HHS · no agency ID · record R0681
TowerScout: Automated cooling tower detection from aerial imagery for Legionnaires' Disease outbreak investigation
Department of Health and Human Services · HHS/CDC
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2021-05 (month precision)Source: May-21
- 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
Rapid identification of cooling towers that could potentially be spreading Legionella bacteria during outbreaks, enabling faster and more efficient outbreak response.
Expected benefits
Detects cooling towers approximately 600 times faster than manual searches. Enables more efficient and timely response during Legionella outbreaks. Improves public health response and outbreak containment.
System outputs
Detection and classification of cooling towers within aerial imagery.
Technology
- AI classification
- Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
- System name(s)
- EDAV (Enterprise Data Analytics and Visualization Platform)
- Custom-developed code
- Yes
- Public source code
- github.com ↗
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Aerial imagery data used for object detection and image classification.
- 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