Camera as a Universal Sensor (CaaUS)

Transform everyday cameras into real-time IoT devices. Convert video into structured, actionable data and make decisions at the edge in single-digit milliseconds.

An urban intersection with visual overlays showing AI-based video analytics, connected vehicles, and camera-based sensors making real-time decisions.

A grid of multiple security and traffic camera feeds displayed on a wall, showcasing live intersections, roads, and infrastructure for smart city monitoring.

From Raw Video to
Real-Time Decisions

Camera as a Universal Sensor (CaaUS) treats every camera as an intelligent, real‑time sensor. It transforms raw video into GIS‑tagged events and streams them via MQTT for instant, consistent decisions at the edge or core.

  • Monitor and act on video insights in milliseconds

  • Drive automation for public safety, traffic, and critical infrastructure

  • Reduce bandwidth by processing at the edge, not just the cloud.

  • Unify video + IoT data in a deployable, scalable architecture.

A Partnership Exceeding Today’s Expectations

Network Optix Nx Go Icon
Network Optix Nx Go

Connects to any camera/sensor, calibrates scenes, detects & classifies events, and maps them to real‑world coordinates to produce GIS‑tagged, analysis‑ready data.

HiveMQ MQTT
HiveMQ MQTT

A high‑performance MQTT broker that moves Nx Go detection data instantly and reliably across local, edge, and cloud systems, at scale and low latency.

Volt Active Data Square Logo
Volt Active Data

An in‑memory decisioning database that fuses & analyzes high‑velocity MQTT streams with millisecond latency, enabling adaptive signals, safety alerts, and system responses.

High‑value, real‑time use cases

Most streaming architectures can’t make a decision without sending data through multiple hops, adding latency, complexity, and cost.

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