Shopping cart monitoring using computer vision

    公开(公告)号:AU2021234279A1

    公开(公告)日:2022-11-03

    申请号:AU2021234279

    申请日:2021-03-10

    Abstract: A system for monitoring shopping carts uses cameras to generate images of the carts moving in a store. In some implementations, cameras may additionally or alternatively be mounted to the shopping carts and configured to image cart contents. The system may use the collected image data, and/or other types of sensor data (such as the store location at which an item was added to the basket), to classify items detected in the shopping carts. For example, a trained machine learning model may classify item in a cart as "non-merchandise," "high theft risk merchandise," "electronics merchandise," etc. When a shopping cart approaches a store exit without any indication of an associated payment transaction, the system may use the associated item classification data, optionally in combination with other data such as cart path data, to determine whether to execute an anti-theft action, such as locking a cart wheel or activating an alarm.

    ESTIMATING MOTION OF WHEELED CARTS
    23.
    发明专利

    公开(公告)号:CA2996604A1

    公开(公告)日:2017-03-09

    申请号:CA2996604

    申请日:2016-09-02

    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. Also disclosed are various techniques to 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. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

    Bandas de rodadura y procedimientos de sustitución para ruedas de vehículo no motorizado

    公开(公告)号:ES2559603T3

    公开(公告)日:2016-02-15

    申请号:ES12834447

    申请日:2012-09-20

    Abstract: Una rueda para un carro de propulsión humana, en que la rueda comprende: un conjunto de alojamiento (70) que comprende un buje (80) y una cubierta (90), teniendo el buje (80) una cavidad interior y comprendiendo una superficie de encaje con cuadro que tiene un primer elemento conjugado (82), estando configurada la cavidad interior para recibir un componente eléctrico, y en que el primer elemento conjugado (82) es recibido en un primer rebajo de banda de rodadura (25) de un cuadro (20) y comprende una brida (84) que se extiende radialmente hacia fuera; la cubierta (90) configurada para ser cerrada por junta con el buje (80), inhibiendo con ello el acceso hacia dentro de la cavidad interior; un conjunto de banda de rodadura (10) configurado para recibir axialmente una parte del conjunto de alojamiento (70), comprendiendo el conjunto de banda de rodadura (10) el cuadro (20) y una banda de rodadura (60), comprendiendo el cuadro (20) una superficie de encaje con banda de rodadura y una superficie de encaje con buje, teniendo la superficie de encaje con buje un segundo elemento conjugado (22) y estando configurada para acoplarse de forma separable con la superficie de encaje con cuadro del buje (80), y en que el segundo elemento conjugado (22) es recibido dentro de un primer rebajo de alojamiento (85) del buje (80) y comprende una brida (24) que se extiende radialmente hacia dentro; la banda de rodadura (60) dispuesta radialmente hacia fuera del cuadro (20), estando configurada la banda de rodadura (60) para acoplarse a una superficie sobre la cual la rueda está configurada para rodar; y una sujeción configurada para encajar axialmente el primer elemento conjugado (82) de la superficie de encaje con cuadro y el segundo elemento conjugado (22) de la superficie de encaje con buje; en que el conjunto de banda de rodadura (10) está configurado para acoplarse de forma separable con el conjunto de alojamiento (70) de tal modo que el conjunto de banda de rodadura (10) puede ser separado axialmente del conjunto de alojamiento (70) sin eliminar la junta entre la cubierta (90) y el buje (80), facilitando con ello la reparación o la sustitución del conjunto de banda de rodadura (10) al tiempo que se mantiene la junta entre la cubierta (90) y el buje (80), y en que, cuando la superficie de encaje con buje del cuadro (20) está acoplada a la superficie de encaje con cuadro del buje (80), el primer elemento conjugado (82) y el segundo elemento conjugado (22) están alineados circunferencialmente de tal modo que la sujeción puede encajar axialmente el primer elemento conjugado (82) y el segundo elemento conjugado (22).

    NAVIGATION SYSTEMS AND METHODS FOR WHEELED OBJECTS

    公开(公告)号:CA2601569C

    公开(公告)日:2015-08-18

    申请号:CA2601569

    申请日:2006-03-20

    Abstract: A navigation system uses a dead reckoning method to estimate an object's present position relative to one or more prior positions. In some embodiments, the dead reckoning method determines a change in position from the object's heading and speed during an elapsed time interval. In embodiments suitable for use with wheeled objects, the dead reckoning method determines the change in position by measuring the heading and the amount of wheel rotation. In a preferred embodiment, the heading is determined with reference to the Earth's magnetic field by disposing magnetic sensors in or on the object. Error correction and position reset procedures may be implemented to reduce accumulated navigational error. In preferred embodiments, some or all of the navigation system is disposed within a wheel of the object. In certain embodiments, the navigation system determines whether the object has exited a confinement area and activates an anti-theft system such as an alarm or a wheel locking mechanism. The navigation system can be configured to communicate with external markers and/or RF transmitters. In some embodiments, the markers comprise magnetic elements arranged to produce a magnetic signal indicating a direction or other suitable information.

    Shopping basket monitoring using computer vision and machine learning

    公开(公告)号:AU2023201924A1

    公开(公告)日:2023-05-04

    申请号:AU2023201924

    申请日:2023-03-29

    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.

    Shopping basket monitoring using computer vision and machine learning

    公开(公告)号:AU2019335011A1

    公开(公告)日:2021-04-01

    申请号:AU2019335011

    申请日:2019-09-05

    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.

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