FARO Released Laser Line Probe Software Update

The update enhances scanning performance for difficult surface finishes on existing FaroArm devices.

Updated on Oct. 12, 2026 in Quantum Computing

FARO Released Laser Line Probe Software Update

FARO Creaform has launched a software update for its Laser Line Probe portfolio to improve scanning consistency. The update utilizes advanced image-processing algorithms to refine data collection on challenging surfaces.

Why it matters

This update aims to streamline industrial measurement workflows by reducing the need for manual adjustments and multiple scanning passes. It allows operators to achieve accurate results on complex materials without requiring new hardware investments.

The update incorporates DTEX image-processing algorithms to generate cleaner point clouds across the Quantum X and Quantum Max FaroArm series. It supports existing FAROBlu xR, xS, and xP probe lines without requiring additional hardware components.

The players

FARO Creaform

This company is a manufacturer of 3D measurement, imaging, and realization technology solutions for factory metrology and product design.

The details

By refining how sensors interpret reflected light, the software enables faster acquisition on dark, shiny, or reflective surfaces. The integration also supports the FARO 8-Axis Max rotary worktable, which uses integrated encoders to synchronize part rotation with measurement data, providing results traceable to ISO 17025 accredited calibration.

Timeline

  1. FARO Creaform announced the update on October 12, 2026.

The Tech Race

The adoption of software-driven performance enhancements represents a significant shift from hardware-heavy metrology cycles to agile, algorithm-led refinement. This positions FARO to maintain competitive relevance against rapid advancements in automated industrial inspection and high-precision digital twin creation.

Users can expect a 60% reduction in time required to scan challenging materials, significantly increasing daily throughput for quality control teams. The ability to deploy these improvements on existing equipment allows operators to upgrade their workflows without incurring new capital expenditure costs.

The takeaway

The deployment of software updates to improve existing hardware illustrates a growing trend of prioritizing algorithmic efficiency in industrial manufacturing. Companies looking to optimize their inspection processes should assess whether their current probe lines are compatible with these new image-processing protocols.

Further reading

For broader trends in precision measurement technology, visit the Quantum Computing section.

Source note: This article includes information reported by MoldMakingTechnology.