Location History:
- Hanover, MN (US) (2022)
- Minneapolis, MN (US) (2022 - 2023)
Company Filing History:
Years Active: 2022-2023
Title: Rachel Alderman: Innovator in Automated Image Annotation
Introduction
Rachel Alderman is a prominent inventor based in Hanover, MN (US). She has made significant contributions to the field of automated image annotation, holding a total of 4 patents. Her work focuses on developing systems and methods that enhance the efficiency of image processing for machine learning applications.
Latest Patents
One of Rachel's latest patents is for a large-scale automated image annotation system. This innovative system provides methods for automating image annotations, allowing for the efficient generation of a large-scale annotated image collection. 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 the data linked to that identifier. This technology is particularly useful for retailers, as it can capture images of products and associate item data based on the retailer's item taxonomy for future classification.
Another notable patent is for electronic product recognition. This method involves identifying products in electronic images captured via mobile devices. The process includes receiving a video stream from the device's camera, selecting frames from the 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. This technology streamlines the process of product identification in various applications.
Career Highlights
Rachel Alderman is currently employed at Target Brands, Inc., where she continues to innovate in the field of image processing and recognition. Her work has positioned her as a leader in developing technologies that enhance the interaction between consumers and products through advanced image recognition systems.
Collaborations
Rachel has collaborated with notable coworkers, including Ryan David Siskind and Nicholas Scott Eggert. Their combined expertise contributes to the innovative projects at Target Brands, Inc.
Conclusion
Rachel Alderman's contributions to automated image annotation and electronic product recognition demonstrate her commitment to advancing technology in practical applications. Her patents reflect a deep understanding of machine learning and image processing, making her a valuable asset in her field.