DOI · DOI-0028 · record R2720
Implementation of Artificial Intelligence to Estimate Population Size of a Migratory Bird from Aerial Thermal Imagery [2024 INV#DOI-67]
Department of the Interior · FWS
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-03-24 (day precision)Source: 3/24/2025
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Service Delivery
- Operational functions
- Image and video analysis Derived by keyword rules; see methodology
Problem the AI is intended to solve
Current survey approach has excessive variability that cannot be biologically explained. New approach is warranted to inform harvest management
Expected benefits
Improved safety for pilots and crew because of remote sensing methods, potential for cost efficiency if approach is fully implemented, and improves data quality to inform harvest management.
System outputs
A population estimate and distribution data for this hunted migratory bird.
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
- Yes
- Public source code
- github.com ↗
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- 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
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- Imagery data acquired by FWS aerial photography
- 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