Specifications
Family
ZED X, ZED X Mini and ZED X Nano stereo cameras plus the ZED Box Mini edge computer and the ZED Link Capture Card Duo
ZED X
120 mm baseline, 164 x 32 x 37 mm, 240 g, from USD 599, depth range 0.15-12 m / 0.3-20 m, detection to 20 m in 3D and 40 m in 2D
ZED X Mini
50 mm baseline, 94 x 32 x 37 mm, 150 g, from USD 549, depth range 0.3-20 m / 1.0-35 m, detection to 20 m in 3D and 40 m in 2D
ZED X Nano
18 mm baseline, 42.0 x 30.5 x 33.8 mm, 75 g, from USD 399, ideal depth 0.05-1.5 m, maximum 0.03-2.0 m
Sensors
Dual global shutter image sensors with 2.3 MP class resolution, native 16:10 aspect for extra vertical field of view
Interface
GMSL2 serial coax over FAKRA-Z connectors with power over coax; up to 15 m cable reach
Capture Hardware
ZED Link Capture Card Duo (USD 379) bridges ZED X cameras to the NVIDIA Jetson Orin and Xavier CSI ports
Host Platforms
NVIDIA Jetson Orin AGX, Orin NX and Xavier, running Jetson L4T
Sync
Multi-camera hardware synchronisation and external triggering across the GMSL2 link
IMU
Built-in 6-axis IMU on the Nano and integrated visual-inertial sensing across the family, with thermal compensation
Object Detection
Persons, vehicles and custom objects with 2D/3D bounding boxes, tracking IDs, speed and segmentation masks; skeleton tracking up to 15 m on ZED X and ZED X Mini
Software
ZED SDK with CUDA depth, plus ROS, ROS 2, Isaac ROS, Isaac Sim, Isaac Lab, Unity, Unreal, OpenCV, PyTorch, Docker, MATLAB and PCL integrations
Operating Temperature
-20 °C to +55 °C on ZED X and ZED X Mini; 0 °C to +50 °C on ZED X Nano
Country of Origin
France; EAR99, RoHS 3 compliant, 2-year hardware warranty
Overview
Stereolabs' ZED X family splits one stereo sensor architecture across three physical baselines so that depth range follows mechanical fit rather than the other way around. The full ZED X carries a 120 mm baseline and reaches 0.15 m to 12 m, and up to 20 m in its extended mode — long-range perception for AMRs, vehicles and site surveying. The ZED X Mini halves that to a 50 mm baseline in a 94 mm housing with 0.3-20 m coverage, which is the general-purpose robot camera. The ZED X Nano compresses to an 18 mm baseline and 42 mm body for wrist and end-effector mounting with a 5-150 cm sweet spot.
All three share GMSL2 over FAKRA-Z coax with power over coax, hardware synchronisation and external triggering, and they connect to NVIDIA Jetson Orin and Xavier hosts through a ZED Link Capture Card Duo rather than a USB or Gigabit Ethernet port. That matters for robotics: coax carries power and data over a single thin cable up to 15 m, tolerates vibration and EMI far better than USB, and lets several cameras be triggered in lockstep for wide-baseline or surround rigs.
The software layer is where the family earns its keep. The ZED SDK provides depth, tracking and spatial mapping over CUDA, and Stereolabs maintains first-class ROS and ROS 2 wrappers, native Isaac ROS integration and matched camera models for Isaac Sim and Isaac Lab. A team can therefore capture data on hardware, train in simulation with a camera model that matches the real sensor's intrinsics and noise, and deploy back to the same camera — the sim-to-real loop that modern Physical AI pipelines depend on. ZED Box Mini provides a compact Orin-based host with GMSL2 support for deployments that need the whole stack in one enclosure.
Key Benefits
Pick a baseline, not a compromise — 120 mm, 50 mm and 18 mm variants cover long-range survey, general robot perception and wrist-mount manipulation. GMSL2 robustness with power over coax, 15 m runs and vibration tolerance instead of USB. Single software stack across the whole family via the ZED SDK. Sim-to-real ready with native Isaac Sim and Isaac Lab camera models and ROS / ROS 2 support. Multi-camera synchronisation for surround and wide-baseline rigs. Open, extensible integration spanning Unity, Unreal, OpenCV, PyTorch, Docker and MATLAB. Turnkey host option with the ZED Box Mini.
Applications
Autonomous mobile robots and AGVs for navigation and obstacle detection. Humanoid and robotic-arm manipulation at end effectors. Construction, agriculture and off-road autonomy. Intelligent transportation and vehicle perception. Volumetric capture and spatial mapping. Physical AI data collection and imitation learning pipelines. Warehouse automation and inventory robotics.
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