HHS · no agency ID · record R0651

SewerScout: Automated on-site sewage facility detection from aerial imagery to identify failed systems

Department of Health and Human Services · HHS/CDC

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

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.

Expected benefits

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.

System outputs

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.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported