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Engineering
High-Precision Measurement
Sub-millimeter, large-space, and multi-target dynamic measurement for precision engineering and scientific research.
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Business pain points
  • Traditional measurement methods lack sufficient accuracy for precision analysis.
  • Measurement scenarios are often limited to controlled indoor environments.
  • Complex deployment leads to low efficiency and high testing costs.
  • Closed data systems are difficult to integrate into existing R&D workflows.
  • Our advantages
  • Sub-millimeter accuracy provides a reliable benchmark for precision analysis and validation.
  • Stable operation in complex environments, including outdoor, water-surface, and underwater scenarios.
  • Efficient, reliable, and cost-controllable deployment for research and engineering testing.
  • Open architecture and rich interfaces support secondary development and system integration.
  • Data acquisition

  • Document Center
  • Product components

  • Flagship Camera: K Series
    High-end optical mocap cameras built for demanding precision tracking.
  • Other Camera: MC Series
    Flexible optical mocap cameras for large-space, high-precision tracking across diverse production setups.

  • Advantages of the plan

    Ultra-High Precision MeasurementAchieves measurement accuracy down to 20 μm under ideal conditions. Combined with high data rate and low latency, the system captures reliable 3D spatial data for deformation analysis, precise positioning, and algorithm validation. ---
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    Strong Environmental AdaptabilitySupports testing in indoor laboratories, outdoor environments, water-surface, and underwater scenarios. The system can also be adapted to special environments such as field tests, wind tunnels, and high- or low-temperature conditions.
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    High Repeatability & ReliabilityProvides highly consistent measurement results under the same test conditions, supporting repeatable experiments, result verification, and reliable comparative analysis.
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    Open Architecture & Ecosystem CompatibilityMeasurement data can be transmitted via VRPN or SDK interfaces and integrated with ROS, LabVIEW, MATLAB, Simulink, and other R&D platforms for secondary development and workflow integration.
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