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JP-2026074827-A - specific equipment

JP2026074827AJP 2026074827 AJP2026074827 AJP 2026074827AJP-2026074827-A

Abstract

[Problem] To provide a specific device that can simplify the device configuration. [Solution] The product dispensing device is a identification device that identifies objects being transported along a transport route. It comprises cameras 121 to 125 that sequentially photograph each of a plurality of objects passing through each of the detection areas P21 to P25 on the transport route, cameras 131 to 137 and 181 to 184 that, after photographing each of the images of the plurality of objects, photograph the object that has passed through each of the detection areas P31 to P37 and P81 to P84 on the transport route, and identification means that identifies which of the plurality of objects the object is based on each of the images of the plurality of objects and the image of the object. [Selection Diagram] Figure 1

Inventors

  • 杉原 正人

Assignees

  • 株式会社FOOD & LIFE COMPANIES

Dates

Publication Date
20260507
Application Date
20241021

Claims (7)

  1. A device for identifying objects to be transported along a transport route, A first imaging means for sequentially photographing each of the multiple objects being transported as they pass through a first region on the transport path, After capturing images of each of the plurality of objects to be transported, a second imaging means captures an object that has passed through a second region on the transport path, A identifying device comprising identifying means for identifying which of the plurality of transported objects the object is based on each of the images of the plurality of transported objects and the image of the target object.
  2. The system further includes an identity output means that uses a trained model generated by machine learning to take a specific image from among the images of the multiple transported objects and an image of the target object as input, and outputs a determination result of whether or not the transported object in the specific image and the target object are the same. The identification device according to claim 1, wherein, when the identity output means determines that the object being transported in the specific image is the same as the object being transported, the identification means identifies the object being transported in the specific image.
  3. The transported object includes a mounting section containing a standard mark and the goods placed on the mounting section described above. A means for dividing each of the images of the multiple objects to be transported into a portion of the image of the placement area described above and a portion of the image of the product, Position acquisition means for acquiring the position of the product relative to the reference mark in each of the aforementioned specific image and the image of the object, A feature point extraction means for extracting feature points from the portion of the product image in each of the aforementioned specific image and the image of the object, The system further comprises a determination means for determining whether the object being transported in the specific image and the object are the same, based on the position of the product relative to the reference mark in each of the specific image and the image of the object, and feature points extracted from the portion of the image of the product in each of the specific image and the image of the object. The identification device according to claim 1, wherein, if the determination means determines that the object being transported in the specific image is the same as the object being identified, the identification means identifies the object being identified as the object being transported in the specific image.
  4. The identification device according to claim 1, further comprising a prediction means for predicting the timing at which the object passes a required position on the transport path.
  5. The system comprises multiple imaging means, including the first and second imaging means, The identification device according to claim 1, wherein when the entire transport path is divided into a plurality of regions including the first and second regions, each of the plurality of imaging means photographs the transported object as it passes through each of the plurality of regions.
  6. The transport route includes a circular transport route and a branch route that branches off from a predetermined position on the circular transport route and heads toward the customer who ordered the transported goods. The identification device according to claim 1, further comprising a first extrusion device that, after identifying which of the plurality of transported objects the object is using the identification means, pushes the object from the predetermined position on the annular transport path to the branch path.
  7. The transport path further includes a shortcut path that provides a shortcut from a branching point on the annular transport path to a merging point on the annular transport path, The identification device according to claim 6, further comprising a second extrusion device that, after identifying which of the plurality of transported objects the object is using the identification means, pushes the object from the annular transport path to the shortcut path at the branching position.

Description

This invention relates to a specific device. More specifically, it relates to a specific device for identifying objects being transported along a transport path. Traditionally, in conveyor belt sushi restaurants and similar establishments, items placed on plates are transported along a designated route to the customer's table. In such restaurants, multiple items are transported simultaneously to their respective tables, requiring the identification of items currently in transit. Technologies for identifying items in transit are disclosed, for example, in Patent Document 1 below. Patent Document 1 (described below) discloses a device that identifies products during transport by attaching an RF tag, which contains an ID for identifying the product, to a tray and reading the RF tag. Japanese Patent Publication No. 2019-107301 This is a plan view showing the configuration of a store employing a product dispensing device according to one embodiment of the present invention.This is a block diagram showing the functional configuration of the control device 1.This diagram schematically shows the order table immediately after registering order information based on a new order.This diagram schematically shows the order table immediately after a predetermined operation is received on the touch panel 151 and the order information is updated.This diagram schematically shows the order table immediately after the next passing position and estimated passing time have been added to the order information.This diagram shows the path taken by an object when it is transported from the supply conveyor 102 to the table TB5.This diagram shows the path taken by the object to be transported to the table TB4 when the loading space on the transport path RT34 is full.This diagram illustrates an example of a method for extracting characteristic information from a transported object.This flowchart shows the operation of the control device 1 when it receives an order from a customer via a table touch system, according to one embodiment of the present invention.This flowchart shows the operation of the control device 1 in one embodiment of the present invention when the control device 1 receives a predetermined operation via a touch panel indicating that the placement of the object to be transported onto the supply conveyor has been completed.This is a first flowchart showing the operation of the control device 1 when a target is detected by any of the cameras 131-137 and 181-184 in one embodiment of the present invention.This is a second flowchart showing the operation of the control device 1 when a target is detected by any of the cameras 131-137 and 181-184 in one embodiment of the present invention.This is a subroutine for the feature extraction process (S900) shown in Figures 10 and 11.This figure schematically shows the neural networks 500 of learning models 43 and 45 (Figure 2) in one embodiment of the present invention. Figure 1 is a plan view showing the configuration of a store employing a product dispensing device according to one embodiment of the present invention. Referring to Figure 1, the product serving device (an example of a specific device) in this embodiment is installed in a store equipped with a transport mechanism that carries products placed on plates along a transport path and circulates them within the dining area, such as a conveyor belt sushi restaurant. The type of product is arbitrary, but typically it is food and beverages such as sushi, snacks, or drinks. Within the store, multiple tables TB1 to TB6 and seats are provided near the product transport path. Each of the tables TB1 to TB6 and seats is intended for a group of multiple customers. The product serving device in this embodiment uses a different transport route than the "transportation means that carries products placed on plates along a transport route and circulates them within the dining area" described above, to transport and serve products to each customer. The product serving device in this embodiment does not circulate products within the dining area; instead, it directly delivers the items, including those corresponding to customer orders, from the kitchen area to the customer's table in the dining area. The product serving device identifies the items being transported along the transport route and delivers them to the required customer's table. The lower part of Figure 1 is the kitchen area where the chefs prepare the products, and the upper part of Figure 1 is the dining area where customers eat and drink. The product serving device in this embodiment includes transport paths RT1 to RT6, RT21 to 23, RT31 to RT36, and RT41 to RT44 (an example of a transport path), a control device 1, a circulating conveyor 101, supply conveyors 102 to 106, customer conveyors 107 to 109, rollers 110 to 113, cameras 121 to 125, 131 to 137, and 181 to 184, extrusion devices 141 to 147, touch panels 151 to 155, switching levers 161 to 163, and table touch systems