CN112990209A

CN112990209A - Label detection device and label detection method

Info

Publication number: CN112990209A
Application number: CN201911301202.9A
Authority: CN
Inventors: 李文峰
Original assignee: Zhongheng Yongchuang Beijing Technology Co ltd; China University of Petroleum Beijing
Current assignee: Zhongheng Yongchuang Beijing Technology Co ltd; China University of Petroleum Beijing
Priority date: 2019-12-17
Filing date: 2019-12-17
Publication date: 2021-06-18

Abstract

The present invention relates to a label detection apparatus and a corresponding label detection method. The label detecting apparatus includes: a server; a platform that allows the label paper to walk in itself under the control of the server; and the acquisition part is arranged in the platform and is used for acquiring the label image of the label paper walking in the platform under the control of the server. The server performs image recognition on the tag image received from the capturing part to extract actual tag data, and compares the actual tag data with stored theoretical tag data.

Description

Label detection device and label detection method

Technical Field

The invention relates to the field of machine vision printed matter detection, in particular to a label detection device and a label detection method for sleeve label type labels.

Background

In recent years, due to the trend of commodity tracing, code scanning in a moving mode and the like, the code assigning proportion of product packaging is greatly increased. Variable data such as two-dimensional codes, bar codes, digital codes and the like sprayed and printed on various labels endow the commodities with unique identity marks. The label products with different purposes generate various label data logical relations. Therefore, the demand for variable data detection capability of the print product detection apparatus is also increasing.

Most current print inspection systems include simple variable data inspection functionality. In the case of conventional tags having only one type of tag data, these detection systems can satisfy the basic data identification and detection requirements for comparison of tag data with data pool data.

However, the case of a set of label-like variable data labels for product packaging distribution is complicated. There are more than 2 different data contents in such a label, and these data contents respectively belong to the variable data of different packaging links. The variable data content of each label and the dependent correspondence relationship of each grade of label data need to be accurately checked. In addition, the typesetting and data format of the label data and the data typesetting format in the source data file are complicated and changeable. The current detection equipment cannot achieve universality.

Therefore, a general method for detecting the tag data and the dependency relationship between the tag data in the label package is needed to meet the requirement of such detection.

Disclosure of Invention

The invention aims to realize the alignment detection of the multi-level set label variable data in the field of the detection of the current printed matters.

In one aspect, the present invention provides a label detection apparatus, which may include: a server; a platform that allows the label paper to walk in itself under the control of the server; and the acquisition part is arranged in the platform and is used for acquiring the label image of the label paper walking in the platform under the control of the server. The server performs image recognition on the tag image received from the capturing part to extract actual tag data, and compares the actual tag data with stored theoretical tag data.

According to one embodiment, the platform may include an upper paper section, an intermediate running section, and a paper receiving section, and the tab sheet may travel along a route of the upper paper section, the intermediate running section, and the paper receiving section.

According to one embodiment, the collecting section may be provided between the delivery section and the intermediate run section and/or between the intermediate run section and the delivery section.

According to one embodiment, the server may comprise a memory for storing the theoretical label data and the defects occurring in the label paper.

According to one embodiment, the theoretical tag data used in making the comparison may have a tree list structure.

According to one embodiment, the server may control the stage and the collecting part in synchronization so that the server can cope with flaws occurring in the label paper in real time.

According to one embodiment, the server may further include a display section capable of displaying the flaw in an enlarged manner in a case where the flaw occurs.

In another aspect, the present invention provides a label detection method performed by the label detection apparatus as described above. In the method, image recognition is performed on the tag image received from the capturing part by the server to extract actual tag data, and the actual tag data is compared with stored theoretical tag data.

The scheme of the invention enables the variable data of the set label type to use a machine vision detection method, ensures that the data information of the product is correct, reduces the production period of the product and improves the delivery efficiency.

Drawings

Fig. 1 shows a detection device according to the invention.

Fig. 2 shows a treelist structure used in the detection method according to the invention.

Detailed Description

As shown in fig. 1, the detecting device of the present invention includes a control unit 1, a stage, and a collecting section 3.

In addition, although not shown in detail in fig. 1, the control unit 1 includes a signal processing system for image recognition, data processing, and the like, and a memory for storing data.

In the embodiment of fig. 1, the platform comprises a feeding section 2, an intermediate run section 4 and a delivery section 5. The label paper including the label is fed to the feeding section 2, then passes through the intermediate running section 4, and finally reaches the delivery section 5.

However, the specific implementation of the platform is not limited to the configuration shown in fig. 1, and the platform may have any configuration as long as the paper feeding of the label paper can be achieved.

The acquisition section 3 is provided in the stage to image the label paper.

In the embodiment shown in fig. 1, the collecting section 3 is arranged between the upper paper section 2 and the intermediate run section 4. However, the collecting section 3 may be provided between the intermediate run section 4 and the delivery section 5. The acquisition unit 3 includes an image pickup unit, such as a high-speed color line camera, and acquires an image of the label on the label paper using the image pickup unit.

The acquisition section 3 is connected to the control unit 1 by wire or wirelessly to transfer an image acquired during the paper feeding operation to the control unit 1. Next, the control unit 1 performs real-time processing on the received image. Specifically, the control unit 1 performs image recognition using a signal processing system to acquire real-time tag data, and compares the real-time tag data with theoretical tag data stored in a memory. Once a problem is found, the control unit 1 makes an error report.

In performing the tag data comparison, the tag data read from the memory of the control unit 1 may be converted to have a tree list structure as shown in fig. 2 as theoretical tag data.

In the tree list structure, tag data is composed of a plurality of hierarchies. For example, as shown in fig. 2, the tag data is composed of three levels. In particular, in a first hierarchy, the treelist structure includes one or more superscripts 1, 2. In the second level, the tree list structure includes winning bids 11, 12, and 13 or winning bids 21, 22, and 23. In a third level, the tree list structure includes one or more tabs 111 through 122. Of course, the hierarchy of the tree list structure may be other hierarchies, and the number of indexes of each hierarchy may be arbitrary.

In one-to-one comparison, if any one label data or position is inconsistent, the label is considered to have an error or flaw. The system can prompt theoretical information and actual identification information, and is convenient for operators to operate.

In addition, the control unit 1 may also be configured to control the platform and the acquisition part 3 separately, but may also control both the platform and the acquisition part 3 synchronously.

Preferably, the control unit 1 controls the platform and the acquisition part 2 synchronously, so that the control unit 1 can process the label image obtained by the acquisition part 3 in real time and obtain real-time label data, thereby being capable of processing in time once a problem occurs in the label. For example, the control unit 1 may control the detection means to stop to a designated platform position when a problem is found. In this case, the control unit 1 may issue an alarm to notify the operator to reject the problem product.

Under the control of the control unit 1, the table allows the label paper to advance through the path of the upper paper unit 2, the intermediate running unit 4, and the delivery unit 5, and to be finally stored in the delivery unit 5.

Under the control of the control unit 1, the image pickup portion of the capturing portion 3 acquires an image of the label on the label paper and transmits the acquired label image to the control unit 1. Thereafter, based on the received tag object, the control unit 1 performs image recognition using a signal processing system to extract real-time tag data, and compares the real-time tag data with theoretical tag data stored in a memory to determine whether there is an error in the real-time tag data. Once a problem is found, the control unit 1 makes an error report.

In addition, the control unit 1 may also be integrated with a display section (not shown) to perform display, saving, and the like of data such as control data, tag data, and the like. In addition, when a problem is found, the control unit 1 may instruct the display section to perform real-time enlarged display of an image of the problem product, and may display an error display.

Next, a detection method implemented by the detection apparatus according to the present invention will be described.

Fig. 2 shows a one-to-one comparison between an actual printed label and label data stored in advance in the control unit 1.

Note that when printing a label on a label paper, printing is performed according to a desired layout (i.e., corresponding label data).

In order to detect a printed label sheet, the memory of the control unit 1 of the detection device of the present invention stores label data of the corresponding label sheet as theoretical data.

During the detection, the label paper advances between the upper paper section 2, the intermediate run section 4, and the delivery section 5. In this way, the acquisition unit 3 images the label paper by the imaging unit and preferably transmits the acquired images to the control unit 1 in real time and in synchronization.

Then, as described above, the control unit 1 acquires an image of the label on the label paper, and performs image recognition using a signal processing system to acquire real-time label data, and compares the real-time label data with theoretical data stored in the memory. Specifically, the comparison method is a one-to-one comparison method shown in fig. 2.

Once a problem is found, the control unit 1 makes an error report. At this time, for example, the control unit may control the detection device to stop to a specified stage position.

Claims

1. A label sensing device comprising:

a server;

a platform that allows the label paper to walk in itself under the control of the server; and

a collecting part which is arranged in the platform and acquires the label image of the label paper walking in the platform under the control of the server,

wherein the server performs image recognition on the tag image received from the capturing part to extract actual tag data, and compares the actual tag data with stored theoretical tag data.

2. The label detecting device according to claim 1, wherein the stage includes an upper paper section, an intermediate running section, and a paper receiving section, and the label paper travels along a route of the upper paper section, the intermediate running section, and the paper receiving section.

3. The label detecting device according to claim 2, wherein the collecting section is provided between the paper delivery section and an intermediate running section and/or between the intermediate running section and the paper delivery section.

4. The label sensing device as claimed in claim 1, wherein said server comprises a memory for storing said theoretical label data and/or defects present in said label sheet.

5. The tag detection apparatus according to any one of claims 1 to 4, wherein the theoretical tag data used in the comparison has a tree list structure.

6. The label detecting apparatus according to any one of claims 1 to 4, wherein the server synchronously controls the stage and the collecting section so that the server can cope with a flaw occurring in the label paper in real time.

7. The label detecting apparatus according to claim 6, wherein the server further comprises a display section capable of displaying the flaw in an enlarged manner in a case where the flaw occurs.

8. A label detection method performed by the label detection apparatus according to any one of claims 1 to 7,

characterized in that, by the server, image recognition is performed on the tag image received from the capturing section to extract actual tag data, and the actual tag data is compared with stored theoretical tag data.