AEM has debuted its Multi-Source Hazard Detection technology at Meteorological Technology World Expo 2024 in Vienna, Austria.
Now integrated within the AEM Elements 360 application, Multi-Source Hazard Detection enhances the identification of and response to diverse environmental threats. By leveraging data from multiple sources, the technology delivers unmatched speed, accuracy and confidence in detecting potential hazards across geographically linked areas.
The initial application of this capability, Multi-Source Ignition Detection, centralizes and analyzes wildfire risk data from a wide range of advanced technologies, including visual AI smoke detection, lightning detection networks, satellite hotspot monitoring, air quality sensors and fire weather forecasting. These data streams are cross-referenced in real time to confirm ignitions rapidly, reducing false alarms and delays caused by relying on single-source detection.
Collaborative resilience enables geographically linked organizations to share critical environmental insights, fostering better preparedness and coordinated responses across regions. The Multi-Source Hazard Detection capability in AEM Elements 360 is a key enabler of this approach, allowing partners to aggregate and analyze data from multiple sources and jurisdictions.
Mark D. Miller, AEM’s chief commercial officer, explained, “AEM’s Multi-Source Hazard Detection technology is a platform that brings together a wide array of data sources needed to support critical decision-making, particularly in the area of natural hazards. We focus on weather, wildfire and flash floods. By integrating all this information into our platform, we support the types of decisions that need to be made quickly. In natural hazards, minutes matter, so having all that information readily available and actionable can mean the difference between life and death. Additionally, we have unique product sets that provide critical insights into hazards, such as real-time flood modeling and fire behavior modeling.
“Combining it with cameras and AI, we have a system that can monitor risk effectively. Our primary differentiators include leveraging proprietary networks, such as our global Lightning Network, which is crucial since lightning is a top cause of wildfires in the western US. By combining this data, we can make decisions efficiently and accurately, enabling people to take action to reduce risk.
“We decided to launch this product at Meteorological Technology World Expo because it’s a signature event for this type of technology. Also, the target market at this show is very attractive. More importantly, our partners are here. We work with partners worldwide to deliver these capabilities, helping them grow their businesses with new technology. It’s an excellent event for showcasing our innovations. I mean, just the traffic we’ve had today has been a big highlight for me.”
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