The Stereolabs Edge AI Gateway is a compact gateway powered by NVIDIA® Jetson™ for challenging AIoT mobile and field situations. It is designed to bring spatial perception and understanding at the edge and aggregate, process and analyze data from 3D sensors and equipment.
Empower AI computing at the edge of your camera network with the Edge AI Gateway powered by powerful NVIDIA® Jetson™ for spatial intelligence applications.
Deploy smart 3D cameras anywhere in the field using PoE+, enabling long-range and outdoor coverage, simplified cabling infrastructure and easier maintenance.
With a rugged aluminium and fanless chassis, this embedded computer packs the power of a supercomputer into a small form factor (109 x 92 x 52 mm).
The Edge AI Gateway can be used for a growing number of industrial use-cases such as video analytics, robotics, interactive experiences, and many more.
Unleash the full capabilities of ZED camera series. Easily and seamlessly connect to all ZED camera models for fast ingest and processing of the live 3D data.
The Edge AI Gateway is a ruggedized and field-tested embedded system, which makes it suitable for 24/7 deployment in many types of environments.
Built for edge computing, the Stereolabs Edge AI Gateway can be mounted on a wall, DIN rail or robot at the edge of the network enabling you to collect, secure, analyze and act on data from any ZED camera. Powered by an NVIDIA Jetson processor, the Stereolabs Edge AI Gateway can perform AI locally, sending only meaningful data over the network.
With up to 21TFLOPS of accelerated computing, the Edge AI Gateway delivers the required horsepower to run modern neural networks in parallel and process 3D data in real time allowing for a complete, integrated AI system.
Mount the Edge AI Gateway on a wall or in a mobile system, connect your 3D camera and power source, or use PoE+ for simplified cabling infrastructure.
The Edge AI Gateway comes pre-configured with the latest NVIDIA JetPack enabling a fast and efficient implementation of your own application.
Use a modern, cloud-based platform to monitor your live video stream, remotely control your gateway and sensors, deploy apps and collect data.
Combine ZED stereo cameras with an Edge AI Gateway powered by NVIDIA Jetson to bring unprecedented intelligence to any system.
NVIDIA® Jetson™ TX2 module gives you exceptional speed and power-efficiency in an cost-effective embedded AI computing device.
NVIDIA® Xavier NX delivers up to 21 TFLOPS, making it ideal for high-performance compute and AI in embedded and edge systems. Xavier NX is the platform of choice to run multiple modern neural networks in parallel and process high-resolution 3D data.
Hardware + Software
Benefit from leading-edge multi-sensor, high resolution smart stereo cameras ready for deployment in the field.
Well-documented and easy-to-use C++ and Python API for building real-time space-aware applications on desktop and embedded platforms.
Build with ROS, Unity, OpenCV, deep learning frameworks and many more tools and plugins compatible with ZED.
Use a modern, cloud-based platform to monitor remotely your cameras and collect data.
The Stereolabs Edge AI Gateway comes with two NVIDIA® Jetson™ Module options. Choose between NVIDIA TX2 NX and NVIDIA Xavier NX for more performance.
| Edge AI Gateway - TX2 NX | Edge AI Gateway - Xavier NX | |
|---|---|---|
| AI Performance | 1.33 TFLOPS | 21 TFLOPS |
| GPU | 256-core NVIDIA Pascal™ GPU | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores |
| CPU | Dual-Core NVIDIA Denver 2 64-Bit CPU and Quad-Core ARM Cortex-A57 MPCore | 6-core NVIDIA Carmel ARM 64-bit CPU |
| Memory | 4GB LPDDR4 - 1600Mhz |
8GB LPDDR4x - 1600Mhz |
| Jetson Power Modes | 7.5W | 15W | 10W | 15W |
| I/Os | 1x USB 3.0 1x USB 2.0 OTG (Flash) 1x Gigabit Ethernet 1x HDMI |
|
| Drive/Storage | eMMC 16GB SSD 256GB M.2 NVMe |
|
| Operating System | Ubuntu 18.04 (L4T) | |
| Power | PoE+ (30W) or DC-IN (12-48V). | |
| Dimensions | 109 x 92 x 52 mm (LxWxH) 4.3 x 3.6 x 2.0 inches |
|
| Weight | 1 kg (2.20lb) | |
| Operating Temperature | -20°C to +60°C (-4°F to 140°F) with 0.5 m/s airflow | |
| Mounting Options | 84x45mm mounting holes, wall (brackets provided) and DIN-rail mounting | |
| Case | Black aluminium case passively cooled | |
