The present invention relates to a multiple vision system and method. More specifically, the present invention is concerned with a multiple vision system and method for identifying and classifying three-dimensional objects.
In the wood processing industry for example, wood grading and wood classification are important steps to sort out a variety of wood grades in accordance with specific applications.
Traditionally, grading of planed lumbers is done by a qualified operator. The operator examines and segregates the wood pieces according to a numeric grade such as grade 1, grade 2, and grade 3 following predetermined standards. This evaluation must be done very rapidly, generally at a rate of sixty pieces per minute per operator, according to several criteria and in adherence to stringent rules. Grading allows selecting and dispatching wood pieces according to the specific applications and to a client's needs, thereby allowing rationalizing the use of wood in a cost-effective way.
Typically, classification is done according to norms generated by national commissions with the purpose of obtaining uniform characteristics and quality throughout plants manufacturing a given type of wood. Obviously, the operators work under tremendous pressure. Moreover, evaluation standards used by the operators are so strict that they result in “over-quality”, meaning that approximately 15% of the wood pieces are over-classified, i.e. graded in an inferior grade, which in turn results in reduced profits. A number of technologies have been developed to automate the classification work. However, few have been successful in increasing the rate of classification and allowing reducing human intervention while maintaining the desired quality.
Indeed, a number of attempts have been made to simplify and accelerate wood classification. Since evaluation of an object requires that a peripheral surface thereof is evaluated, it has been contemplated positioning cameras above and under a conveyor carrying the wood pieces for example, but a recurrent problem is the accumulation of debris on lower cameras. In U.S. Pat. No. 5,412,220 issued to Moore in 1995, this problem is addressed by adding to the conveyor a mechanism to rotate each wood piece in such a way that all four longitudinal faces thereof can be exposed to a camera.
There is still a need in the art for a multiple vision system and method for identifying and classifying three-dimensional objects.
The present description refers to a number of documents, the content of which is herein incorporated by reference in their entirety.
More specifically, in accordance with the present invention, there is provided a conveyer system comprising at least one conveyer unit conveying an object; a lighting unit; a vision unit; wherein the lighting unit illuminates the object in the line of sight of the vision unit as the vision unit takes at least a first image at a first angle and a second image at a second angle of each surface of the object on the conveyer unit.
There is further provided a method of imaging a 3D object conveyed on a conveyer unit, comprising illuminating the object in the line of sight of a vision unit and taking, by the vision unit, at least a first image at a first angle and a second image at a second angle of each surface of the object on the conveyer unit.
Other objects, advantages and features of the present invention will become more apparent upon reading of the following non-restrictive description of specific embodiments thereof, given by way of example only with reference to the accompanying drawings.
In the appended drawings:
In a nutshell, there is provided a conveyer system and method comprising at least one conveyer unit conveying an object; a lighting unit; a vision unit; with the lighting unit illuminating the object in the line of sight of the vision unit as the vision unit takes at least a first image at a first angle and a second image at a second angle of each surface of the object on the conveyer unit.
As illustrated in
The frame 12 is a robust structural body, generally metallic. It is shown here as supporting the conveyor unit 14 conveying objects, but the conveyer unit 14 may be self supported. The frame 12 may be provided with articulated arms 20, shown in
The conveyor unit 14 is shown in
The objects are generally 3D objects, comprising a top face, a bottom face and surfaces joining the top and bottom faces, referred to as edges. It is to be noted that the term “edges” as used herein refers to the sides of the 3D object, as opposed to the top face and the bottom face. The edges can be straight edges of 3D objects as illustrated in the Figures for clarity purposes, or less defined sides or transitions between a generally upper face and a generally lower face. Surfaces of the objects refer to the top face, the bottom face and the edges of the object.
The lighting and the vision units may be separate and remotely located from the frame 12.
In the embodiment illustrated in
It is to be noted that a different number of light sources may be used, in order to illuminate the surfaces of the objects, provided the different light sources generate contrast allowing to see defects of the objects. For example, it may be contemplated providing illumination on 360°, i.e. all around the conveyer unit 14.
The vision unit comprises cameras. The cameras may be permanently anchored on the frame 12 for example. The cameras may be color high-speed high-resolution line-scan cameras for example.
In the embodiment illustrated in
In the example of
In each camera sub-unit, above and below the conveyor, the vision axis of each camera is inclined relatively to the conveyor unit movement axis (see arrow A
Moreover, on a given side (above or below) of the conveyer unit 14, the cameras of a sub-unit are arranged so that the angle-of-view of each camera is of 60°±15°/120°±15° in relation to the surface of the object facing this given side (above or below of the conveyer unit 14), as shown in
The light sources are positioned to illuminate the object within the line of vision of each camera. In
As people in the art will appreciate, a system according to the present invention thus comprises at least four cameras, two above the conveyer unit and two below the conveyer unit and light sources located above the conveyer unit and below the conveyer unit to illuminate the object placed on the conveyer within the line of sight of each of the cameras.
As described hereinabove, in the embodiment of
In the embodiments described hereinabove, the vision unit and the lighting unit are distributed on both side of the conveyer unit 14. However, it could be contemplated using a vision unit and a lighting unit on one side of the conveyer unit 14 and moving the object upside down on the conveyer unit between different images.
The cameras are connected to computers (not shown) of the processing unit 18. In the embodiment illustrated in
In a specific embodiment given by way of example, the lighting and the vision units are inclined at an angle relatively to the movement axis of the conveyor unit 14 and comprise 16 linear high speed color high resolution cameras divided into two vision sub-units located above and below the conveyor unit 14 as described hereinabove. The first vision sub-unit comprises a set of 8 cameras in pairs located in a row and distributed at intervals on the frame 12 along a transversal axis. This sub-unit comprises 4 pairs of cameras located at an angle of approximately 60°±15°/120°±15° above the conveyor unit 14 to collect data from the top face and the edges of the object to be analyzed. The second sub-unit comprises a set of 8 cameras in 4 pairs located in a row and distributed at intervals on the frame 12 along a transversal axis. This sub-unit comprises 4 pairs of cameras located at an angle of approximately 60°±15°/120°±15° below the conveyor unit 14 to collect data from the bottom face and the edges of the object to be analyzed.
Such a spatial configuration of the vision system allows to collect data on the four longitudinal sides (top and bottom faces and two edges) of the object to be analyzed, by allowing each vision sub-unit to collect data on three of the longitudinal surfaces.
Depending of the length of the objects for example, the number of pairs of cameras can be increased from 2 pairs (4 cameras), with the corresponding adjustment in the number of light sources, as described hereinabove. Other relative angles may be used.
The processing unit thus receives for processing, for each of the four surfaces (top and bottom faces and the edges) of each objet, two views at different angles, which allows an accurate detection of defects in each object, especially, in the case of wood pieces, of openings, such as shakes (i.e., typically, separations of wood fibers along the grain), seasoning checks (i.e., typically, lengthwise separations of the wood that usually extend across the rings of annual growth and commonly result from stresses set up in wood during seasoning), ring shakes (i.e., typically, shakes appearing in the heart of mature wood, directed along the annual rings and characterized by a large extension lengthwise along the pieces); splits (typically cracks originating at one given face and crossing the piece to any other face); and drying checks (typically crack occurring due to drying of the piece, which may occur anywhere of the piece and consist of a separation of the grains of the wood).
By doubling the number of cameras, or by increasing the number of points of view of each object, it is possible to analyze each object from a number of angles, as well as to have a better observation of all corners of each object.
The present system and method allow analyzing defects on a plurality of images taken with different shooting angles.
It has been found that the visual contrast of an opening in a 3D object such as a wood piece for example depends on the angle of view (by the cameras) in relation to the penetration angle of the opening in the piece and the angle of the lighting provided.
With the present vision system and method, the four corners A, B, C and D of an object are distinctly detected, since they are all in the line of sight of a camera (see arrows
It is to be noted that the present system allows handling 3D objects of a variety of shape and geometry. In particular, the system may be adapted to a range of longitudinal wood pieces of different lengths and types (for example, rough, raw, planed or uncut) by obvious adjustment of the vision unit.
As people in the art will appreciate, although illustrated hereinabove in relation to a transversal conveyer system 10, the present vision system may be adapted to linear conveyer systems, in place of a conventional single vision system comprising one camera looking perpendicularly at each face of the wood piece, yielding one view per face (see
In
In
The present invention thus provides obtaining, for each surface of the object, at least two images at different angles.
As the objects are conveyed on conveyer belts or chains 14a, 14b, 14c, 14d for example as described hereinabove, some parts of the object may be hidden from the cameras. In order to obtain images from these hidden parts, it may be contemplated longitudinally displacing each object, using a plate 220 for example, from O1 to O2 as shown in
Alternatively, it may be contemplated interrupting the continuity of the conveyer unit 14 transversally, i.e. from 14a, 14b, 14c, 14d to 14a′, 14b′, 14c′, 14d′ as shown for example in
As shown in
It has been found that lugs 210 having an angle relative to the surface of the conveyer means, as shown in
As people in the art will appreciate, reducing the vibration and movements of the conveyed objects as they are conveyed through the multiple vision unit allows precise detection.
According to another embodiment of the present invention, the system comprises cameras taking images of the object at one position (as opposed to two positions as described in relation to
Although the present invention has been described hereinabove by way of embodiments thereof, it can be modified, without departing from the nature and teachings of the subject invention as recited hereinbelow.
This application claims benefit of U.S. provisional application Ser. No. 61/328,810, filed on Apr. 28, 2010. All documents above are incorporated herein in their entirety by reference.
Number | Date | Country | |
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61328810 | Apr 2010 | US |