CNC Machine Camera Calibration for Pixel-to-Location Mapping

The patent introduces an intermediary calibration process that uses captured images as a mediator between the physical material and the digital model. The calibration system captures images of the material, processes them through compensation algorithms to account for lighting and thickness variations, and uses the corrected image data to establish accurate mapping relationships. This intermediary step enables high precision without requiring direct complex mechanical measurement systems.

The patent replaces traditional mechanical calibration methods with an optical-based image capture and processing system. Instead of using complex mechanical measurement devices to determine material properties and positions, the system uses cameras to capture images and applies computational compensation for lighting conditions and material thickness, substituting mechanical complexity with optical and computational approaches.

The patent uses captured images as an intermediary representation of the physical material state. The image processing system acts as an intermediary layer that translates raw pixel data into compensated measurements by accounting for lighting variations and material thickness differences. This intermediary approach enables accurate mapping without requiring direct complex physical measurements for each calibration point.

The patent changes the parameters used for calibration by transitioning from direct physical measurements to image-based parameters that are then compensated. The system captures images and applies parameter adjustments based on lighting conditions and material properties extracted from the images, transforming the calibration approach from mechanical parameter measurement to optical parameter analysis with computational correction.

The patent performs preliminary calibration by capturing images and establishing the mapping relationship between pixel coordinates and physical locations before actual machining operations begin. This preliminary action creates a baseline calibration that can be used during operations, reducing the need for frequent time-consuming recalibrations while maintaining reliability through the initial accurate setup.

The patent implements a feedback mechanism where the system captures images during operations, compares them against the calibrated model, and makes adjustments based on detected variations in material position or lighting conditions. This feedback loop maintains reliability by continuously verifying and correcting the calibration state without requiring complete recalibration, thus minimizing time loss while ensuring operational consistency.