Garland, TX, United States of America

Sandra Kane

This inventor holds 4 USPTO granted patents and 3 published patent applications. Top assignees: State Farm Mutual Automobile Insurance Company, Roofr Inc.. Active years: 2021-2026.

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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4 patents (USPTO):Explore Patents

Title: Sandra Kane: Innovator in Image Data Analysis for Hail Damage Assessment

Introduction

Sandra Kane is a notable inventor based in Garland, TX (US), recognized for her contributions to the field of image data analysis. With a total of 4 patents to her name, she has made significant strides in developing technologies that enhance the assessment and classification of hail damage.

Latest Patents

Kane's latest patents focus on innovative systems and methods for analyzing image data to assess property damage. One of her key inventions involves a server that analyzes segmented digital image data of a roof using a convolutional neural network (CNN). This technology allows the server to extract a set of features from specific regions identified by the CNN. Furthermore, the server utilizes an additional image model to analyze these features, generating outputs that indicate the confidence level of actual hail damage depicted in the analyzed regions.

Career Highlights

Throughout her career, Sandra Kane has worked with prominent companies such as State Farm Mutual Automobile Insurance Company and Roofr Inc. Her experience in these organizations has contributed to her expertise in the field of property damage assessment.

Collaborations

Kane has collaborated with talented individuals, including Jing Wan and Yuntao Li, who have contributed to her innovative projects.

Conclusion

Sandra Kane's work in image data analysis has positioned her as a leading inventor in the assessment of hail damage. Her patents reflect her commitment to advancing technology in this critical area.

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