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Project Overview

  • United Airlines: A major American airline headquartered in Chicago
  • Established in 1926, with a broad network of global flights
  • Key hubs: Chicago, Denver, Houston, Newark
  • Point person - Mr. Anthony Haloulos (Engagement Analyst, United Airlines)
  • Known for commitment to high-quality customer service

Problem Statement

The United Airlines ramp employees do not have a standardized checklist for ensuring proper distribution of luggage weight, and luggage strapping which could result in imbalances during flight and non-compliance when luggage surpasses the fire suppression line.

Goals

  • Elevating employee and customer experience through efficient loading processes.
  • Utilizing technology for improved safety and compliance.

Python pip installs

  • pip install opencv-python numpy keras tensorflow pyqt5 Pillow flask flask_cors

How to run:

  • From the main United folder, run python router.py
  • Once the initial processes are complete, navigate to 127.0.0.1:5000 in a browser

Other notes:

  • The machine learning model is not included since the file is large. Contact the group to get the trained model
  • For future improvement: the twoPics.py program may not terminate properly, future todo is reconfigure the QApplication to terminate completely when the subprogram is exited. This issue comes up when the "Live Analysis" button is clicked

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