Premium security-operations command center for orchestrating guards, cameras, robots, and future drones/humanoids — ISNTX / Construction Site 1.
Demonstration build (Phase 0/1). All robots, cameras, sensors, events, and KPIs are simulated. No live hardware and no production GuardIQ system is touched. Demo data is clearly labeled and never presented as real customer results.
Open the live page — no build step, no dependencies:
https://brandonschoelkoph--c194d52aae7111f186501607ee4eb77e.web.val.run
- Press START DEMO (auto) — or SIMULATE INTRUSION to drive it manually.
- CAM-02 detects motion → event → AI Orchestrator correlates → person detected, 91% confidence, risk 72/100 with an explicit reason + recommendation (no black box).
- CAM-01 / CAM-03 auto-focus; ROBOT-01 receives an
INVESTIGATE_EVENTmission and animates across the digital twin with live telemetry. - Robot arrives → incident VERIFIED → escalated for human authorization (AI will NOT take sensitive action).
- Operator picks: Observe / Dispatch guard / Announcement / Escalate / False alarm. Dispatch moves GUARD-01 to the scene.
- Incident resolves, AI generates a full incident report, timeline and KPIs update, robot returns to dock to charge.
Every asset on the map is clickable. Reset clears state (KPIs persist across refresh via your browser's local storage so refresh doesn't destroy required state).
main.ts— HTTP entrypoint (serves the page with production security headers).command-center.html— the entire command center: digital twin, live intelligence panel, operator decision controls, robot simulation engine, event timeline, KPIs, and the AI incident report.
The simulator anticipates the full stack: a Hardware Abstraction Layer with replaceable provider adapters (SimulatorRobotProvider first; Boston Dynamics / Unitree / Agility / Figure / Apptronik / 1X later — not claimed as integrated), CameraProvider / SensorProvider, an event-driven bus with normalized events, multi-tenant multi-site isolation, RBAC, a GuardIQ integration gateway (disabled by default), and an agent layer (Perception, Risk, Mission, Fleet, Incident, Report). Those become real services (PostgreSQL + WebSockets) in later phases — this val is the investor proof-of-concept.