Relocatable Multi-Sensor System

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact

Impact justification

Sensors and CUAS capabilities to support significant events. The AI combines sensor data from RF detections / radar/ and infrared / electro optical cameras. It combines all feeds and provides detections on the user interface back to users. Fully standalone and airgapped system. Looking to identify non-RF drones. System does not have any mitigation capability, system cannot autonomously mitigate an aircraft, it only detects and provides a digital track on the GUI/map for further user investigation. This use of AI does not serve as a principal basis for decision or action.

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Law Enforcement

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Border security, detection of Small Unmanned Aircraft Systems (SUAS), and multi-sensor fusion.

Expected benefits

The system uses advanced sensor technology to differentiate valid items of interest (IOI), such as unmanned aircraft systems and humans, from other detections such as animals or other environmental objects. By integrating radar and other sensor data, the system filters out false alarms, ensuring more accurate identification of potential IOI. This capability enhances CBP's ability to focus on legitimate risks while minimizing the time spent on non-threatening activities, improving operational efficiency at border and security checkpoints.

System outputs

The outputs include real-time data identifying and categorizing potential items of interests, while filtering out false or non-relevant items of interest like animals. These outputs are used to provide situational awareness and support decision-making for CBP personnel.

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)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

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

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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.

Potential impacts and how they were identified

Not reported