Wood tracking by identification of surface characteristics

• US 7,426,422 B2
• Filed: 12/12/2006
• Issued: 09/16/2008
• Est. Priority Date: 07/24/2003
• Status: Active Grant

• Current Assignee: Lucidyne Technologies, Inc. (Fincomp Srl)
• Original Assignee: Lucidyne Technologies, Inc. (Fincomp Srl)
• Inventors: Briskey, William J., Carman, George M., Heyman, Ofer, Freeman, Patrick S.
• Primary Examiner(s): SELF, SHELLEY M
• Application Number:
  US11/609,744
• Publication Number:
  US 20070119518A1
• Time in Patent Office: 644 Days
• Field of Search: 144/356, 144/394, 144/404, 144/392, 144/402, 144/403, 382/141, 700/117, 700/115, 700/167, 209517-521
• US Class Current: 700/117
• CPC Class Codes: B07C 5/14 Sorting timber or logs , e.g. tree trunks, beams, planks or the like
• CPC Class Codes: G01N 21/8986 Wood
• CPC Class Codes: G01N 33/46 Wood
• CPC Class Codes: G05B 19/4183 characterised by data acquisition, e.g. workpiece identification
• CPC Class Codes: G05B 2219/31296 Identification, pallet object data and program code for station
• CPC Class Codes: G05B 2219/31311 Data are id, destination, number of pieces, alternative destination, process data

Abstract

A “Woodprint™” characterization and identification technique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Claims

1. A substantially automated wood processing system, comprising:

a wood evaluation station including a first light source and a first sensor for acquiring first data about inherent wood characteristics of multiple pieces of wood, including at least first and second pieces of wood;

first characterization software in communication with the first sensor for using at least some of the first data to create a first data packet for each of at least the first and second pieces of wood that uniquely identifies at least the first and second pieces of wood based on at least one given inherent wood characteristic;

a wood identification station including a second light source and a second sensor for acquiring second data about at least one given inherent wood characteristic of at least the first and second pieces of wood, the second sensor in communication with the first characterization software and/or second characterization software for using at least some of the second data to create a second data packet for each of at least the first and second pieces of wood; and

processing circuitry directly or indirectly in communication with the first and/or second characterization software and having comparison software for comparing the second data packets to the first data packets of the at least first and second pieces of wood to create comparison scores for the second data packets, the comparison software employing confidence levels associated with the comparison scores of the second data packets of the at least first and second pieces of wood to determine the identity of at least the second piece of wood.

2. The system of claim 1 further comprising different types of first and second image acquisition hardware at the respective wood evaluation and wood identification stations, at least one of the first or second image acquisition hardware comprising a camera.

3. The system of claim 1 further comprising different types of light sources at the wood evaluation and wood identification stations to illuminate the pieces of wood.

4. The system of claim 1 in which the first sensor and/or other sensor independently detect the inherent wood characteristic information associated with a green wavelength and/or the first, second, and/or other characterization software independently analyze the inherent wood characteristic information associated with a green wavelength.

5. The system of claim 1 in which the wood evaluation station is designed to receive the first and second pieces of wood traveling in a first orientation to obtain first inherent wood characteristic data from the first and second pieces of wood in the first orientation;

and

in which the wood identification station is designed to receive the first and second pieces of wood traveling in a second orientation that is intentionally transverse to the first orientation to obtain second inherent wood characteristic data from the first and second pieces of wood in a second orientation.

6. The system of claim 1 in which the first sensor comprises first image acquisition hardware to collect first image data of at least portions of the first and second pieces of wood at the wood evaluation station,

in which the second sensor comprises second image acquisition hardware to collect second images of at least portions of the first and second pieces of wood at the wood identification station,

and in which the

comparison software awards tolerance values for inherent wood characteristic data within the respective data packets, the tolerance values facilitating the determination of which of the second data packets obtained at the wood identification station matches one of the first data packets obtained at the wood evaluation station.

7. The system of claim 6 in which the confidence levels are associated with at least one grain characteristic selected from grain frequency magnitude or grain direction.

8. The system of claim 1 in which the confidence levels are associated with at least one grain characteristic selected from grain frequency magnitude or grain direction.

9. The system of claim 6 in which the image characterization software is adapted for:

dividing the first data about inherent wood characteristics into respective similar first virtual arrays of respective multiple first corresponding cells;

assigning for some or all of the first multiple corresponding cells one or more characteristic values based on an inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple first corresponding cells;

dividing the second data about inherent wood characteristic into respective second virtual arrays of multiple second corresponding cells corresponding to respective similar multiple first corresponding cells;

assigning for some or all of the multiple second corresponding cells one or more characteristic values based on the inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple second corresponding cells;

comparing the characteristic value of the inherent wood surface characteristic for some or all of the multiple second corresponding cells associated with a second data packet to the characteristic value of the inherent wood surface characteristic for some or all of the corresponding multiple first corresponding cells associated with a first data packet; and

determining whether a sufficient number of the respective multiple first and second corresponding cells have sufficiently similar characteristic values to indicate that the piece of wood associated with the second data packet corresponds to the piece of wood associated with the first data packet.

10. The system of claim 7 in which the image characterization software is adapted for:

dividing the first data about inherent wood characteristics into respective similar first virtual arrays of respective multiple first corresponding cells;

assigning for some or all of the first multiple corresponding cells one or more characteristic values based on an inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple first corresponding cells;

dividing the second data about inherent wood characteristic into respective second virtual arrays of multiple second corresponding cells corresponding to respective similar multiple first corresponding cells;

assigning for some or all of the multiple second corresponding cells one or more characteristic values based on the inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple second corresponding cells;

comparing the characteristic value of the inherent wood surface characteristic for some or all of the multiple second corresponding cells associated with a second data packet to the characteristic value of the inherent wood surface characteristic for some or all of the corresponding multiple first corresponding cells associated with a first data packet; and

determining whether a sufficient number of the respective multiple first and second corresponding cells have sufficiently similar characteristic values to indicate that the piece of wood associated with the second data packet corresponds to the piece of wood associated with the first data packet.

11. The system of claim 1 further comprising image characterization software adapted for:

dividing the first data about inherent wood characteristics into respective similar first virtual arrays of respective multiple first corresponding cells;

assigning for some or all of the first multiple corresponding cells one or more characteristic values based on an inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple first corresponding cells;

dividing the second data about inherent wood characteristic into respective second virtual arrays of multiple second corresponding cells corresponding to respective similar multiple first corresponding cells;

assigning for some or all of the multiple second corresponding cells one or more characteristic values based on the inherent wood surface characteristic as the inherent wood surface characteristic appears in the respective multiple second corresponding cells;

comparing the characteristic value of the inherent wood surface characteristic for some or all of the multiple second corresponding cells associated with a second data packet to the characteristic value of the inherent wood surface characteristic for some or all of the corresponding multiple first corresponding cells associated with a first data packet; and

determining whether a sufficient number of the respective multiple first and second corresponding cells have sufficiently similar characteristic values to indicate that the piece of wood associated with the second data packet corresponds to the piece of wood associated with the first data packet.

12. The system of claim 1 in which the inherent wood characteristic information comprises tracheid data.

13. The system of claim 1 in which the first and second pieces of wood each comprise a board and the inherent wood characteristic information comprises a defect.

14. The system of claim 1 in which the pieces of wood each comprise a board and the inherent wood characteristic information is obtained from at least one of an end, side, or face of the board.

15. The wood tracking system of claim 1 further comprising:

first image acquisition hardware at the wood evaluation station to collect first images of at least portions of the first and second pieces of wood as they travel at a first travel speed through a first image collection area at the wood evaluation station; and

second image acquisition hardware at the wood identification station to collect second images of at least portions of the first and second pieces of wood as they travel at a second travel speed through a second image collection area at the wood identification station, the second travel speed being different from the first travel speed.

16. The system of claim 1 further comprising:

first image acquisition hardware at the wood evaluation station to collect first images of at least a portion of the respective first and second pieces of wood;

second image acquisition hardware at the wood identification station to collect second images of at least a portion of the first and second pieces of wood; and

image processing software to adjust the first and second images to conform to a predetermined size and orientation.

17. The system of claim 6 in which the first image acquisition hardware at the wood evaluation station is adapted to collect first images of at least a portion of the respective first and second pieces of wood and in which the second image acquisition hardware at the wood identification station is adapted to collect second images of at least a portion of the first and second pieces of wood, the system further comprising:

image processing software to adjust the first and second images to conform to a predetermined size and orientation.

18. The system of claim 6 in which the first image acquisition hardware at the evaluation and the second image acquisition hardware at the wood identification stations are different, and at least one of the first or second image acquisition hardware comprises a camera.

19. The system of claim 1 in which surfaces from which the first inherent wood characteristic information is obtained are altered before the second inherent wood characteristic information is obtained.

20. A method for identifying characterized pieces of wood, comprising:

acquiring first data about inherent wood characteristics of multiple pieces of wood, including at least first and second pieces of wood, at a wood evaluation station;

characterizing at least some of the first data to create a first data packet for each of at least the first and second pieces of wood that uniquely identifies at least the first and second pieces of wood based on at least one given inherent wood characteristic;

acquiring second data about at least one given inherent wood characteristic of at least the first and second pieces of wood at a wood identification station;

characterizing at least some of the second data to create a second data packet for each of at least the first and second pieces of wood; and

comparing the second data packets to the first data packets of the at least first and second pieces of wood to create comparison scores for the second data packets relative to the first data packets; and

employing confidence levels associated with the comparison scores of the second data packets of the at least first and second pieces of wood to determine the identity of at least the second piece of wood.

21. The method of claim 20 further comprising:

altering the appearance of multiple pieces of wood after the first inherent wood characteristic information is obtained and before the second inherent wood characteristic information is obtained.