Stereo Vision Camera

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Introduction

Stereo Vision Camera

A Stereo Vision Camera mimics human binocular perception to extract 3D information from a scene. By utilizing two or more sensors separated by a known distance (the baseline), these cameras capture two simultaneous 2D images and calculate the depth of objects through triangulation. Unlike active technologies, stereo vision can operate in high-ambient light and outdoor environments, making it a robust solution for autonomous mobile robots (AMR), complex bin picking, and large-scale 3D environment mapping. It provides both high-resolution color imagery and high-density spatial point clouds.

Working Principle

1. Synchronous Capture

The dual sensors capture high-resolution images of the same scene from slightly different perspectives at the exact same microsecond.

2. Rectification

Onboard algorithms correct lens distortion and align the images horizontally, ensuring that corresponding pixels lie on the same scan line.

3. Disparity Matching

The system identifies matching features between the left and right images, calculating the "disparity" (horizontal pixel shift) for every point.

4. Triangulation

Using the baseline and focal length, the camera calculates the precise Z-distance, generating a full-color 3D point cloud for spatial analysis.

Key Technical Specifications

  • Adjustable Baseline Options
    Available in various baseline lengths (from 6cm to 50cm+) to optimize depth resolution for either close-range picking or long-range outdoor navigation.
  • Active vs. Passive Flexibility
    Supports passive mode for outdoor sunlight and "Active Stereo" (integrated IR patterns) to provide texture for featureless, smooth surfaces indoors.
  • High-Resolution RGB-D Output
    Simultaneously delivers high-definition color images and high-density depth maps, allowing for AI-driven object classification alongside spatial positioning.
  • On-Device FPGA Processing
    Equipped with dedicated vision processors that perform dense disparity mapping internally, delivering ready-to-use 3D data without taxing the host PC.
  • Sub-pixel Accuracy
    Advanced matching algorithms achieve sub-pixel disparity precision, resulting in smoother depth gradients and higher accuracy for dimensional measurements.
  • Global Shutter Synchronization
    Dual global shutter sensors ensure that moving objects are captured without distortion, maintaining point cloud integrity during high-speed robotic motion.

Industrial stereo vision camera with dual-lens configuration and rugged housing

Typical Applications

Robotic Bin Picking

Random Bin Picking

Identifying and locating stacked or overlapping parts in a bin, providing 6-DOF coordinates for precise robotic arm guidance.

Outdoor Robot Navigation

Outdoor Mobile Robots

Reliable obstacle detection and terrain mapping for agricultural robots and delivery vehicles operating under direct sunlight.

3D Environment Scanning

3D Mapping & Modeling

Capturing large-scale environment data to create digital twins of factories, warehouses, or construction sites with high spatial fidelity.

Engineering Excellence

Our stereo vision systems are engineered to bridge the gap between biological perception and robotic action. By combining high-precision optical alignment with powerful onboard disparity processing, we provide a robust 3D solution that excels in both indoor controlled environments and challenging outdoor conditions.

Standards & Industrial Durability

Designed for the rigorous demands of industrial robotics, our stereo systems ensure reliable data in all conditions:

  • Calibration Stability: Industrial-grade optical benches designed to maintain sub-pixel alignment under vibration.
  • Protection Ratings: Available in IP65/IP67 rated enclosures for protection against dust, water, and oil.
  • Certifications: Fully compliant with CE, FCC, and RoHS for global deployment.
  • Interface Options: Support for USB 3.0 (Type-C), GigE Vision (PoE), and low-latency MIPI CSI-2 for embedded edge integration.

Software & Developer Support

Our stereo cameras are supported by a mature software ecosystem designed for rapid 3D application development:

  • Native drivers for ROS/ROS2 and extensive Python/C++ SDKs.
  • Plug-ins for PCL (Point Cloud Library) and popular SLAM algorithms.
  • Pre-calibrated lookup tables (LUTs) for immediate depth output.
  • Tools for automatic re-calibration and disparity tuning.
→ Request 3D Camera Datasheet

Related Products

Technical data represent typical values. As applications vary, we recommend consulting our technical team to ensure the best fit for your specific requirements.

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