公开(公告)号：US20240249266A1

公开(公告)日：2024-07-25

申请号：US18414298

申请日：2024-01-16

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06Q20/20 ,  G06V10/40 ,  G06V10/82

CPC classification number: G06Q20/208 ,  G06V10/40 ,  G06V10/82

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

公开(公告)号：US20250118175A1

公开(公告)日：2025-04-10

申请号：US18906813

申请日：2024-10-04

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G07G1/00 ,  G06F16/55 ,  G06V10/26 ,  G06V10/762 ,  G06V10/77 ,  G06V10/82

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

公开(公告)号：US12272217B1

公开(公告)日：2025-04-08

申请号：US18906813

申请日：2024-10-04

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Sri Priyanka Madduluri

IPC: G07G1/00 ,  G06F16/55 ,  G06V10/26 ,  G06V10/75 ,  G06V10/762 ,  G06V10/77 ,  G06V10/82

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

公开(公告)号：US20240242578A1

公开(公告)日：2024-07-18

申请号：US18414284

申请日：2024-01-16

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G07G1/12 ,  G06V10/70 ,  G07G1/00

CPC classification number: G07G1/12 ,  G06V10/70 ,  G07G1/0018

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

公开(公告)号：US20240242470A1

公开(公告)日：2024-07-18

申请号：US18414276

申请日：2024-01-16

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06V10/48 ,  G06V10/82 ,  G07G1/00

CPC classification number: G06V10/48 ,  G06V10/82 ,  G07G1/0009

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

公开(公告)号：US20250117765A1

公开(公告)日：2025-04-10

申请号：US18906556

申请日：2024-10-04

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06Q20/20

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. UPC features included in the item parameters associated with each item when combined are indicative as to an indication of the UPC of each item. The UPC features are analyzed to determine whether the UPC features associated with each item when combined match a corresponding combination of UPC features stored in a database. The database stores different combinations of UPC features with each different combination of UPC features associated with a corresponding item thereby identifying each corresponding item based on each different combination of UPC features associated with each item. Each item positioned at the POS system is identified when the UPC features associated with each item when combined match a corresponding combination of UPC features as stored in the database.

公开(公告)号：US20250069362A1

公开(公告)日：2025-02-27

申请号：US18943015

申请日：2024-11-11

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Aykut Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06V10/48 ,  G06Q20/20 ,  G06V10/12 ,  G06V10/40 ,  G06V10/70 ,  G06V10/82 ,  G06V10/94 ,  G06V20/40 ,  G06V20/52 ,  G06V40/10 ,  G07G1/00 ,  G07G1/12

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

公开(公告)号：US20250117766A1

公开(公告)日：2025-04-10

申请号：US18906996

申请日：2024-10-04

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06Q20/20 ,  G06T7/70 ,  G06V10/12 ,  G06V10/25 ,  G06V10/26 ,  G06V10/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52

Abstract: Systems and methods include automatically identifying items from images of items positioned at a POS system. Cameras capture images of the items in which each camera captures images with different FOVs of the items thereby capturing different item parameters of each item. The items are identified when item parameters of the items match item parameters previously identified and the items are failed to be identified when item parameters fail to match item parameters previously identified. Image pixels associated with each unknown item are extracted and mapped to real world coordinates associated with each unknown item as positioned at the POS system. A bounding polygon for each unknown item is generated that encapsulates each unknown item based on the image pixels mapped to the real world coordinates. The bounding polygon is projected onto each unknown item thereby providing feedback for each unknown item positioned at the POS system.

公开(公告)号：US12236662B2

公开(公告)日：2025-02-25

申请号：US18414284

申请日：2024-01-16

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Aykut Dengi ,  Sai Krishna Bashetty ,  Rahul Santhosh Kumar Varma ,  Daniel King ,  Kamalesh Kalirathinam ,  Nathan Kelly ,  Sri Priyanka Madduluri ,  Thomas Strich

IPC: G06Q20/20 ,  G06V10/12 ,  G06V10/40 ,  G06V10/48 ,  G06V10/70 ,  G06V10/82 ,  G06V10/94 ,  G06V20/40 ,  G06V20/52 ,  G06V40/10 ,  G07G1/00 ,  G07G1/12

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

公开(公告)号：US20240242505A1

公开(公告)日：2024-07-18

申请号：US18414229

申请日：2024-01-16

Applicant: RadiusAI, Inc.

Inventor： Abhinav Yarlagadda ,  Enis Dengi ,  Sai Krishna Bashetty ,  Alexander Magsam ,  Sharan Raja ,  Stephen McCracken ,  Xaio Liu ,  Raghavendra Nakka ,  Nathan Kelly ,  Tarik Temur ,  Siva Naga Raju Balusu ,  Uday Bhargav Reddy Murikinati ,  Girisha Lakshmi Nakka ,  Marek Niemyjski ,  Todd Ellering ,  Jeffrey Kershner ,  Dana Altier ,  Paul Mills

IPC: G06V20/52 ,  G06V10/12 ,  G06V10/82 ,  G06V10/94 ,  G06V20/40 ,  G06V40/10

CPC classification number: G06V20/52 ,  G06V10/12 ,  G06V10/82 ,  G06V10/95 ,  G06V20/41 ,  G06V40/10 ,  G06V2201/10

Abstract: Visual analytics systems can use video data from cameras placed throughout a location (e.g., a store or a hospital) to determine poses, gestures, tracks, journeys, and actions, and thereby to provide broader analytics useful in realizing efficiencies and improving human behaviors. Data from visual analytics systems can be used to generate alerts, make useful predictions, and run simulations to test hypotheses.