The U.N. weather agency issued a “red alert” about global warming in June 2024. Even though global efforts to implement environmental policies, the world’s efforts to reverse the trend remain inadequate. As extreme weather risks surge, wildfires and floods have become prevalent issues in certain areas. Authorities are seeking practical and cost-effective solutions to lower the impact on citizens, with AI and IoT emerging as key technologies.
Fulfilling Wildfire Prediction and Detection by 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-sufficient, 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 Site
Compact, Rugged, and Power-Efficient
The palm-sized ICO300-83M, powered by an energy-sufficient Intel Atom® processor with a TDP of no more than 10W, is certified by ATEX & CID2 to ensure safe operation in hazardous sites. It operates within a temperature range of -40°C to +75°C, has a wide power input range of 9-36 VDC, and can withstand vibration up to 3 Grms.
Rich I/O Options
The ICO300-83M comes in two models: slim type and full type. They 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. The gateway facilitates connectivity with various sensors with its rich I/O options.
DigiHub and eAPI for Easy Integration
Our DigiHub and eAPI streamline integration for customers, making connecting with their own devices easier and optimizing their development speed.
Advancing Flood Forecasting and Monitoring System with IoT and AI
A study published on Monday signals a future of more frequent catastrophic floods due to continuous greenhouse emissions. Many countries have developed evolving flood forecasting and monitoring systems enhanced by AI and IoT. Networks of IoT sensors deployed along rivers and flood-prone areas provide real-time data on water levels, rainfall, and soil moisture for accurate and timely flood forecasting and warnings. Combined with AI and machine learning algorithms, these systems can analyze large datasets from various sources to enhance flood prediction accuracy. Axiomtek offers a series of rugged edge AI computing systems designed for real-time, stable, and high-speed processes required for executing AI and deep learning algorithms.
eBOX671B: Empowered by High-Performance Intel® Core™ CPU and Supports MXM 3.1 Type A Connector for GPU Cards
Designed to Enhance Edge-AI Capabilities
The eBOX671B, powered by the high-performance 14th/13th/12th gen Intel® Core™ i9/i7/i5/i3 or Celeron® processor, is compatible with MXM 3.1 Type A GPU cards. Moreover, its high-efficiency storage options, including NVMe M.2 2280 and 2 x 2.5" SATA HDD/SSD (supports RAID 0,1), ensure fast data access and efficient data processing.
Rich I/O & Quad View Support
With the support of the MXM module, the eBOX671B supports up to five displays simultaneously, making it ideal for deployment in monitoring centers. Additionally, it features extensive I/O options, including 6 x USB, 4 x COM, 4 x LAN, and a flexible I/O window compatible with mini card modules, accommodating a wide range of applications effortlessly.
Reliable & Rugged Design
The eBOX671B is engineered to endure challenging industrial environments with its IP40-rated construction, wide operating temperature range of -40°C to +65°C (without MXM), 3 Grms vibration resistance, and 9 to 36 VDC power input. For applications requiring edge-AI computing, Axiomtek offers tested NVIDIA MXM modules with a thermal solution. An optional fan kit is also available to enhance temperature endurance for higher performance needs.
