--- language: - en license: other task_categories: - video-classification - object-detection tags: - action-recognition - human-activity-recognition - industrial-ai - computer-vision - physical-ai - har - ppe-detection - activity-recognition - worker-safety - gdpr-compliant - manufacturing - robotics pretty_name: "ORION WWF1: Industrial AI Certified Sample Pack v2.0 (Physical AI Edition)" size_categories: - n<1K configs: - config_name: default data_files: - split: train path: enrichments/har_annotations.csv --- # Real industrial data, AI-ready for Physical AI ## ORION WWF1 – Certified Sample Pack v2.0 (Enriched) | Version | Status | Sector | Pipeline | | :--- | :--- | :--- | :--- | | **v2.0-Enriched** | 🟢 **Level 3 Certified** | Industrial-Manufacturing | Orion Unified V5.2 | --- ## 🌟 The Evolution: Beyond Anonymization The **ORION WWF1 v2.0 Enriched** pack represents the professional evolution of our baseline industrial dataset. While previous versions focused on privacy-first anonymization, v2.0 transforms raw video into actionable, multi-layered intelligence for **Physical AI**. This pack includes 10 representative clips from a high-intensity wood-processing facility, now featuring **Certified Human-in-the-Loop (HITL) annotations** across four distinct enrichment layers: Safety Compliance (PPE), Activity Recognition (HAR), Industrial Environment (Physical AI), and Machine Learning Detection (COCO). ## 📸 Visual Preview (Certified Annotations) | Clip SRC_021 | Clip SRC_029 | Clip SRC_039 | | :---: | :---: | :---: | | ![SRC_021](https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2/resolve/main/previews/SRC_021_preview.png) | ![SRC_029](https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2/resolve/main/previews/SRC_029_preview.png) | ![SRC_039](https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2/resolve/main/previews/SRC_039_preview.png) | | **PPE & HAR Audit** | **Physical AI Context** | **Operational Logic** | --- ## 1. Dataset Summary & Mission **ORION WWF1** is a specialized dataset designed for the next generation of **Physical AI** and **Industrial Safety** models. It captures authentic, complex worker-machine interactions in a Wooden Window Factory (WWF1). * **Mission**: To provide high-fidelity, privacy-compliant data for training models that understand complex industrial workflows, hazardous environments, and safety protocols. * **Enrichment**: Every frame is enriched with spatial and temporal metadata, audited by human experts to ensure "Zero False Negative" reliability and absolute privacy. * **Certification**: Every asset is **Level 3 Certified**, meaning it has passed a dual-pass AI anonymization process followed by a 100% manual human audit. ## 2. Enrichment Layers (The "Multi-Layer Stack") ### 🟢 Layer 1: HAR (Human Activity Recognition) Full temporal sequences of worker actions, essential for cycle-time analysis and workflow optimization. * **Format**: `har_annotations.csv` * **Labels**: `cutting_wood`, `carrying_object`, `assembling`, `operating_machine`, `standing_idle`, `walking`, `inspecting`, `cleaning`. * **Accuracy**: Audited at 1.0s temporal resolution with precise start/end timestamps. ### 🔵 Layer 2: PPE (Safety Compliance) Multi-zone equipment verification per worker, compliant with international HSE standards. * **Format**: `ppe_summary.csv` + `compliance_report.html` * **Zones Monitoring**: Head (Hardhat), Eye (Glasses), Hearing, Respiratory, Hand (Gloves), Body (Vest), Legs, Foot (Safety shoes). * **Standard**: 8-category compliance audit (YES / NO / HIDDEN). ### 🟣 Layer 3: PHYSICAL AI (Environmental Context) Deep semantic understanding of the industrial workspace for robotics and digital twin training. * **Format**: `physical_ai_environment.json` * **Data**: Machine types, floor conditions (concrete), navigation hazards, camera POV parameters (height/angle). * **Geography**: Documented industrial hub in Romania. ### 🟡 Layer 4: ML TRAINING (COCO Annotations) High-quality keyframes for object detection and computer vision training. * **Format**: `coco_annotations.json` * **Details**: 310 certified keyframes with high-density bounding boxes. * **Privacy**: All frames are extracted *after* anonymization to guarantee 100% privacy compliance. ## 3. Dataset Structure (v2.0 Premium Layout) ```text ORION_WWF1_v2.0_ENRICHED/ ├── ORION_WWF1_SAMPLES_v2.zip # Single-click download for the full pack ├── samples/ # Final MP4 Deliverables (1080p, Dual-Pass Anonymized) ├── enrichments/ # 🆕 All Intelligence Layers (CSV, JSON, HTML) │ ├── har_annotations.csv # Activity sequences │ ├── ppe_summary.csv # Worker safety records │ ├── physical_ai_environment.json # Scene context │ └── coco_annotations.json # ML-ready Bounding Boxes ├── previews/ # High-resolution visual thumbnails ├── integrity/ # SHA-256 Master Manifest & Checksums ├── metadata/ # Unified Field Specs & Pipeline Schema ├── DATASHEET.md # Technical Deep-Dive & Ethics ├── METHODOLOGY.md # Dual-Pass Anonymization & HITL Process └── README.md # This documentation ``` ## 4. Collection & Methodology Data was collected using calibrated industrial cameras during active production cycles. * **Environment**: Real woodworking factory (high ambient noise, industrial dust, variable lighting). * **Anonymization**: Our proprietary **Dual-Pass Pipeline (V4.2 Industrial)** applies irreversible Gaussian Anonymization to all human subjects, ensuring zero-leak privacy. * **Verification**: Secondary scan for residual leaks using Vertical/Horizontal Flip TTA. ## 5. Annotation & HITL Process Unlike purely automated datasets, the ORION v2.0 utility follows our proprietary **Adjudicator Workflow**: 1. **AI Predetection**: Specialized models propose initial BBoxes and Activity segments. 2. **Human-in-the-loop (HITL)**: 100% manual review and correction of every single frame and sequence by industrial analysts. 3. **QA Certification**: Final signature verifying zero-leak privacy and 100% annotation integrity. ## 6. Certified Feature Metadata | Feature | Status | Specification | | :--- | :--- | :--- | | **Clip Count** | 10 Clips | HD 1080p, 59.94 fps | | **Anonymization** | 🟢 **Dual-Pass** | Faces & Heads (Irreversible Blur) | | **BBox Annotations** | ✅ Included | Professional COCO JSON format | | **PPE Detection** | ✅ Certified | 8-Zone Compliance Audit | | **HAR Actions** | ✅ Certified | Temporal localization (HITL verified) | | **Integrity** | ✅ Verified | Full SHA-256 Recursive Manifest | ## 7. Use Cases * **Safety Analysis (HSE)**: Building models for automated safety non-compliance alerts. * **Production Efficiency**: Cycle time analysis and bottleneck identification. * **Robotics & Digital Twins**: Training autonomous agents to navigate and interact with industrial assets. ## 8. Integrity & Licensing * **Integrity**: Every file is signed via SHA-256 (see `integrity/manifest.sha256`). * **License**: Distributed under the **ORION Sample Data License (v2.0 Enriched)**. Commercial R&D use permitted. 🚀 **About ORION** **ORION – Industrial AI Data Lab** is the bridge between industrial privacy and AI performance. We deliver "Small Data with Big Impact" for the manufacturing sector. Explore more: [orion-the-lab.com](https://orion-the-lab.com) | [LinkedIn](https://www.linkedin.com/company/orion-the-lab)