Synthetic data for improved Automated Threat Recognition (ATR) in checkpoint screening
Description
Images are used to train Automated Threat Recognition (ATR) and other AI models and systems to detect prohibited items in the screening processes.
Detailed example
Images that mimic the human body and various threats.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
To create synthetic data that can be used to improve Automated Threat Recognition (ATR) algorithm development. Synthetic data can be quicker to produce which will improve effectiveness by addressing and adapting to new threats quicker. Accessible Property Screening (APS) and On-Person Screening (OPS) are working with vendors and evaluating AI-based synthetic data generation techniques to bolster the pool of training data available to develop machine learning algorithms in ATR applications.
Controls / human review
ATO: Not reported; PIA: Not published