Mp Equipment, LLC

Ernest Merrill

Matt Jones

Tuan Anh Phan

James S Tomlin

A method for identifying and removing tissue from a food product that includes generating a three-dimensional model of a food product using a scanner and mapping the three-dimensional model onto the food product. The method also includes scanning the food product such that cross-sectional scanning images are generated based on the model, and, for each cross-sectional scanning image, determining a maximum thickness of the model and identifying a corresponding estimated tissue point, by using an identification method based on suitable characteristics of the food product model. The method includes fitting a curve to the estimated tissue points and generating a cut path based on the fitted curve, wherein the cut path defines an area of unwanted tissue that includes the estimated tissue points. The method further includes cutting the food product along the cut path, thereby, removing the area of unwanted tissue.

Method of removing tissue from food product

A calibration system for a food processing machine has a conveyor for conveying a workpiece, scanning system for scanning the workpiece and creating a digital image of the workpiece, and a cutting device downstream from the scanning system for cutting the workpiece. A calibration object is conveyed through the food processing machine by the conveyor and scanned. A controller, with a memory, is in communication with the cutting device and the conveyor such that the controller can track position of the cutting device as the cutting device is moved into alignment with the calibration object and store calibration values on the memory corresponding to the movement of the cutting device into alignment with the calibration object. The controller is configured to calibrate movement of the cutting device relative to the workpiece based on the digital image of the workpiece and the calibration values to thereafter accurately cut the workpiece.

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Atlanta, GA, United States of America

Ernest Merrill