Visual-Inertial SLAM Board | Multi-Camera VIO — MV11

Description

MV11-V1.0 This product is a quad-channel synchronized visual-inertial navigation fusion computing platform, built upon the high-performance Rockchip RK3576 processor. It integrates a high-precision IMU (Inertial Measurement Unit) with four independent MIPI camera interfaces. Through a hardware-level synchronization trigger mechanism, it ensures microsecond-level spatiotemporal alignment between multi-channel visual imagery and motion attitude data.

Leveraging the RK3576's powerful 8-core heterogeneous architecture and AI computing power, the system not only supports the parallel processing of multiple HD video streams but also runs complex SLAM mapping, VIO localization, and AI inference algorithms in real-time at the edge. This provides a solid data foundation for precise perception in dynamic environments.

The product features exceptional sensor compatibility and adaptability to various scenarios, supporting the flexible selection of mainstream high-performance sensors to build customized perception solutions. It is compatible with a variety of low-light and global shutter sensors, including the IMX662, IMX464, OV9281, and AR0234. Combined with the 6-axis attitude compensation provided by the onboard IMU, the system maintains high-precision self-localization and environmental perception capabilities even in extreme conditions such as GPS-denied environments or drastic lighting changes. With the comprehensive advantages of "high computing power + multi-sensor fusion + hardware synchronization," this product extensively empowers cutting-edge fields such as Embodied AI, industrial inspection, and autonomous driving. In humanoid robot applications, it serves as a core perception unit, enabling millisecond-level obstacle avoidance and precise grasping when paired with global shutter cameras. For all-weather industrial inspection, it utilizes starlight-grade sensors to ensure visual safety during night operations. In the field of low-speed autonomous driving and logistics vehicles, it achieves 360° surround view and high-precision navigation through multi-camera visual fusion. Whether for R&D or commercial deployment, this platform is an ideal choice for solving complex machine vision challenges.

Application Scenarios

Visual-enabled terminal products across finance, media, payment, retail, industrial control, education, government/enterprise, and healthcare. It is suitable for application fields such as humanoid robots, smart retail, panoramic cameras, unmanned warehousing, intelligent sorting and delivery, and automated UAV equipment.

Standard Parameters

Motherboard Size

Interface Descriptio

Precautions

During assembly and use, please pay attention to and check the following (and not limited to) problem points:

1. PCBA and electronic components are highly ESD-sensitive. Operators are required to wear ESD wrist straps or gloves before handling boards or assembly to ensure proper static dissipation.;
2. During the installation and fixing process, avoid the motherboard deformation caused by the fixing reasons;
3. Ensure correct MIPI interface alignment during camera installation. Verify the direction of Pin 1;
4. B2B Connector Assembly:Follow the "mate first, screw later" sequence. Align and press the connectors to mate them fully before tightening the four corner screws. This ensures the connector handles vibration stress, while the screws mainly support the weight.;
5. When installing peripherals (USB, IO, ETC), pay attention to peripheral IO levels and current output issues;
6. When installing the serial port, pay attention to whether the RS232 and TTL devices are directly connected, whether the TX and RX connection methods are correct, and whether the level is correct;
7. Whether the input power is connected to the power input interface, and whether the input power voltage, current, etc. meet the requirements according to the total peripherals.