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Manifold Tech and FARO INSIGHT introduce Rovi i.1

Manifold Tech and FARO INSIGHT introduce Rovi i.1

Key Takeaways

  • Rovi i.1 merges real‑time localization, high‑density geometry, and 3D Gaussian Splatting (3DGS) into a single, mobile capture unit.
  • The system streams data to the FARO Sphere XG cloud platform for instant processing, visualization, and collaborative editing.
  • Designed for AEC‑O, industrial inspection, public‑safety, and cultural‑heritage projects, Rovi i.1 delivers point clouds, 3‑D environments, and digital‑twin assets in a “Capture → Cloud → Application” workflow.
  • Compared with conventional stationary scanners, Rovi i.1 offers up to 5× faster field deployment and 30 % higher point‑density while keeping device weight under 4 kg.

Introduction

Manifold Tech Limited, a leader in spatial‑intelligence software, has partnered with FARO INSIGHT, an AMETEK, Inc. division, to launch Rovi i.1—a mobile reality‑capture platform built for on‑site operations. By integrating Manifold’s reconstruction algorithms with FARO’s proven hardware ecosystem, the new system delivers a unified workflow that moves raw sensor data straight to the cloud for rapid analysis and reuse.

What Is Rovi i.1?

Rovi i.1 is a handheld, battery‑powered unit that combines:

Feature Specification
Localization GNSS + SLAM fusion, sub‑centimeter accuracy (≤ 1 cm RMS)
Geometry Capture Dual‑laser LiDAR, 500 kpts/sec, up to 1 M pts/m²
Imaging 12 MP RGB sensor, HDR video at 60 fps
3DGS Engine Real‑time Gaussian Splatting, 30 fps rendering
Weight 3.8 kg (including battery)
Battery Life Up to 8 hours continuous capture
Connectivity LTE/5G, Wi‑Fi 6, Bluetooth 5.2
Cloud Integration Direct link to FARO Sphere XG (auto‑upload, version control)

The device is purpose‑built for field crews who need to move quickly, capture dense spatial data, and push it to a cloud environment without a laptop or external storage.

Capture → Cloud → Application Workflow

  1. Capture – Operators scan a site while Rovi i.1 simultaneously records LiDAR points, high‑resolution imagery, and inertial data. The on‑board 3DGS engine fuses these streams into a coherent volumetric model in real time.
  2. Cloud – As soon as a cellular or Wi‑Fi link is available, the data batch uploads to FARO Sphere XG. The platform performs automatic point‑cloud cleaning, mesh generation, and metadata tagging.
  3. Application – Processed assets are instantly viewable in web browsers or native FARO apps. Engineers can extract measurements, generate as‑built drawings, or feed the model into BIM, GIS, or AR/VR pipelines.

Target Industries and Use Cases

Sector Typical Application Benefit
Architecture, Engineering & Construction (AEC‑O) Progress monitoring, as‑built documentation 24‑hour turnaround from site to stakeholder
Industrial Facilities Asset inspection, preventive maintenance Reduces downtime by up to 40 %
Public Safety & Emergency Response Scene capture, forensic reconstruction Enables remote assessment, improves response time
Cultural Heritage Digital preservation, virtual tourism Captures fine surface detail (≤ 0.5 mm) for archival quality

The spatial and visual data also support immersive experiences—AR overlays for on‑site workers, VR walkthroughs for remote clients, and spatial‑computing interfaces for autonomous robots.

How Rovi i.1 Stacks Up Against Traditional Scanners

Criterion Rovi i.1 (Mobile) FARO Focus 3D (Stationary) Handheld LiDAR (e.g., Leica BLK2GO)
Setup Time < 2 min 10–15 min (tripod, leveling) 3–5 min
Capture Speed 500 kpts/sec (continuous) 250 kpts/sec (stop‑and‑shoot) 300 kpts/sec
Point Density Up to 1 M pts/m² 500 kpts/m² 600 kpts/m²
Weight 3.8 kg 7.5 kg 2.5 kg
Battery Life 8 h 4 h (external power) 6 h
Cloud Integration Automatic (Sphere XG) Manual upload Manual upload
3DGS Capability Real‑time Gaussian Splatting No native support No native support

The table highlights Rovi i.1’s advantage in speed, density, and seamless cloud workflow—critical factors for projects where time and data fidelity directly impact cost.

Future Directions

Manifold Tech is extending its spatial‑sensing algorithms to autonomous robots, enabling machines to navigate and map complex environments without GPS. The Rovi i.1 platform serves as a testbed for these advances, suggesting that future versions may incorporate AI‑driven feature extraction and edge‑computing analytics.

Bottom Line

Rovi i.1 represents a decisive step toward truly mobile, cloud‑first reality capture. By uniting high‑resolution LiDAR, advanced imaging, and real‑time 3D Gaussian Splatting in a lightweight handheld device, it shortens the gap between field acquisition and actionable digital assets. For AEC‑O firms, industrial operators, and heritage custodians, the system promises faster project cycles, richer data, and a collaborative environment that scales from a single technician to enterprise‑wide deployments.


For deeper technical specifications and partnership details, visit **

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