DOE · DOE-555 · record R3411

Computer Vision for Defect Detection

Department of Energy · SRS - ESB - Savannah River Site - Enterprise System Boundary (SRFO)

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: The AI use case focuses on product quality control and does not significantly affect legal, material, or critical access to services rights.
Start date: 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

"To automate and enhance the detection of visible defects in products, improving quality control and reducing production errors."

Expected benefits

Improved product quality, reduced production costs, less need for manual inspections, and enhanced productivity. The AI system will lead to significant cost savings and better consistency in products over time.

System outputs

"The AI system outputs will include identified defects in product images, which will then be reviewed and verified by human operators."

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: Developed in-houseSource: b) Developed in-house
Vendor (as reported): SRNS - OT In House Staff
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