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[Docs] release notes Industrial Edge Insights Multimodal main (open-edge-platform#2075)
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# Release Notes
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# Release Notes: Industrial Edge Insights Multimodal
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- [December 2025](./release-notes/dec-2025.md)
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## Version 2026.0
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**March 24, 2026**
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This release introduces **S3-based frame storage**, **deployment hardening**, and
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**documentation improvements**.
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**New**
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- **RTP Timestamp Alignment**: Fusion Analytics now uses the RTP sender NTP timestamp
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(`metadata.rtp.sender_ntp_unix_timestamp_ns`) to match frames with the nearest metadata
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records for improved synchronization.
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- **SeaweedFS S3 Integration**: DL Streamer now stores output frames and images in an
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S3-compatible SeaweedFS backend, with full Helm chart support.
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- **Vision Metadata Persistence**: DL pipeline vision metadata is now saved persistently to
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InfluxDB through Fusion Analytics for improved traceability.
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- **Helm Deployment**: Helm charts for multimodal deployment are now available.
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**Improved**
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- Simulation data is now embedded directly into the container image, removing the external
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PV/PVC volume dependency and simplifying weld-data-simulator deployment.
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- System requirements have been updated to reflect CPU-only validated configurations.
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- Third-party service images have been updated: Telegraf, Grafana, Eclipse Mosquitto,
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MediaMTX, Coturn, and SeaweedFS.
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- **Security**: SeaweedFS container runtime has been hardened.
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- Documentation has been extended and improved for ease of navigation, covering updates to
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setup guides, Helm deployment, and more.
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For information on older versions, check [release notes 2025](./release-notes/release-notes-2025.md)
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manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/release-notes/dec-2025.md renamed to manufacturing-ai-suite/industrial-edge-insights-multimodal/docs/user-guide/release-notes/release-notes-2025.md

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# December 2025
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## [v1.0.0]
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## version 1.0.0
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This is the first version of the Multimodal - Weld Defect Detection sample app
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showcasing a Vision and Time Series defect detection use case by detecting anomalous welding.
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This is the first version of the Multimodal - Weld Defect Detection sample app,
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showcasing the Vision and Time Series defect detection use case by detecting anomalous welding.
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### Deployments
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**Deployments**
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- Docker compose deployment on a single node
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- Docker compose deployment on a single node.
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### Features
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**Features**
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- Introduced a comprehensive sample application combining vision (video inspection) and
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time-series sensor analytics for industrial weld defect detection.

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