Nathaniel S Rowekamp

Title: Nathaniel S. Rowekamp and Automated Sheet Inspection

Introduction

Nathaniel S. Rowekamp is an inventor based in Maplewood, Minnesota, whose patent work focuses on automated inspection of manufactured sheet materials. His inventions apply image processing and machine learning to assess sheet-part quality and support efficient manufacturing workflows.

Latest Patents

Rowekamp’s patent portfolio includes 2 patents related to inspecting sheet goods and manufactured film.

“Inspecting Sheet Goods Using Deep Learning” describes an inspection system that captures images of sheet parts as they pass through an inspection device. Multiple neural networks analyze the image data, with each network trained to identify a particular defect. The system uses the networks’ outputs to determine a quality category and can send that category to a sorter.

“Automated Inspection for Sheet Parts of Arbitrary Shape from Manufactured Film” describes a system that identifies corresponding points in a reference image and a mask image, then transforms the mask to locate the inspection region. The system evaluates that region to determine the sheet part’s quality and outputs information about the result.

Career Highlights

Rowekamp’s listed patents are associated with 3M Innovative Properties Company. Together, they address automated visual inspection, defect detection, and quality assessment for sheet materials, including parts with arbitrary shapes.

Collaborations

His listed coworkers include Steven P. Floeder and Jeffrey P. Adolf. The patent descriptions reflect a collaborative approach to developing inspection systems that combine image capture, computational analysis, and manufacturing processes.

Conclusion

Nathaniel S. Rowekamp’s patent work advances automated quality inspection by combining image analysis and deep learning to identify defects and assess manufactured sheet parts.