CN112629477A - Novel gauze plane bag detection and rejection counting control algorithm - Google Patents
Novel gauze plane bag detection and rejection counting control algorithm Download PDFInfo
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- CN112629477A CN112629477A CN202011464799.1A CN202011464799A CN112629477A CN 112629477 A CN112629477 A CN 112629477A CN 202011464799 A CN202011464799 A CN 202011464799A CN 112629477 A CN112629477 A CN 112629477A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/30—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring roughness or irregularity of surfaces
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Abstract
The invention discloses a novel gauze plane bag detection, rejection and counting control algorithm, which comprises a control program main body framework programmed by C # language, a visual detection control system and a motion control system; the control program compiled by C # language interacts with a motion control board card and an IO board card through Ethernet, wherein the motion control board card is used for connecting a driver to further control the running of a motor so as to move a belt; the IO control card is used for connecting an electromagnetic valve of the rejecting device; the control program indirectly controls the opening, closing and blowing of the cylinder of the removing device by outputting 24v/0v voltage to the electromagnetic valve through the Ethernet control IO control card; through the design of the invention, in the detection of the gauze flat bread, the main body framework of the control program is programmed through the C # language, and the visual detection control system and the motion control system are integrated, so that whether the gauze flat bread product is qualified or not can be automatically judged, and compared with a manual detection mode, the working efficiency and the detection accuracy are greatly improved.
Description
Technical Field
The invention belongs to the technical field of control algorithms, and particularly relates to a novel gauze plane bag detection, rejection and counting control algorithm.
Background
The existing detection of the gauze flat bread can only be manually detected and counted, so that the practical application has great limitation, the working efficiency is low, and the automation degree is to be improved.
Disclosure of Invention
The invention aims to provide a novel gauze plane bag detection, rejection and counting control algorithm to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a novel gauze plane bag detection, rejection and counting control algorithm comprises a control program main body framework programmed by C # language, and a visual detection control system and a motion control system are integrated;
the control program compiled by C # language interacts with a motion control board card and an IO board card through Ethernet, wherein the motion control board card is used for connecting a driver to further control the running of a motor so as to move a belt; the IO control card is used for connecting an electromagnetic valve of the rejecting device;
the control program indirectly controls the opening, closing and blowing of the cylinder of the removing device by outputting 24v/0v voltage to the electromagnetic valve through the Ethernet control IO control card;
the control program is connected with the visual inspection control system through the Ethernet, and the control program carries out image processing and result judgment on the received photos through an OpenCV and AI deep learning algorithm.
Preferably, the visual inspection control system consists of a camera, a light source, an optical fiber sensor and a built-in encoder of a driver.
Preferably, the AI deep learning algorithm is to establish a data model of the product through AIDI software, and is used for calling the data model of the product in a control program to process and judge an image of the current product, so as to give a result of whether the product is a good product or not.
Preferably, the counting system further comprises a clearing system, and the clearing system is used for automatically clearing the box quantity and restarting counting when the box quantity reaches the quantity set by the system.
Preferably, a repeater is installed on the ethernet, and the repeater can increase the signal in the transmission process, so that the signal reception is more stable and faster.
Preferably, the camera in the visual inspection control system is connected with the control program through an ethernet network.
Compared with the prior art, the invention has the beneficial effects that:
through the design of the invention, in the detection of the gauze flat bread, the main body framework of the control program is programmed through the C # language, and the visual detection control system and the motion control system are integrated, so that whether the gauze flat bread product is qualified or not can be automatically judged, and compared with a manual detection mode, the working efficiency and the detection accuracy are greatly improved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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 technical scheme that: a novel gauze flat bread detection rejection counting control algorithm comprises a C # language programming control program main body framework, a visual detection control system and a motion control system are integrated, in the detection of gauze flat bread, the C # language programming control program main body framework is integrated with the visual detection control system and the motion control system, whether gauze flat bread products are qualified or not can be automatically judged, and compared with a manual detection mode, the working efficiency and the detection accuracy are greatly improved;
the control program compiled by C # language interacts with a motion control board card and an IO board card through Ethernet, wherein the motion control board card is used for connecting a driver to further control the running of a motor so as to move a belt; the IO control card is used for connecting an electromagnetic valve of the rejecting device;
the control program indirectly controls the opening, closing and blowing of the cylinder of the removing device by outputting 24v/0v voltage to the electromagnetic valve through the Ethernet control IO control card;
the control program is connected with the visual inspection control system through the Ethernet, and the control program carries out image processing and result judgment on the received photos through an OpenCV and AI deep learning algorithm.
In this embodiment, preferably, the visual inspection control system is composed of a camera, a light source, an optical fiber sensor, and a driver built-in encoder.
In this embodiment, preferably, the AI deep learning algorithm is to establish a data model of a product through aid ii software, and is used to call the data model of the product in a control program to process and judge an image of a current product, so as to give a result of whether the product is a good product.
In this embodiment, it is preferable that the system further includes a zero clearing system configured to automatically clear the number of boxes and restart counting when the number of boxes reaches the number set by the system.
In this embodiment, preferably, a repeater is installed on the ethernet, and the repeater can increase a signal in a transmission process, so that signal reception is more stable and faster.
In this embodiment, preferably, the camera in the visual inspection control system is connected to the control program through an ethernet.
In the invention, the visual inspection control system is far away from the condition that a light source provides good illumination, the optical fiber sensor senses that a product is in place and then sends a trigger signal to the camera, the camera scans and takes a picture according to pulses sent by a built-in encoder of a driver after receiving a photographing signal to obtain a picture of the product, the picture is transmitted to a control program through Ethernet, image processing and analysis are carried out in the control program through an AI deep learning algorithm, and whether the product is qualified or not is judged;
in actual application, a gauze flat pack is conveyed by a belt to enter a camera photographing area, a photographing system is triggered by sensing the flat pack through an optical fiber device, the camera scans out a flat pack image according to a pulse signal of a built-in encoder of a servo motor driver and transmits the image back to a system control program, the program judges whether the gauze flat pack is qualified or not through an AI deep learning algorithm, and unqualified products are removed through the program in a mode that an IO board card controls an air cylinder of a removing device to open and blow air; qualified products will not be rejected and continue to flow to the back-end belt. Counting the total number, OK number, NG number and box number of the gauze plane bags, and when the product is judged to be OK, respectively adding 1 to the total number, OK number and box number, respectively adding 1 to the total number and NG number when NG; when the number of the boxed materials reaches the number set by the system, the number of the boxed materials is automatically reset and starts counting again, and the rear belt accelerates for a certain time to be separated from the next incoming material, so that the manual boxing and counting are facilitated.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A novel gauze plane package detection and rejection counting control algorithm is characterized in that: the method comprises the steps of programming a control program main body framework through a C # language, and integrating a visual detection control system and a motion control system;
the control program compiled by C # language interacts with a motion control board card and an IO board card through Ethernet, wherein the motion control board card is used for connecting a driver to further control the running of a motor so as to move a belt; the IO control card is used for connecting an electromagnetic valve of the rejecting device;
the control program indirectly controls the opening, closing and blowing of the cylinder of the removing device by outputting 24v/0v voltage to the electromagnetic valve through the Ethernet control IO control card;
the control program is connected with the visual inspection control system through the Ethernet, and the control program carries out image processing and result judgment on the received photos through an OpenCV and AI deep learning algorithm.
2. The novel gauze flat bag detection and rejection counting control algorithm according to claim 1, characterized in that: the visual detection control system consists of a camera, a light source, an optical fiber sensor and a built-in encoder of a driver.
3. The novel gauze flat bag detection and rejection counting control algorithm according to claim 1, characterized in that: the AI deep learning algorithm is used for establishing a data model of a product through AIDI software, and is used for calling the data model of the product in a control program to process and judge an image of the current product so as to give a result of judging whether the product is a good product or not.
4. The novel gauze flat bag detection and rejection counting control algorithm according to claim 1, characterized in that: the system also comprises a zero clearing system which is used for automatically clearing the box quantity and restarting the counting when the box quantity reaches the quantity set by the system.
5. The novel gauze flat bag detection and rejection counting control algorithm according to claim 1, characterized in that: the Ethernet is provided with the repeater, and the repeater can increase signals in the transmission process, so that the signals are received more stably and quickly.
6. The novel gauze flat bag detection and rejection counting control algorithm according to claim 2, characterized in that: and the camera in the visual inspection control system is connected with the control program through the Ethernet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011464799.1A CN112629477A (en) | 2020-12-12 | 2020-12-12 | Novel gauze plane bag detection and rejection counting control algorithm |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011464799.1A CN112629477A (en) | 2020-12-12 | 2020-12-12 | Novel gauze plane bag detection and rejection counting control algorithm |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000105703A (en) * | 1998-07-27 | 2000-04-11 | Ricoh Co Ltd | Image forming device |
| JP2001326766A (en) * | 2000-05-16 | 2001-11-22 | Canon Inc | Image processing system, image data processing method and storage medium |
| CN202284949U (en) * | 2011-09-30 | 2012-06-27 | 广东工业大学 | On-line detection system of minitype sound film concentricity based on machine vision |
| CN106000912A (en) * | 2016-05-18 | 2016-10-12 | 湖北工业大学 | Citrus cyst foreign matter removing system based on machine vision guidance |
| CN108062750A (en) * | 2017-12-14 | 2018-05-22 | 安徽天俣科技有限公司 | A kind of intelligence machine vision ore particles detecting system |
| CN108362705A (en) * | 2018-02-05 | 2018-08-03 | 中达电通股份有限公司 | A kind of toothbrush bristle quantity detection means and its detection method |
-
2020
- 2020-12-12 CN CN202011464799.1A patent/CN112629477A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000105703A (en) * | 1998-07-27 | 2000-04-11 | Ricoh Co Ltd | Image forming device |
| JP2001326766A (en) * | 2000-05-16 | 2001-11-22 | Canon Inc | Image processing system, image data processing method and storage medium |
| CN202284949U (en) * | 2011-09-30 | 2012-06-27 | 广东工业大学 | On-line detection system of minitype sound film concentricity based on machine vision |
| CN106000912A (en) * | 2016-05-18 | 2016-10-12 | 湖北工业大学 | Citrus cyst foreign matter removing system based on machine vision guidance |
| CN108062750A (en) * | 2017-12-14 | 2018-05-22 | 安徽天俣科技有限公司 | A kind of intelligence machine vision ore particles detecting system |
| CN108362705A (en) * | 2018-02-05 | 2018-08-03 | 中达电通股份有限公司 | A kind of toothbrush bristle quantity detection means and its detection method |
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Application publication date: 20210409 |