Spectacle Lens Angle Measurement Using Mirrored Laser Scan Data

The patent segments the lens surface measurement into multiple zones (front surface, back surface, edge regions) and processes reflection signals from each zone separately. By dividing the complex measurement task into manageable segments, the system can selectively use reliable signals from different lens regions while filtering out unreliable scattered signals, thereby improving overall measurement reliability while maintaining automation.

The patent introduces an intermediary evaluation process that acts as a mediator between the laser scanning system and the final measurement result. This intermediary layer analyzes and filters reflection signals, distinguishing reliable signals from scattered ones before they are used for measurement. The intermediary processing step resolves the contradiction by enabling automated measurement while filtering out unreliable signals that would otherwise degrade measurement reliability.

The patent applies local quality analysis by examining different regions of the lens surface separately - the front surface, back surface, and edge regions each have distinct reflection characteristics. By analyzing the local quality of reflection signals from different zones, the system can differentiate between signals from various surfaces and assign appropriate weights to each, resolving the signal differentiation difficulty while maintaining non-contact measurement capability.

The patent introduces another dimension of analysis by considering not only the position of reflection signals but also their spatial distribution patterns and intensity characteristics across the lens surface. This multi-dimensional approach enables the system to distinguish between front surface, back surface, and edge reflections based on their distinctive signal patterns, thereby resolving the differentiation problem while preserving the ease of non-contact measurement.

The patent implements a feedback mechanism where the automated measurement system continuously evaluates the reliability of its own measurements by analyzing signal quality and measurement consistency. When the system detects unreliable signals or measurement artifacts, it automatically adjusts its processing parameters or requests re-measurement, providing feedback that maintains high measurement reliability while minimizing the need for manual intervention and thus preserving productivity.

The patent employs parameter changes by dynamically adjusting measurement and processing parameters based on the characteristics of each lens and the quality of detected signals. When certain lenses produce scattered or unreliable signals, the system changes processing parameters such as signal filtering thresholds, weightings, or measurement zones to optimize reliability for that specific lens type, thereby maintaining high productivity across all lenses without requiring manual intervention.

The patent applies partial filtering by selectively processing and filtering reflection signals based on their source and reliability rather than filtering all signals uniformly. The system processes only the necessary portions of the signal - filtering front surface reflections when back surface reflections are needed, and vice versa - while leaving other signals unprocessed. This partial action approach achieves high measurement precision while minimizing processing complexity by avoiding unnecessary filtering operations.

The patent performs preliminary organization of reflection signals by pre-categorizing them into distinct groups (front surface, back surface, edge regions) before the filtering process. This preliminary classification simplifies the subsequent filtering operations, as the system only needs to apply appropriate filtering criteria to each pre-defined group rather than processing all signals uniformly. The preliminary action reduces processing complexity while maintaining high measurement precision through targeted filtering.