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Rugged IP66 Edge AI computer with NVIDIA Jetson Orin™ NX or Orin™ Nano 4x PoE+ GbE via M12 X-coded connectors

Powered by NVIDIA® Orin™ NX or Orin™ Nano SoM bundled with JetPack
IP66 waterproof and dustproof
4x PoE+ GbE via M12 X-coded connectors
1x CAN FD
1x RS232 via M12 A-coded connectors
-25°C to 70°C fanless operation (No throttling at 70°C with 20W TDP Mode)
225 x 136 x 55 mm low-profile design
8V to 35V wide-range DC input with built-in ignition power control

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Product number EPC-JETSON-IP66-4POE
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Specifications

CPU Nvidia Jetson
Chok/Vibration Vibration MIL-STD-810H, Method 514.8, Category 4 Shock MIL-STD-810H, Method 516.8, Procedure I
Digital I/O 1
Driftstemperatur -25°C to 70°C
Ethernet 2
Forsyning 8v~36vdc
Luftfugtighed 10% to 90%, non-condensing
M.2 2
Montering VESA, Wall Mount Ready
mPCIe 1
Mål og vægt 3.0kg
USB 3
VESA standard 75
VGA 1
Dimension 225 mm (W) x 136 mm (D) x 55 mm (H)
CAN Bus Connection 1
Serial Porte 1
EMC CE/ FCC Class A, according to EN 55032 & EN 55035 EN 50121-3 (EN 50155:2017, Clause 13.4.8) (POE version only)

The EPC-JETSON-IP66-4POE is a robust, IP66 waterproof edge AI computer based on the NVIDIA® Jetson Orin™ NX or Orin™ Nano. The series is tailored for demanding applications such as smart city installations, AI inspection in food factories, perception units for outdoor robots, and ADAS for off-highway vehicles. Its compact design combines durability and AI performance at a competitive price, featuring an optimized mechanical design, rugged waterproof connectors, and a standardized cable kit.

Powered by the NVIDIA® Jetson Orin™ NX, the EPC-JETSON-IP66-4POE delivers up to 100 sparse TOPS (INT8) AI inference capability. The platform supports parallel processing of up to 18 simultaneous 1080p video streams, making it ideal for complex image analysis projects. Its advanced architecture leverages NVIDIA’s Deep Learning Accelerator (DLA), enabling efficient AI computation with low power consumption, making the system suitable for battery-powered and mobile applications.

Camera and Sensor Integration

The EPC-JETSON-161V-IP66 supports 6x GMSL2 automotive cameras with pre-configured drivers for CMOS sensors such as IMX390, ISX031, and IMX490, ensuring quick and seamless integration. For applications requiring GigE IP cameras, the EPC-JETSON-162S-IP66 offers 4x PoE+ GbE ports with up to 25.5 W per port for power-demanding devices. Additionally, both models feature a dedicated waterproof GbE port for high-speed data transmission between external computers, LiDAR, or other sensors.

 

Expansion Options

The system offers a flexible hardware platform with:

 

- M.2 B-key socket for 4G LTE/5G NR modules, enabling fast wireless communication.  

- miniPCIe slot, compatible with CAN bus, serial communication modules, or WiFi adapters, providing adaptability to various network and data acquisition needs.  

- CAN FD port and RS232 port, making it ideal for industrial applications and automated vehicles.

 

Temperature and Environmental Durability
The EPC-JETSON-IP66-4POE is designed to operate reliably in extreme environments, with a wide operating temperature range of -25°C to 70°C. Its IP66-certified enclosure protects against dust, water jets, and harsh chemicals, while the built-in anti-vibration design makes it suitable for mobile and stationary applications in challenging conditions.

GPU and Edge AI Specifications
Powered by the NVIDIA® Jetson Orin™ NX, the device features a 1024-core Ampere GPU and a 6-core ARM Cortex-A78AE CPU. This provides not only exceptional AI computation capabilities but also a high degree of parallelism, essential for concurrent applications such as:

- SLAM (Simultaneous Localization and Mapping) for autonomous robots.  
- Real-time detection and classification in video analysis.  
- Edge inference for low-latency applications.  

The EPC-JETSON-IP66-4POE is a comprehensive solution for developers and engineers requiring high performance, flexibility, and reliability in their edge AI applications. It is a platform of choice, paving the way for advanced technologies in the field, ranging from autonomous systems to advanced image analysis in complex environments.