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CMS-2025-012

Numerical Balancing: Revolutionizing Metrology with Numerical Certainty and Accurate Autonomous Data Evaluation

Ingobert Schmadel

Title graphic for CMS-2025-012: Numerical Balancing: Revolutionizing Metrology with Numerical Certainty and Accurate Autonomous Data Evaluation

Abstract

An argument that uncertainty in a measurement result is not inherited from the data but created by the numerical processes applied to it – that 'the data is uncertain' is, in the speaker's words, a false statement. Presents the OICT method, built on first principles of mechanics, and the InoraSRS and InoraASYS tools that apply it to machine checking and part deviation.

Cite this paper

Ingobert Schmadel. Inora Technologies. Presented at the Coordinate Metrology Systems Conference 2025, Reno, Nevada, July 21-25, 2025. Coordinate Metrology Society, reference CMS-2025-012.