Patents by Inventor Rongdong Chai

Rongdong Chai has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250218029
    Abstract: Examples provide a system for filtering the contents of adjacent item storage compartments from item recognition results obtained using computer vision (CV) for more accurate mapping of item locations within a retail environment. A filter manager selects a vertical member and tracks it throughout a series of images generated by an image capture device. The selected vertical member defines at least a portion of a target compartment in each image. The vertical member can be a display case door or a vertical steel bar defining the side of an item storage compartment. A set of adjacent items located on each side of the target compartment is filtered from the item recognition results. The target compartment location is determined based on a location tag of the target compartment. The items remaining after filtering are mapped to the target compartment location while reducing CV item location false positives.
    Type: Application
    Filed: January 3, 2024
    Publication date: July 3, 2025
    Inventors: Han Zhang, Siddhartha Chakraborty, Avinash Madhusudanrao Jade, Lingfeng Zhang, Zhaoliang Duan, Eric W. Rader, William Craig Robinson, Mingquan Yuan, Abhinav Pachauri, Benjamin Ellison, Ishan Arora, Raghava Balusu, Ashlin Ghosh, Rongdong Chai, Ketan Shah, Paul Lobo
  • Publication number: 20250218000
    Abstract: Examples enable pallet tag tracking and cluster voting for more accurate pallet tag management using images of a selected pallet. A tag manager tracks a pallet through multiple images of the pallet to ensure the same pallet appears in every image. If the pallet tag is absent from all the images, a tag missing confidence score is generated that indicates the degree of confidence that the tag is missing from the pallet and not merely out of view. The score is used to prioritize handling of pallet tag missing exceptions. If the pallet tag is present in the images, optical character recognition (OCR) results for each tag image are aggregated into a tag cluster with a confidence score calculated for each result. A pallet tag identification (ID) number is predicted based on the result having the highest confidence score to ensure the pallet tag ID is complete and accurate.
    Type: Application
    Filed: January 3, 2024
    Publication date: July 3, 2025
    Inventors: Han Zhang, Avinash Madhusudanrao Jade, Lingfeng Zhang, Zhaoliang Duan, Mingquan Yuan, Eric W. Rader, Zhiwei Huang, Benjamin Ellison, William Craig Robinson, Siddhartha Chakraborty, Raghava Balusu, Aadarsh Gupta, Jing Wang, Rongdong Chai, Ashlin Ghosh, Oleksandr Viatchaninov
  • Publication number: 20250200504
    Abstract: Examples provide for pallet classification and pallet tag text recognition. The system includes a pallet text manager that classifies a type of pallet tag based on detected lines of text in the pallet tag using a classification model. Qualified lines of text are selected from the detected lines of text based on the classification type and corresponding format of the text. Each qualified line of text is associated with a pallet attribute, such as a pallet identifier (ID), an item ID, or a date of creation of the pallet tag. Attribute values from the set of qualified lines of text are paired with location data for the current location of the pallet. The attribute values and the paired location data are saved in a pallet attribute table. The pallet attributes are used to identify the location of pallets in a retail facility with improved accuracy and efficiency.
    Type: Application
    Filed: December 13, 2023
    Publication date: June 19, 2025
    Inventors: Yilun Chen, Zhaoliang Duan, Lingfeng Zhang, Mingquan Yuan, William Craig Robinson, Ishan Arora, Benjamin Ellison, Eric W. Rader, Elizabeth Ann Siler, Han Zhang, Abhinav Pachaurri, Siddhartha Chakraborty, Raghava Balusu, Ashlin Ghosh, Avinash Madhusudanrao Jade, Subhash Anand, Aadarsh Gupta, Paul Lobo, Ketan Shah, Zhiwei Huang, Jing Wang, Rongdong Chai