Statistical Modeling & Training Algorithms

Customer Challenge

The Air Force required statistically robust methods to compare the response of substances for security screening equipment.

Innovative Solution

ILW developed a statistical model and training algorithms to validate explosives and identify image features in security screening equipment.


  • Identified key image features which influence explosive detection (i.e. density, atomic number, texture, patterns)
  • Created robust experimental design processes
  • Repeatability and efficiently identifying objects and signatures in images across modalities
  • Defined statistically sound hypothesis tests for multiple features and system noise
  • Improved detection performance


  • Training algorithms
  • X-ray, CT, and millimeter wave (MMW)
  • Python, OpenCV, MATLAB and Octave

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