A modern web platform for analyzing, comparing, and visualizing high-fidelity 3D assets with precision and performance.
Research & Strategy
The platform emerged from repeated inefficiencies in modern infrastructure workflows, where fragmented tooling and inconsistent interfaces slowed down critical engineering processes.
Challenges
[02]
Teams relied on disconnected tools with inconsistent workflows and duplicated operational overhead.
Infrastructure metrics lacked centralized visualization and actionable context.
Solution
[02]
A cohesive operational layer consolidates infrastructure tooling into one streamlined experience.
Integrated telemetry pipelines provide immediate visibility into system performance and anomalies.
Core Features
The platform combines high-performance engineering with refined interaction design to deliver a cohesive workflow experience.
Streaming telemetry pipelines provide instant operational insight with minimal latency.
Data Infrastructure
Composable systems enable scalable feature expansion without compromising maintainability.
System Design
Editorial-grade interfaces transform complex datasets into intuitive visual narratives.
UX Engineering
Granular permissions and isolated environments ensure enterprise-grade operational security.
Security
Integrated orchestration pipelines reduce manual intervention and improve deployment velocity.
Automation
Adaptive layouts maintain clarity and usability across desktop, tablet, and mobile environments.
Frontend Systems
Interactive Demo
Transform a simple smartphone video into a detailed 3D model.
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WebGL
Orbit Controls
Record a smooth 30–60 second video around the object, ensuring that consecutive views overlap and all visible surfaces are captured.
Frames are extracted from the video and filtered to keep only images that contribute new viewpoints while reducing redundancy and processing time.
Distinctive visual features are detected in each image and matched across multiple views, allowing the system to estimate camera positions and scene geometry.
Matched features are triangulated into a sparse 3D point cloud while camera positions are refined.
Additional depth information is calculated across all images to generate a detailed dense point cloud, which is then cleaned to remove noise and outliers.
The point cloud is converted into a continuous mesh, filling the gaps between points so the result is a solid, exportable surface
Interactive Demo
Compare the created 3D model against a reference scan to measure geometric accuracy.
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Before two scans can be compared, they need to share a coordinate system — this step rotates, scales, and positions them to match.
Once aligned, the nearest geometric differences between the models are calculated to measure how far each region deviates from the reference.
Measured deviations are visualized as a color-coded heatmap and summarized using quantitative accuracy metrics.
This project is currently evolving through active iteration, system refinement, and interface testing. Additional features, technical insights, and launch details will be shared progressively.
Feel free to contact me with questions, offers or ideas.