HHS · no agency ID · record R0867

Product Label and Text Extraction System (PLATES)

Department of Health and Human Services · HHS/FDA/HFP

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: 2024-06 (month precision)Source: Jun-24
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Manual food label data extraction causes slow data accessibility and insights. Manual data processing and standardization causes slow data accessibility and insights. Decentralized food label data limits research and regulatory processing of industry compliance and health impacts.

Expected benefits

Reduced burden to HFP reviewers and data scientists reviewing and analyzing food product label data, including ingredient and nutrition research. The capabilities have significantly accelerated the data extraction and entry process, providing standardized and parsed structured data 35.29x faster than the manual process (reducing the manual burden by 97.08%).

System outputs

The system includes a user interface that allows users to upload food product images to receive extracted, standardized (utilizing FoodTrak standards), and metadata attached, structured data for 30+ key food data elements that can be reviewed and saved , exported, or published to downstream databases.

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): PLATES, FoodTrak
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Trigent Solutions Inc, Digitrix LLC
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: Internal FDA FoodTrak and OLOAS data.
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