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.
$499.00 – $599.00Price range: $499.00 through $599.00
DIMENSIONS
|
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.
navigation
Offers ready-to-use path planning routines for rapid autonomous navigation development
Mapping
Point cloud mapping constructs the 3D world
Obstacle Avoidance
Real-time stereo depth perception of frontal obstacles
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 |
Contact us
TEL: +8618926195421
Huangmei Road, Huangge Town, Nansha District, Guangzhou City, Guangdong Province, China
Email:[email protected]

Reviews
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