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US 2026/0278809 A1Published application
System and method for class-agnostic counting of one or more items in a container
AssigneeNTT Ltd Group Services America, Inc.
InventorsSai Kwong Yusuf MAI, Mingrui YU
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Abstract
The present application pertains to systems and methods of tracking, control, management and counting of objects, items or materials within a monitored area. More particularly, embodiments relate to systems and processes for class-agnostic counting of one or more items in a container in the monitored area.
Claims20
A method of class-agnostic counting of one or more items in a container, said method comprising:
- a. receiving, from one or more detection devices, image data of one or more items of interest placed in a container and a background, said image data comprising three-dimensional (3-D) image data and a two-dimensional (2-D) image data of one or more items of interest placed in the container and the background;
- b. obtaining depth information for each pixel of the 3D image data;
- c. generating, using the depth information, one or more depth masks corresponding to each of one or more items of interest;
- d. extracting, using the one or more depth masks and the 2-D image data, the one or more items of interest from the background to individually segment each of the one or more items of interest;
- e. performing a count of the individually segmented one or more items of interest;
- f. performing object tracking by tracking a location of the container and/or the one or more items of interest in an area;
- g. detecting, using motion detection, if one or more of the items of interest in the container have been removed and/or if additional items of interest have been added to the container;
- and
- h. repeating steps a.-g. until the one or more items of interest and the container reach an exit point in the area, wherein a last count of the one or more items of interest in the container is set as a final count of the one or more items of interest in the container.
6 more elements
A system for class-agnostic counting of one or more items in a container comprising:
- one or more detection devices;
- one or more processors, wherein the one or more processors are in communication with the one or more detection devices, and the one or more processors are in communication with a memory, the memory having stored thereon computer-executable code sections that cause the processor to:
- (a) receive, from the one or more detection devices, image data of one or more items of interest placed in a container and a background, the image data comprising a three-dimensional (3-D) image data and a two-dimensional (2-D) image data of one or more items of interest placed in the container, and the background;
- (b) obtain depth information for each pixel of the 3D image data;
- (c) generate, using the depth information, one or more depth masks corresponding to each of one or more items of interest;
- (d) extract, using the one or more depth masks and the 2-D image data, the one or more items of interest from the background to individually segment each of the one or more items of interest;
- (e) perform a count of the individually segmented one or more items of interest;
- (f) perform object tracking by tracking a location of the container and/or the one or more items of interest in an area;
- (g) detect, using motion detection, if one or more of the items of interest in the container have been removed and/or if additional items of interest have been added to the container;
- and
- (h) repeat steps a.-g. until the one or more items of interest and the container reach an exit point in the area, wherein a last count of the one or more items of interest in the container is set as a final count of the one or more items of interest in the container.
8 more elements
A non-transitory computer-readable medium having computer-executable code sections stored thereon for execution a method of class-agnostic counting of one or more items in a container, said method comprising:
- (a) receiving, from one or more detection devices, image data of one or more items of interest placed in a container and a background, the image data comprising three-dimensional (3-D) image data and a two-dimensional (2-D) image data of one or more items of interest placed in the container and the background;
- (b) obtaining depth information for each pixel of the 3D image data;
- (c) generating, using the depth information, one or more depth masks corresponding to each of one or more items of interest;
- (d) extracting, using the one or more depth masks and the 2-D image data, the one or more items of interest from the background to individually segment each of the one or more items of interest;
- (e) performing a count of the individually segmented one or more items of interest;
- (f) performing object tracking by tracking a location of the container and/or the one or more items of interest in an area;
- (g) detecting, using motion detection, if one or more of the items of interest in the container have been removed and/or if additional items of interest have been added to the container;
- and
- (h) repeating steps a.-g. until the one or more items of interest and the container reach an exit point in the area, wherein a last count of the one or more items of interest in the container is set as a final count of the one or more items of interest in the container.
6 more elements
Dependencies are inferred from the claim text.