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Immersive Digital Twin Greenhouse (VR + Low-Power IoT)

Project page for a VR-based digital twin framework that streams low-power greenhouse telemetry into an OpenXR-compatible Unity client, with offline photogrammetry assets for spatial context.

Status: Under review (IEEE MDTS 2026)

What it is

A hybrid pipeline that:

  • Captures environmental data on a duty-cycled BLE sensor node
  • Bridges BLE telemetry to MQTT via an edge gateway (SBC)
  • Renders a photogrammetry-based greenhouse digital twin in Unity (OpenXR)
  • Overlays live sensor readings directly in the VR scene for spatially grounded monitoring

Key contributions

  • Multi-layer architecture: sensing -> edge -> MQTT/data layer -> Unity/OpenXR VR client
  • Duty-cycled sensing workflow for low average current draw
  • End-to-end telemetry path with measured latency breakdown across links
  • Qualitative validation: photogrammetry fidelity and in-scene telemetry overlays

Architecture

Architecture

Results (highlights)

Latency time-series across communication layers: Latency

Current draw profile over a duty-cycled schedule: Current draw

Qualitative VR visuals (telemetry overlays + reconstructed environment): Physical vs Twin Overlay close-up Overlay multi Greenhouse interior

Paper

The full manuscript is currently under review, so the PDF is not publicly mirrored here. If/when a public version is available (publisher link or arXiv), this section will be updated.

Contact

Mohamed Gallai

About

VR-based digital twin pipeline for greenhouse monitoring (BLE → MQTT → Unity/OpenXR).

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