Tool training for automated tool control systems

• US 9,836,907 B2
• Filed: 06/12/2013
• Issued: 12/05/2017
• Est. Priority Date: 06/12/2012
• Status: Active Grant

• Current Assignee: Snap-On Incorporated
• Original Assignee: Snap-On Incorporated
• Inventors: Phillips, Preston, Fly, David C., Lipsey, Matthew J., Chwan, Jr., Joseph, Rogers, Frederick J.
• Primary Examiner(s): Frenel, Vanel
• Application Number:
  US13/916,245
• Publication Number:
  US 20140025543A1
• Time in Patent Office: 1,637 Days
• Field of Search: 705 28, 340 31, 340 51, 340 52, 235385, 700236, 382103
• CPC Class Codes: A47F 3/02 with dispensing arrangements A47F1/04 takes precedence; for cigars or cigarettes A24F15/04; for cigarette papers A24F17/00; for hand towels or toilet paper A47K; for photographic paper G03B; coin-freed G07F
• CPC Class Codes: B25H 3/00 Storage means or arrangements for workshops facilitating access to, or handling of, work tools or instruments containers or packages with special means for dispensing contents B65D83/00; nail dispensers B25C3/00
• CPC Class Codes: B25H 3/028 by sliding extraction from within a common frame
• CPC Class Codes: G06F 18/213 Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
• CPC Class Codes: G06F 3/0486 Drag-and-drop
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G07C 9/00896 specially adapted for particular uses
• CPC Class Codes: G07C 9/00912 for safes, strong-rooms, vaults or the like
• CPC Class Codes: G07C 9/22 in combination with an identity check of the pass holder
• CPC Class Codes: G07C 9/23 by means of a password
• CPC Class Codes: G07C 9/28 the pass enabling tracking or indicating presence

Abstract

An inventory control system and method determines an inventory condition of objects stored in the system. Embodiments include a storage container including a plurality of storage locations for storing objects; an image sensing device to capture image data of the container, including image data of the plurality of storage locations and a target area that includes an individual object storage location having less than the plurality of storage locations; a data storage device for storing the image data of the container; and a data processor. The processor receives initial image data representing an initial image of the plurality of storage locations, and image data representing an image of the target area captured subsequent to the initial image; modifies the initial image data based on the image data of the target area to generate adjusted image data; and stores the adjusted image data in the data storage device.

Claims

1. An inventory control system comprising:

a storage container including a plurality of storage locations for storing objects;

an image sensing device configured to capture image data of the container, including image data of all of the plurality of storage locations, and of a target area of the container that includes an individual object storage location comprising less than the plurality of storage locations;

a data storage device for storing the image data of the container; and

a data processor configured to;

receive initial image data representing an initial image of the plurality of storage locations, receive image data representing an image of the target area captured subsequent to the initial image, wherein an object stored in the target area when the image of the target area is captured may not be recognized based on the initial image data;

modify the initial image data based on the image data of the target area to generate adjusted image data; and

store the adjusted image data in the data storage device;

whereby the inventory control system can be trained or re-trained to determine the inventory condition of the object stored in the target area using the adjusted image data.

2. The inventory control system of claim 1, wherein the storage container comprises a drawer or a tray.

3. The inventory control system of claim 1, wherein the initial image of the plurality of storage locations is captured when all the objects are present, and the image of the target area is captured when the individual object is present;

and

wherein the data processor is further configured to receive image data representing an image of the target area captured when the individual object is not present, and store the image data in the data storage device.

4. The inventory control system of claim 1, wherein the objects comprise tools.

5. A method comprising:

receiving, in an inventory control system having a storage container including a plurality of storage locations for storing objects, selection of a target area of the container that includes an individual object storage location comprising less than the plurality of storage locations;

capturing via an image sensing device of the inventory control system initial image data representing an initial image of the plurality of storage locations;

capturing via the image sensing device image data representing an image of the target area subsequent to the initial image, wherein an object stored in the target area when the image of the target area is captured may not be recognized based on the initial image data;

modifying via a data processor of the inventory control system the initial image data based on the image data of the target area to generate adjusted image data; and

storing via the data processor the adjusted image data in a data storage device of the inventory control system;

whereby the inventory control system can be trained or re-trained to determine the inventory condition of the object stored in the target area using the adjusted image data.

6. The method of claim 5, wherein receiving selection of the target area includes receiving a selection of the target area from a user operating the inventory control system.

7. The method of claim 6, wherein the initial image of the plurality of storage locations is captured when all the objects are present, and the image of the target area is captured when the individual object is present;

the method further comprising;

removing the individual object from the target area;

capturing image data representing an image of the target area when the individual object is not present; and

storing the image data.