Acushnet, MA, United States of America

Donald A Laprade


Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2006-2011

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2 patents (USPTO):Explore Patents

Title: Innovations by Donald A. Laprade

Introduction

Donald A. Laprade is an accomplished inventor based in Acushnet, MA (US). He has made significant contributions to the field of technology with his innovative ideas and patents. His work primarily focuses on methods for orienting spherical objects and calibrating detectors.

Latest Patents

Donald A. Laprade holds two notable patents. The first patent is titled "Method of Spherical Object Orientation and Orienter for the Same." This method involves acquiring an image of a spherical object at an imaging station, analyzing the image to determine an analysis, and transferring the object to orienting stations. The orienting stations rotate the object about a single axis, collectively orienting it by rotation about alternately perpendicular axes. The second patent is "Method of Calibrating a Detector and Calibration Sphere for the Same." This method utilizes a calibration object with a rounded surface and indicia to minimize image distortion caused by misalignment of the detector relative to the calibration object.

Career Highlights

Donald A. Laprade is associated with Acushnet Company, where he applies his expertise in developing innovative solutions. His work has contributed to advancements in the calibration and orientation of spherical objects, showcasing his commitment to enhancing technology.

Collaborations

Some of his notable coworkers include Paul A. Furze and Thomas L. Mydlack. Their collaboration has likely fostered an environment of innovation and creativity within their projects.

Conclusion

Donald A. Laprade's contributions to the field of invention, particularly in the areas of object orientation and detector calibration, highlight his innovative spirit and dedication to technological advancement. His patents reflect a deep understanding of complex systems and a commitment to improving existing methodologies.

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