Inspiration
Description: The Problem Industrial inspection and Search & Rescue (SAR) in hostile environments are slow, dangerous, and suffer from fragmented data. Operators are overwhelmed by disconnected telemetry, video feeds, and decision-making silos. The Solution Klarixa Spatial Inspector is a Mixed Reality (XR) command interface built natively for WebXR and Meta Quest 3. It transforms a single operator into the neural center of a 6+1 autonomous drone swarm. Instead of linear data processing, Klarixa leverages the Nonacortex 5-3-1 multi-agent architecture, recursively mapping 3D physical environments into a 4D state space (spatial + temporal phase) to anticipate anomalies and optimize swarm routing. Key Features: Asymmetric Bimanual Control: Left hand navigates the swarm; right hand uses gaze-trigger (1.5s dwell) to place persistent Spatial Anchors on hazards. Real-time Digital Twin: Node 8 continuously updates the local 3D reconstruction, maintaining hazard markers in exact physical coordinates. Dynamic Telemetry & Logging: Live tracking of 6 tactical drones (Alpha/Beta/Gamma modules) + 1 satellite mesh node, with automated mission logging. KSHIELD Protocol: Validates critical commands through a hardware-level security check before execution. How we built it: Developed under extreme hardware constraints using AI-assisted orchestration (Base44, multi-model LLM routing). This project proves that a Technical Founder can architect, validate, and deploy enterprise-grade WebXR systems by focusing on system design and fractal topology, bypassing traditional hardware bottlenecks. Built with WebXR API, A-Frame, Three.js, and vanilla JavaScript, deployed via GitHub Pages for zero-friction global access. Challenges we ran into: WebXR Session Fallbacks: Ensuring the app gracefully degrades to a desktop/mobile mouse-look mode when a Meta Quest 3 headset is not physically connected during development. State Management: Synchronizing real-time telemetry updates with the 3D scene and the mission log without causing frame drops in the browser. Accomplishments that we're proud of: Successfully deploying a fully interactive, zero-install WebXR demo via GitHub Pages. Architecting a cohesive 9-node logical system (Nonacortex) that feels intuitive to a single XR operator. What's next for Klarixa Spatial Inspector: Integration with physical drone hardware APIs (MAVLink). Prototyping the physical Kwire (Graphene + Galinstan) bus for high-density, low-latency swarm communication. Expanding the 4D fractal state space mapping for predictive hazard avoidance
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Klarixa Spatial Inspector
Built With
- a-frame
- edge-ai
- github
- javascript
- meta-presence-platform
- multi-agent-systems
- webxr
