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Develop the Next Generation of 3D Visual AI

Break the limits of conventional 3D stereo vision with higher resolution, larger field of view and integrated AI.


HemiStereo® NX

Meet the World’s Most Powerful AI-enabled Stereo Vision Camera.

HemiStereo NX AI-enabled Stereo Vision Camera

Key Features

Integrated Edge AI

Integrated Edge AI

With powerful integrated computing your AI application runs autonomously at the edge – no external computing, no cloud required. HemiStereo® NX is available with both NVIDIA® Jetson Nano™ and Jetson Xavier NX™.

ultra-high resolution

Ultra-High Resolution

Two Sony IMX477 12.48 mega-pixel CMOS sensors create a highly detailed image of the scene. HemiStereo® Deep Neural Network based stereo matching allows calculation of depth maps with up to 12 mega-pixel resolution in real-time.


Robust and Fanless Design

HemiStereo® NX features a robust body machined from a solid piece of aluminum together with basic ingress protection. Heat is dissipated by an optimized fin design eliminating any active fans and moving parts.

world's widest field-of-view

World’s Widest Field-of-View

Conventional stereo vision cameras are limited to a field-of-view of up to 120°, due to limitations of perspective projection. Our unique HemiStereo® technology enables depth sensing for opening angles of 180° and beyond.

made for developers

Made for Developers

HemiStereo® NX makes the development of AI-powered 3D vision applications easier than ever. With full root access to the Linux4Tegra OS, flexible IO and an easy-to-use Software Development Kit there are no limits to your application.

Capture the World with Incredible Detail

With a resolution of up to 12 million pixels, HemiStereo NX enables a new era of ultra-high-resolution depth sensing. Discover how the precise 3D measurement captures the world with incredible detail.

New Opportunities for Your Application

Unlimited Flexibility

Due to the GPGPU architecture of the integrated NVIDIA® Jetson platform, HemiStereo NX offers unlimited flexibility for the development of visual AI applications.

Get Started in Minutes
HemiStereo Viewer Window
Get Started in Minutes
All HemiStereo NX sensor units ship with a pre-loaded and calibrated version of the HemiStereo Core. With the HemiStereo Viewer software you can access 3D and image data remotely from your computer, configure the sensor or record sequences.
Works with Your Favorite Tools
HemiStereo Software Ecosystem
Works with Your Favorite Tools
HemiStereo NX is compatible with a wide selection of programming languages, interfaces and software frameworks, including the most popular deep learning and computer vision frameworks.
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Lens Configuration

Choose between a pair of ultra-wide-angle fish-eye lenses or rectilinear wide-angle lenses, matching the camera to your application. Refer to the Model Selection Guide or contact our sales team for help with your choice.

HemiStereo NX Lens Options

Fisheye (HS-NX-180)

2.0 mm Fisheye
Aperture: F/2.2
Filter: 650nm IR-cut filter

Wide-Angle (HS-NX-90)

2.7 mm Low-Distortion Wide-Angle
Aperture: F/2.8
Filter: 650nm IR-cut filter

Embedded Computing

HemiStereo NX can be purchased as a bundle with one of both Jetson Developer Kits. While Jetson Nano provides great affordability, Jetson Xavier NX brings the maximum performance for real-time applications.

HemiStereo NX Edge AI Configuration

Jetson Nano™ (-N)

1.43 GHz Quad-Core
128 CUDA ® Cores

Jetson Xavier NX™ (-X)

1.90 GHz Six-Core
384 CUDA® Cores

Depth Sensing


HemiStereo® using Deep Neural Network stereo correspondence matching.

Depth Resolution¹

up to 4096 (H) × 3072 (V)

Field of View

HS-NX-180: 180° (H) x 145° (V)
HS-NX-90: 85° (H) x 67° (V)


0.3 mm @ 1 m
8.2 mm @ 5 m

¹ On the model with NVIDIA® Jetson Nano™ (HS-NX-___N) depth resolution is limited to 2048 × 2048 in SGM mode, due to RAM limitations.

² These axial precision values are result of calculation of the theoretical maximum based on the given stereo camera setup. Practical values may be affected by image noise, ambient illumination and surface texture.

Image Sensors

Sensor Technology

Dual high-resolution Sony IMX477 12.48 MP Stacked Back-Side Illuminated

Image Resolution

4072 (H) × 3064 (V)

Sensor Area

1/2.3 type sensor area and 1.55µm pixels, 2×2 binning for low-light applications


Electronically synchronized, rolling shutter



DC jack,
Power supply included


HDMI and DisplayPort Connector


4x USB 3.0 Type-A (-N)
4x USB 3.1 Type-A (-X)
1x USB 2.0 Micro-B


RJ-45, 10/100/1000 BASE-T Ethernet


Remote Access

Web-based interface for camera configuration and data visualization


gRPC and REST APIs for easy integration within customer applications


C++ and Python API for developing of applications running on the device or on external host computer

Compatible Frameworks

Interfaces to common third-party libraries (OpenCV, ROS)


Dimensions HemiStereo NX


200 mm x 87 mm x 45 mm
(7.87 in x 3.43 in x 1.77 in)


850 g

Mounting Options

1x 1/4-20 UNC tripod screw
2x M4x0.7

Instant AI with HemiStereo NX

You’re ready to get started? Find everything you need to get started in our online documentation or watch our video tutorials.

Video Thumbnail - Instant AI with HemiStereo NX Ep. 1

First Look & Overview

We would like to introduce you to our latest product HemiStereo NX. It is a powerful depth sensing camera with advanced features such as integrated AI computing, an ultra-wide field of view of up to 180° and both image and depth resolution of up to 12 million pixels per frame.

Video Thumbnail - Instant AI with HemiStereo NX Ep. 2

Getting Started

We designed HemiStereo NX to make it as easy as possible to get started. Right out of the box everything comes pre-built, pre-calibrated and pre-installed. If you’re a developer this gives you a great entry point for you own Visual AI application.

Video Thumbnail - Instant AI with HemiStereo NX Ep. 3

Using the Python API

Based on the gRPC protocol HemiStereo NX offers APIs for a wide range of programming languages including Python. In this video we show how to set-up a Jupyter Notebook running directly on the Jetson inside the camera. Within the notebook we demonstrate how to receive sensor data using the Python API.