SewerScout: Automated on-site sewage facility detection from aerial imagery to identify failed systems
Description
To automate the identification of onsite wastewater systems and detect failed systems using aerial imagery, enabling public health departments to efficiently locate and assess septic systems without resource-intensive field visits.
Detailed example
The system outputs include identification and mapping of onsite sewage facilities, with the intent to distinguish between functional and failed systems, supporting public health surveillance and intervention.
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
The project will allow state, tribal, local, and territorial public health departments to more easily identify failing septic systems, address contamination risks, and improve disaster response by providing a ready catalog of systems. This will save time and resources compared to manual surveys, especially in rural and remote areas.
Controls / human review
ATO: Not reported; PIA: Not published