3D Stereo Vision Camera Viobot2

  • 3D Stereo Vision Camera + IMU + GNSS + Relocalization via map, Support RTK Fusion;
  • Low Cost, High Performance;
  • All-Environment Versatility,Stable operation indoors, outdoors, in urban canyons, or open areas;
  • Advanced Perception,Depth-Based Obstacle Detection,Capable of object detection and semantic segmentation;Intelligent Navigation Planning.

Price range: $499.00 through $599.00

CPU

Cortex-A76*4 + Cortex-A55*4, up to 2.4GHz

GPU

Support OpenGL ES1.1/2.0/3.1/3.2

NPU

6TOPS

Memory & Storage

4GB + 32GB

Resolution @ frame rate

640x480 @ 40fps

Depth Range

0.1m-3m

Baseline(mm)

60

FOV

164.7°(H),164.7°(D),123.8°(V)

PRODUCT DETAILS

Shutter Type

Global shutter

Interface

USB2.0/3.0、Type-C、RJ45、CAN、I2C、UART、SMA

Power supply

DC 9~24V

Transport protocol

HTTP/ROS1/ROS2

Power Consumption

11W

Interface

USB2.0/3.0、Type-C、RJ45、CAN、I2C、UART、SMA

Powerful chip, enabling superior performance

Powered by the 3588 chip, its robust computing capability delivers superior performance

All-in-One Solution, Powered by Intelligence

An integrated autonomy platform, fusing sensors, algorithms, and compute. Empowers robots across industries with precise localization, real-time mapping, and robust navigation in unknown environments.

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navigation

Offers ready-to-use path planning routines for rapid autonomous navigation development

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Mapping

Point cloud mapping constructs the 3D world

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Obstacle Avoidance

Real-time stereo depth perception of frontal obstacles

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Location

Stereo module,Centimeter Accuracy Anywhere

Powerful chip, enabling superior performance

Enables precise obstacle avoidance at speeds up to 2m/s for drones, lawn robots, and other low-speed platforms through stereo fisheye depth perception

Just Add an RGB Camera for Precise Object Segmentation

We support the addition of an RGB camera to enable object recognition and semantic segmentation, such as grass segmentation and target tracking

From Reality to Digital, 3D Reconstruction at One Click

Our proprietary 3D reconstruction algorithm runs 9 times faster than industry counterparts

Extensive Interfaces for Rapid Deployment

Offers rich data interfaces to minimize sensor calibration efforts, with full support for flexible secondary development

Customer Reviews

FAQ

1. Q: What type of vision system does the Viobot2 use?
A: The Viobot2 uses a stereo vision system based on dual fisheye cameras combined with a global shutter sensor, enabling accurate depth perception and robust visual processing in dynamic environments.


2. Q: Does the Viobot2 support real-time localization and mapping?
A: Yes. The module integrates stereo vision, IMU, and onboard computing to provide real-time visual odometry and SLAM, enabling continuous localization and mapping without external positioning systems.


3. Q: What is the depth sensing capability of the camera?
A: The Viobot2 provides short-range depth perception (approximately 0.1 m to 3 m), making it suitable for obstacle avoidance, indoor navigation, and 3D environment sensing.


4. Q: What computing capability does the Viobot2 provide?
A: The module integrates onboard computing with up to 6 TOPS AI performance, allowing real-time processing of visual algorithms such as depth estimation, mapping, and navigation.


5. Q: What interfaces are available for integration?
A: The Viobot2 supports multiple interfaces including USB, Ethernet, UART, I2C, CAN, and Type-C, enabling flexible integration into robots, drones, and embedded systems.


6. Q: Can the Viobot2 operate in GPS-denied environments?
A: Yes. The system relies on visual-inertial fusion rather than GNSS, allowing reliable operation in indoor or GPS-denied environments such as warehouses, tunnels, and industrial facilities.

Applications

Electrical Inspection

Traffic Inspection

Fire Prevention

Emergency Rescue

Weight 0.145 kg
Accessories

With GNSS

,

Without GNSS

System

ROS1

,

ROS2

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Contact us

TEL: +8618926195421

Huangmei Road, Huangge Town, Nansha District, Guangzhou City, Guangdong Province, China 

Email:[email protected]