Network Optix will be in Atlanta to unveil the latest release of its Nx Go ‘Camera as a Universal Sensor’ update, demonstrating how any camera can become a geo-coordinated IoT sensor and provide precise, real-time intelligence to modern transport systems.
The centrepiece of the stand will be a live 3D map of Curiosity Lab at Peachtree Corners. Hundreds of fixed, mobile, and body-worn cameras will be shown in operation; each video stream is automatically onboarded by Nx AI Manager, which can deploy any neural network model — vehicle classification, pedestrian detection, number plate recognition, you name it — to edge hardware with a single click. Inference happens on-site, keeping latency below one second and bandwidth costs low.
Every detected object is converted into GeoJSON, a spatially rich format that includes class, confidence, world coordinates, and a persistent track ID. Nx Go then publishes these messages to standard MQTT topics, allowing signal controllers, digital twins, incident management consoles, or data lakes to subscribe — just as they would for temperature or air quality sensors.
The workflow scales from a single intersection to an entire metropolis: tens of thousands of cameras and other IP-based sensors can stream simultaneously without re-architecting the network or altering the core application. Visitors will be able to subscribe to the live MQTT feed on their phones, watch objects appear on the map in real time, and export the data directly into their preferred analytics tools.
With Nx Go, Network Optix is turning untapped video into structured, machine-readable data that cities can trust and act on — within minutes, and without proprietary lock-in.
Stand 817
