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Non-contact profilometers, utilizing techniques like optical interferometry and laser scanning, are gaining popularity due to their ability to measure delicate or sensitive surfaces without physical contact. These profilometers are ideal for applications in electronics, optics, and biomedical fields where surface integrity must be preserved. AI and machine learning algorithms are being integrated into profilometer systems to automate data analysis, improve measurement accuracy, and enhance predictive maintenance capabilities. This trend is streamlining surface inspection processes and enabling real-time decision-making in manufacturing environments.
As additive manufacturing (3D printing) continues to grow, profilometers are increasingly used to verify surface quality, dimensional accuracy, and layer thickness in printed parts. Profilometer technologies play a crucial role in optimizing AM processes and ensuring consistent part quality.