Kriens, Switzerland

Katrin Schumann


 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Katrin Schumann: Innovator in Roofing Membrane Evaluation

Introduction

Katrin Schumann is a notable inventor based in Kriens, Switzerland. She has made significant contributions to the field of roofing membrane evaluation through her innovative patent. Her work focuses on utilizing artificial neural networks to assess crack intensity in polymeric sheets, showcasing her expertise in both technology and materials science.

Latest Patents

Katrin Schumann holds a patent titled "Crack evaluation of roofing membrane by artificial neural networks." This patent describes a method and system for evaluating crack intensity on polymeric sheets based on a predetermined scale of crack intensity grades. The process involves recording a digital image of the surface of the polymeric sheet and automatically classifying the crack intensity using a computer-implemented program for pattern recognition. The artificial neural network is trained in advance with a variety of digital images, allowing for accurate classification and grading of crack intensity.

Career Highlights

Katrin Schumann is currently employed at Sika Technology AG, a company known for its innovative solutions in construction and building materials. Her role at Sika Technology AG allows her to apply her expertise in artificial intelligence and materials evaluation, contributing to advancements in the industry.

Collaborations

Katrin has collaborated with notable colleagues, including Carl Wilfried and Roger Kathriner. These partnerships have likely enhanced her research and development efforts, fostering a collaborative environment for innovation.

Conclusion

Katrin Schumann's work in the evaluation of roofing membranes through artificial neural networks exemplifies her innovative spirit and dedication to advancing technology in construction materials. Her contributions are paving the way for more efficient and accurate assessments in the industry.

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