[Forensics]

Media Redaction Engine

Before body-worn camera footage can be released under a public records request, every face that does not belong to the subject of the request must be blurred.

Module metadata

Before body-worn camera footage can be released under a public records request, every face that does not belong to the subject of the request must be blurred.

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Source reference

content/modules/media-redaction-engine.md

Last Updated

Feb 23, 2026

Category

Forensics

Content checksum

c8eb24ef370fd8ea

Tags

forensicsaicomplianceblockchain

Overview#

Before body-worn camera footage can be released under a public records request, every face that does not belong to the subject of the request must be blurred. Before a recorded interview is shared with defence counsel, a witness's voice may need masking to protect their identity. Before surveillance video goes to a civil proceedings disclosure, vehicle plates require redaction. The Media Redaction Engine handles all of these scenarios automatically, applying AI-driven detection to video, images, and audio, then producing court-admissible redacted versions while preserving the unaltered originals in a separate, access-controlled evidence track.

This module is essential for law enforcement public disclosure compliance, court evidence preparation, and any intelligence context where media must be shared with parties who have limited authorisation.

Mermaid diagram

flowchart TD
    A[Evidence File] --> B[AI Detection Pass]
    B --> C[Face Detection]
    B --> D[Licence Plate Detection]
    B --> E[Audio PII Detection]
    B --> F[Document PII Detection]
    C --> G[Redaction Review Preview]
    D --> G
    E --> G
    F --> G
    G --> H{Analyst Approves?}
    H -- Yes --> I[Redaction Applied]
    H -- No --> J[Manual Adjustment]
    J --> G
    I --> K[Redacted Version Stored]
    I --> L[Original Evidence Preserved]
    K --> M[Audit Trail Entry]
    L --> M

Key Features#

  • AI-powered face detection and blurring in video and image evidence, including tracking across frames
  • Licence plate detection and redaction for vehicle privacy in surveillance and BWC footage
  • Audio redaction with voice masking and segment removal to protect source identities
  • PII detection in document images with automated redaction of names, addresses, and identifiers
  • Real-time preview of proposed redactions before any changes are committed
  • Batch redaction processing across multiple evidence files with consistent policy application
  • Configurable redaction styles: blur, pixelation, solid fill, or colour replacement
  • Original evidence preserved separately with redacted versions tracked independently in the chain of custody

Use Cases#

  • Redacting non-subject faces in body camera footage prior to public records release, meeting FOIA and equivalent disclosure obligations
  • Blurring licence plates in surveillance video to satisfy privacy compliance requirements before external sharing
  • Applying audio redaction to protect witness identities in recorded interviews prepared for disclosure
  • Batch-processing discovery material to redact PII before legal production to opposing counsel
  • Producing redacted versions of military video for coalition partner sharing under restricted release protocols

Integration#

The redaction engine connects with evidence management, the export and sharing module, and privacy compliance workflows. All redaction actions are logged in the audit trail with operator identity, timestamp, and the specific entities redacted. Redacted versions and original files are stored in Cloudflare R2 under separate access controls, with cryptographic hashes ensuring neither copy is modified after the redaction event.

Last Reviewed: 2026-02-23 Last Updated: 2026-04-14