Advanced Analytics for X-ray Images (AAXI)
Description
Reduction of low risk empty commercial vehicles.
Detailed example
AAXI compares current crossing images to previous crossings of the same tractor/trailer which have been adjudicated by a CBP Officer and determines recommends further review if warranted.
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
AAXI aims to address the problem of anomaly detection in empty commercial vehicles entering the United States at land border ports of entry. The AI models achieve this goal by encoding past X-Ray images of vehicular border crossings in a semantically meaningful way and comparing the current crossing to detect differences amongst the images to identify anomalies. Benefits include enhancement of the capability of humans to consistently detect items of interest/concern present (and possibly concealed) in vehicles crossing into the United States, and increased clearance rate at border crossings so that vehicles operating safely and lawfully may pass through the border faster.
Controls / human review
ATO: Not reported; PIA: Not published