Skate Blade Alignment Using Optical Measurement in Sharpening

The patent replaces manual mechanical alignment methods with an automated optical measurement system. The system uses imaging devices to capture images of alignment features on the skate blade and grinding wheel, then uses image processing and computational algorithms to determine alignment. This substitution of mechanical/manual operations with optical and computational methods directly resolves the contradiction by improving precision while accepting increased system complexity.

The patent creates optical copies (images) of the physical alignment features on the skate blade and grinding wheel. By capturing images of these features and analyzing them computationally, the system can measure alignment with high precision without requiring direct physical contact or complex mechanical measurement tools. This copying approach enables precise measurement while using relatively simple imaging hardware.

The patent eliminates human operators from the alignment process by replacing manual visual assessment with automated optical imaging and computational analysis. The system objectively measures alignment based on captured images and calculated positions, removing subjectivity and user error from the process. This automation improves reliability while requiring a more complex automated system instead of simple manual operations.

The alignment system is self-calibrating and self-measuring. It automatically captures images, processes them to identify alignment features, calculates positions, and determines alignment status without human intervention. The system serves itself by performing all measurement and analysis functions autonomously, which improves consistency and reliability while increasing automation complexity.