Identify infrastructure supports for physical activity (e.g. sidewalks) in satellite and roadway images
Description
To streamline and automate the surveillance of sidewalks and other infrastructure that support physical activity, reducing the labor and cost associated with manual inspection.
Detailed example
Outputs include geocoded data tables, maps, GIS layers, or summary reports identifying sidewalks, bicycle lanes, and other relevant infrastructure from satellite and roadway images.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
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
The technology has the potential to significantly minimize the effort required for cataloging sidewalks and related infrastructure, which are important for promoting physical activity. This could lead to more efficient and cost-effective surveillance, supporting public health monitoring and interventions.
Controls / human review
ATO: No; PIA: Not published
Data needed
Publicly-available images were used for model evaluation