RGB 2K Camera | Dual-MEMS IMU | Effortless Plug&Play | ROS 2 Native | USB Type-C Interface
– 2K RGB Camera. 3X inertial sensing for unmatched reliability, speed, and accuracy.
– 4 TOPS (Trillion Operations Per Second) TPU AI Accelerator.
– 30 fps Image & 1000 Hz IMU. Real Time. Ultra-fast raw and fused data for instant control feedback.
– Ultra-Low Latency. Sub-millisecond response for mission-critical robotics.
– One Cable Simplicity. USB-C delivers both power and high-speed data.
– AI Inside. olixAI™ adaptive fusion for precision in any environment.
– ROS 2 Native. Plug-and-play with DDS — no drivers, no delays.
– Built to Scale. Synchronized multi-sensor support for industrial and autonomous systems.
Embedded ROS 2 with DDS protocol
Advanced EKF and AI fusion for unmatched accuracy
Real-time synchronization under 10.0 milliseconds
Advanced AI fusion with redundant sensors
Up to 30 fps data rate for dynamic applications
High performance at an affordable price
Compact 40 x 40 x 28 mm, only 46g
Reliable, high-speed Ethernet interface over USB
The olixSense™ V1 delivers consistent orientation and motion data with integrated IMU—even in high-dynamic environments—thanks to onboard sensor redundancy and AI-based fusion techniques. This ensures resilient performance in robotics, vehicles, and automation systems. It has open source examples that you can run any Coral compatible AI models, right in the camera module.
Fast by Design
With Native ROS 2 / DDS over Ethernet over USB and real-time processing, the V1 delivers ultra-low-latency data at up to 1000 Hz IMU and 30 fps image—perfect for dynamic, responsive systems.
Precision You Can Trust
Dual Sensor Fusion blends two sensing redundancy with embedded AI to ensure accurate orientation, even in noisy or unpredictable environments.
Reliability, Everywhere
From outdoor robotics to factory floors, the V1 maintains stable performance in low-light, high-vibration, or harsh conditions. Made for mobile robotics applications.
Intelligence at the Edge
Onboard olixAI™ enables real-time classification, drift correction, and adaptive filtering—right where the data is born. In vision system, from object detection to April Tag.
Plug in the olixVision™ V1 and it appears instantly as a ROS 2 node — no drivers, no setup, no delays. Experience ultra-low latency under 1.0 ms and blazing-fast data rates up to 1000 Hz IMU and 30fps 2K image for precise, synchronized robotics performance.
Ethernet over USB with Type-C Interface means data and power flow through a single connection. No drivers. No clutter. Just plug in and go.
USB Type-C brings a single, reversible connector that’s fast, universal, and built for the future — delivering power and data through one sleek port. Combined with our driver-free design, the V1 works instantly across platforms, so you can focus on building and innovating instead of installing and troubleshooting.
Open your browser.
Access the built-in Web UI.
Configure the ROS-Network settings. Stream live data. Tune parameters. Update firmware. Instantly.
The olixVision™ V1 is built from the ground up for robotics teams who demand precision, reliability, and effortless integration. Every layer of its design reflects our philosophy: real-time performance at the edge, without complexity.
[1] Dual Core Real-Time Processor, [2] 2K Image Sensor, [3] Coral TPU AI Accelerator, [4] Aluminum frame for Heat Deception.
WebGUI: The Olive embedded web-based GUI is a user-friendly interface for configuring, controlling, and testing out our modular robotic building blocks. It provides a wide range of capabilities for setting up and controlling our hardware components, including setting parameters, sending commands, and visualizing sensor data. It also offers an Integrated Development Environment (IDE) that is based on the JupyterLab platform. It allows users to manage embedded files on the device, create projects, write Python or C++ based embedded applications, and run them on the modules.
Tensor Processing Unit (TPU): A Tensor Processing Unit (TPU) is a custom-designed application-specific integrated circuit (ASIC) developed by Google to accelerate machine learning workloads. Unlike traditional CPUs and GPUs that manage a broad range of tasks, TPUs are optimized for the high-speed matrix multiplications and computations central to neural network operations. Their architecture offers substantial advantages in terms of performance per watt and computational throughput, making them particularly effective for training and inferring large-scale machine learning models, especially within Google’s machine learning framework, TensorFlow.
Integrated IMU: The Olive camera comes with an integrated IMU, crucial for visual SLAM algorithms. While cameras provide detailed visual data, they can experience drift or occlusions. The IMU offers high-frequency orientation and acceleration information. By merging both data sources, accuracy and resilience against visual ambiguities improve, leading to a more reliable estimation of camera movement and scene mapping.
ROS 2 Native: Embracing the advancements of modern sensor technology, our IMU offers native support for ROS2 (Robot Operating System 2). This essentially means that the IMU is driverless, eliminating the need to install and run a separate ROS2 node on your host computer. By sidestepping this additional layer of software, not only is the system latency minimized, but the throughput of data is also optimized to its maximum potential. This direct integration ensures that data flows seamlessly and promptly from the sensor to the system. Furthermore, the native ROS2 capability makes the IMU truly plug-and-play, streamlining integration processes and enhancing user experience, especially in dynamic environments where rapid deployment and configuration are crucial.
Deterministic real‑time. Secure by design. Flexible at scale.
| Category |
Legacy Protocols (TCP/IP, Modbus, CAN, EtherCAT, PROFINET, RS485) |
Native ROS 2 (DDS‑Based) |
|---|---|---|
| Real‑Time Performance | Hard‑coded / limited guarantees | Software‑defined, deterministic |
| Security | Basic or none | Built‑in encryption & secure nodes |
| Latency | 10–100 ms (stack overhead) | <10000 µs (optimized DDS transport) |
| ROS Compatibility | Requires external wrappers | Native integration, zero overhead |
| Bandwidth | 1–100 Mbit/s | 0.5 to 2.5 Gigabit |
| OTA Update Support | Rare / unsupported | Fully supported |
| Protocol Flexibility | Rigid (Master/Slave, Producer/Consumer) | Peer‑to‑Peer / Publish‑Subscribe / Hybrid |
| Quality of Service (QoS) | Fixed or hard‑coded | Configurable per topic |
| Advanced Data Handling | Basic signal data only | Fused, time‑synced, intelligent streams |
| Interoperability | Vendor‑specific / locked | Open, hardware‑agnostic |
| Middleware Stack | Proprietary or layered | DDS‑based, community‑supported |
| OSI Layer Coverage | Partial (1,2,7) | Full stack (1–7) |
From drones to air taxis, deliver stable flight, accurate navigation, and real-time orientation feedback in GNSS-denied environments.
Precision sensing for AMRs, AGVs, inspection robots, and autonomous cars — enabling drift-free navigation and robust SLAM integration.
Reliable orientation, heave, and motion tracking for surface and underwater vehicles operating in harsh and GPS-limited conditions.
Reliable orientation, heave, and motion tracking for surface and underwater vehicles operating in harsh and GPS-limited conditions.
Accurate real-time motion data for robotic arms, logistics platforms, indoor service robots, and factory automation systems.
Accurate real-time motion data for robotic arms, logistics platforms, indoor service robots, and factory automation systems.
Low-drift, high-frequency motion tracking for biomechanics, AR/VR, sports performance analysis, and motion capture systems.
Low-drift, high-frequency motion tracking for biomechanics, AR/VR, sports performance analysis, and motion capture systems.
Rugged and reliable sensing for autonomous farming, precision agriculture, and outdoor inspection in challenging environments.
Rugged and reliable sensing for autonomous farming, precision agriculture, and outdoor inspection in challenging environments.
Dive deep into setup guides, SDK references, ROS 2 messages and integration, and best practices — designed to help you unlock the full potential of the olixSense™ X1 Pro.
| Form Factor | |
|---|---|
| Dimensions (W x H x D) | 40mm x 40mm x 30mm |
| Weight | 79 grams |
| Processor Unit | |
| Application Processor | Dual Cortex-A7 up to 800 MHz |
| Real-Time Processor | Cortex-M4 MPU up to 200 MHz |
| TPU AI Accelerator | 4 Trillion Operations Per Second |
| Memory | |
| On Chip (SoC) | 512 MB RAM |
| On Chip EEPROM (SoC) | 512 Bytes x 8 |
| On SOM | 64 GByte SD Flash |
| Sensors | |
| Image Sensor | 1/2.7" OmniVision OV2710 |
| Max Resolution | 1920(H)x1080(V) pixels |
| Lens | M12 Standard / Adjustable 2.1mm (L210) / 1.8mm (L180) |
| Frame Rate | 320x240 QVGA @60fps 640x480 VGA @30fps 1280x720 HD @10fps 1920x1080 FHD @5fps |
| IMU Sensor | 16-Axis Automotive-Proven IMU |
| IMU Range & Sensitivity | Output Data Rate (ODR): 1000 Hz Accelerometer Zero-g ±20 mg - Range ±16 g - Sensitivity 2048 LSB/g Gyroscope Zero-rate ±0.5 dps - Range ±2000 dps - Sensitivity 16.4 LSB/dps |
| Connectivity | |
| High-Speed Connectivity | 1x Virtual Ethernet USB Type C @ 60 Megabytes Per Second (MBps) |
| Other I/O | 1x User Switch 3x User LEDs |
| Software | |
| Operating System | olixOS™ 2.1 / Linux Kernel 5.10 - Debian 11 |
| Communication middleware | Apache Cyclone DDS |
| Robotic Operating Systems | ROS Noetic Ninjemys, ROS 2 Humble Hawksbill |
| Power and Thermal | |
| Power Consumption | USB Type C PD (15 W max) |
| Voltage | PD 5.0v |
| Max Current | 3000mA |
| Temperature Range | 0°C to 85°C |
Whether you’re building autonomous robots, precision navigation systems, or advanced research platforms, our sensors deliver the reliability, precision, and interoperability you need to scale. Talk to our team of engineers/sales and get tailored solution for your robot today.
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