Building Scenes & Scaling AI Reconstruction

SENSO3D Enters a New Phase of Complexity and Capability

November has been an intense month of scaling and sophistication for the SENSO3D project. As we approach the conclusion of Sprint 2, we’ve successfully expanded the functionality and complexity of both our AI engine and Unity-based immersive environments.

From improving model accuracy to building smarter 3D workflows, we’re taking major strides toward delivering an intelligent and automated 3D scene generation system.

AI Can Now Recognize Over 50 Object Categories

One of the standout achievements this month is the expansion of our AI objectclassification system. Our detection models now identify and classify 50+ object types,enabling scene construction with far greater detail and diversity

These new object categories include:

  • Office accessories (e.g., phones, pens, clocks)
  • Decorative items (e.g., potted plants, frames, shelves)
  • Functional equipment (e.g., routers, speakers, remote controls)
  • Structural elements (e.g., windows, doors, wall panels)

This expansion is crucial for automated scene population, and each recognized objectis now paired with comprehensive metadata tagging for better categorization, filtering,and placement

Sparse-View Reconstruction: A Breakthrough in AI Efficiency

We’ve launched a new sparse-view reconstruction pipeline, designed to build realistic 3D models from as few as one or two 2D images. This is a major leap toward usability for non-technical users.

Key benefits include:

  • No need for 360° scans
  • Ideal for quick prototyping and design mockups
  • Lower barrier to content creation for SMEs and educators
  • More accessible via mobile or web-based tools

This AI innovation complements our previous work with structured-light scanning, giving users more options for 3D content generation.

Scene Complexity Grows in Unity

The immersive environments being built in Unity have grown significantly more dynamic. November’s updates include:

Modular Lighting System
  • Adjustable light intensity, warmth, and direction
  • Support for scene mood simulation and time-of-day rendering
  • Real-time updates to shadows and reflections

This automation reduces manual work and ensures a consistent pipeline for importing AI-generated and scanned 3D models.

Scene Navigation

  • First-person and free-fly camera modes

  • Scene teleportation and path planning

  • Walkthrough-ready navigation systems

VR Object Interaction

  • Physics-based grabbing and object manipulation
  • Real-time placement and repositioning
  • Multi-user readiness for future collaborative VR testing

Each update enhances user immersion and interactivity, making our environments suitable for a wide range of use cases, from virtual training to remote collaboration and product demos.

Preparing for Sprint 2 Completion

As we move into December, we’re preparing to wrap up Sprint 2 with:

  • A finalized library of over 1300 models
  • Two immersive, functional demo environments: Lobby and Conference Room
  • The first internal version of our searchable 3D asset repository

We’re also preparing our first demo video showing real-time interaction within the Unity scenes—stay tuned!

The Vision is Taking Shape

Each line of code, each scanned object, and each AI training cycle is bringing us closer to a world where 3D content creation is smart, fast, and accessible to everyone—not just experts

Thanks for following along as SENSO3D evolves into a full-featured immersive tech platform

Published On: November 30, 2024Categories: Project News