CN201512707U - Printing error detection device based on intelligent camera - Google Patents
Printing error detection device based on intelligent camera Download PDFInfo
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- CN201512707U CN201512707U CN200920306425XU CN200920306425U CN201512707U CN 201512707 U CN201512707 U CN 201512707U CN 200920306425X U CN200920306425X U CN 200920306425XU CN 200920306425 U CN200920306425 U CN 200920306425U CN 201512707 U CN201512707 U CN 201512707U
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Abstract
The utility model discloses a printing error detection device based on an intelligent camera, which comprises an intelligent camera and a light source. The intelligent camera is connected with an encoder and is used for online image acquisition and writing of image processing algorithms, so as to realize the segmentation of chromatic zones of acquired printing patterns, calculate the center coordinates of the segmented chromatic zones, compare the calculated center coordinates and the standard center coordinates to obtain the deviation error, and convert the deviation error into the corresponding implementation volume. The output port transmits the implementation volume to an implementation mechanism. The light source adopts a front light radiation mode, thereby ensuring the diffused reflection on the surface of the acquired printing cloth and making object images in an optimal state. The encoder is used for controlling the shooting frequency of the intelligent camera, and simultaneously a driving roller transmits a pulse signal in a counting way once every integer number of repeat intervals to trigger the intelligent camera, so that the intelligent camera can acquire printing patterns at a time, thereby ensuring that the acquired images are in one zone of the repeat. The utility model has the advantages of convenient installation, simple maintenance and high detection efficiency.
Description
Technical field
The utility model belongs to technical field of textile printing, is specifically related to a kind of stamp error detecting apparatus based on smart camera.
Background technology
Fabric printing technology in the textile industry is a professional extremely strong application engineering.At present, stamp is still big branch of textile printing and dyeing industry, and in the stamp industry, registration precision is a very important technological requirement.The current general approach that the flower control system is adopted much all is to have adopted Open-loop control system of step, and initial alignment needs artificial the participation.Reasonable scheme all is to adopt servomotor, and obtains the flower framing signal from servomotor, spends bit error to detect, judge and control.This control scheme is a kind of half-closed loop control mode, and complete machine dynamic registration precision in service still is difficult to improve.
At present, what domestic most of printing and dyeing enterprise still adopted is the detection method that the artificial visually examine judges, also there is minority enterprise to adopt advanced rotary screen printing machines: promptly on each stamp net tube axle, to do special mark to spending detection method, perhaps when fabric passes through, on fabric, print off certification mark, with corresponding to spending online decalcomania position, manually participate in during flower net initial alignment, and in the running, then, carry out online detection to spending the mark on online or the fabric, and detection signal is fed back to the motor of flower net by electronic sensor, distance between control flower network mark note position or flower net and the fabric marker is to reach automatic control to the flower effect.This kind rotary screen printing machines is to spending detection scheme only to spending the mark on online or the fabric to carry out online detection, not directly the decalcomania on the fabric to be detected, owing to reasons such as fabric speed of service between the distortion on the print guide belt and print guide belt and each flower net are asynchronous, still can cause the inaccurate defective of decalcomania color bits after the chromatography, still can not reach the effect of high accuracy control stamp chromatography.
At ROTARY SCREAM PRINTING flower is detected, domestic existing enterprise and research institution propose the utilization machine vision technique pattern on the print guide belt are carried out online obtaining, and pattern and the standard pattern that obtains compared, thereby obtain to run the size and Orientation of flower error.But this scheme requires very high to theory, design the comparison difficulty, mainly be because there is himself characteristic in the textile printing image, i.e. " the texture noise " that is produced by cloth textured feature, the existence of " texture noise " make that common filtering, edge extracting, morphology and image are cut apart etc., and the Digital Image Processing algorithm can't be applicable to textile printing treatment of picture and analysis.And want the stamp error of sense colors decalcomania, and at first just relate to difference is overlapped colour sorting, it is any could judging respectively then or which plants chromatography to spending inaccurate and calculating corresponding departure.And " texture noise " makes that also not proposing suitable algorithm at present realizes accurately the cutting apart of decalcomania do not found suitable method to position cutting apart chromatography zone, back, thereby can't judge whether each chromatography colored phenomenon occurs running.These problems make machine vision technique are applied to the very big difficulty of flower error-detecting existence.
Summary of the invention
The purpose of this utility model provides a kind of stamp error detecting apparatus based on smart camera, has solved the decalcomania to gathering that exists in the prior art and can not realize chromatography Region Segmentation accurately, the problem that can not accurately locate each chromatography after cutting apart.
The technical scheme that the utility model adopted is, a kind of stamp error detecting apparatus based on smart camera comprises smart camera and light source, and smart camera is connected with encoder, wherein,
Smart camera, be used for the online acquisition image, in conjunction with Software Development Platform wherein, writing image processing algorithm realizes the decalcomania that collects is carried out each chromatography Region Segmentation, calculate and cut apart each chromatography centre coordinate of back, to cut apart each chromatography centre coordinate of back and each chromatography center for standard coordinate and relatively draw race flower error, and will run and spend error to convert corresponding execution amount to, deliver to executing agency by output port;
Light source, mode is penetrated in illumination before adopting, and the diffuse reflection phenomenon takes place on the stamp cloth cover that is used to guarantee to gather, and makes object image-forming reach optimum state;
Encoder, be used to control the frequency of taking pictures of smart camera, encoder is installed on the drive roll simultaneously, mode with counting, spend back blanking time every integer and send pulsatile once signal triggering smart camera, make it decalcomania is once gathered, guarantee that the image of gathering is the same area in spending back.
Characteristics of the present utility model also are, the CANcam-BF series smart camera that smart camera wherein adopts German FEITH company to produce;
Image processing algorithm wherein adopts the average drifting algorithm.
The beneficial effects of the utility model are, the combined with intelligent camera platform, utilize the embedded operating system of smart camera, write algorithm the decalcomania that collects is carried out chromatography Region Segmentation accurately, calculate the centre coordinate in each chromatography zone, the coordinate position and each the chromatography center for standard coordinate position that obtain are compared, judge whether to occur running the flower phenomenon according to imposing a condition.To run flower control information and give executing agency, realize ROTARY SCREAM PRINTING is run the online correction of flower.The smart camera platform of selecting for use integrates IMAQ, image is handled and transfer of data, makes things convenient for the installation and debugging of equipment greatly, has saved production cost, has improved production efficiency.
Description of drawings
Fig. 1 is the structural representation of the utility model based on the stamp error detecting apparatus of smart camera.
Among the figure, 1. smart camera, 2. light source, 3. encoder.
The specific embodiment
Below in conjunction with the drawings and specific embodiments the utility model is elaborated.
Race flower phenomenon in the ROTARY SCREAM PRINTING process is meant in the stamp process, one width of cloth screen frame or a few width of cloth screen frame are when printing separately chromatography, because a variety of causes, cause the stamp position and the designed colored type position of this screen frame inconsistent, promptly leading or lag behind, thus the colored problem of race of product quality appears influence.
The utility model is based on the structure of the stamp error detecting apparatus of smart camera, as shown in Figure 1, comprise smart camera 1 and light source 2, smart camera 1 is connected with encoder 3, and the CAN EBI of smart camera 1 also partly is connected with the colored network control system of rotary screen printing machines.Wherein,
Smart camera 1, be used for the online acquisition image, in conjunction with Software Development Platform wherein, writing image processing algorithm realizes the decalcomania that collects is carried out each chromatography Region Segmentation, calculate and cut apart each chromatography centre coordinate of back, to cut apart each chromatography centre coordinate of back and each chromatography center for standard coordinate and relatively draw race flower error, and will run and spend error to convert corresponding execution amount to, deliver to executing agency by output port;
Light source 2, mode is penetrated in illumination before adopting, and the diffuse reflection phenomenon takes place on the stamp cloth cover that is used to guarantee to gather, and makes object image-forming reach optimum state;
Encoder 3, be used to control the frequency of taking pictures of smart camera 1, encoder 3 is installed on the drive roll simultaneously, mode with counting, spend back blanking time every integer and send pulsatile once signal triggering smart camera 1, make it decalcomania is once gathered, guarantee that the image of gathering is the same area in spending back.
During work, encoder 3 is installed on the drive roll of rotary screen printing machines, with light source 2 and smart camera 1 be arranged on last net tube back edge regions on the rotary screen printing machines conduction band direction of advance directly over.Light source 2 has certain included angle with the plane of conduction band, and smart camera 1 is perpendicular to the conduction band plane.Smart camera 1 carries out IMAQ one time after system's operate as normal, as standard picture, to the standard picture that obtains, analyzes its chromatography number, and the standard picture that obtains is carried out the color space conversion, converts uniform colour space to.In uniform colour space, spatial domain and color gamut position identical or the similar color pixel are all more approaching, according to these characteristics, the chromatography number that binding analysis obtains, utilization hyperspace clustering algorithm-average drifting algorithm is cut apart each chromatography zone of colour printed pattern, notes the coordinate position of cutting apart each pixel in each chromatography zone, back.All pixel coordinates in each chromatography zone are averaged, thereby obtain the centre coordinate in this chromatography zone,, obtain the center for standard coordinate its position feature value as this chromatography of sign.Later every interval integral multiple spends back the cycle to gather image to be detected at same position, after its dividing processing, with each chromatography zone centre coordinate and corresponding center for standard coordinate comparison that obtains, draw and run the flower error, thereby obtain this chromatography and run flower error size and direction, the race flower error calibration that calculates is become corresponding actual error amount, deliver to each executing agency, realize on-line monitoring and control running colored phenomenon by the CAN interface of smart camera 1.
The CANcam-BF series smart camera that the German FEITH of smart camera 1 employing of the present utility model company produces.This camera is embedded with operating system, and portion carries out secondary development within it, and the camera outside has the CAN EBI, can easily realize the data communication between camera processing data and the peripheral control unit.
The utility model utilizes CANcam series smart camera to be the main hardware platform, utilization average drifting algorithm carries out the cluster of hyperspace to colour printed image, be partitioned into each chromatography zone of graphic image, the centre coordinate position is asked in each chromatography zone of cutting apart, then centre coordinate and this chromatography center for standard coordinate that obtains compared, draw stamp error phenomenon whether occurs, and testing result delivered to control section by PORT COM, easy for installation, safeguard simply the detection efficiency height.
Claims (2)
1. stamp error detecting apparatus based on smart camera, it is characterized in that, comprise smart camera (1) that is used for the online acquisition image and the light source (2) that is used to shine, described smart camera (1) be used to control the take pictures encoder (3) of frequency of smart camera (1) and be connected.
2. according to the described stamp error detecting apparatus of claim 1, it is characterized in that the CANcam-BF series smart camera that the German FEITH of described smart camera (1) employing company produces based on smart camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200920306425XU CN201512707U (en) | 2009-07-18 | 2009-07-18 | Printing error detection device based on intelligent camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN200920306425XU CN201512707U (en) | 2009-07-18 | 2009-07-18 | Printing error detection device based on intelligent camera |
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| CN201512707U true CN201512707U (en) | 2010-06-23 |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102673177A (en) * | 2011-03-16 | 2012-09-19 | 杭州宏华数码科技股份有限公司 | Method for printing textile pattern based on textile grains |
| CN103741443A (en) * | 2013-12-24 | 2014-04-23 | 刘瑜 | Online detection system and online detection method for pattern distance |
| CN103942791A (en) * | 2014-04-14 | 2014-07-23 | 立德高科(北京)数码科技有限责任公司 | Method for detecting printing quality of special spectral anti-fake mark in real time |
| CN106042623A (en) * | 2016-06-03 | 2016-10-26 | 杭州宏华数码科技股份有限公司 | Digital jet printing and rotary screen printing synchronization printing method and mechanism |
| CN106113112A (en) * | 2016-06-29 | 2016-11-16 | 芜湖市佳谷豆工贸有限公司 | New year cake section printing device |
| CN108375681A (en) * | 2018-01-12 | 2018-08-07 | 江汉大学 | Conduction band linear velocity surge detection system |
| CN108569028A (en) * | 2018-06-29 | 2018-09-25 | 常州宏大智能装备产业发展研究院有限公司 | Circular screen printer network blocking sweep-out method and the circular screen printer for using this method |
| CN109709102A (en) * | 2019-01-17 | 2019-05-03 | 广州超音速自动化科技股份有限公司 | Die-cutting machine lithium battery pole slice physical imperfection detection system, method and device |
| CN112556581A (en) * | 2020-12-04 | 2021-03-26 | 常州市新创智能科技有限公司 | Carbon plate detection system based on machine vision and detection method thereof |
| CN113588671A (en) * | 2021-09-28 | 2021-11-02 | 江苏祥顺布业有限公司 | Low-power consumption cloth inspecting machine intelligent control method and system |
-
2009
- 2009-07-18 CN CN200920306425XU patent/CN201512707U/en not_active Expired - Fee Related
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102673177B (en) * | 2011-03-16 | 2016-01-20 | 杭州宏华数码科技股份有限公司 | A kind of based on cloth textured textile design Method of printing |
| CN102673177A (en) * | 2011-03-16 | 2012-09-19 | 杭州宏华数码科技股份有限公司 | Method for printing textile pattern based on textile grains |
| CN103741443A (en) * | 2013-12-24 | 2014-04-23 | 刘瑜 | Online detection system and online detection method for pattern distance |
| CN103741443B (en) * | 2013-12-24 | 2016-08-17 | 刘瑜 | Flower pattern color spacing on-line detecting system and detection method thereof |
| CN103942791A (en) * | 2014-04-14 | 2014-07-23 | 立德高科(北京)数码科技有限责任公司 | Method for detecting printing quality of special spectral anti-fake mark in real time |
| CN103942791B (en) * | 2014-04-14 | 2016-08-24 | 立德高科(北京)数码科技有限责任公司 | The method that the printing quality of peculiar spectrum anti-counterfeiting mark is detected in real time |
| CN106042623B (en) * | 2016-06-03 | 2018-11-23 | 杭州宏华数码科技股份有限公司 | The digital spray printing printing method and printing machine frame synchronous with rotary scream printing |
| CN106042623A (en) * | 2016-06-03 | 2016-10-26 | 杭州宏华数码科技股份有限公司 | Digital jet printing and rotary screen printing synchronization printing method and mechanism |
| CN106113112A (en) * | 2016-06-29 | 2016-11-16 | 芜湖市佳谷豆工贸有限公司 | New year cake section printing device |
| CN108375681A (en) * | 2018-01-12 | 2018-08-07 | 江汉大学 | Conduction band linear velocity surge detection system |
| CN108375681B (en) * | 2018-01-12 | 2020-04-21 | 江汉大学 | Conduction band linear velocity fluctuation detection system |
| CN108569028A (en) * | 2018-06-29 | 2018-09-25 | 常州宏大智能装备产业发展研究院有限公司 | Circular screen printer network blocking sweep-out method and the circular screen printer for using this method |
| CN109709102A (en) * | 2019-01-17 | 2019-05-03 | 广州超音速自动化科技股份有限公司 | Die-cutting machine lithium battery pole slice physical imperfection detection system, method and device |
| CN112556581A (en) * | 2020-12-04 | 2021-03-26 | 常州市新创智能科技有限公司 | Carbon plate detection system based on machine vision and detection method thereof |
| CN112556581B (en) * | 2020-12-04 | 2021-09-10 | 常州市新创智能科技有限公司 | Carbon plate detection system based on machine vision and detection method thereof |
| CN113588671A (en) * | 2021-09-28 | 2021-11-02 | 江苏祥顺布业有限公司 | Low-power consumption cloth inspecting machine intelligent control method and system |
| CN113588671B (en) * | 2021-09-28 | 2021-12-10 | 江苏祥顺布业有限公司 | Low-power consumption cloth inspecting machine intelligent control method and system |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100623 Termination date: 20110718 |