RoboSense Active Camera AC1 LiDAR Depth Camera Intelligent Robot Vision

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€3.202,80
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RoboSense AC1 LiDAR Depth Camera is a next-generation robotic vision system that integrates high-precision depth sensing with intelligent AI-driven perception tools. Built for robust performance, it combines cutting-edge LiDAR technology with advanced camera-based environmental sensing, delivering highly detailed and reliable data—even in harsh lighting conditions like direct sunlight or reflective surfaces.

Engineered for real-world performance, the AC1 excels in dynamic environments where mobility perception, SLAM (Simultaneous Localization and Mapping), and multimodal sensor fusion are critical. This compact, AI-ready active camera is purpose-built for autonomous systems, robotic navigation, and next-gen smart machines.

With plug-and-play integration into robotics platforms, ROS (Robot Operating System), and custom software stacks, the RoboSense AC1 empowers developers, engineers, and researchers to build smarter, more aware machines that thrive in unpredictable surroundings. Whether you're developing autonomous vehicles, service robots, or industrial automation systems, this active camera delivers 3D spatial awareness and robust object recognition with centimeter-level accuracy.


Why Choose RoboSense AC1?

🚀 Industry-Leading Performance

Delivers hardware-level precision combined with cutting-edge AI-ready capabilities for next-gen perception systems. 🤖🔍

🧠 Open-Source Ecosystem

Equipped with drivers, algorithms, and multimodal development tools—giving you the freedom to build, customize, and deploy. 🛠️📦

🔗 Broad Compatibility

Easily integrates into existing robotics platforms and software stacks, accelerating deployment and prototyping. ⚙️🤝

✅ Trusted RoboSense Technology

Powered by RoboSense’s industry expertise in high-performance LiDAR and vision systems, trusted by developers worldwide. 🌐📡

Features

  • Unparalleled Depth Precision: Achieves 3cm (1σ) accuracy with a maximum range of 70m.

  • Wide Field of View (FOV): Depth FOV of 120°×60° and RGB FOV of 144°×78° for comprehensive spatial awareness.

  • Integrated Sensor Suite: Combines depth, RGB, and IMU sensors for synchronized environmental data fusion.

  • Sunlight Resistance: Operates seamlessly under 100kLux of strong sunlight, ensuring reliability in outdoor scenarios.

  • Compact and Robust Design: Lightweight, solid-state module built to withstand temperatures from -20°C to 60°C.

  • AI Ecosystem: Offers open-source tools, drivers, and calibration resources for enhanced development and integration.


Specifications

Active Camera Specifications Table
Lidar
Ranging Principle TOF (Time of Flight) Horizontal FOV 120°
Laser Wavelength 940nm Vertical FOV 60°
Laser Safety Class Class 1 (Eye Safe) Horizontal Resolution Average 0.625°
Ranging Capability 20m@10% Reflectivity Vertical Resolution
Blind Zone 0.1m@90% Reflectivity Accuracy (Typical) ±3cm@1σ (Indoor)
±5cm@1σ (Outdoor)
Points per Second ~173333 points/sec Frame Rate 10 Hz
RGB Camera
Shutter Type Rolling Shutter Horizontal FOV 144°
CIS Output Format NV12, RGB24 Vertical FOV 78°
Frame Rate 30 Hz Resolution 1920*1080
IMU
Degrees of Freedom 6-Axis Data Output Gyroscope ±2000dps
Accelerometer ±16g Data Frequency 200Hz (Adjustable)
Overall Unit Specifications
Form Factor Standard Probe Module Power Consumption 12.6W (Typical)
Operating Temperature -20°C ~ +60°C Storage Temperature -20°C ~ +70°C
Protection Rating IP54 Weight 400g ± 10%
Data Interface USB 3.2 Gen1 Power Interface DC
Dimensions 95mm*42.6mm*80mm

Coordinate Systems in RoboSense AC1

In practical applications of the RoboSense AC1 Active Camera, it is crucial to understand the coordinate systems used by its various sensors to accurately interpret data. These coordinate systems are defined as follows:

  • LiDAR Sensor Coordinate System:
    Denoted as O L X L Y L Z L , this is the reference system for the LiDAR sensor's spatial measurements.

  • Camera Sensor Coordinate System:
    Represented as O C X C Y C Z C , this system provides the orientation and positioning of the camera sensor relative to its data.

  • IMU Sensor Coordinate System:
    Denoted by O I X I Y I Z I , this system defines the inertial data reference for motion and posture sensing.

  • Active Camera (AC) Coordinate System:
    Identical to the LiDAR coordinate system, it is denoted as O XYZ or O L X L Y L Z L , ensuring consistency across all sensor data integration.

Applications

  • Robotics Navigation: Facilitates precise SLAM and autonomous navigation with robust perception capabilities.

  • AI and Vision Systems: Supports advanced localization, obstacle detection, and object recognition tasks.

  • Indoor & Outdoor Versatility: Overcomes environmental challenges, adapting to diverse scenarios effortlessly.

  • Research & Prototyping: Ideal for developers working on mobility, AI, and cognitive robotics projects.

Technical Reference

ROBOSENSE AC1

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