System and method for classification of timber
View Patent ↗The present invention provides a system and a method to grade a piece of wood and simultaneously to classify this piece of wood by allowing an examination of four longitudinal faces thereof, so as to determine optimal specifications for a subsequent use thereof such as shaving, trimming ends, and other applications. The system comprises a structure, a transversal conveyor, a vision unit and a processing unit. The vision unit is partly located above the conveyor in an inclined plane, collecting data on a lateral and upper longitudinal face of an object as the object moves with the conveyor, and partly located under the conveyor, at an angle therewith, collecting data from a complementary lateral longitudinal face of the object as well as from an inferior longitudinal face thereof, as the object moves with the conveyor. The system allows classification of wooden pieces according to predetermined standards, at a rate of 200 pieces per minute with a margin of error less than or equal to 2%.
1. A system for classification of an object, comprising:
a frame;
a transversal conveyor supported by said frame and carrying the object along a direction perpendicular to a lengthwise direction thereof, said transversal conveyor having an inclination relative to a horizontal direction; and
vision subunits placed transversely with regard to said frame, inclined at an angle relatively to a movement axis of said transversal conveyor, said vision subunits comprising measuring means and cleaning means;
wherein said vision subunits scan two sides and two edges of the object.
2. A system for classification of an object, comprising:
a frame;
a transversal conveyor supported by said frame and carrying the object along a direction perpendicular to a lengthwise direction thereof, said transversal conveyor having an inclination relative to a horizontal direction;
vision subunits placed transversely with regard to said frame, inclined at an angle relatively to a movement axis of said transversal conveyor; said vision subunits scanning two sides and two edges of the object; and
a processing unit;
wherein said processing unit comprises a master component to control and monitor operation parameters of the system; at least one component linked directly to the vision subunits and dedicated to an acquisition and preliminary treatment of images of the object; a component integrating all data collected relatively to the object including defects and position thereof; a component computing an optimal solution for the object.
3. A system for classification of an object, comprising:
a frame;
a transversal conveyor supported by said frame and carrying the object along a direction perpendicular to a lengthwise direction thereof, said transversal conveyor having an inclination relative to a horizontal direction; and
vision subunits placed transversely with regard to said frame, inclined at an angle relatively to a movement axis of said transversal conveyor; said vision subunits scanning two sides and two does of the object;
wherein said frame comprises articulated arms extending and adjusting according to different angles for supporting lights of said vision subunits.
4. The system according to any one of claims 1 , 2 and 3 , wherein said vision subunits comprise a first vision sub-unit comprising at least one camera placed above said transversal conveyor at a first angle between an axis of said at least one camera and the movement axis of said transversal conveyor so as to scan a first side and a first edge of the object; a second vision sub-unit comprising at least one camera placed under said transversal conveyor at such a second angle between the at least one camera vision axis and the transversal conveyor movement axis so as to scan a second side and a second edge of the object.
5. The system according to claim 4 , wherein said first angle is approximately 60±15 degrees and said second angle is approximately 120±15 degrees.
6. The system according to any one of claims 1 , 2 and 3 , wherein said vision subunits comprise a plurality of high-speed color linear cameras anchored permanently on said frame.
7. The system according to any one of claims 1 and 3 , further comprising a processing unit.
8. The system according to claim 2 , wherein said processing unit includes an expert system.
9. The system according to any one of claims 1 , 2 and 3 , further comprising additional vision sub-units to collect data on transversal ends of the object.
10. The system according to any one of claims 1 , 2 and 3 , wherein the inclination of the transversal conveyor relative to the horizontal direction is of approximately 30±15 degrees.
11. The system according to claim 2 , wherein said processing unit integrates a location of said vision subunits and the inclination of said transversal conveyor unit as parameters.
12. The system according to any one of claims 1 , 2 and 3 , wherein the object comprises three-dimensional longitudinal pieces.
13. The system according to any one of claims 1 , 2 and 3 , wherein the system is a grade classification system for wood pieces.
14. A grade optimizer for lumber planks comprising a frame supporting a transversal conveyor, a vision unit comprising a plurality of cameras and cleaning means, and a processing unit; wherein said cameras are placed in rows transversally with regard to said frame; said transversal conveyor having an inclination angle and transporting the lumber planks in a direction perpendicular to a lengthwise direction of the lumber planks; said vision unit comprising a first vision sub-unit positioned above and at a first predetermined angle relative to a movement axis of the transversal conveyor; and a second vision sub-unit placed below and at a second predetermined angle relative to the movement axis of the transversal conveyor, the inclination angle of the transversal conveyor being of approximately 30±15 decrees relatively to a horizontal axis; said first predetermined angle is an angle of approximately 60±15 degrees and said second predetermined angle is an angle of approximately 120±15 degrees, wherein each vision sub-unit scans an edge and a face of the lumber planks.
15. The grade optimizer according to claim 14 , wherein said processing unit comprises an expert system.
16. The grade optimizer according to claim 14 , wherein said processing unit allows analyzing data collected by said vision unit, identifying the data, and monitoring operational parameters of the grade optimizer.
17. The grade optimizer according to claim 14 , wherein said vision unit is anchored on the frame.
18. The grade optimizer for lumber planks according to claim 14 , wherein said grade optimizer allows treatment of the lumber planks of a length up to 24 feet, at a rate of at least 200 lumber planks per minute with a margin of error of at most 2%.
19. A method for classification of a three-dimensional object moved in a direction perpendicular to a lengthwise direction thereof by a transversal conveyor, comprising:
providing a first vision unit positioned above the transversal conveyor at a first angle relatively to a movement axis of the transversal conveyor;
providing a second vision unit positioned under the transversal conveyor at a second angle relatively to the movement axis of the transversal conveyor, the second vision unit comprising cleaning means;
providing a measuring means connected to the first and to the second vision units; and
acquiring and processing data obtained by the measuring means;
wherein the first vision unit scans a first face and a first edge of the object while the second vision unit scans a second face and a second edge of the object.
20. The method according to claim 19 , wherein said providing a first vision unit comprises providing a first vision unit positioned above the transversal conveyor at an angle of approximately 60±15 degrees relatively to the movement axis of the transversal conveyor; and said providing a second vision unit comprises providing a second vision unit positioned under the transversal conveyor at an angle of approximately 120±15 degrees relative to the movement axis of the transversal conveyor.
21. The method according to claim 19 , wherein said acquiring data comprises examining an upper longitudinal face and a first side longitudinal lateral face of the object by the first vision unit and examining a lower longitudinal face and a second longitudinal lateral face of the object by the second vision unit; and said processing data comprises processing the acquired data by an optimization unit.
22. The method according to claim 19 , comprising placing the transversal conveyer at an inclination angle of approximately 30±15 degrees relatively to a horizontal axis.