Company Filing History:
Years Active: 2017-2020
Title: Scott Szoko: Innovator in Geospatial Object Detection
Introduction
Scott Szoko is a notable inventor based in Odenton, MD (US), recognized for his contributions to the field of geospatial object detection. With a total of 3 patents, he has made significant strides in synthesizing training data for advanced image analysis systems.
Latest Patents
One of Scott's latest patents focuses on synthesizing training data for broad area geospatial object detection. This innovative system is designed for the recognition, identification, classification, location, and quantification of geospatial objects. It comprises an image manipulation module that creates synthetically-generated images to augment existing orthorectified geospatial images. Additionally, it incorporates a deep learning module and a convolutional neural network that serve as an image analysis module. This system analyzes a large corpus of orthorectified geospatial images, identifies and demarcates objects of interest, and quantifies the classified objects. The results are reported in a format preferred by the requestor.
Career Highlights
Scott Szoko is currently employed at DigitalGlobe, Incorporated, where he applies his expertise in geospatial technologies. His work has been instrumental in advancing the capabilities of image analysis and object detection systems.
Collaborations
Scott collaborates with talented individuals such as Adam Estrada and Christopher Burd, contributing to innovative projects in the field of geospatial technology.
Conclusion
Scott Szoko's work in synthesizing training data for geospatial object detection showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for more effective image analysis systems in various applications.