Company Filing History:
Years Active: 2022-2023
Title: Innovations of Stephen Radachy
Introduction
Stephen Radachy is an accomplished inventor based in Minneapolis, MN. He has made significant contributions to the field of automated image annotation and electronic product recognition. With a total of 4 patents to his name, Radachy's work is instrumental in advancing machine learning applications.
Latest Patents
Radachy's latest patents include a large-scale automated image annotation system. This system provides methods for automating image annotations, allowing for the efficient generation of a large-scale annotated image collection for machine learning applications. The system captures image frames using a mobile device, identifies items within those frames, and detects objects in three-dimensional space. Cropped images are created for each identified item, which are then correlated to the detected objects. A unique identifier associated with each detected object is captured, and labels are automatically applied to the cropped images based on data linked to that identifier.
Another notable patent is for electronic product recognition. This method involves identifying products in electronic images captured by mobile devices. The process includes receiving a video stream from the device's camera, selecting frames from that stream, and segmenting products within the captured images. The server then performs image recognition on each segment to identify the products, outputting the recognized items.
Career Highlights
Stephen Radachy is currently employed at Target Brands, Inc., where he continues to innovate in the field of image recognition technology. His work has been pivotal in enhancing the efficiency and accuracy of product identification systems.
Collaborations
Radachy has collaborated with notable coworkers, including Ryan David Siskind and Nicholas Scott Eggert, contributing to the development of advanced technologies in his field.
Conclusion
Stephen Radachy's contributions to automated image annotation and electronic product recognition demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in machine learning.
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