with already present database) - simple_facerec.py

In order to run the project

  1. Import all codefiles in a folder and run main.py [CAUTION: there are two main.py files, the one NOT IN detection folder needs to be run]
  2. The code will be executed and a GUI Window will open.
  • A ticket window will open, chose any flight and click on BUY.
  • A new camera window will open. press S to click a picture.
  • Click on complete transaction.
  • The name and image will be stored in database.
  • When the passenger has to board the flight click on Sign in with Camera.
  • If the system recognises your face a green rectangle with your name will show up.
  • Voila! you are ready to go.

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System to streamline the manual processes carried out at airports for boarding through the use of facial recognition - MI Project SEM V

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