| Company | Forestry Corporation NSW / PaModel AI |
| Country | Australia |
| Website | https://www.nsw.gov.au/ministerial-releases/roll-out-of-australias-largest-early-fire-detection-camera-network-nsws-soft-wood-state-forests |
| Category | Protection & compliance › Remote sensing & mapping |
Cameras installed on forest fire towers across the state to detect fires early
A fire detection camera network is a system of fixed or pan-tilt-zoom (PTZ) cameras deployed across a landscape — typically on elevated infrastructure such as fire towers, communication masts, or hilltops — that continuously monitor the environment for signs of smoke and fire, transmitting imagery to a central operations centre for automated analysis or human review. Modern fire detection camera networks combine high-resolution optical cameras, sometimes supplemented by thermal infrared cameras, with artificial intelligence algorithms capable of distinguishing smoke plumes from dust, clouds, fog, and other visual artefacts that have historically caused false alarms with simpler detection systems. The AI-based smoke detection software analyses each camera frame in real time, flagging potential ignitions and triangulating the fire's location by correlating detections from multiple camera positions — a process that can pinpoint a fire's coordinates to within a few hundred metres. In Australia, where the scale and ferocity of bushfires pose an existential threat to plantation and native forest assets, camera-based detection networks have been deployed across major forested regions. The AlertWildfire and similar networks in North America have informed the development of Australian systems, and companies including Dryad Networks and ALERTCalifornia have contributed technology that is being evaluated for Australian conditions. State governments including those of Victoria and South Australia have invested in expanding camera coverage across high-risk plantation zones, integrating camera detections with incident management platforms used by fire agencies such as the Country Fire Authority (CFA) and the Department for Environment and Water. The ability to detect fires during the first few minutes after ignition — when suppression resources can still contain them at low cost — is the primary operational benefit of these networks, and studies have shown detection times substantially shorter than those achievable through public reporting or aerial patrol. Integration with automated weather station data further enhances the system's ability to predict fire spread immediately after detection.
Strong for reducing wildfire risk through rapid detection and response, but contributes only indirectly to productivity by helping protect existing forest assets rather than improving forest processes.
| Field | Value |
|---|---|
| Company | Forestry Corporation NSW / PaModel AI |
| Country | Australia |
| Type | Company |
| Available in AU? | yes |
| FWPA RD&E | 2.2 |