公开(公告)号：AU2019335011B2

公开(公告)日：2023-01-12

申请号：AU2019335011

申请日：2019-09-05

Applicant: GATEKEEPER SYSTEMS INC

Inventor： RAMANATHAN NARAYANAN V ,  CARTER SCOTT J ,  HANNAH STEPHEN E ,  JAMES JESSE M ,  JOHNSON JACK L ,  HARLING ROBERT M

IPC: B62B5/04 ,  G06V10/147 ,  G08B13/00 ,  G08B13/196

Abstract: A system for monitoring shopping baskets (e.g., baskets on human-propelled carts, motorized carts, or hand-carried baskets) can include a computer vision unit that can image a surveillance region (e.g., an exit to a store), determine whether a basket is empty or loaded with merchandise, and assess a potential for theft of the merchandise. The computer vision unit can include a camera and an image processor programmed to execute a computer vision algorithm to identify shopping baskets and determine a load status of the basket. The computer vision algorithm can comprise a neural network. The system can identify an at least partially loaded shopping basket that is exiting the store, without indicia of having paid for the merchandise, and execute an anti-theft action, e.g., actuating an alarm, notifying store personnel, activating a store surveillance system, activating an anti-theft device associated with the basket (e.g., a locking shopping cart wheel), etc.

公开(公告)号：CA3054417A1

公开(公告)日：2018-09-13

申请号：CA3054417

申请日：2018-03-06

Applicant: GATEKEEPER SYSTEMS INC

Inventor： CARTER SCOTT J ,  HANNAH STEPHEN E ,  JAMES JESSE M ,  RAMANATHAN NARAYANAN V ,  HARLING ROBERT M ,  JOHNSON JACK

IPC: G08B21/18 ,  B62K3/00 ,  G01H11/06 ,  G08B13/14

Abstract: Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Various techniques utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Navigation techniques can include navigation history and backtracking, motion direction detection for dual swivel casters, use of gyroscopes, determining cart weight, multi-level navigation, multi-level magnetic measurements, use of lighting signatures, use of multiple navigation systems, or hard/soft iron compensation for different cart configurations.

公开(公告)号：AU2023201924A1

公开(公告)日：2023-05-04

申请号：AU2023201924

申请日：2023-03-29

Applicant: GATEKEEPER SYSTEMS INC

Inventor： RAMANATHAN NARAYANAN V ,  CARTER SCOTT J ,  HANNAH STEPHEN E ,  JAMES JESSE M ,  JOHNSON JACK L ,  HARLING ROBERT M

IPC: B62B5/04 ,  G06V10/147 ,  G08B13/00 ,  G08B13/196

Abstract: A system for monitoring shopping baskets (e.g., baskets on human-propelled carts, motorized carts, or hand-carried baskets) can include a computer vision unit that can image a surveillance region (e.g., an exit to a store), determine whether a basket is empty or loaded with merchandise, and assess a potential for theft of the merchandise. The computer vision unit can include a camera and an image processor programmed to execute a computer vision algorithm to identify shopping baskets and determine a load status of the basket. The computer vision algorithm can comprise a neural network. The system can identify an at least partially loaded shopping basket that is exiting the store, without indicia of having paid for the merchandise, and execute an anti-theft action, e.g., actuating an alarm, notifying store personnel, activating a store surveillance system, activating an anti-theft device associated with the basket (e.g., a locking shopping cart wheel), etc.

公开(公告)号：AU2019335011A1

公开(公告)日：2021-04-01

申请号：AU2019335011

申请日：2019-09-05

Applicant: GATEKEEPER SYSTEMS INC

Inventor： RAMANATHAN NARAYANAN V ,  CARTER SCOTT J ,  HANNAH STEPHEN E ,  JAMES JESSE M ,  JOHNSON JACK L ,  HARLING ROBERT M

IPC: B62B5/04 ,  G06V10/147 ,  G08B13/00 ,  G08B13/196

Abstract: A system for monitoring shopping baskets (e.g., baskets on human-propelled carts, motorized carts, or hand-carried baskets) can include a computer vision unit that can image a surveillance region (e.g., an exit to a store), determine whether a basket is empty or loaded with merchandise, and assess a potential for theft of the merchandise. The computer vision unit can include a camera and an image processor programmed to execute a computer vision algorithm to identify shopping baskets and determine a load status of the basket. The computer vision algorithm can comprise a neural network. The system can identify an at least partially loaded shopping basket that is exiting the store, without indicia of having paid for the merchandise, and execute an anti-theft action, e.g., actuating an alarm, notifying store personnel, activating a store surveillance system, activating an anti-theft device associated with the basket (e.g., a locking shopping cart wheel), etc.