CN112149499A - Wood block direction recognition device based on machine vision technology - Google Patents
Wood block direction recognition device based on machine vision technology Download PDFInfo
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- CN112149499A CN112149499A CN202010817014.8A CN202010817014A CN112149499A CN 112149499 A CN112149499 A CN 112149499A CN 202010817014 A CN202010817014 A CN 202010817014A CN 112149499 A CN112149499 A CN 112149499A
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V10/40—Extraction of image or video features
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/469—Contour-based spatial representations, e.g. vector-coding
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Abstract
The invention provides a wood block direction recognition device based on a machine vision technology, which is characterized by comprising an image acquisition module and an image processing module, wherein the image acquisition module is connected with the image processing module and comprises an industrial camera, a lens and a light source; the invention provides a wood block direction identification device based on a machine vision technology, which not only can be used for identifying the direction of a wood block, but also can be used for identifying similar application scenes such as bricks or other products. The device consists of an image acquisition module and an image processing module. The image acquisition module mainly comprises an industrial camera, a lens and a light source, and the image processing module mainly comprises a visual industrial personal computer and executed algorithm software. The device can complete the calculation of the direction only by acquiring one image.
Description
Technical Field
The invention utilizes the machine vision technology to identify the placing direction of the wood block, provides key direction information for the automatic feeding and discharging of the wood block, and can be applied to the field of wood block production and processing.
Background
In the wood storage and processing industry, the degree of automation and scale is increasing. The mass imported wood needs further processing and is made into a semi-finished product for other middle and downstream enterprises to use. In such prior processing, automated equipment is required for operation. The method has the advantages that the method has the important step that the wood is subjected to normative feeding, and the direction of fed wood blocks is kept consistent. The wood blocks are generally in a stacking form after being transported, and the direction of each layer is consistent, namely the horizontal direction or the vertical direction. When getting the material with automatic equipment, the level or the vertical direction that will know the billet in advance just can be correct carry out the material loading operation, and this recognition rate must be very fast moreover, can not too much low influence go up unloading efficiency, but the discovery has the device yet to satisfy this requirement at present.
Disclosure of Invention
According to the technical problem, the invention provides a wood block direction recognition device based on a machine vision technology, which is characterized by comprising an image acquisition module and an image processing module, wherein the image acquisition module is connected with the image processing module and comprises an industrial camera, a lens and a light source, the lens is installed on the upper side of the industrial camera, the industrial camera is installed on a bracket, the light source is installed on one side of the industrial camera, and the light source is installed on a lifting bracket;
the image processing module mainly comprises a visual industrial personal computer and executed algorithm software.
The image processing module is a visual manual control mechanism.
The industrial camera is connected with a computer, and the computer is provided with a signal triggering module.
The light source is an LED light source.
A wood block direction recognition device based on a machine vision technology comprises the following specific operation methods:
installing a support and a telescopic support on a wood block conveying field, respectively installing an industrial camera and a light source on the support, then installing a lens on the industrial camera, and adjusting the light source according to the test requirement; the industrial camera monitors the signal, the industrial camera acquires an image through light source irradiation, and the signal shot by the industrial camera is transmitted to the image processing module;
the image processing module extracts boundary points of pictures sent by the industrial camera;
the gradient direction to billet conveying place boundary point is makeed statistics of, and is divided into n with 360 degrees, and n sets up as required, if: 720, each representing 0.5 degree, counting bits, and counting the bits into corresponding counting bits according to the angle value of each boundary point;
performing appropriate smoothing on the statistical result, wherein a weighted average is adopted, that is, a value of a certain number of degrees (for example, a value within ± 5 degrees) around each statistical bit is averaged to be used as the value of the statistical bit;
selecting a statistical position corresponding to the maximum value, calculating an angle (angle A) corresponding to the statistical position, and adding 90 degrees to the angle A to obtain the direction of the wood block;
and the image processing module calculates the direction of the wood block, and the recognition result is sent to an observer after the calculation is finished.
The invention has the beneficial effects that: the invention provides a wood block direction identification device based on a machine vision technology, which not only can be used for identifying the direction of a wood block, but also can be used for identifying similar application scenes such as bricks or other products. The device consists of an image acquisition module and an image processing module. The image acquisition module mainly comprises an industrial camera, a lens and a light source, and the image processing module mainly comprises a visual industrial personal computer and executed algorithm software. The device can complete the calculation of the direction only by acquiring one image.
Drawings
FIG. 1 is a flow chart of the present invention
FIG. 2 is a flow chart of the algorithm of the present invention
Fig. 3 is a graph of the wood direction calculation results of the present invention (red is extracted boundary points, and blue is calculated).
Fig. 4 is a schematic view illustrating the connection between the wood direction recognition device and an external controller according to the present invention.
Fig. 5 is a schematic view of the wood direction recognition device of the present invention.
Detailed Description
Example 1
A wood block direction recognition device based on a machine vision technology comprises the following specific operation methods:
installing a support and a telescopic support on a wood block conveying field, respectively installing an industrial camera and a light source on the support, then installing a lens on the industrial camera, and adjusting the light source according to the test requirement;
the industrial camera monitors the signal, the industrial camera acquires an image through light source irradiation, and the signal shot by the industrial camera is transmitted to the image processing module;
the image processing module extracts boundary points of pictures sent by the industrial camera;
the gradient direction to billet conveying place boundary point is makeed statistics of, and is divided into n with 360 degrees, and n sets up as required, if: 720, each representing 0.5 degree, counting bits, and counting the bits into corresponding counting bits according to the angle value of each boundary point;
performing appropriate smoothing on the statistical result, wherein a weighted average is adopted, that is, a value of a certain number of degrees (for example, a value within ± 5 degrees) around each statistical bit is averaged to be used as the value of the statistical bit;
selecting a statistical position corresponding to the maximum value, calculating an angle (angle A) corresponding to the statistical position, and adding 90 degrees to the angle A to obtain the direction of the wood block;
and the image processing module calculates the direction of the wood block, and the recognition result is sent to an observer after the calculation is finished.
Example 2
The image acquisition module is located directly over the wood block plane, and the camera can shoot most wood block areas, and adjust light source and lens parameters to enable the wood block boundaries to be clearly seen in the image. An industrial personal computer is additionally connected to the camera and to external automation devices. If shown in fig. 4.
The working process is as follows:
and after the visual industrial personal computer receives the trigger signal, the industrial camera is scheduled to shoot the image.
After the shot image is received, gradient calculation is carried out on the image, a point with a larger gradient value is found out, and the point is used as a boundary point with a larger color change.
And carrying out operations such as statistics, filtering and the like on the directions of the boundary points, ensuring that the statistical value corresponding to points with multiple gradient directions is the largest, and calculating the direction of the wood block according to the vertical relation between the gradient direction and the direction of the wood block.
And changing the direction of the wood blocks into a reasonable value, and sending the value to automatic loading and unloading equipment.
The method is high in calculation speed, the accuracy can be changed according to the visual condition of the wood block, the wood block can be controlled within 5 degrees generally, and the method can completely meet the requirement for identifying whether the wood block is horizontally placed or vertically placed.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. While the invention has been described with respect to the above embodiments, it will be understood by those skilled in the art that the invention is not limited to the above embodiments, which are described in the specification and illustrated only to illustrate the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. A wood block direction recognition device based on a machine vision technology is characterized by comprising an image acquisition module and an image processing module, wherein the image acquisition module is connected with the image processing module, the image acquisition module comprises an industrial camera, a lens and a light source, the lens is installed on the upper side of the industrial camera, the industrial camera is installed on a support, the light source is installed on one side of the industrial camera, and the light source is installed on a lifting support;
the image processing module mainly comprises a visual industrial personal computer and executed algorithm software.
2. The wood block direction recognition apparatus based on machine vision technology as claimed in claim 1, wherein the image processing module is a vision manual mechanism.
3. The wood block direction recognition device based on the machine vision technology as claimed in claim 1, wherein the industrial camera is connected with a computer, and the computer is provided with a signal triggering module.
4. The wood block direction recognition device based on machine vision technology as claimed in claim 1, wherein the light source is an LED light source.
5. A wood block direction recognition device based on a machine vision technology comprises the following specific operation methods:
(1) installing a support and a telescopic support on a wood block conveying field, respectively installing an industrial camera and a light source on the support, then installing a lens on the industrial camera, and adjusting the light source according to the test requirement;
(2) the industrial camera monitors the signal, the industrial camera acquires an image through light source irradiation, and the signal shot by the industrial camera is transmitted to the image processing module;
(3) the image processing module extracts boundary points of pictures sent by the industrial camera;
(5) the gradient direction to billet conveying place boundary point is makeed statistics of, and is divided into n with 360 degrees, and n sets up as required, if: 720, each representing 0.5 degree, counting bits, and counting the bits into corresponding counting bits according to the angle value of each boundary point;
(6) performing appropriate smoothing on the statistical result, wherein a weighted average is adopted, that is, a value of a certain number of degrees (for example, a value within ± 5 degrees) around each statistical bit is averaged to be used as the value of the statistical bit;
(7) selecting a statistical position corresponding to the maximum value, calculating an angle (angle A) corresponding to the statistical position, and adding 90 degrees to the angle A to obtain the direction of the wood block;
(8) and the image processing module calculates the direction of the wood block, and the recognition result is sent to an observer after the calculation is finished. The invention has the beneficial effects that: the invention provides a wood block direction identification device based on a machine vision technology, which not only can be used for identifying the direction of a wood block, but also can be used for identifying similar application scenes such as bricks or other products. The device consists of an image acquisition module and an image processing module. The image acquisition module mainly comprises an industrial camera, a lens and a light source, and the image processing module mainly comprises a visual industrial personal computer and executed algorithm software. The device can complete the calculation of the direction only by acquiring one image.
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| CN202010817014.8A CN112149499A (en) | 2020-08-14 | 2020-08-14 | Wood block direction recognition device based on machine vision technology |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113741285A (en) * | 2021-09-06 | 2021-12-03 | 嘉兴学院 | Pipe posture recognition control device based on machine vision |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113741285A (en) * | 2021-09-06 | 2021-12-03 | 嘉兴学院 | Pipe posture recognition control device based on machine vision |
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