Discover How LK Metrology Enhanced CAMIO Using Spatial's 3D SDKs

When LK Metrology, a global leader in Coordinate Measuring Machines (CMM), aimed to enhance the accuracy and interoperability of their CAMIO software, they turned to Spatial’s proven 3D solutions.

By integrating 3D ACIS Modeler, 3D InterOp, and HOOPS Visualize, LK Metrology streamlined CAD data processing, improved PMI/MBD support, and extended CAMIO’s capabilities. This collaboration ensured greater precision, efficiency, and long-term software reliability in metrology applications.  


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Features Built for Metrology Workflows

Spatial’s solutions have specific built-in functionality that targets the unique
needs of the metrology industry. Select capabilities include advanced functionality
for handling geometric data, support for large point clouds and support
of a rollback mechanism for handling undo/redo.

Capture Design Intent
Part Analysis
Generate Measurement Point
Annotation Analysis
Optimize Sensor Paths
Enhance Operational Safety with Strategic Path Planning
Collision Detection
Optimize Data Integration With Advanced Point Cloud Processing
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Capture Design Intent

Seamlessly access and utilize original CAD annotations directly within the CAD environment, ensuring precise dimensioning and geometric relationships. This feature allows for directly verifying engineering tolerances and specifications, enhancing the accuracy of measurements and analyses. It supports a comprehensive understanding of geometric tolerances, their types, values and the specific faces or edges they pertain to, facilitating a thorough and efficient validation process.

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Part Analysis

Automate measurement planning and generate insightful reports with an intuitive, geometry-based feature detection system. By analyzing face combinations, this advanced algorithm identifies and categorizes features such as holes, pads, pockets, fillets and chamfers. It simplifies the measurement process by clearly defining which geometries to measure, including face details and axis orientation. Additionally, it provides parametric definitions to anticipate measurement outcomes, covering aspects like diameters, depths and hole types (blind or through), streamlining the analysis for accuracy and efficiency.

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Generate Measurement Point

Precisely generate measurement points from the part's geometry by employing planar and non-planar slices as well as projection and offset operations to mark points on the model accurately. Efficiently create and optimize sensor paths on the nominal part. On parts, allowing for a detailed comparison of inspection measurement points against these curves, enhancing accuracy and ensuring quality control.

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Annotation Analysis


Facilitate precise part positioning for measurements using reference faces and DATUM information. Further refine measurement workflows by employing
compound PMIs, enabling the automatic grouping of measurement activities. This integration between feature detection and compound PMIs allows the efficient measurement of features that share annotations.

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Optimize Sensor Paths

Leverage model geometry to automate optimize the creation of sensor paths by querying geometric objects, where evaluators calculate normals and curvatures at specific positions. This process generates sensor paths as a sequence of points along faces or edges, ensuring thorough coverage. This ensures thorough coverage along faces and edges. 

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Enhance Operational Safety with Strategic Path Planning

Mitigate the risk of clashes during processing the measurement and inspection process by creating ‘no-go’ regions around workpieces and machinery. This is achieved by offsetting bodies and enlarging their volume by a predetermined distance to ensure a safe operational buffer. Additionally, compensate for the touch probe radius during path generation by offsetting faces, which accurately determines the center locations of the touch probes. This careful planning not only safeguards the equipment as well as the part to inspect but also maintains the integrity of the measurement process, ensuring precise and reliable results.

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Collision Detection

Implement advanced collision detection algorithms to preemptively identify potential clashes between the probe, fixtures, work-pieces and machinery, ensuring the integrity of the equipment and the items being measured. Utilize fast, parallel processing techniques suitable for real-time applications to maintain operational flow without sacrificing safety. Through off-line path planning, validate measurement plans in advance to avoid any risk of gouging the work-piece. Robust inverse kinematics algorithms also simulate end-effector (probe) position along the object being measured.

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Optimize Data Integration With Advanced Point Cloud Processing

Utilize a two-stage alignment process combining inertia matrices and least squares fit to precisely align measured data with the 3D model. This method calculates distances for each point from the geometry,  indicating their positional relationship with inside or outside status. Calculate the distances between the actual measurement points and the nominal part geometry and indicate for every measurement point  its positional relationship with inside or outside status. Evaluate manufacturing accuracy by comparing measurements to tolerances
and identifying deviations such as ‘overcut’ or ‘undercut.’ Leverage a high-performance, parallelized architecture that efficiently handles large datasets, ensuring quick and scalable comparisons for effective analysis and quality control.

how it works

Elevating Your Metrology
Software Workflow

Ready to elevate your metrology workflow? Our 3D modeling, interoperability and visualization solutions can be crafted into a customized workflow that fits your needs.
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1. CAD Data Import

  • Fast Visualization Import
  • Selective B-Rep Import
  • Semantic and Graphical PMI
  • CAD Associativity

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2. Part Analysis

  • PMI Analysis
  • Feature Detection

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3. Preparation

  • Measurement Planning
  • Feature Selection
  • Dimensions
  • Geometry Sampling

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4. Processing

  • Inverse Kinematics
  • Clash Detection

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5. Post-Processing

  • Distance Calculations
  • Result Visualization
  • Report Generation