Guided Walkarounds and Dynamic Capture: How Halo Turns 4K Pixels into 3D Intelligence
Halo is advancing AI research in guided walkarounds and dynamic capture. Our PWA recognizes objects, creates adaptive workflows, and uses 4K captures to generate fraud-proof 3D models, reusable 2D views, and OCR-rich data, all delivered through an API.
Capturing visual data correctly is often harder than processing it. At Halo, we are developing ways for everyday users to collect fraud-proof, enterprise-grade evidence without specialized training. Our research into guided walkarounds and dynamic capture is designed to make the process seamless, reliable, and ready for large-scale deployment.
Dynamic Workflow Generation
Halo’s progressive web application (PWA) begins by recognizing the object being scanned. Once identified, the system automatically generates a guided walkaround workflow tailored to that object. The workflow prompts the user step by step, ensuring all visible surfaces are captured at close range.
This approach guarantees that no part of the object is missed while keeping the experience simple and intuitive for the end user.
From 4K Pixels to Structured Outputs
Each capture is stored at 4K fidelity, providing the resolution required for multiple outputs:
3D Reconstruction: Images are combined into a fraud-resistant 3D model of the object.
2D Re-projections: From this model, Halo can generate standardized 2D views from any predefined angle or position.
Embedded Metadata: Optical character recognition (OCR) extracts text and labels, which are packaged with the 3D model and 2D views inside the API payload.
The result is a complete digital record that can be reused across audits, product pages, compliance workflows, and fleet operations.
How It Works Under the Hood
Halo’s research combines several technical components:
Object Recognition: Pre-trained vision models identify the object type and determine which capture sequence is needed.
Adaptive Guidance: The workflow engine dynamically selects camera angles and close-up prompts to guarantee coverage.
3D Modeling: Multi-view reconstruction techniques transform raw images into a photorealistic, fraud-proof 3D asset.
Integrity and Authenticity: Captures are time-stamped, validated, and prepared for downstream AI pipelines.
This blend of guidance, reconstruction, and integrity assurance creates data that is both usable by non-experts and trustworthy for enterprise systems.
Why It Matters
This research unlocks new possibilities across industries:
Fleets: Every vehicle inspection can generate a fraud-proof 3D record.
E-commerce: A single product scan can produce ready-to-use 2D images for online listings.
Audits and Compliance: Full visual evidence can be collected remotely and tied to OCR-extracted data.
Halo’s vision is to make capture not just simple, but smart enough to guarantee the right data is collected the first time, and flexible enough to power the next generation of AI-driven applications.