CORE v1.0 · MODULE 02

ARGUS7 / MEDIA FORENSIC WORKBENCH

Vision

Esaminare media e documenti preservando originale, metadati, regioni, trasformazioni e provenienza.

INPUTSOURCEMODULE ANALYSISEVIDENCEHUMAN REVIEWOUTPUT

01 / MEDIA FORENSIC WORKBENCH

Every visual element is derived from the case dataset.

Zoom, pan, filters, selection and details expose entities, relationships, Source IDs and Evidence IDs. No automatic rotation or random data.

SYNTHETIC DEMONSTRATION DATA
REGION R-03

02 / MODULE SPECIFICATION

Purpose, responsibility and operational boundaries.

This page preserves the names, agents, routing and dependencies of the ARGUS7 baseline.

PURPOSE

Esaminare media e documenti preservando originale, metadati, regioni, trasformazioni e provenienza.

RESEARCH
AINPUTS

INPUTS

  • Immagini e video
  • PDF e scansioni
  • Metadati
  • Ground truth quando disponibile
BPROCESS

PROCESS

  • Media integrity check
  • Detection
  • Manipulation localization
  • Metadata analysis
  • Provenance comparison
CACTIVATED AGENTS

ACTIVATED AGENTS

  • Vision specialist
  • Nessun sotto-agente specificato
  • Forensic validation sui risultati critici
DTOOLS / SOURCES

TOOLS / SOURCES

  • OCR locale
  • Parser media
  • EXIF / metadata
  • Hashing
  • Modelli multimodali autorizzati
EVALIDATION / EVIDENCE

VALIDATION / EVIDENCE

  • Originale immutabile
  • Confronto detector / ground truth
  • Falsi positivi e negativi
  • Revisione delle regioni critiche
FOUTPUT

OUTPUT

  • Manipulation map
  • Region localization
  • Metadata report
  • Media evidence package
CONNECTED MODULES / COMPONENTS
ForensicsInvestigationsGraph

03 / MEDIA ↔ FORENSIC ANALYSIS

Control language follows the module's actual function.

ATTACK ↔ DEFENSE is not forced where it has no investigative meaning.

MEDIA
  • Original
  • Metadata
  • Hash
  • Provenance
FORENSIC ANALYSIS
  • Manipulation mask
  • Localization
  • Transformations
  • Human interpretation

04 / CONNECTED CASES

The module does not operate in isolation.

The same case studies traverse multiple modules, using one data model and one evidence chain.