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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-68 · record R1960

Empty Container Detection Model (Cargo Insights Team)

Department of Homeland Security · CBP

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2023-06-24 (day precision)Source: 2023-06-24T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Fraud, waste and improper payments Derived by keyword rules; see methodology

Problem the AI is intended to solve

This enhances border security and optimizes resource allocation for inspections. The model is designed to accurately identify and track empty containers in cargo shipments, preventing errors and fraud in cargo declarations.

Expected benefits

The AI improves accuracy, enhances efficiency by prioritizing legitimate containers for inspection, and strengthens security by detecting potential smuggling risks.

System outputs

The system applies a prediction label alongside a bounding box on record.  Officers use this information along with all information provided to determine what, if any, further steps are required.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Automated Targeting System (ATS)
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
Yes
Demographic features
Not reported
Training and evaluation data
X-ray images and associated metadata.
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported