Robotics Camera for AMRs and UGVs

We provide GMSL™ automotive-grade cameras designed for outdoor unmanned ground vehicles (UGVs) and autonomous mobile robots (AMRs). Our robust cameras are already deployed across a wide range of applications, including self-driving trucks, sidewalk delivery robots, autonomous haulage vehicles, autonomous yard shifting, and autonomous farming equipment. Built for harsh environments, our GMSL™ cameras deliver high reliability, exceptional image quality, and seamless integration with edge computing platforms.

Precision manufacturing

In-house 5/6-axis active alignment (AA) ensures excellent image sharpness and flexible, scalable production, enabling the manufacturing of over 60 different specifications with pixel-level (1-pixel) precision.

Proven reliability

Passed 20+ automotive-grade tests, including random vibration, mechanical shock, IP67/IP69K ratings, temperature cycling, and splash ice water shock, compliant with ISO 16750 standards.

Trusted by global OEMs

Adopted by several automotive OEMs, including Daimler Truck, Toyota, and Xpeng, with over 1.2 million automotive cameras shipped to date.

Support edge AI & IPC integration

Our cameras are compatible with leading edge AI modules, including NVIDIA Jetson AGX Orin™, Orin™ NX, Orin™ Nano, and Intel® Core™ Ultra 7/5. They are seamlessly integrated with industrial PCs from Advantech, ADLINK, AVerMedia, Axiomtek, C&T, Neousys, SINTRONES, Vecow, and more, ensuring robust deployment in edge AI and industrial environments.

The VIO (Visual-Inertial Odometry) camera integrates an Inertial Measurement Unit (IMU) to deliver data on acceleration and angular velocity after using the Kalman filter. This enables effective compensation for vibrations, offering stable image output and more accurate distance measurement. The camera enhances navigation and obstacle avoidance capabilities for autonomous robots and unmanned vehicles, ensuring reliable performance in dynamic real-world scenarios.

Vibration Compensation for Accurate Localization

Rough terrains and uneven surfaces often cause vibrations that degrade the performance of visual SLAM systems. By fusing IMU data with visual inputs, the VIO camera compensates for distortions in real time, enhancing depth estimation accuracy and reducing localization errors. This ensures reliable navigation and obstacle avoidance even under highly dynamic outdoor conditions.

Compact Integration with Onboard Processing

The camera integrates both an IMU and an MCU directly into the module, creating a compact and self-contained system architecture. The built-in MCU runs an Extended Kalman Filter on 6-axis IMU data (accelerometer + gyroscope), offloading processing tasks from the central ECU while still delivering reliable orientation and motion data. This design reduces wiring complexity, saves space, and enhances system reliability, making it ideal for edge AI deployments.

Automotive-Grade Reliability for Harsh Environments

Engineered to meet stringent automotive standards, the VIO Camera is built for long-term stability in outdoor environments. Its robust design withstands continuous vibration, extreme temperatures, direct sunlight, rain, and dust. The durability ensures consistent performance for AMRs, UGVs, and other robotic platforms operating in challenging real-world conditions where reliability cannot be compromised.