System and method for item identification using container-based classification
A device detects a triggering event that corresponds to a placement of an item on a platform. In response, the device captures an image of the item and generates a first encoded vector for the image. The first encoded vector describes one or more attributes of the item. The device determines that the item is associated with a first container category based on the one or more attributes of the item. The device identifies one or more items that have been identified as having placed inside a container associated with the first container category. The device displays a list of item options that comprises the one or more items on a graphical user interface (GUI). The device receives a selection of a first item from along the list of item options and identifies the first item as being inside the container.
1 . A system, comprising:
a plurality of cameras, wherein each camera is configured to capture images of at least a portion of a platform;
a memory configured to store an encoded vector library comprising a plurality of encoded vectors, wherein:
each encoded vector describes one or more attributes of a respective item; and
each encoded vector is associated with a respective container category for the respective item; and
one or more processors communicatively coupled to the memory, the one or more processors configured to:
detect a triggering event at the platform, wherein the triggering event corresponds to a placement of an item on the platform;
in response to detecting the triggering event, capture an image of the item using at least one camera from among the plurality of cameras;
generate a first encoded vector for the image, wherein the first encoded vector describes one or more attributes of the item;
determine that the item is associated with a first container category based at least in part upon the one or more attributes of the item;
identify one or more items that have been identified as having been placed inside a container associated with the first container category;
display on a graphical user interface (GUI) a list of item options that comprises the one or more items;
receive a selection of a first item from among the list of item options; and
identify the first item as being placed inside the container.
2 . The system of claim 1 , wherein the one or more processors are further configured to add the first item to a virtual shopping cart associated with a user.
3 . The system of claim 1 , wherein to display the list of item options that comprises the one or more items on the GUI, the one or more processors are further configured to:
order the one or more items such that a particular item that has been identified as having been placed inside the container more than the rest of the one or more items is displayed first in the list of item options; and
display the ordered list of one or more items on the GUI.
4 . The of claim 1 , wherein to generate a first encoded vector for the image, the one or more processors are further configured to extract a set of features from the image, wherein:
the set of features represents the one or more attributes of the item; and
the set of features is represented by numerical values.
5 . The system of claim 1 , wherein the one or more processors are further configured to:
generate a bounding box around the item in the image; and
display the image showing the item with the bounding box on the GUI.
6 . The system of claim 1 , wherein the first item has been identified to have been placed inside the container more than the rest of the one or more items.
7 . The system of claim 1 , wherein the first item has been identified to have been placed inside the container less than the rest of the one or more items.
8 . A method comprising:
detecting a triggering event at a platform, wherein the triggering event corresponds to a placement of an item on the platform;
in response to detecting the triggering event, capturing an image of the item using at least one camera from among a plurality of cameras, wherein each camera is configured to capture images of at least a portion of the platform;
generating a first encoded vector for the image, wherein the first encoded vector describes one or more attributes of the item;
determining that the item is associated with a first container category based at least in part upon the one or more attributes of the item;
identifying one or more items that have been identified as having been placed inside a container associated with the first container category;
displaying on a graphical user interface (GUI) a list of item options that comprises the one or more items;
receiving a selection of a first item from among the list of item options; and
identifying the first item as being placed inside the container.
9 . The method of claim 8 , further comprising adding the first item to a virtual shopping cart associated with a user.
10 . The method of claim 8 , wherein displaying the list of item options that comprises the one or more items on the GUI is in response to:
ordering the one or more items such that a particular item that has been identified as having been placed inside the container more than the rest of the one or more items is displayed first in the list of item options; and
displaying the ordered list of one or more items on the GUI.
11 . The method of claim 8 , wherein generating a first encoded vector for the image, is in response to extracting a set of features from the image, wherein:
the set of features represents the one or more attributes of the item; and
the set of features is represented by numerical values.
12 . The method of claim 8 , further comprising:
generating a bounding box around the item in the image; and
displaying the image showing the item with the bounding box on the GUI.
13 . The method of claim 8 , wherein the first item has been identified to have been placed inside the container more than the rest of the one or more items.
14 . The method of claim 8 , wherein the first item has been identified to have been placed inside the container less than the rest of the one or more items.
15 . A non-transitory computer-readable medium storing instructions that when executed by one or more processors, cause the one or more processors to:
detect a triggering event at a platform, wherein the triggering event corresponds to a placement of an item on the platform;
in response to detecting the triggering event, capture an image of the item using at least one camera from among a plurality of cameras, wherein each camera is configured to capture images of at least a portion of the platform;
generate a first encoded vector for the image, wherein the first encoded vector describes one or more attributes of the item;
determine that the item is associated with a first container category based at least in part upon the one or more attributes of the item;
identify one or more items that have been identified as having been placed inside a container associated with the first container category;
display on a graphical user interface (GUI) a list of item options that comprises the one or more items;
receive a selection of a first item from among the list of item options; and
identify the first item as being placed inside the container.
16 . The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the one or more processors to add the first item to a virtual shopping cart associated with a user.
17 . The non-transitory computer-readable medium of claim 15 , wherein to display the list of item options that comprises the one or more items on the GUI, the instructions further cause the one or more processors to:
order the one or more items such that a particular item that has been identified as having been placed inside the container more than the rest of the one or more items is displayed first in the list of item options; and
display the ordered list of one or more items on the GUI.
18 . The non-transitory computer-readable medium of claim 15 , wherein to generate a first encoded vector for the image, the instructions further cause the one or more processors to extract a set of features from the image, wherein:
the set of features represents the one or more attributes of the item; and
the set of features is represented by numerical values.
19 . The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the one or more processors to:
generate a bounding box around the item in the image; and
display the image showing the item with the bounding box on the GUI.
20 . The non-transitory computer-readable medium of claim 15 , wherein the first item has been identified to have been placed inside the container more than the rest of the one or more items.