CN112687142A - Learning platform based on machine vision - Google Patents
Learning platform based on machine vision Download PDFInfo
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- CN112687142A CN112687142A CN202010814939.7A CN202010814939A CN112687142A CN 112687142 A CN112687142 A CN 112687142A CN 202010814939 A CN202010814939 A CN 202010814939A CN 112687142 A CN112687142 A CN 112687142A
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Abstract
The invention discloses a learning platform based on machine vision, which belongs to the technical field of vision systems and comprises a measuring platform, a lifting mechanism and a movable frame, wherein a supporting rod is inserted into the top of the measuring platform, the lifting mechanism is inserted into the top of the supporting rod, the right side wall of the lifting mechanism is connected with the movable frame in a sliding manner, and a circular groove is integrally formed and connected with the top of the measuring platform; skillfully mastering the application of a positioning tool, a spot detection tool and a measurement and identification tool; the device can independently complete the measurement, detection, guidance, identification and the like of machine vision; and the time is flexible, the cost is low, and the learning is efficient.
Description
Technical Field
The invention relates to the technical field of vision systems, in particular to a learning platform based on machine vision.
Background
The machine vision uses a machine to replace human eyes for measurement and judgment, and is a technology for applying image processing to the field of industrial automation to perform non-contact detection and measurement, improve processing precision, find product defects and perform automatic analysis and decision.
Compared with manual visual inspection, the machine visual inspection has the advantages of high efficiency, high precision, stable and reliable detection effect, convenience in information integration and the like.
With the development of manufacturing industry, factories are increasingly converted from a traditional mode to an automatic control mode, the application of machine vision is more and more important, manpower and material resources are saved for enterprises by replacing manpower, higher efficiency is obtained, and more benefits are obtained. The demand of the automatic factory for machine vision is more and more vigorous, the vision gap between the automatic factory and the human talents is very large, and the machine vision is developed in a blowout manner at present, and rapidly permeates into a plurality of new fields, such as the strictly-controlled health and consumer goods industry, and the new fields of packaging, post, retail and the like which are mainly used for reading bar codes and classifying packages.
At present, visual talents are deficient, the cost of learning a visual technology is high, an actual operation way is lacked, and machine vision learning cannot be systematically learned and practiced aiming at non-contact detection, measurement, product defect detection and the like.
Disclosure of Invention
The invention aims to provide a learning platform based on machine vision, which aims to solve the problems that the vision talents proposed in the background technology are deficient, the cost of the learning vision technology is high, an actual operation way is lacked, and the machine vision learning cannot carry out systematic learning and practice aiming at non-contact detection, measurement, product defect detection and the like.
In order to achieve the purpose, the invention provides the following technical scheme: a learning platform based on machine vision comprises a measuring platform, a lifting mechanism and a movable frame, wherein a supporting rod is inserted into the top of the measuring platform, the lifting mechanism is inserted into the top of the supporting rod, the right side wall of the lifting mechanism is connected with the movable frame in a sliding mode, a circular groove is integrally formed and connected with the top of the measuring platform, a rotating platform is contacted with the inside of the circular groove, a checkerboard calibration plate is placed on the top of the rotating platform, a main adjusting bolt is connected onto the left side wall of the lifting mechanism in a threaded mode, an inner groove is formed in the inner side of the lifting mechanism, a movable frame sliding block is bonded onto the side wall of the movable frame, the movable frame sliding block is connected with the inner groove in a sliding mode, a connecting rod is bonded onto the right side wall of the movable frame, the right side wall of the connecting rod is fixedly connected with a camera clamping mechanism through a screw, and a camera, the bottom threaded connection of camera has the camera lens, the top of camera is pegged graft and is had net twine and camera adapter line, the electrical output end electric connection of net twine has the computer, the inside of computer contains vision software and course.
Preferably, a base plate is bonded to the bottom of the measuring platform, and the angle between the measuring platform and the supporting rod is vertical.
Preferably, the right side wall of the camera clamping mechanism is in threaded connection with a secondary adjusting bolt.
Preferably, the vision software includes vision lessons, machine vision profiles, MVP vision platforms, other vision platforms, and robotic vision complex applications.
Preferably, when the visual software operates, the software authority needs to be acquired through an encryptor.
Compared with the prior art, the invention has the beneficial effects that: the learning platform based on the machine vision can understand the basic concept, the imaging principle and the application range of a camera through the combined application of accessories, master the classification and type selection knowledge of the camera, a lens and a light source, formulate a lighting scheme according to different working conditions, and be familiar with the operation and use of machine vision processing software and an image acquisition and configuration method; skillfully mastering the application of a positioning tool, a spot detection tool and a measurement and identification tool; the device can independently complete the measurement, detection, guidance, identification and the like of machine vision; and the time is flexible, the cost is low, and the learning is efficient.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic view of a camera clamping mechanism according to the present invention.
In the figure: 100 measuring platform, 110 rotating platform, 120 checkerboard calibration plate, 130 supporting rod, 200 lifting mechanism, 210 main adjusting bolt, 300 movable frame, 310 movable frame sliding block, 320 connecting rod, 330 camera clamping mechanism, 331 auxiliary adjusting bolt, 340 camera, 341 net wire, 342 camera adapter wire, 350 lens.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a learning platform based on machine vision, which is convenient for high-efficiency learning and low in cost by combining and applying accessories, and please refer to fig. 1-2, wherein the learning platform comprises a measuring platform 100, a lifting mechanism 200 and a movable frame 300;
referring to fig. 1 again, the top of the measuring platform 100 is provided with a rotating platform 110, specifically, the top of the measuring platform 100 is integrally connected with a circular groove, the rotating platform 110 is in contact with the inside of the circular groove, a checkerboard calibration plate 120 is placed on the top of the rotating platform 110, and a support rod 130 is inserted into the top of the measuring platform 100;
referring to fig. 1-2 again, the lifting mechanism 200 is connected to the supporting rod 130, specifically, the lifting mechanism 200 is inserted into the top of the supporting rod 130, the left sidewall of the lifting mechanism 200 is connected to the main adjusting bolt 210 by screw threads, and the inner side of the lifting mechanism 200 is provided with an inner groove;
referring to fig. 1-2 again, the movable frame 300 is connected to the lifting mechanism 200, specifically, the right side wall of the lifting mechanism 200 is slidably connected to the movable frame 300, the side wall of the movable frame 300 is bonded to a movable frame slider 310, the movable frame slider 310 is slidably connected to the inner groove, the right side wall of the movable frame 300 is bonded to a connecting rod 320, the right side wall of the connecting rod 320 is fixedly connected to a camera clamping mechanism 330 through a screw, a camera 340 is clamped inside the camera clamping mechanism 330, the bottom of the camera 340 is in threaded connection with a lens 350, the top of the camera 340 is inserted to a network 341 and a camera adapter line 342, the electrical output end of the network 341 is electrically connected to a computer, and the computer contains visual software and courses, wherein the courses include machine visual cognition training practice; image acquisition experiment of machine vision; positioning and quantity searching application of I-shaped nail products; a clip count statistics and defect detection application; dynamic code reading applications, including different types of bar codes and two-dimensional codes; positioning, splicing and color detection of the tangram; measuring the size of the laser-cut metal plate and detecting whether the machined hole exists or not; different protocol communication between the vision and the third-party equipment; controlling the virtual robot to perform actions through visual guidance;
in specific use, the lifting mechanism 200 is first connected to the measuring platform 100 through the support rod 130, the lifting mechanism 200 is provided with a main adjusting bolt 210, the side of the lifting mechanism 200 is combined with a movable frame 300, the side of the movable frame 300 is combined with a connecting rod 320 carrying a camera clamping mechanism 330, the movable frame 300 can be matched with a movable frame sliding block 310 to slide on the inner side of the lifting mechanism 200, so as to ensure the flexibility, the camera 340 carrying the lens 350 is clamped inside the camera clamping mechanism 330, the top of the camera 340 is electrically connected with the network cable 341 and the camera adapter cable 342, which is convenient for connecting a computer and debugging through visual software, when the vision software is used, the software authority is acquired through the encryptor, and after the camera is debugged, the machine vision application can be learned through an application sample such as a tangram sample, and the random data provided by the learning data disk and the matched online courses can be used for learning.
Referring to fig. 1 again, in order to ensure the image obtaining stability, specifically, a pad is bonded to the bottom of the measuring platform 100, and the angle between the measuring platform 100 and the supporting rod 130 is perpendicular.
Referring to fig. 1-2 again, to facilitate the adjustment, specifically, the right side wall of the camera clamping mechanism 330 is threaded with a secondary adjusting bolt 331.
Referring again to fig. 1, to facilitate learning, in particular, the vision software includes visual lessons, machine vision profiles, MVP vision platforms, other vision platforms, and robotic vision integration applications, the machine vision profiles including machine vision profiles; the rationale and element of imaging; introduction and model selection of industrial cameras; introduction and model selection of industrial lenses; selecting and using an industrial light source; introduction of other machine vision accessories and introduction of common machine vision software in the market, MVP vision platform: the method comprises the steps of MVP software basic introduction; collecting an image; a template matching tool, a template comparison tool and a spot detection tool; finding edges and rounding measurement tools; checkerboard calibration/N point calibration; identifying a class tool; an image processing-like tool; a logical class tool; communication, integrated case: reading code actual combat, location actual combat, measurement actual combat, defect detection actual combat, other visual platforms include the connection of camera and get looks setting, image processing analysis class instrument use, communication configuration, program operation interface configuration robot vision integrated application: the robot and visual communication, guiding and positioning and visual and PLC communication are included.
Referring to fig. 1 again, in order to ensure certain security, in particular, when the vision software operates, the software authority needs to be obtained through the encryptor.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the embodiments disclosed herein may be used in any combination, provided that there is no structural conflict, and the combinations are not exhaustively described in this specification merely for the sake of brevity and conservation of resources. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (5)
1. A learning platform based on machine vision is characterized in that: comprises a measuring platform (100), an elevating mechanism (200) and a movable frame (300), wherein a supporting rod (130) is inserted into the top of the measuring platform (100), the top of the supporting rod (130) is inserted into the elevating mechanism (200), the right side wall of the elevating mechanism (200) is in sliding connection with the movable frame (300), the top of the measuring platform (100) is integrally formed and connected with a circular groove, the inside of the circular groove is contacted with a rotary platform (110), a chessboard grid marking plate (120) is placed at the top of the rotary platform (110), the left side wall of the elevating mechanism (200) is in threaded connection with a main adjusting bolt (210), the inner groove is formed in the inner side of the elevating mechanism (200), a movable frame sliding block (310) is bonded on the side wall of the movable frame (300), the movable frame sliding block (310) is in sliding connection with the inner groove, and a connecting rod (320) is bonded on the right side wall of the movable frame (300), the right side wall of connecting rod (320) passes through screw fixedly connected with camera fixture (330), the inside clamp form of camera fixture (330) has camera (340), the bottom threaded connection of camera (340) has camera lens (350), the top of camera (340) is pegged graft and is had net twine (341) and camera adapter line (342), the electrical output end electric connection of net twine (341) has the computer, the inside of computer contains vision software and course.
2. The machine-vision-based learning platform of claim 1, wherein: the bottom of the measuring platform (100) is bonded with a backing plate, and the angle between the measuring platform (100) and the supporting rod (130) is vertical.
3. The machine-vision-based learning platform of claim 2, wherein: the right side wall of the camera clamping mechanism (330) is in threaded connection with an auxiliary adjusting bolt (331).
4. A machine vision based learning platform according to claim 3, characterized by: the vision software includes vision courses, machine vision profiles, MVP vision platforms, other vision platforms, and robotic vision integration applications.
5. The machine-vision-based learning platform of claim 4, wherein: when the visual software operates, the software authority is required to be obtained through the encryptor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010814939.7A CN112687142A (en) | 2020-08-13 | 2020-08-13 | Learning platform based on machine vision |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010814939.7A CN112687142A (en) | 2020-08-13 | 2020-08-13 | Learning platform based on machine vision |
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| CN112687142A true CN112687142A (en) | 2021-04-20 |
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| CN202010814939.7A Pending CN112687142A (en) | 2020-08-13 | 2020-08-13 | Learning platform based on machine vision |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174368A (en) * | 2007-09-30 | 2008-05-07 | 西安交通大学 | Machine vision teaching innovation experiment platform |
| CN105338322A (en) * | 2015-11-19 | 2016-02-17 | 无锡港湾网络科技有限公司 | Machine vision experimental platform and application thereof |
| CN110879137A (en) * | 2019-12-13 | 2020-03-13 | 深圳市视清科技有限公司 | Machine vision experiment platform for FA lens performance verification |
-
2020
- 2020-08-13 CN CN202010814939.7A patent/CN112687142A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174368A (en) * | 2007-09-30 | 2008-05-07 | 西安交通大学 | Machine vision teaching innovation experiment platform |
| CN105338322A (en) * | 2015-11-19 | 2016-02-17 | 无锡港湾网络科技有限公司 | Machine vision experimental platform and application thereof |
| CN110879137A (en) * | 2019-12-13 | 2020-03-13 | 深圳市视清科技有限公司 | Machine vision experiment platform for FA lens performance verification |
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Application publication date: 20210420 |
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