# ORION WWF1 — Unified Methodology (Anonymization + Labeling)

## 1. Overview

The ORION dataset follows a **Dual-Engine Pipeline** to produce high-fidelity industrial data that is both private and intelligent:
1. **Anonymization Engine**: Guarantees zero-leak privacy (Dual-pass AI + Human Audit).
2. **Labeling Engine (Adjudicator)**: Produces multi-layer industrial annotations (HAR, PPE, Scene Graphs).

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## 2. Anonymization Pipeline (Pass 1 & 2)

*Refer to the previous sections for the detailed 5-model cascade (YOLOv8, YOLOv11, InsightFace) used for the Dual-Pass Anonymization.*

### Visual Destruction Standard
- **Blur**: Gaussian Blur (Kernel 99x99, Sigma 30).
- **Expansion**: 1.68x safety margin.
- **Verification**: Secondary scan for residual leaks with Vertical/Horizontal Flip TTA.

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## 3. Industrial Labeling Pipeline (Orion Adjudicator)

Once the video is anonymized, it enters the **Adjudicator** pipeline for high-level semantic enrichment.

### Layer 1 — Human Activity Recognition (HAR)
Activities are labeled using a temporal event model:
- **Scope**: 44 distinct activity segments across 10 clips.
- **Taxonomy**: walking, carrying_object, assembling, inspecting, cleaning, operating_machine, standing_idle.
- **Precision**: Sub-second start/end timestamps.

### Layer 2 — Safety Compliance (PPE)
A multi-category safety audit is performed for every agent:
- **Categories**: Head, Eyes, Hearing, Respiratory, Hands, Body, Legs, Feet.
- **States**: YES (Compliant), NO (Non-compliant), HIDDEN (Not visible from camera angle).
- **Validation**: 100% human-verified safety audit reports.

### Layer 3 — Physical AI Environment
Scene-level metadata is extracted for robotics and plant optimization:
- **Plant Context**: Floor type (concrete), Lighting (artificial), estimated area (m²).
- **Asset Hierarchy**: CNC machine state (Active/Idle), navigation hazards, camera mounting height/angle.

### Layer 4 — Object Detection (COCO Format)
To support ML training, keyframes are extracted and annotated:
- **Frequency**: 1 frame per second (310 total frames).
- **Annotations**: Bounding boxes in standard COCO JSON format.
- **Categories**: 1=Worker (Agent), 2=Industrial Machine (Asset).
- **Anonymization Consistency**: All frames are extracted from blurred video to ensure 100% privacy compliance.

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## 4. Quality & Certification (Level 3)

The **Level 3 Certification** implies:
1. **AI Proposition**: All detections and labels are initially proposed by specialized AI models.
2. **Human Adjudication**: Trained industrial analysts review and correct every single label.
3. **Integrity Locking**: Final assets are hashed (SHA-256) to prevent tampering.

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## 5. Unified Taxonomy

The dataset uses a strict hierarchy defined in `orion_wwf1_taxonomy.json` and validated by the `orion_wwf1_fields_schema.json` to ensure consistency across the entire 622-clip mother dataset.

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*ORION – Industrial AI Data Lab | Pipeline Version: Orion Unified V5.2*