公开(公告)号：WO2021222911A1

公开(公告)日：2021-11-04

申请号：PCT/US2021/036300

申请日：2021-06-08

Applicant: KOOICK INC.

Inventor： GEIGER, Davi ,  CORRÊA, Carlos, Henrique Cavalcanti

IPC: G06F17/60 ,  G06Q10/06 ,  G06Q20/12 ,  G06Q30/06 ,  G07G1/00

Abstract: A method and system for detecting a commercial transaction through physical interactions with items, the method comprising receiving data from a plurality of sensory modules associated with one or more shelves within a container, the plurality of sensory modules including a static cameras module, a weight sensors module, and a video cameras module, wherein the data includes physical activities corresponding to items on the smart shelves in a given session. The method further comprises resolving the data from the sensory modules using probabilistic reasoning and machine learning, determining a new container state after the given session based on the resolved data, and determining a final commercial transaction based on the new container state.

公开(公告)号：WO2022061055A1

公开(公告)日：2022-03-24

申请号：PCT/US2021/050781

申请日：2021-09-17

Applicant: KOOICK INC.

Inventor： GEIGER, Davi ,  CORRÊA, Carlos Henrique, Cavalcanti

IPC: G06F15/18 ,  G06K9/0055 ,  G06Q20/202 ,  G06Q20/203 ,  G06Q20/206 ,  G06V20/13 ,  G07F17/0092 ,  G07F9/002 ,  G07F9/023 ,  G07F9/026

Abstract: A method and system for detecting a commercial transaction through physical interactions with products, the system comprising a frame that is placed within a product display unit. The frame includes a shelf, at least one camera, a weight sensor, and display screens. The system further comprises a computing device communicatively connected to the frame. The computing device is configured to detect physical interactions with items that are placed on the shelf based on data that is received from the at least one camera and the weight sensor. The computing device is further configured to determine a commercial transaction associated with physical interactions and transmit item and price data to the display screens based on machine learning of the physical interactions with items.