HHS · no agency ID · record R0880

AI-Powered Video Analytics for Law Enforcement

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

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: Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification: AI is used to filter relevant video, but outputs are verified by humans, decisions/actions are performed by humans
Start date: 2023-01 (month precision)Source: Jan-23
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Law Enforcement
Operational functions: Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI is intended to solve the challenge of manually reviewing large volumes of surveillance video, which is time-consuming, labor-intensive, and prone to human error.

Expected benefits

Faster identification of persons, vehicles, and events of interest through AI-powered video search and filtering. Improved accuracy and objectivity in surveillance review and analysis. Increased situational awareness via real-time alerting and behavior detection. Greater operational efficiency, enabling limited staff to manage larger video workloads. Data-driven decision-making supported by trend analysis and visual dashboards.

System outputs

- Object-level detections: bounding boxes with classifications (e.g., person, vehicle type, animal), attributes (e.g., clothing color, bag, face mask), and movement patterns. - Appearance-based search results: lists of matching individuals or vehicles based on facial features, clothing, or license plate. - Real-time alerts: triggered events based on predefined rules (e.g., line crossing, group formation, presence of a vehicle type), sent via connected systems.- - Visual summaries: Video Synopsis® clips that compress hours of activity into short, layered visualizations for faster review.- - K34Dashboards and analytics: aggregated data on movement, dwell time, crowding, object counts, and traffic patterns to inform operational decisions.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Digital Acquisition Report System (OII-OCI-DARS)
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): Milestone
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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
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