Streetlighting infrastructure is undergoing a silent revolution — one that’s reshaping how cities operate, manage assets, and deliver public value. In this session, we’ll showcase how Zhaga sensors are turning everyday streetlights into powerful data and sensing hubs using Zhaga Book 18–compliant edge AI sensors. These plug-and-play devices enable state & local governments, transport departments, planners and utilities to rapidly collect data needed for decision making and deploy smart city capabilities at scale, without major infrastructure overhauls.
This presentation will explore how these sensors are already being used by Australian and European utilities and councils to collect real-time traffic, parking, and pedestrian data, helping inform everything from capital works planning to community safety initiatives. Importantly, this same Edge AI infrastructure enables adaptive dimming that dynamically responds to footfall or traffic and prepares councils for upcoming Type 9 metering changes — unlocking cost savings on lighting through reduced energy costs while maintaining compliance and helping local governments meet sustainability and budget targets simultaneously.
For asset managers and public works professionals, this represents a future-proofed, standards-based solution that supports smart infrastructure goals without complex deployments and expensive ongoing costs.
By examining the role of privacy-preserving edge AI in public environments, with live examples and lessons from current deployments, this talk will highlight how EdgeMachines and our Australian made sensors are helping shape tomorrow’s cities using infrastructure that already exists. We'll demonstrate how cities can harness streetlight-mounted sensors to build a flexible, scalable, and privacy-respecting backbone for smart city applications — not in 10 years, but today.