AUTOMATED OBJECT RECOGNITION KIOSK FOR RETAIL CHECKOUTS

    公开(公告)号:US20230112491A1

    公开(公告)日:2023-04-13

    申请号:US18079754

    申请日:2022-12-12

    Applicant: Mashgin Inc.

    Inventor: Mukul Dhankhar

    Abstract: A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

    SEPARATION OF OBJECTS IN IMAGES FROM THREE-DIMENSIONAL CAMERAS

    公开(公告)号:US20220165074A1

    公开(公告)日:2022-05-26

    申请号:US17667279

    申请日:2022-02-08

    Applicant: Mashgin Inc.

    Abstract: Methods, systems, and programs are presented for simultaneous recognition of objects within a detection space utilizing three-dimensional (3D) cameras configured for capturing 3D images of the detection space. One system includes the 3D cameras, calibrated based on a pattern in a surface of the detection space, a memory, and a processor. The processor combines data of the 3D images to obtain pixel data and removes, from the pixel data, background pixels of the detection space to obtain object pixel data associated with objects in the detection space. Further, the processor creates a geometric model of the object pixel data, the geometric model including surface information of the objects in the detection space, generates one or more cuts in the geometric model to separate objects and obtain respective object geometric models, and performs object recognition to identify each object in the detection space based on the respective object geometric models.

    AUTOMATED OBJECT RECOGNITION KIOSK FOR RETAIL CHECKOUTS

    公开(公告)号:US20210174431A1

    公开(公告)日:2021-06-10

    申请号:US17129296

    申请日:2020-12-21

    Applicant: Mashgin Inc.

    Inventor: Mukul Dhankhar

    Abstract: A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

    GENERATION OF TWO-DIMENSIONAL AND THREE-DIMENSIONAL IMAGES OF ITEMS FOR VISUAL RECOGNITION IN CHECKOUT APPARATUS

    公开(公告)号:US20190236362A1

    公开(公告)日:2019-08-01

    申请号:US16180838

    申请日:2018-11-05

    Applicant: Mashgin Inc.

    Abstract: Methods, systems, and computer programs are presented for capturing color images of items for a machine-learning model. In one method, a request, for adding an item to be visually recognized during sales transactions, is detected at a checkout apparatus. Further, the method includes capturing and storing a color image, by each of one or more cameras of the checkout apparatus, of an examination space when the item is present. Further, the capturing and storing of color images of the item is repeated at different poses until at a predetermined number of color images of the item are captured. Further, the method includes generating, by a processor of the checkout apparatus, additional images of the item by modifying the captured color images. A machine-learning model for item recognition is built by training a machine-learning tool with the captured images and the additional images.

    SEPARATION OF OBJECTS IN IMAGES FROM THREE-DIMENSIONAL CAMERAS

    公开(公告)号:US20190065823A1

    公开(公告)日:2019-02-28

    申请号:US15685455

    申请日:2017-08-24

    Applicant: Mashgin Inc.

    Abstract: Methods, systems, and programs are presented for simultaneous recognition of objects within a detection space utilizing three-dimensional (3D) cameras configured for capturing 3D images of the detection space. One system includes the 3D cameras, calibrated based on a pattern in a surface of the detection space, a memory, and a processor. The processor combines data of the 3D images to obtain pixel data and removes, from the pixel data, background pixels of the detection space to obtain object pixel data associated with objects in the detection space. Further, the processor creates a geometric model of the object pixel data, the geometric model including surface information of the objects in the detection space, generates one or more cuts in the geometric model to separate objects and obtain respective object geometric models, and performs object recognition to identify each object in the detection space based on the respective object geometric models.

    AUTOMATED OBJECT RECOGNITION KIOSK FOR RETAIL CHECKOUTS

    公开(公告)号:US20190057438A1

    公开(公告)日:2019-02-21

    申请号:US16168066

    申请日:2018-10-23

    Applicant: Mashgin Inc.

    Inventor: Mukul Dhankhar

    Abstract: A system, method, and apparatus for automated object recognition at checkout is provided. One checkout system includes a base, a head portion, a support for the head portion above the base, an illumination device in the head portion, at least one imaging device in the head portion, a processor coupled to the at least one imaging device, and a display. An examination space is defined between the base and the head portion for accommodating food items. The illumination device illuminates the food items, and the at least one imaging device captures color images of the food items. The processor applies a machine-learning model for performing image recognition of the food items in the color images to identify each food item. The image recognition is based on features of the food items that include shape, size, and color. An identification of each of the food items is presented on the display.

    FAST ITEM IDENTIFICATION FOR CHECKOUT COUNTER

    公开(公告)号:US20190005343A1

    公开(公告)日:2019-01-03

    申请号:US16104087

    申请日:2018-08-16

    Applicant: Mashgin Inc.

    Abstract: Methods, systems, and computer programs are presented for on-the-fly image recognition of an item in motion. One method includes an operation for periodically capturing images, by several cameras, of a recognition area. Further, the method includes detecting that the item is present in the recognition area and selecting a recognition window that defines a period of time for analysis. The recognition window defines recognition frames corresponding to the images captured within the recognition window. Each recognition frame is analyzed to determine if an identity of the item has been obtained for the recognition frame, the analysis being based on image recognition of the recognition frame to identify the item based on, at least, a shape of the item and coloring of the item. Further, the method includes operations for determining if the item has been identified based on the analysis for the recognition frames, and for displaying the item identification.

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