Bionic binocular
164.7° ultra wide field of view
60mm distance between eyes close to human eyes
Capture richer features
Metal reinforcement process
Improved deformation resistance by 245%
Multi-sensor fusion
Viobot2 Fusion of binocular vision、IMU、GNSS (L1+L5)
Effectively improve accuracy and stability
Choose the right configuration
RoboBaton-Viobot2
Convenient integrated development
Computing Power Platform
8 cores up to 24GHz main frequency CPU
High computing power MaliGPU, 6TOPS NPU
4GB/8CB+32GB memory+storage configuration
Bindlestone Fish Eye Camera
60mm baseline distance
Field of view
164.7(D)
164.7(H)
123.8(V)
6 degrees of freedom IMU
Hardware synchronization trigger delay ≤0.6ms
Algorithm output
Visual GNSS coupling output: 10-200Hz
Depth map: 0.5m-5m
Physical parameters
Support interfaces: USB2.0/3.0, Type-C,
RJ45, CAN, I2C, UART
Power consumption: 11w
Weight: 138g
RoboBaton-Mini
Suitable for lightweight integration
Computing Power Platform
2TOPS NPU
16GB LPDDR4XMemory
Bindlestone Fish Eye Camera
60mm baseline distance
Field of view
164.7(D)
164.7(H)
123.8(V)
6 degrees of freedom IMU
Hardware synchronization trigger delay ≤0.6ms
Algorithm output
Visual odometer 20Hz
Physical parameters
Support interfaces: Type-C, UART
Power consumption: 2.7w
Weight: 68g
Protection level: IP68
Test performance
Powerful comprehensive performance helps you easily deploy and quickly integrate
Visual testing interface under Windows, supports Viobot1, Viobot2, Mini
Even in complex environments and light, it can maintain high accuracy and consistency in image capture, and excellent positioning accuracy and stability performance
Depth maps are generated based on the pure visual algorithm of deep learning neural network, with a resolution of up to 240P, which is more stable than traditional algorithms
Pure visual three-dimensional reconstruction algorithm, no need to cooperate with high-performance PC, and the processing speed is 9 times that of the industry-wide algorithm
Parameter table
