Automated Target Recognition (ATR) Developments for Standard Screening
Description
AIT systems need to use Automated Target Recognition algorithms to detect objects while maintaining passenger privacy.
Detailed example
The system reproduces the threat location, which is viewed as a bounding box on a representative human figure, for TSO resolution.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The purpose of this use case is to improve upon Automated Target Recognition (ATR) algorithms used to reduce privacy concerns because a TSO is no longer required to view Advanced Imaging Technology (AIT) images. The expected benefits are to increase detection, reduce false alarms, and improve efficiency and passenger experience.
Controls / human review
ATO: Not reported; PIA: Not published