Eight-Layer Pipeline

How F-GRAF Works

An eight-layer intelligence pipeline that transforms raw visual data into prioritized, explainable forensic insights with threat assessment.

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LAYER 01

Evidence Detection

See What's There

AI-powered object detection identifies physical evidence items in images and video frames with high accuracy and speed.

Lightweight YOLOv8-based detection model
Multiple objects detected per frame
Bounding boxes with confidence scores
Works with cameras, drones, and video feeds
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LAYER 02

Scene Understanding

Build the Map

Detected objects become nodes in a spatial graph. Distances, overlaps, and directional relationships are computed automatically.

Objects converted to graph nodes
Spatial relationships computed
Proximity, overlap, and adjacency analysis
Directional awareness (N, S, E, W)
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LAYER 03

Spatial & Temporal Reasoning

Understand the Context

Rule-based reasoning engine analyzes evidence relationships. Every conclusion is traceable to a specific rule — no black box.

7+ deterministic reasoning rules
Co-occurrence detection
Cluster identification
Multi-frame temporal persistence
LAYER 04

Evidence Priority & Scoring

Focus What Matters

Composite scores rank evidence by proximity, connectivity, persistence, and confidence. Each item gets a HIGH, MEDIUM, or LOW priority.

Weighted composite scoring
Proximity & connectivity factors
Temporal persistence bonus
Explicit reason for every score
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LAYER 05

Spatial Analysis

Heatmaps & Anomalies

Advanced density heatmaps, anomaly detection using z-scores, and region-of-interest identification for deep spatial understanding.

Evidence density heatmap grid
Statistical anomaly detection
ROI zone identification
Quadrant analysis & clustering
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LAYER 06

Graph Analytics

Network Intelligence

PageRank, centrality metrics, and community detection reveal the most important evidence nodes and hidden relationships.

Degree & betweenness centrality
PageRank importance scoring
Community detection algorithms
Critical node identification
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LAYER 07

Threat Assessment

Risk Evaluation

Multi-factor threat scoring synthesizes all layers into actionable risk levels with automated scene narrative generation.

5-level threat classification
Multi-factor risk analysis
Automated scene narrative
Actionable intelligence items
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LAYER 08

Investigative Insights

Guide the Investigator

Human-readable reports highlight observations, relationships, priority items, and suggested focus areas. Not judgment — just intelligence.

Structured JSON outputs
Observations & relationships
Priority assessment
Suggested investigator focus areas

Design Principles

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Forensic-Safe

Read-only processing. No data modification. Evidence integrity preserved.

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Fully Explainable

Every score and finding is tied to a traceable rule. No black box decisions.

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Legally Neutral

No inference of intent, guilt, or crime type. Observations only.

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Deterministic

Same input always produces same output. Reproducible and auditable.

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