Mitigation of wildfire through early and accurate detection of ignitions allows first responders to fight fires efficiently, protecting homes and communities and businesses. N5SHIELD™ offers an integrated network of multi-modal sensors that can be easily and economically deployed on existing infrastructure, including fence posts, to identify and locate wildfire ignitions. Multi-modal data from gas, chemical, particulate and environmental sensors is edge processed and sent to the cloud every 18 seconds, where AI enabled algorithms are able to quickly and accurately identify ignitions and also measure and report poor air quality, smoke and particulates. Alerts and warnings are communicated via API and push notifications with detailed information on local conditions and risks available via dashboard, app and API.
The presentation will discuss the development and deployment of the N5SHIELD™ system within North and South America, including training and analysis of data, location selection, and fire and air quality events detected. The discussion will include consideration of the effect of environmental conditions, terrain and fuels on system design and function.