Autonomous Drone Detection and Monitoring
Description
DEA needs drones that can safely and effectively navigate autonomously
Detailed example
Outputs high-resolution imaging and thermal imaging data, video feeds, 3D mapping, reports and analytics on drones and its communication links.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This use case supports human drone operators and pilots in deploying drones by collecting data. It minimizes the need for costly, extensive training and allows drone operators to focus on real-time operational needs. It supports post-deployment data analysis.
Controls / human review
ATO: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.