CN213633222U - Automobile part surface defect detection structure based on machine vision - Google Patents
Automobile part surface defect detection structure based on machine vision Download PDFInfo
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- CN213633222U CN213633222U CN202022956484.0U CN202022956484U CN213633222U CN 213633222 U CN213633222 U CN 213633222U CN 202022956484 U CN202022956484 U CN 202022956484U CN 213633222 U CN213633222 U CN 213633222U
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Abstract
The utility model relates to an automobile inspection specifically is an automobile type spare part surface defect detects structure based on machine vision, including detecting the support, the right side that detects the support is provided with the track support, be provided with the track on the track support, the inside of track is provided with the motor, and the limiting plate that is located the track upside that is provided with of symmetry around the left side of detecting the support, the upper end left part that detects the support is provided with CCD camera and laser emitter, is provided with optical line sensor on the track support, and the upper end that detects the support still is provided with the light filling lamp, and the front side that detects the support is provided with processing system. The structure of the device is arranged, so that the problem that the surface detection of the automobile often depends on manual work can be solved, and the defects of surface cracks, sections and the like of parts can be well recognized. Meanwhile, automatic camera calibration and data processing are realized, the problems of current data analysis delay and camera manual calibration are solved, and the detection speed and efficiency can be improved while the detection precision is ensured.
Description
Technical Field
The utility model relates to an automobile inspection specifically is an automobile class spare part surface defect detects structure based on machine vision.
Background
In recent years, with the rapid development of electronic technology and computer technology, the software and hardware technology of machine vision is also rapidly developed, and an optimal scheme is provided for online detection of surface defects of products. The use of "machines" to replace the human eye for surface defect detection has become an important trend in the development of modern industry. The detection of the surface defects of the product by using machine vision has a plurality of advantages in terms of technical performance and technical indexes. Firstly, machine vision is a non-contact and non-destructive test, which is safe and reliable. Secondly, if the indexes of the camera are used for analyzing human eyes, the machine vision can replace the human eyes and surpass the human eyes, and the detection with more powerful functions and high efficiency is realized.
The existing CCD camera can achieve higher resolution ratio through a multi-chip splicing technology, and the response speed of an imaging device greatly exceeds the limit of human eyes. At present, the machine vision technology is relatively mature in foreign research and application and widely applied to various fields such as measurement, navigation, identification, detection and the like. Although the application of machine vision is also provided in China, the machine vision is often applied to occasions of low-speed and small systems such as traffic monitoring, character recognition, product sorting and the like.
The existing machine vision part detection mainly adopts binocular vision detection, the binocular vision detection can improve the accuracy through image comparison, and has more outstanding precision performance in low speed and small occasions, but for large-scale operation assembly line work, the binocular vision detection is lower in detection rate due to the fact that two or more cameras are needed, and the actual requirements of large-scale operation are difficult to meet. The monocular vision detection saves the image comparison time, and has higher efficiency and economic benefit in medium-high speed and large-scale detection.
Line structure light can realize accurate, quick 3D measurement and data acquisition, uses the object extensively, no matter be reflection of light metalwork, black cast member or high temperature forging, line structure light scanning all can accomplish established requirement to do not influenced by ambient light. However, the line structured light has a high requirement for accurate calibration of the CCD camera, and when the camera calibration has a deviation, the line structured light scanning may cause a scanning result to have a structural deviation, thereby affecting actual judgment.
Disclosure of Invention
An object of the utility model is to provide an automobile class spare part surface defect detects structure based on machine vision to solve the problem that proposes among the above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme:
the utility model provides an automobile type spare part surface defect detects structure based on machine vision, is including detecting the support, the right side that detects the support is provided with track support, the last track that is provided with of track support, the inside of track is provided with the motor, and the left side front and back symmetry of detecting the support is provided with the limiting plate that is located the track upside, and the upper end left part that detects the support is provided with CCD camera and laser emitter, is provided with optical line sensor on the track support, and the upper end that detects the support still is provided with the light filling lamp, and the front side that detects the support is provided with processing system, and the right-hand member of track is provided with.
As a further aspect of the present invention: the processing system is provided with a display screen, an operation panel and an interface.
Compared with the prior art, the beneficial effects of the utility model are that: the structure of the device is arranged, so that the problem that the surface detection of the automobile often depends on manual work can be solved, and the defects of surface cracks, sections and the like of parts can be well recognized. Meanwhile, camera calibration and data processing are realized, and the problems of current data analysis delay and camera manual calibration are improved. Meanwhile, the detection speed and efficiency can be improved while the detection precision is ensured.
Drawings
Fig. 1 is a schematic structural diagram of the device.
Fig. 2 is a schematic structural view of the device in another direction.
1-a CCD camera; 2-a laser transmitter; 3, a limiting plate; 4, a crawler belt; 5, displaying screen; 6-an operation panel; 7-interface; 8-a processing system; 9-a light sensor; 10-a discharging table; 11-a detection support; 12-a fill light; 13-motor.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present invention, and should not be construed as limiting the present invention.
The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. In order to simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
Please refer to fig. 1 and 2, in an embodiment of the present invention, an automobile part surface defect detecting structure based on machine vision includes a detecting bracket 11, the right side of the detecting bracket 11 is provided with a track support, the track support is provided with a track 4, the inside of the track 4 is provided with a motor 13, the left side of the detecting bracket 11 is symmetrically provided with a limiting plate 3 located on the upper side of the track 4, the upper left part of the detecting bracket 11 is provided with a CCD camera 1 and a laser emitter 2, the track support is provided with a light sensor 9, the upper end of the detecting bracket 11 is further provided with a light supplement lamp 12, the front side of the detecting bracket 11 is provided with a processing system 8, and the right end of the track 4 is provided with a discharging table 10.
The processing system 8 is provided with a display screen 5, an operation panel 6 and an interface 7.
The workpiece to be detected is transmitted through the crawler 4, the workpiece passes through a detection area determined by the line structured light after the detection position is corrected through the limiting ports between the limiting plates 3, and finally the workpiece exits from the detection workbench.
Wherein various elements of the detection device are mainly fixed by the detection bracket 11. After the user turns on the detection power, the laser emitter 2 on the detection bracket 11 emits the light of the emission line structure to the detection area. The light sensor 9 integrated in the detection area will capture the line structured light and control the laser emitter 2 to adjust to the appropriate position by the processing system 8 when the line structured light position deviates. When the calibration of the light position of the line structure is completed, the CCD camera 1 on the detection bracket 11 will automatically perform camera calibration, and transmit the information points on the image to the processing system 8, and display the information points on the display screen 5 after data processing. The user may retrieve the data through an interface 7 integrated in the processing system 8.
After the preparation is completed, the crawler 4 is operated and the conveyance of the workpiece to be measured is started. When the workpiece is inspected, the processing system 8 reads the frame-by-frame pictures transmitted by the CCD camera 2 and begins to analyze the surface of the part. When the surface of the part has major defects such as cracks, sections and the like, the processing system 8 carries out specific part numbers, positions and defect reasons on the display screen 5.
In order to facilitate expansion in conventional use, the structure can adapt to the requirement of the size of each part, and the height of the limiting hole and the height of the detection device can be adjusted and fixed.
The structure of the device is arranged, so that the problem that the surface detection of the automobile often depends on manual work can be solved, and the defects of surface cracks, sections and the like of parts can be well recognized. Meanwhile, camera calibration and data processing are realized, and the problems of current data analysis delay and camera manual calibration are improved. Meanwhile, the detection speed and efficiency can be improved while the detection precision is ensured.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (2)
1. The utility model provides an automobile type spare part surface defect detects structure based on machine vision, is including detecting support (11), its characterized in that, the right side that detects support (11) is provided with track support, be provided with track (4) on the track support, the inside of track (4) is provided with motor (13), and the left side front and back symmetry that detects support (11) is provided with limiting plate (3) that are located track (4) upside, and the upper end left part that detects support (11) is provided with CCD camera (1) and laser emitter (2), is provided with light sensor (9) on the track support, and the upper end that detects support (11) still is provided with light filling lamp (12), and the front side that detects support (11) is provided with processing system (8), and the right-hand member of track (4) is provided with out feed table (10).
2. The structure for detecting surface defects of automobile parts based on machine vision according to claim 1, characterized in that a display screen (5), an operation panel (6) and an interface (7) are arranged on the processing system (8).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022956484.0U CN213633222U (en) | 2020-12-11 | 2020-12-11 | Automobile part surface defect detection structure based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022956484.0U CN213633222U (en) | 2020-12-11 | 2020-12-11 | Automobile part surface defect detection structure based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213633222U true CN213633222U (en) | 2021-07-06 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022956484.0U Expired - Fee Related CN213633222U (en) | 2020-12-11 | 2020-12-11 | Automobile part surface defect detection structure based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213633222U (en) |
-
2020
- 2020-12-11 CN CN202022956484.0U patent/CN213633222U/en not_active Expired - Fee Related
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| Date | Code | Title | Description |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210706 Termination date: 20211211 |