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AI-Powered Natural Disaster Management

AI-Powered Natural Disaster Management

NEXCOM rugged edge AI computing platforms and IoT frameworks enable real-time AI disaster prediction and warning systems

AI is revolutionizing disaster warning systems by integrating IoT, edge computing, cameras, and sensors to enhance disaster prediction. Edge AI computing platforms collect real-time data from on-site sensors and cameras, using pre-trained models to identify early warning signs of disaster. This approach not only significantly improves the performance of complex AI visual applications while also accelerating warning response times. Moreover, IoT frameworks enable flexible deployment of disaster prediction systems across distributed geographical areas. NEXCOM’s ATC series, powered by the high-performance NVIDIA Jetson system-on-module, offers a rugged edge AI computing platform designed for outdoor disaster management.

System Architecture

NEXCOM rugged edge AI computing platforms and IoT frameworks enable real-time AI disaster prediction and warning systems

 

Key Advantages of the NEXCOM’s Edge AI Platform Offerings

Designed for Harsh Environment

Designed for Harsh Environment

With a wide temperature range of -25/-30°C~70°C and an IP67 rating, NEXCOM’s edge computing platforms excel in critical missions and throughout their life cycle.

Unleashing the Potential of Software-Defined Controller
Unleashing the Potential of Software-Defined Controller

In every Edge AI platforms with Jetson modules, NEXCOM offers NEXCOM Accelerator Linux (NAL), an optimized Ubuntu 20.04 LTS derived from the Jetpack SDK. Programmers can access the pre-approved 5G, Wi-Fi, GNSS, IMU and even CAN bus, MCU, I/O interfaces, power management module and more peripherals through in-house design utility and APIs. The physical signals from peripherals and sensors can be used as data sources for AI inference engine, requiring limited knowhow of hardware installation and configuration.

Enabling Cloud and Container Technologies
Enabling Cloud and Container Technologies

The NAL can run containers for AI inference engine, IoT connectivity, datasets storage, ETL, and other applications as microservices in edge deployment. By installing the IoT/Cloud agent, the developers can deploy containers from Cloud service using OTA (Over the Air) technologies.

Validated Peripherals for High Expansion Capabilities
Validated Peripherals for High Expansion Capabilities

NEXOCM’s Edge AI platform accommodates a wide range of validated peripherals ports such as USB, Isolated CAN Bus, RS-232 and DI/O. It also features LTE, 5G, Wi-Fi, Ignition control, PoE+ for IP Camera or MIPI interface Camera, storage and GNSS, making the platform versatile for a multitude of applications.

Military Grade Reliability
Military Grade Reliability

To ensure product reliability and safety, NEXCOM’s edge computing platforms are certified with CE/FCC, UKCA, MIL-STD-810H standards.

Related Products

 

Product
Model Name
NVIDIA AI Processor
Camera Interface
Input Voltage
IP Rating
Military Grade Reliability ATC 3520-IP7-4C NVIDIA® Jetson Orin™ Nano 4 x GbE PoE+ 9~36VDC
(w/ IGN)
IP67
Military Grade Reliability ATC 3530-IP7-4C NVIDIA® Jetson Xavier™ NX 4 x GbE PoE+ 9~36VDC
(w/ IGN)
IP67
Military Grade Reliability ATC 3540-IP7-4C NVIDIA® Jetson Orin™ NX 4 x GbE PoE+ 9~36VDC
(w/ IGN)
IP67
Military Grade Reliability ATC 3750-IP7-6C NVIDIA® Jetson AGX™ Orin 6 x GbE X-coded M12 PoE+ 9~36VDC & 24V rail
(E-Mark, EN50155)
IP67
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