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.
Benefits/Outcomes
- 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
Toolbox
- Machine Learning, Computer Vision
- X-ray, Computed Tomography (CT), Millimeter Wave (MMW)
- Python, OpenCV, MATLAB, Octave
