Visual Inspection Reliability Evaluation With Weighted Human Factors

The patent transforms subjective estimation into objective measurement by changing the parameters from qualitative judgments to quantitative inputs. The system collects specific data about inspection conditions (lighting, time, complexity of parts) and uses these measurable parameters to calculate reliability scores, replacing vague subjective estimates with concrete, measurable factors that directly influence human performance.

The patent replaces the mechanical process of manual subjective estimation with an automated computational system. Instead of relying on human judgment and experience to assess inspection reliability, the system uses computer algorithms that process input data through defined mathematical models, eliminating the variability and bias inherent in manual estimation processes.

The patent divides the complex evaluation into discrete, manageable segments. Instead of attempting to analyze all possible factors simultaneously, the system breaks down the inspection environment into specific categories (lighting conditions, time of day, part complexity, inspector experience level) and evaluates each separately. This segmentation allows for comprehensive analysis while maintaining organizational structure that facilitates efficient processing.

The patent performs preliminary actions by pre-defining the variables and weightings before the actual evaluation. The system comes pre-configured with the complete list of factors to consider and their relative importance, so that during actual use, the evaluator simply needs to input data for these pre-identified variables rather than conducting a comprehensive analysis from scratch each time.