RAPTOR (Rapid Tactical Operations Reconnaissance)
Description
Provide Tactical Domain Awareness for CBP Agents, making law enforcement efforts more efficient.
Detailed example
Text transcription of vessel registration/documentation data and photographs of the vessel.
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
RAPTOR will significantly increase domain awareness and the agency’s ability to engage in intelligence-driven operations. The AI capability acts as a force multiplier and saves personnel from analyzing video feed from a stationary camera and manually noting all boat identifiers, improving their ability to respond quickly to potential threats and gather critical intelligence for law enforcement and border control operations.
Audit / financial statement impact
The AI system processes data from radar, infrared sensors, and video surveillance to detect and track suspicious activities along U.S. borders. By incorporating AI-powered vessel registration, aircraft tail number, license plate, and object detection RAPTOR significantly boosts domain awareness. If the OCR can capture vessel or license plate information, that information is run through CBP Super Query and if derogatory information is returned or other information from the imagery (high number of gas cans in the image) the information is sent through SMS or email to the field for response to the potential activity. Agents log into RAPTOR and reviews for accuracy/validity of image to avoid any investigation of the wrong boat. Neither the AI or output of AI serves as a principal basis for a decision or action. Human review takes place prior to any final decision to act, and then personal interaction leads to any follow-up decisions.
Controls / human review
ATO: Not reported; PIA: Not published