Bellevue, WA, United States of America

Jacob Stevens-Haas


Average Co-Inventor Count = 14.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Jacob Stevens-Haas: Innovator in Synthetic Data Generation

Introduction

Jacob Stevens-Haas is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of computer vision through his innovative patent. His work focuses on generating synthetic data, which is crucial for advancing technology in various applications.

Latest Patents

Jacob holds a patent for a "System and method for generating synthetic data." This exemplary system is designed to create synthetic three-dimensional (3D) images of objects. The process involves selecting a background image and generating a composite image that combines the 3D image of the object with the background. The system simulates the reflection or emission of radiant energy from the surfaces involved, allowing for accurate measurements by a sensor device. Additionally, it generates multiple two-dimensional (2D) simulated images from different perspectives based on the simulation data.

Career Highlights

Jacob Stevens-Haas is currently employed at Booz Allen Hamilton Inc., where he applies his expertise in synthetic data generation. His innovative approach has positioned him as a key player in the development of advanced computer vision technologies. His work not only enhances the capabilities of computer systems but also contributes to the broader field of artificial intelligence.

Collaborations

Jacob collaborates with talented individuals such as Brandon Fallin and Dave Babbitt. These partnerships foster a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Jacob Stevens-Haas is a notable inventor whose work in synthetic data generation is paving the way for advancements in computer vision. His contributions are essential for the evolution of technology in this field.

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