IP Library Granted Patent US 12,233,568
Granted Patent B2
US 12,233,568 · App. 17/517,809 · Granted Feb 25, 2025

Wood optimization system, method of optimizing wood products and wood product selector therefore

Inventors: Marc-Antoine Paquet (Lévis, CA); Wassim Louati (Lévis, CA); Carl Poirier (Lévis, CA)
Assignee: TIMBER TECHNOLOGY INC.
B27B31/06G01B11/022G01B11/25G06T1/0014G06T7/0004
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Quick Facts
Patent No.
US 12,233,568
App. No.
17/517,809
Granted
Feb 25, 2025
Kind
B2
Abstract

There is described a wood optimization system for a production line. The wood optimization system generally having a conveyor moving wood products across a handling area; a wood product selector positioned proximate to a selected wood product in the handling area; and a computer vision system along the production line having a camera imaging the handling area, a processor communicatively coupled to the camera, and a computer-readable memory having program code that when executed by the processor perform the steps of: receiving from the camera an image representing at least a portion of the handling area; finding the wood product selector in the image; identifying the selected wood product in the image as the wood product of the plurality being most proximate to the wood product selector; receiving an instruction associated to the selected wood product; and implementing the instruction into optimization data associated to the selected wood product.

Claims (40)

1. A wood optimization system for a production line, the wood optimization system comprising:

a conveyor configured for moving a plurality of wood products across a handling area;

a wood product selector positionable to be proximate to a selected wood product of the plurality of wood products in the handling area; and

a computer vision system along the production line having a camera imaging the handling area, a processor communicatively coupled to the camera, and a non-transitory computer-readable memory having stored thereon a computer program that, when executed by the processor, causes the computer vision system to perform the steps of:

receiving from the camera an image representing at least a portion of the handling area;

finding the wood product selector in the image;

identifying the selected wood product in the image as the wood product of the plurality being most proximate to the wood product selector;

receiving an instruction associated to the selected wood product; and

implementing the instruction into optimization data associated to the selected wood product.

2. The wood optimization system of claim 1 wherein said instruction is a trimming instruction, the wood optimization system further comprising a wood product trimmer positioned downstream from the handling area in the production line and trimming the selected wood product in accordance with the optimization data implementing said trimming instruction.

3. The wood optimization system of claim 1 wherein said identifying the selected wood product in the image includes finding which one of the imaged wood products is at least partially overlapped with the wood product selector.

4. The wood optimization system of claim 1 wherein receiving the instruction includes finding a pattern formed by the wood product selector in the image, and associating the pattern to a corresponding instruction using an instruction database.

5. The wood optimization system of claim 4 wherein said pattern is an illumination pattern.

6. The wood optimization system of claim 1 wherein the wood product selector is a controller, wherein said finding the wood product selector in the image includes finding the controller in the image.

7. The wood optimization system of claim 6 wherein said identifying the selected wood product in the image includes identifying which of the imaged wood products of the plurality is most proximate to the controller.

8. The wood optimization system of claim 6 wherein the controller has a plurality of input sources and a communication unit communicatively coupled to the input sources and configured for wirelessly communicating a signal indicative of an instruction upon activation of a corresponding one of the input sources.

9. The wood optimization system of claim 8 wherein said receiving the instruction includes receiving said signal from said communication unit and associating said signal to a corresponding instruction using an instruction database.

10. The wood optimization system of claim 8 wherein said communication unit includes a radiofrequency antenna configured for generating the signal as a radiofrequency signal.

11. The wood optimization system of claim 8 wherein said communication unit includes one or more illumination sources configured for generating the signal as an illumination pattern, said receiving said signal from said communication unit includes retrieving the illumination pattern generated by the controller in the image.

12. A method of optimizing wood products in a production line, the method comprising:

positioning a wood product selector proximate to a selected wood product of a plurality of wood products being handled across a handling area;

using a camera, generating an image of the handling area representing at least the wood product selector and at least a proximate one of the wood products; and

using a computer,

finding the wood product selector in the image;

identifying the selected wood product in the image as the wood product of the plurality being most proximate to the wood product selector;

receiving an instruction associated to the selected wood product; and

implementing the instruction into optimization data associated to the selected wood product.

13. The method of claim 12 wherein said instruction is a trimming instruction, said method further comprising using a wood product trimmer, trimming the selected wood product in accordance with the optimization data implementing said trimming instruction.

14. The method of claim 13 wherein said identifying the selected wood product in the image includes finding which one of the imaged wood products is at least partially overlapped with the wood product selector.

15. The method of claim 14 wherein said finding is performed only in response to a determination by the computer that the image represents an illumination pattern formed by said wood product selector.

16. The method of claim 13 wherein receiving the instruction includes finding a pattern formed by the wood product selector in the image, and associating the pattern to a corresponding instruction using an instruction database.

17. The method of claim 16 wherein said pattern is an illumination pattern.

18. The method of claim 13 wherein said receiving an instruction associated to the selected wood product includes receiving an electromagnetic signal containing information, and associating said information to a corresponding instruction using an instruction database.

19. The wood product selector of claim 18 further comprising plurality of light indicators generating an illumination pattern being indicative of said desired instruction.

20. The wood product selector of claim 18 wherein said signal is wireless communicated to the wood optimization system.

21. The method of claim 13 wherein said receiving an instruction associated to the selected wood product includes identifying an illumination pattern generated by said wood product selector, and associating said illumination pattern to a corresponding instruction using an instruction database.

22. A wood product selector for use with a wood optimization system, the wood product selector comprising:

a housing having at least a surface;

a plurality of input sources mounted to said surface;

a computing device communicatively coupled to the input sources, the computing device configured to receive an input from an activated one of the input sources and, in response, generating a signal indicative of a desired instruction corresponding to the activated one of the input sources, said desired instruction being implementable into optimization data pertaining to a wood product most proximate to the housing while said activated one of the input sources is activated.

Assignments (4)
SECURITY INTEREST Recorded Jul 20, 2026
From: USNR KOCKUMS CANCAR HOLDINGS ULC
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 075329/0491 →
CHANGE OF NAME Recorded Apr 18, 2024
From: TIMBER TECHNOLOGY, INC.
To: USNR TIMBER TECHNOLOGY, INC.
Reel/Frame 067160/0773 →
MERGER Recorded Apr 18, 2024
From: USNR TIMBER TECHNOLOGY, INC.
To: USNR KOCKUMS CANCAR HOLDINGS ULC
Reel/Frame 067160/0775 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2021
From: PAQUET, MARC-ANTOINE; LOUATI, WASSIM; POIRIER, CARL
To: TIMBER TECHNOLOGY INC.
Reel/Frame 058005/0131 →
Priority Claims (1)
CA CA 3109134 · Feb 12, 2021 · national
Continuity (1)
Related Publication 20220258376A1 · Aug 18, 2022
References Cited (4)
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US 20200016723A1 · Roy · 2020 [cited by examiner]
US 20230024974A1 · Rendahl · 2023 [cited by examiner]
Canadian Patent Office—Examination Report mailed Apr. 3, 2024, from CA Patent Application No. 3,109,134, 3 pages. [cited by applicant]