Non-intrusive vessel and object detection tool (Tethered Aerostat Radar System (TARS))
Description
Detect, identify and classify vessels and objects in the maritime environment
Detailed example
The AI will analyze images from the sensors to determine what the item is in the image (e.g. Vessel). The image location will also be correlated with any publicly available AIS (Automated Identified System) data for maritime traffic. AIS is used as a filtering mechanism in most cases to filter out legitimate traffic. User is provided with information for detected objects lacking AIS signal. After the alert of a detection, a trained CBP agent or user, reviews the image to identify and classify the activity taking place. This use of AI does not serve as the principal basis for decisions or actions.
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
Utilizing AI to automate maritime object detection with real-time outputs to streamline data flows intended to increase efficiency of existing resources and minimize mission critical decision-making timeline.
Audit / financial statement impact
The AI will analyze images from the sensors to determine what the item is in the image (e.g. Vessel). The image location will also be correlated with any publicly available AIS (Automated Identified System) data for maritime traffic. AIS is used as a filtering mechanism in most cases to filter out legitimate traffic. User is provided with information for detected objects lacking AIS signal. After the alert of a detection, a trained CBP agent or user, reviews the image to identify and classify the activity taking place. This use of AI does not serve as the principal basis for decisions or actions.
Controls / human review
ATO: Not reported; PIA: Not published