APPARATUS AND METHOD FOR PERFORMING AN ITEM PICKING PROCESS

• US 20160063429A1
• Filed: 08/28/2014
• Published: 03/03/2016
• Est. Priority Date: 08/28/2014
• Status: Abandoned Application

• Current Assignee: Symbol Technologies, LLC (Zebra Technologies Corporation)
• Original Assignee: Symbol Technologies, Inc. (Zebra Technologies Corporation)
• Inventors: Varley, Jordan K., Choi, Jaeho, Fountain, Mark Thomas
• Application Number:
  US14/471,197
• Publication Number:
  US 20160063429A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

A method and system for performing an item picking process is provided. In operation, a computing device receives an indication of a known item to be picked. The computing device also receives a known set of signature information for the known item from a first information source. As well, data is received from a first module, at least a portion of the first module being wearable. A detected set of signature information for at least one item being picked up is detected based on the data received and item attributes are identified for the at least one item being picked up based on the known and the detected sets of signature information.

Claims

1. A method of performing an item picking process at a picking system comprising:

receiving an indication of a known item to be picked;

receiving a known set of signature information for the known item from a first information source;

receiving data from a first module, at least a portion of the first module being wearable;

detecting a detected set of signature information for at least one item being picked up based on the data; and

identifying item attributes for the at least one item being picked up based on the known and the detected sets of signature information.

2. The method of claim 1 wherein the first module further comprises at least one of a wearable camera, a wearable ultrasound location mechanism, a wearable transmitter, a wearable force sensor and a wearable EMG sensor.

3. The method of claim 2 wherein the detected set of signature information further comprises at least one of detected color, detected weight and detected dimension.

4. The method of claim 3 wherein the detected dimension is based on a relative micro location of at least some components of the first module.

5. The method of claim 4 wherein the at least some components are integrated with gloves and the relative micro location is a distance between the gloves.

6. The method of claim 1

wherein the known set of signature information includes at least one of a known article weight and a known article dimension,

wherein the detected set of signature information includes at least one of a detected item weight and a detected item dimension,

wherein the item attributes further comprise the number of articles being picked up and wherein the identifying further comprises:

identifying the number of articles being picked up based on at least one of

the detected item weight and the known article weight and

the detected item dimension and the known article dimension.

7. The method of claim 6 further comprising:

updating the first information source based on the identified number of articles being picked up.

8. The method of claim 1

wherein the known set of signature information includes at least one of a known item weight and a known item dimension,

wherein the detected set of signature information includes at least one of a detected item weight and a detected item dimension,

wherein the item attributes further comprises the number of items being picked up and wherein the identifying further comprises:

identifying the number of items being picked up based on at least one of;

the known item weight and the detected item weight and

the known item dimension and the detected item dimension.

9. The method of claim 1 wherein the first information source is a database, the method further comprising:

identifying missing information from the database based on at least one of the detected set of information and the item attributes;

updating the database with the missing information.

10. The method of claim 1, further comprising:

detecting errors based on the known and the detected sets of signature information and the item attributes.

11. The method of claim 1 the method further comprising:

receiving an item-based set of signature information for the item being picked up from a second module.

12. The method of claim 11 wherein the second module comprises at least one of an imaging sensor, a radio frequency identification (RFID) reader, an near field communication (NFC) reader or a touch sensitive capacitive coupling reader.

13. The method of claim 11 wherein the item-based set of signature information is obtained from a marker associated with the item being picked up.

14. The method of claim 1 the method further comprising:

receiving a plurality of item-based set of signature information for the item being picked up from a second module,

wherein the item attributes further comprises the number of items being picked up and wherein the identifying further comprises;

identifying the number of items being picked up based on the plurality of item-based set of signature information.

15. The method of claim 1 further comprising:

receiving motion data from a third module comprising at least one of an accelerometer, gyroscope and location identifying modules; and

confirming the destination placement of the item being picked up based on the additional data.

16. The method of claim 15 wherein the motion data corresponds to a motion of the item being picked up during the picking process.

17. The method of claim 15 further comprising:

when the destination placement is confirmed, updating the first information source based on the detected set of signature information and the item attributes.

18. The method of claim 1 wherein the indication of the known item includes an item location, the method further comprising:

determining a macro location based on the data; and

verifying the macro location against the item location.

19. A picking system comprising:

a first module having a wearable portion; and

a computing device in communication with the first module, the computing device having a processor operating to;

receive an indication of a known item to be picked;

receive a known set of signature information for the known item from a first information source;

receive data from a first module, at least a portion of the first module being wearable;

detect a detected set of signature information for an item being picked up based on the data; and

identify item attributes for the item being picked up based on the known and the detected sets of signature information.

20. The device of claim 19 wherein the wearable portion of the first module is attached to at least one of one hand, two hands, one arm, two arms, one glove, two gloves, a t-shirt and a head.