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ec601_passenger_screening

Passenger Screening algorithm for Transportation Security Adminisistration(TSA) Authority of USA.

Aim of the project

For every scan in the dataset, we will be predicting the probability that a threat is present in each of 17 body zones. A diagram of the body zone locations is available in the competition files section.

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Final Product

Website Link:http://ec2-18-217-245-195.us-east-2.compute.amazonaws.com:8080 Preview:

  • Page1: alt text
  • Page2: alt text

Final versions of codes are in Master branch.All other versions of the Codes are available in separate branches. Please Check the below links.

Dataset for the project is provided by Kggle: https://www.kaggle.com/c/passenger-screening-algorithm-challenge/data

  • _.ahi = calibrated object raw data file (2.26GB per file)
  • _.aps = projected image angle sequence file (10.3MB per file)
  • _.a3d = combined image 3D file (330MB per file)
  • _.a3daps = combined image angle sequence file (41.2MB per file)

We will be using .aps file for the initial phases of this project as .aps is minimum in the size among all four available formats.

.aps:-

  • Data file order: AYX (angle, vertical axis, horizontal axis)
  • Axis Name, Stride, Number of samples, Axis Length
  • XAxis, 1, Nx=512, Lx=1.0 meters
  • YAxis, 512, Ny=660, Ly=2.0955 meters
  • Angular, 337920, Na=16, La=360-degrees

Training:-

  • We trained the data for AlexNet and VGGNet. Below are the accuracies for each threat zone.
Threat Zone Accuracy %
Zone1 91.99
Zone2 92.95
Zone3 94.11
Zone4 93.14
Zone5 93.04
Zone6 93.17
Zone7 93.54
Zone8 94.11
Zone9 93.84
Zone10 92.73
Zone11 95.18
Zone12 93.55
Zone13 93.68
Zone14 95.14
Zone15 93.66
Zone16 93.63
Zone17 93.37

Unit Test:-

We have finished unit test in our website,here is our unit test sheet and automatically test results:

-https://docs.google.com/spreadsheets/d/1TRVQTAOrh1yoBVjL5CXdc05WejdTG9oMAG8MyT0Buc0/edit?usp=sharing alt text

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passenger screening algorithm for TSA

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