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2026-03-15 17:39:20 -07:00
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qdrant-landing/content/documentation/tutorials-build-essentials/video-anomaly-edge-part-3.md
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- /articles/video-anomaly-edge-part-3/
---
# Video Anomaly Detection: Scoring, Governance, and Deployment
| Time: 60 min | Level: Advanced | Stack: Qdrant Edge, Twelve Labs Marengo 3.0, NVIDIA VSS, Vultr | Output: [GitHub](https://github.com/qdrant/examples/tree/master/video-anomaly-edge) |
| --- | ----------- | ----------- | ----------- |
*This is Part III of a 3-part series on building real-time video anomaly detection from edge to cloud.*
**Series:**
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---
## Getting Started
## Deployment
```bash
# Clone and install
git clone https://github.com/thierrydamiba/edge-video-anomaly
cd video-anomaly
git clone https://github.com/qdrant/examples.git
cd examples/video-anomaly-edge
uv sync
# Configure
@@ -267,7 +272,7 @@ Check out the full series and resources:
- **Part I**: [Architecture, Twelve Labs, and NVIDIA VSS](/documentation/tutorials-build-essentials/video-anomaly-edge-part-1/)
- **Part II**: [Edge-to-Cloud Pipeline](/documentation/tutorials-build-essentials/video-anomaly-edge-part-2/)
- **Project Repository**: [thierrydamiba/edge-video-anomaly](https://github.com/thierrydamiba/edge-video-anomaly)
- **Project Repository**: [qdrant/examples/video-anomaly-edge](https://github.com/qdrant/examples/tree/master/video-anomaly-edge)
- **Live Demo**: [avenue-demo.vercel.app](https://avenue-demo.vercel.app/)
- **NVIDIA VSS Twelve Labs Integration**: [james-le-twelve-labs/nvidia-vss](https://github.com/james-le-twelve-labs/nvidia-vss)
- **Reference: Manufacturing Automation Tutorial**: [nathanchess/twelvelabs-nvidia-vss-sample](https://github.com/nathanchess/twelvelabs-nvidia-vss-sample)