CN211412817U - Ream paper defect detection device based on machine vision - Google Patents
Ream paper defect detection device based on machine vision Download PDFInfo
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- CN211412817U CN211412817U CN201921729366.7U CN201921729366U CN211412817U CN 211412817 U CN211412817 U CN 211412817U CN 201921729366 U CN201921729366 U CN 201921729366U CN 211412817 U CN211412817 U CN 211412817U
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Abstract
The utility model relates to a computer vision identification technology field relates to paper quality detection technology field again, provides a ream paper defect detection device based on machine vision, include: warning light, touch-control display, emergency switch button, framework crossbeam, two sets of minor faces shoot the light filling lamp, two sets of minor faces shoot the industrial camera, two sets of long limits shoot the light filling lamp, two sets of long limits shoot the industrial camera, control mainboard, shoot the sensor module and pick paper sensor module. The utility model discloses an artificial intelligence's image recognition technology can carry out the quality inspection discernment to the order paper on the production water line in real time to reject the order paper of defect, show real-time statistics such as historical data, normal order paper data, rejection order paper data, yields simultaneously, reduced enterprise manufacturing cost, improved production efficiency, use new technology to improve enterprise core competitiveness and production management level.
Description
Technical Field
The utility model relates to a computer vision identification technology field relates to paper quality detection technology field again, relates to a ream paper defect detecting device based on machine vision very much.
Background
The paper industry is an important industry closely related to national economic development and social civilization construction. In the consumption of office paper, the requirements of the market on the quality of paper products and paper are increasingly improved, the labor cost of production is rapidly increased, enterprises face urgent requirements for comprehensively improving core competitiveness, and the enterprises can reduce cost, improve quality and increase benefits only by improving the informatization and intellectualization levels of the enterprises so as to adapt to the modernized market competition.
Ream (real Paper) refers to a certain number of identical sheets, and 500 identical sheets are generally used as a Ream. On office paper, a pack of paper is typically 500 pages as in the conventional a4 printing paper. The reams of paper need to be subjected to quality inspection screening on an automatic production line of a paper mill, and the reams of paper with defects are removed from a production line queue to enter the next packaging process. The tradition is with the manual work to order paper quality testing and screening, need consume fairly big human cost, and production line's order paper transfer rate is very fast simultaneously, and manual observation detects unable accurate judgement, and it is tired easily for a long time, can't make effective statistics to the yields, brings very big inconvenience for production management work, can not satisfy the production management needs of modernization already.
With the development of computer vision recognition, artificial intelligence and industrialization, image recognition technology is more and more applied to an industrial production line to replace the traditional manual operation link, so that the labor cost is reduced, and the production efficiency and the management level are improved. At present, an accurate, quick and long-time working intelligent ream paper defect detection and identification system is urgently needed on a ream paper production line.
Disclosure of Invention
To the problem that exists, the utility model aims to provide a ream paper defect detecting device based on machine vision shoots through fast-speed industrial camera and gathers ream paper image, carries out intellectual detection system discernment to ream paper image by backstage analysis host computer, sends out the instruction to the equipment of picking paper through the control mainboard, picks out the automatic assembly line with the ream paper of defect, and statistical data can show on touch-control display in real time.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
a ream defect detection apparatus based on machine vision, comprising: the system comprises a warning lamp, a touch display, an emergency switch button, a framework beam, two groups of short-edge shooting light supplementing lamps, two groups of short-edge shooting industrial cameras, two groups of long-edge shooting light supplementing lamps, two groups of long-edge shooting industrial cameras, a control main board, a shooting sensor module and a paper removal sensor module;
the warning lamp comprises three colors of red, yellow and green, and when the defective ream paper is detected, the red lamp flickers once and is accompanied by an alarm sound; when the system is in failure or is not on-line, the yellow lamp is normally on; when the on-line works normally, the green light is on;
the framework cross beam comprises two arms, wherein one of the two arms is fixed on the assembly line, and the other arm without the fixing foot posts is fastened on the framework cross beam with the fixing foot posts at the two ends and is arranged in a cross manner;
the touch display can perform human-computer interaction operation through a Graphical User Interface (GUI) of the detection system;
the two groups of short-edge shooting light supplementing lamps comprise a short-edge shooting first light supplementing lamp and a short-edge shooting second light supplementing lamp;
the two groups of short-edge shooting industrial cameras comprise a first short-edge shooting industrial camera and a second short-edge shooting industrial camera;
the two groups of long-edge shooting light supplementing lamps comprise a long-edge shooting first light supplementing lamp and a long-edge shooting second light supplementing lamp;
the two groups of long-edge shooting industrial cameras comprise a long-edge shooting first industrial camera and a long-edge shooting second industrial camera;
the control main board processes feedback information of the shooting and paper removing sensor, synchronously controls the light supplement lamp and the industrial camera to shoot and collect ream images, and makes a production line control instruction for removing defective reams according to feedback information of the background analysis host.
A ream paper defect detection device based on machine vision further comprises the following working procedures:
step1, enabling the reams to enter an automatic assembly line for detection;
step2, triggering a light supplement lamp by a shooting sensor module and shooting by an industrial camera to acquire a ream image;
step3, detecting and identifying whether the ream paper is defective or not by the background analysis host;
step4, controlling the main board to normally transmit the paper in the assembly line if no defect exists according to the analysis feedback information; if the defect exists, recording the detection management system, and triggering a red warning lamp;
step5, after the defective ream passes through the paper rejecting sensor module, the control main board sends an instruction to the paper rejecting device to reject the defective ream out of the automatic production line.
Has the advantages that: the utility model discloses an artificial intelligence's image recognition technology can carry out the quality inspection discernment to the order paper on the production water line in real time to reject the order paper of defect, show real-time statistics such as historical data, normal order paper data, rejection order paper data, yields simultaneously, reduced enterprise manufacturing cost, improved production efficiency, use new technology to improve enterprise core competitiveness and production management level.
Drawings
FIG. 1 is an exploded view of the present invention;
fig. 2 is a schematic perspective view of the present invention;
fig. 3 is a front view of the present invention;
fig. 4 is a top view of the present invention;
fig. 5 is a right side view of the present invention;
FIG. 6 is a flow chart of the present invention;
fig. 7 is a schematic diagram of four common ream defects detected by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of the present invention, and are not intended to limit the embodiments of the present invention. Other embodiments, which can be obtained by a person skilled in the art without inventive work, shall fall within the scope of protection of the present invention.
Referring to fig. 1, for the utility model discloses a structural decomposition schematic diagram, a ream paper defect detecting device based on machine vision includes: warning light 101, touch-control display 102, emergency switch button 103, framework crossbeam 104, two sets of minor faces shoot the light filling lamp, two sets of minor faces shoot the industrial camera, two sets of long limits shoot the light filling lamp, two sets of long limits shoot the industrial camera, control mainboard 111, shoot sensor module 112 and pick paper sensor module 115.
The warning light 101 comprises three colors of red, yellow and green, and when the defective ream paper is detected, the red light flickers once and is accompanied by an alarm sound; when the system is in failure or is not on-line, the yellow lamp is normally on; when the on-line works normally, the green light is on constantly.
The frame beam 104 comprises two frame beams, wherein one frame beam with fixing pillars at two ends is fixed on the assembly line, and the other frame beam without pillars is fastened on the frame beam with fixing pillars at two ends and is installed in a cross manner.
The touch display 102 may perform human-computer interaction operations through a Graphical User Interface (GUI) of the detection system.
The two short-side shooting light supplementing lamps comprise a short-side shooting first light supplementing lamp 105 and a short-side shooting second light supplementing lamp 116.
The two sets of short edge capture industrial cameras include a short edge capture first industrial camera 106 and a short edge capture second industrial camera 117.
Two sets of long limit shoot the light filling lamp and include that long limit shoots first light filling lamp 107 and long limit and shoot second light filling lamp 113.
The two sets of long-edge-capture industrial cameras include a long-edge-capture first industrial camera 108 and a long-edge-capture second industrial camera 114.
The control main board 111 processes feedback information of the shooting sensor module 112 and the paper rejecting sensor module 115, synchronously controls the light supplementing lamp and the industrial camera to shoot and collect ream images, and makes a pipeline rejecting control instruction for defective reams according to feedback information of the background analysis host.
Referring to the exploded view of FIG. 1, the system further includes an automated assembly line 109 and a ream of paper 110, wherein the ream of paper 110 is transported through the automated assembly line 109 to enter a ream defect detection stage; a paper removing device is arranged on the assembly line behind the ream paper defect detection device; the control main board 111 obtains the feedback information of the background analysis host, and after the signal is transmitted from the paper rejecting sensor module, the control main board can send an instruction to the paper rejecting equipment to reject the defective reams out of the automatic assembly line, and the reams which are detected to be qualified are normally transmitted on the automatic assembly line to enter the next packaging process.
Referring to fig. 2, which is a schematic view of the three-dimensional effect of the present invention, the frame beam 104 includes two frames, one of the two frames with fixing pillars at two ends is fixed on the assembly line, and the other frame beam without pillars is fastened to the frame beam with fixing pillars at two ends and installed in a cross manner; a short-edge shooting first supplementary lighting lamp 105 and a short-edge shooting first industrial camera 106 are installed on the fixed foot post at one end, and a short-edge shooting second supplementary lighting lamp 116 and a short-edge shooting second industrial camera 117 are installed on the fixed foot post at the other end; the two ends of the framework beam without the stilts are respectively provided with a long-edge shooting first light supplement lamp 107, a long-edge shooting first industrial camera 108, a long-edge shooting second light supplement lamp 113 and a long-edge shooting second industrial camera 114.
Referring to fig. 3, a front view of the present invention is shown, fig. 4 is a top view of the present invention, and fig. 5 is a right side view of the present invention. The structure and mounting position of each component part can be understood by aid of three views.
Referring to fig. 6, the utility model discloses a work flow chart, a ream paper defect detecting device based on machine vision, include following work flow:
step1, enabling the reams to enter an automatic assembly line for detection;
step2, triggering a light supplement lamp by a shooting sensor module and shooting by an industrial camera to acquire a ream image;
specifically, when the ream is transmitted on the automatic assembly line and enters a detection range, the shooting sensor module is triggered, signals are transmitted to the control main board, the control main board synchronously controls the light supplement lamp and the industrial cameras, 4 industrial cameras shoot and collect ream images at high speed, and the ream images are transmitted to the background analysis host for intelligent detection and identification;
step3, detecting and identifying whether the ream paper is defective or not by the background analysis host;
specifically, the industrial camera acquires an image, the image is preprocessed by a background analysis host and sent to an algorithm processing module in a memory, the algorithm processing module analyzes and processes the ream image, extracts image characteristics, performs positioning detection on the positions of various defects, simultaneously evaluates the category and the severity of the defects, and finally feeds back an identification result obtained by analysis to a control main board;
step4, controlling the main board to normally transmit the paper in the assembly line if no defect exists according to the analysis feedback information; if the defect exists, recording the detection management system, and triggering a red warning lamp;
step5, after the defective ream passes through the paper rejecting sensor module, the control main board sends an instruction to the paper rejecting equipment to reject the defective ream out of the automatic assembly line;
specifically, when the analysis feedback information indicates that the ream of paper is defective, after the ream of paper is transmitted to the detection position of the paper rejecting sensor module, the paper rejecting sensor module is triggered and sends a signal to the control main board, the control main board sends an instruction to the paper rejecting device which is positioned behind the paper rejecting sensor module on the automatic assembly line, and the paper rejecting device can reject the defective ream of paper out of the automatic assembly line.
Referring to fig. 7, it is a schematic diagram of four common ream defects detected by the present invention, including four types of ream defects, such as paper wrinkles, paper bulges, irregularity, and stains.
The utility model discloses an artificial intelligence's image recognition technology can carry out the quality inspection discernment to the order paper on the production water line in real time to reject the order paper of defect, show real-time statistics such as historical data, normal order paper data, rejection order paper data, yields simultaneously, reduced enterprise manufacturing cost, improved production efficiency, use new technology to improve enterprise core competitiveness and production management level. Additionally, the utility model discloses the structure is not complicated, and installation engineering is simple, replaces artifical the detection, and the cost is lower, and the practicality is strong, can bring efficient intelligent recognition and reject defect order paper fast on order paper production line.
The above description is for the purpose of illustration, and it is intended to cover by those skilled in the art all such modifications, equivalents, and alternatives as may be included within the spirit and scope of the invention as defined by the appended claims.
Claims (1)
1. A ream flaw detector device based on machine vision, comprising: the system comprises a warning lamp, a touch display, an emergency switch button, a framework beam, two groups of short-edge shooting light supplementing lamps, two groups of short-edge shooting industrial cameras, two groups of long-edge shooting light supplementing lamps, two groups of long-edge shooting industrial cameras, a control main board, a shooting sensor module and a paper removal sensor module;
the warning lamp comprises a red lamp, a yellow lamp and a green lamp, and when the defective ream paper is detected, the red lamp flickers once and an alarm sound is accompanied; when the system is in failure or is not on-line, the yellow lamp is normally on; when the on-line works normally, the green light is on;
the framework cross beam comprises two arms, wherein one of the two arms is fixed on the assembly line, and the other arm without the fixing foot posts is fastened on the framework cross beam with the fixing foot posts at the two ends and is arranged in a cross manner;
the touch display can perform human-computer interaction operation through a graphical user interface of the detection system;
the two groups of short-edge shooting light supplementing lamps comprise a short-edge shooting first light supplementing lamp and a short-edge shooting second light supplementing lamp;
the two groups of short-edge shooting industrial cameras comprise a short-edge shooting first industrial camera and a short-edge shooting second industrial camera;
the two groups of long-edge shooting light supplementing lamps comprise a long-edge shooting first light supplementing lamp and a long-edge shooting second light supplementing lamp;
the two groups of long-edge shooting industrial cameras comprise a long-edge shooting first industrial camera and a long-edge shooting second industrial camera;
the control mainboard processes the feedback information of the shooting and paper removing sensor module, synchronously controls the light supplement lamp and the industrial camera to shoot and collect ream images, and makes a production line control instruction for removing defective reams according to the feedback information of the background analysis host.
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| CN201921729366.7U CN211412817U (en) | 2019-10-14 | 2019-10-14 | Ream paper defect detection device based on machine vision |
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| CN201921729366.7U CN211412817U (en) | 2019-10-14 | 2019-10-14 | Ream paper defect detection device based on machine vision |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114047125A (en) * | 2021-10-29 | 2022-02-15 | 中山品高电子材料有限公司 | Real-time high-speed 3D appearance image detection system for lead frame and working method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114047125A (en) * | 2021-10-29 | 2022-02-15 | 中山品高电子材料有限公司 | Real-time high-speed 3D appearance image detection system for lead frame and working method thereof |
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Address after: 510670 17 / F, building 3, Yunsheng Science Park, No. 11, puyuzhong Road, Huangpu District, Guangzhou City, Guangdong Province Patentee after: GUANGZHOU MELUX INFORMATION TECHNOLOGY Co.,Ltd. Address before: 510670 5th floor, building 5, No.8, science Avenue, Science City, Guangzhou high tech Industrial Development Zone, Guangzhou City, Guangdong Province Patentee before: GUANGZHOU MELUX INFORMATION TECHNOLOGY Co.,Ltd. |
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