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Tel +886-2-8646-2111
Email info@axiomtek.com.tw

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AI-Driven Wildfire and Flood Monitoring

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Edge AI and IoT-Based Wildfire Prediction and Real-Time Flood Monitoring Systems
 
The U.N. weather agency issued a “red alert” about global warming in June 2024. Although global efforts to implement environmental policies continue, the world’s attempts to reverse the trend remain insufficient. As extreme weather risks surge, wildfires and floods have become increasingly prevalent in certain areas. Authorities are seeking practical and cost-effective solutions to reduce the impact on citizens, with AI and IoT emerging as key enabling technologies.

Enabling Wildfire Prediction and Detection with IoT and AI

Climate change and land-use change are projected to increase the frequency and intensity of wildfires, with a global rise in extreme fires of up to 14 percent by 2030, according to the UN Environment Programme (UNEP) and GRID-Arendal. Deploying IIoT edge gateways near sensors and cameras to capture temperature, smoke, and wind data allows authorities to gather precise real-time data for wildfire prediction and detection. Axiomtek offers lightweight, power-efficient, and rugged edge gateways compatible with a wide range of sensors and suitable for harsh environments where wildfire prediction is crucial.

ICO300-83M: Anti-Explosion DIN-Rail Gateway for Hazardous Field Sites
Compact Size with Rugged Design
Compact, Rugged, and Power-Efficient

The ICO300-83M, powered by an energy-efficient Intel® Atom® processor with a TDP of no more than 10W, is certified by ATEX and CID2 to ensure safe operation in hazardous sites. It operates within a temperature range of -40°C to +75°C, has a wide 9–36 VDC power input range, and can withstand vibration up to 3 Grms.

Seamless Connectivity and Integration
Rich I/O Options

The ICO300-83M comes in two models: slim type and full type. Both feature 2 x USB, 3 x LAN, 1 x HDMI, and 2 x isolated COM, while the full type offers an additional 4 x COM and 1 x DIO, enabling seamless connectivity with various sensors.

DigiHub and eAPI for Easy Integration
DigiHub and eAPI for Easy Integration

Axiomtek’s DigiHub and eAPI streamline system integration, making it easier for customers to connect with their own devices while accelerating development and deployment.

ICO300-83M
 

Advancing Flood Forecasting and Monitoring Systems with IoT and AI

Studies indicate a future of more frequent catastrophic floods driven by continuous greenhouse gas emissions. Networks of IoT sensors deployed along rivers and flood-prone areas provide real-time data on water levels, rainfall, and soil moisture. Combined with AI and machine learning algorithms, these systems can analyze large datasets from multiple sources to enhance prediction accuracy and deliver timely warnings. Axiomtek offers rugged edge AI computing systems designed for real-time, stable, and high-speed processing required for AI and deep learning workloads.

eBOX671B: High-Performance Edge AI System for Flood Monitoring
Outstanding AI Performance
Designed to Enhance Edge AI Capabilities

The eBOX671B is powered by 14th/13th/12th Gen Intel® Core™ i9/i7/i5/i3 or Celeron® processors and supports MXM 3.1 Type A GPU cards. High-efficiency storage options, including NVMe M.2 and dual 2.5-inch SATA HDD/SSD with RAID support, ensure fast data access and efficient AI processing.

Seamless Connectivity and Integration
Rich I/O and Multi-Display Support

With MXM GPU support, the eBOX671B enables up to five simultaneous displays, making it ideal for monitoring centers. Extensive I/O, including 6 x USB, 4 x COM, 4 x LAN, and a flexible I/O window, allows seamless integration across applications.

Rugged and Sustainable Design
Reliable and Rugged Design

Built with an IP40-rated enclosure, a wide operating temperature range from -40°C to +65°C without MXM, 3 Grms vibration resistance, and 9–36 VDC power input, the eBOX671B is designed for demanding environments. Tested NVIDIA MXM modules and an optional fan kit further enhance thermal performance.

eBOX671B

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