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Multisensor Coordinate Metrology Integrates Artificial Intelligence for Quality Assurance

Hexagon Manufacturing Intelligence has updated its coordinate measuring machine platform with machine-learning algorithms to accelerate industrial inspection across high-precision production environments.

  hexagon.com
Multisensor Coordinate Metrology Integrates Artificial Intelligence for Quality Assurance

The redesigned measurement system integrates optical, tactile, and multisensor instrumentation to inspect micro-features and tight tolerances across electronics, medical device manufacturing, automotive, and precision engineering facilities. The hardware and software updates address common operational bottlenecks where complex component geometries typically mandate slow inspection runs or extensive manual calibration.

Kinematic Acceleration and Quantitative Precision Gains
Hardware architecture changes alter the mechanical baseline of the coordinate system. Tactile maximum permissible error of length measurement conforms to ISO 10360 standards at E0, MPEE = (1.6 + L/200) μm. Increased axis velocities and drive acceleration raise overall system dynamics by 30 percent. Empirical testing across initial applications indicates that these kinematic gains, combined with an expanded field-of-view camera sensor that captures multiple discrete geometries simultaneously, reduce overall cycle times by roughly 15 percent.

Automated Vision Calibration and Machine-Learning Feature Extraction
Software execution runs within the PC-DMIS environment, which now incorporates machine learning to eliminate operator variance in optical setups:
  • AI Edge Detection applies automated camera-to-illumination calibration routines to isolate boundary contours despite surface noise or machining artifacts, scheduled for initial deployment in the 2026.2 software release.
  • Fast Auto-Focus algorithms shorten the focal z-axis travel acquisition phase by up to 50 percent, scheduled for rollout across 2027.
  • AI Illumination automates multi-quadrant light-intensity distribution to minimize manual trial-and-error routines on highly reflective or semi-translucent materials, planned for delivery in 2027.
These capabilities are also compatible with existing OPTIV M installations through routine software update paths, preventing hardware obsolescence across installed capital equipment.

Exhibition Schedules and Platform Availability
Commercial availability for the initial 4.4.3 frame size is scheduled to coincide with IMTS in Chicago and AMB in Stuttgart, taking place from September 14, 2026, alongside broader rollout schedules extending into 2027 for larger volumetric stages.

Additional Context
This section details technical specifications and competitive benchmarking not included in the original product announcement.

Multisensor coordinate measuring machines in this footprint target sub-two-micrometer repeatability, a domain contested primarily by systems such as the Zeiss O-INSPECT and Mitutoyo Quick Vision series.
  • Metrological Precision: The tactile threshold of (1.6 + L/200) μm aligns directly with standard optical-tactile benchmarks in this class, such as the Zeiss O-INSPECT 322 ((1.6 + L/250) μm to (1.9 + L/150) μm depending on probe setup) and Mitutoyo Quick Vision Apex platforms ((1.5 + 3L/1000) μm).
  • Software Automation: While competitors employ contrast-based edge filters and autofocus routines, the integration of algorithmic illumination correction directly into standard metrology packages (PC-DMIS) directly counters proprietary toolsets such as Mitutoyo QVPAK and Zeiss CALYPSO by standardizing variable lighting adjustments without dedicated operator intervention.
  • Throughput Dynamics: A 30 percent increase in machine acceleration directly targets cycle-time reductions in inline and near-line sampling, bridging the historical gap between benchtop optical comparators and high-precision bridge-type coordinate machines.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.

www.hexagon.com

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