DOE · DOE-539 · record R3396
Drone Imagery Analysis
Department of Energy · LM HQ - Office of Legacy Management (LM)
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
- Does not meet definition
- Start date
- 2022-10-01 (day precision)Source: 2022-10-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Energy and the Environment
- Operational functions
- Image and video analysis Derived by keyword rules; see methodology
Problem the AI is intended to solve
AI used to allow drone to improve human safety in imagery collection and analysis.
Expected benefits
Simple and efficient asset inspection with improved safety factor.
System outputs
Automatically seam together images for visualization by humans.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- LMGSS
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- TBD
- 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
- Human review will be used to validate.
- Federal Data Catalog
- Not reported
Governance
8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingReported in progressSource: b) In-progress
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewReported in progressSource: d) In-progress
Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress
Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress
Fail-safeReported in placeSource: a) Yes
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in placeSource: a) Direct usability testing
Potential impacts and how they were identified
Improved management of the remedy