This inventor holds 1 USPTO granted patent. Top assignee: Ncr Voyix Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Layton Christopher Hayes: Innovator in Depth Image Interpolation
Introduction
Layton Christopher Hayes is an accomplished inventor based in Rome, GA (US). He has made significant contributions to the field of multiview item recognition through his innovative patent. His work focuses on enhancing the accuracy and efficiency of depth image processing, which is crucial for various applications in technology and retail.
Latest Patents
Hayes holds a patent titled "Depth image interpolation for multiview item recognition." This patent describes a method where depth camera settings are adjusted based on the characteristics of items presented in a scan zone. The process involves capturing both Red-Green-Blue (RGB) images and depth images of items within the scan zone. The quality of the depth values is assessed, and any bad depth values are replaced with known good depth values. When replacement is not possible, depth value interpolation algorithms are selectively processed to enhance the depth values. This innovative approach allows for precise mapping of items within the scan zone to pixel values in the corresponding RGB images. Ultimately, the pixel values are passed to a classification model, which returns an item code, facilitating a seamless checkout process without the need for scanning item barcodes.
Career Highlights
Hayes is currently employed at NCR Voyix Corporation, where he continues to develop and refine his innovative ideas. His work at the company has positioned him as a key player in advancing technology related to item recognition and processing.
Collaborations
Hayes collaborates with talented individuals such as Christian Lee McDaniel and Stefan Bjelcevic. Their combined expertise contributes to the success of their projects and enhances the innovative environment at NCR Voyix Corporation.
Conclusion
Layton Christopher Hayes is a notable inventor whose work in depth image interpolation has the potential to revolutionize item recognition processes. His contributions to technology reflect a commitment to innovation and excellence in his field.