NetraVis_USB

NetraVis_USB Depth You Can Trust.

✨ Introductory Launch Offer !!

Active Stereo USB Camera

  • Active stereo depth camera with dual global-shutter sensors
  • 1080x720 depth @ 30 fps; 544×360 depth @60 fps (binning mode)
  • Plug-and-play USB 3.0 Type-C connectivity
  • 100 mm stereo baseline
  • GMSL2 Option - On Request

Sample price

USD 349

USD 299

Offer valid until 23rd Oct 2026

Highlights

Reliable Depth in Challenging Environments

Accurate depth on reflective and dark surfaces, via IR-assisted active stereo.

Consistent Depth Measurements

High-accuracy depth data with excellent frame-to-frame consistency.

Dense Point Cloud Reconstruction

Delivers detailed point clouds for enhanced 3D reconstruction.

Real-Time Edge AI Processing *

On-camera NPU enables AI inference at the edge, offloading vision processing from the host CPU.

RGB & Inertial Sensing

Global-shutter RGB sensors and 6-axis IMU add color and motion context to every depth frame.

Full SDK & ROS 2 Support

Python/C++, OpenCV, and ROS 2 packages for rapid development.

NetraVis in Action

NetraVis original image 1

RGB

NetraVis depth image 1

Point Cloud (depth)

NetraVis original image 2

RGB

NetraVis depth image 2

Point Cloud (depth)

NetraVis RGB Object 1

RGB

Point Cloud (depth)

NetraVis RGB Object 2

RGB

Point Cloud (depth)

Specifications

NetraVis_USB is a 1MP Global Shutter Active Stereo Depth Camera designed for indoor 3D vision applications in robotics and industrial automation. It features dual 1MP global-shutter sensors spaced on a 100 mm baseline, working with IR-assisted active stereo to deliver ≤ 0.5% depth accuracy at 1 m, including on reflective and low-texture surfaces. An integrated 6-axis IMU provides inertial data, while the camera delivers accurate depth data up to 6 meters.

An onboard NPU enables real-time AI inference for applications such as object detection and segmentation at the edge. This reduces the processing load on the host system and supports faster vision workflows.

NetraVis_USB connects over USB 3.0 Type-C, works out of the box on Linux, and needs no lens calibration during integration. Its compact, low-power design makes it perfect for AMRs, ASRS, collaborative robotic arms, pick-and-place systems, and any application needing precise Depth-to-Color (D2C) registration.

Parameter Value
3D Technology Active stereo
Depth sensors Two monochrome, global shutter
Baseline 100 mm
Depth accuracy ≤ 0.5% @ 1 m
Depth range 0.19 m (binning) – 6 m;
0.38m - 6m
Depth FOV (H × V) 88° × 68°
Depth full resolution 1080 × 720
Depth binning resolution 544 × 360
Depth frame rate 1080×720 @ 30 fps ; 544×360 @ 60 fps
Depth output format 16-bit Z-depth map (mm, unsigned short); disparity / point cloud / colorized depth via SDK
Depth compute On-board ASIC
Wavelength 850 nm IR filter
Parameter Value
RGB sensor Single, global shutter, 1 MP
RGB resolution 1280 × 720 @ 30 fps
640 x 480 @ 60 fps
RGB FOV (H × V) 95° × 65°
RGB output format BGRa
Module output Depth, IR and RGB
IMU 6-axis
Interface USB 3.0, Type-C
Focus Fixed focus

Mechanical & Environmental

Parameter Value
Dimensions 124 × 27 × 25.5 mm (±0.5 mm)
Weight 109 g
Launch date Launch date
Parameter Value
Operating voltage 5 V, 1.5 A
Typical power consumption ≤4.5 W
Operating temperature -10°C to 50°C

* - Under Development

Software & Integration

Python wrapper & examples

Depth, IMU, RGB and point-cloud sample code using the our SDK, plus OpenCV demos.

C++ sample code

Applications covering depth, IMU, RGB, OpenCV, point cloud and on-camera AI model inference.

ROS 2 support

Full ROS 2 packages

Documentation

README files and setup/API documentation for fast bring-up.

Target Applications

Autonomous mobile robots

Autonomous mobile robots (AMR) / AGVs

Autonomous forklifts

Automated Storage and Retrieval System (ASRS)

Delivery robots

Humanoid robots

Obstacle detection

Robotic Arms

FAQ

≤ 0.5% accuracy at 1 meter.

0.38m - 6m in full resolution mode.

USB 3.0 over a Type-C connector.

A Python wrapper, C++ sample applications, ROS 2 packages, and OpenCV demos, with accompanying documentation.

Ask eVA - The Vision Expert