CN114625710A - Visual integration system capable of taking historical data for identification - Google Patents
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Abstract
The invention relates to a vision integration system, in particular to a vision integration system capable of retrieving historical data for identification. The system comprises a visual detection module, a data storage module, an image content identification module, an image content matching judgment processing module and a quick starting module, wherein the visual detection module shoots products to obtain product images and marks the image information, in the visual integrated system capable of identifying historical data, the image content matching judgment processing module identifies the marked information in various images, repeated images are deleted after identification, and a corresponding quick starting mode is established, so that the occupied space of the images is reduced, meanwhile, the efficiency of searching the images is improved, and the problems that the shot images are mixed due to back and forth movement change, the searching is inconvenient, more images are occupied, and the performance of the machine vision system is influenced are solved.
Description
Technical Field
The invention relates to a vision integration system, in particular to a vision integration system capable of retrieving historical data for identification.
Background
The machine vision system uses a machine to replace human eyes for various measurements and judgments. The system is an important branch of computer science, integrates the technologies of optics, mechanics, electronics, computer software and hardware and the like, and relates to a plurality of fields of computers, image processing, mode recognition, artificial intelligence, signal processing, optical-mechanical-electrical integration and the like.
The integrated machine vision system integrates image acquisition, processing and communication functions, and improves the portability of the vision system.
The integrated machine vision system is usually used for replacing manual work to monitor, monitor product information, size, position and the like in the production line, store images shot by monitoring, and calibrate the position and distance of products in the images on the production line after storage so as to facilitate later-stage people examination.
However, due to the portability of the integrated machine vision system, some factories usually move one vision device back and forth to monitor different production lines, but the pictures taken by the movement back and forth are more mixed and inconvenient to search, and the pictures are more, the occupied space is larger, and the performance of the integrated machine vision system is influenced.
Disclosure of Invention
The present invention is directed to a vision integration system capable of retrieving historical data for identification, so as to solve the problems in the background art.
In order to achieve the above object, a visual integration system capable of retrieving historical data for identification is provided, which includes a visual detection module, a data storage module, an image content identification module, an image content matching determination processing module and a quick start module, wherein:
the visual detection module shoots a product to obtain a product image and marks image information;
the data storage module stores the product image and performs partition processing on the basic image;
the image content identification module scans a plurality of stored images and then identifies marks in the images of the products;
the image content matching judgment processing module compares the identified data and processes the corresponding product image according to the comparison result;
and the quick starting module creates a quick starting file for the processed product image and then stores the quick starting file into a corresponding partition in the data storage module.
As a further improvement of the technical scheme, the visual detection module comprises an image acquisition unit and an image processing unit, wherein the image acquisition unit is used for shooting a product, and after shooting, the image processing unit is used for marking the product image so as to display marking information on the product image.
As a further improvement of the technical solution, the visual inspection module further includes an image communication unit, and the communication unit is connected with the terminal device.
As a further improvement of the technical scheme, the visual detection module interface comprises an Ethernet and a USB serial port.
As a further improvement of the technical solution, the data storage module includes a data partition management unit and an image data marking unit, the data partition management unit is configured to store the plurality of product image files in a classified manner, and the image data marking unit is configured to mark the compared images.
As a further improvement of the technical solution, the image content identification module includes an image preprocessing unit, an image feature extraction unit, and an image matching identification unit, wherein:
the image preprocessing unit is used for purifying the product image and removing obvious noise in the image;
the image feature extraction unit translates the preprocessed image into a dot matrix and extracts feature points of the dot matrix;
and the image matching identification unit compares the extracted characteristic points with characters in the database and selects the characters with the highest matching degree of the contrast characteristics.
As a further improvement of the technical solution, the image content matching determination processing module includes an image data comparison unit, the image data comparison unit compares the data identified by the image matching identification unit, and deletes the duplicate image when the comparison results are consistent, otherwise, retains the image.
As a further improvement of the technical solution, the image data comparison unit adopts a text similarity matching algorithm, and an algorithm formula thereof is as follows:
whereinRepresenting the original mark text;representing contrasted tagged text;indicating the similarity of the original markup text and the compared markup text,representing original markup textAnd contrasted tagged textThe edit distance of (d);representing original markup textAnd contrasted tagged textThe length of the longest common substring;representing original markup textAnd contrasted tagged textLength of the best matching string.
As a further improvement of the technical solution, the quick start module includes a marked image file address obtaining unit and a quick start creating unit, the marked image file address obtaining unit obtains a file position of a marked image, and copies the obtained file address into the quick start creating unit to form a quick start mode, and moves the quick start mode into a corresponding folder.
As a further improvement of the technical solution, the data partition management unit is further connected to a positioning module, and the data partition management unit includes a location partition management file unit and a time partition management file unit:
the position partition management file unit is used for acquiring the position information of the positioning module and creating a main folder according to the position information;
the time partition management file unit is used for creating a time-named folder in the main folder.
Compared with the prior art, the invention has the beneficial effects that:
1. in the visual integration system capable of calling historical data for identification, the image content matching judgment processing module is used for identifying the mark information in various images, repeated images are deleted after identification, and a corresponding quick starting mode is established, so that the occupied space of the images is reduced, the efficiency of searching the images is improved, and the problems that the pictures shot by calling and changing back and forth are mixed, inconvenient to search, more pictures exist, the occupied space is large, and the performance of the machine vision system is influenced are solved.
2. In the visual integration system capable of taking historical data for identification, the image file is marked, the marked image file address acquisition unit copies the address of the file, then the address is transmitted to the quick start creating unit, the quick start creating unit creates the acquired address in a quick start mode, so that only one image file is available, the quick start mode can be set to be a plurality of modes, namely, the original image file is started after the quick start mode is opened.
3. In the visual integration system capable of taking historical data for identification, a main folder named by a position is created through position information, then a time partition management file unit can create a sub-folder in the main folder, and the processed image is moved into the corresponding time folder according to the position information, so that the image file can be stored in an ordered mode, and meanwhile, the image scanning efficiency of the system can be improved.
Drawings
FIG. 1 is a schematic diagram of the overall module workflow of the present invention;
FIG. 2 is a schematic diagram of a data storage module according to the present invention;
FIG. 3 is a schematic diagram of a workflow of an image content matching determination processing module according to the present invention;
FIG. 4 is a schematic diagram of the work flow of the data partition management unit according to the present invention.
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.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example 1
Referring to fig. 1 to fig. 3, a visual integration system capable of retrieving historical data for identification is provided, which includes a visual detection module, a data storage module, an image content identification module, an image content matching determination processing module, and a quick start module, where:
the visual detection module shoots a product to obtain a product image and marks image information;
the data storage module stores the product image and performs partition processing on the basic image;
the image content identification module scans the stored multiple images and then identifies marks in the multiple product images;
the image content matching judgment processing module compares the identified data and processes the corresponding product image according to the comparison result;
the quick starting module creates a quick starting file for the processed product image, then stores the quick starting file in a corresponding partition in the data storage module, identifies the mark information in various images through the image content matching judgment processing module, deletes repeated images after identification, and creates a corresponding quick starting mode, so that the space occupied by the images is reduced, and the efficiency of searching the images is improved.
In addition, the visual detection module comprises an image acquisition unit and an image processing unit, the image acquisition unit shoots a product, after shooting, the image processing unit marks the product image, mark information is displayed at the product image, during specific acquisition, the image acquisition unit is positioned on the side wall of the assembly line, when the product on the surface of the assembly line moves to the image acquisition unit, the image acquisition unit detects the movement of the product, at the moment, the image acquisition unit controls the camera to shoot, then the image processing unit identifies the product in the image, and the steps of calibration, positioning, geometric measurement and the like are carried out.
Furthermore, the visual inspection module also comprises an image communication unit, the communication unit is connected with the terminal equipment, and meanwhile, if the difference between the graph and the image which is moved upwards is large (because products on the same assembly line are in the same transition state), the connection is established with the terminal equipment through the image communication unit, and the graph is uploaded to the terminal equipment, so that people can check and pay attention to the graph in time.
Still further, the visual inspection module interface comprises an ethernet and a USB serial port, and since the integrated visual inspection system can be operated independently from the PC host, for this purpose, a plurality of structures of different specifications are provided to establish connection with the terminal device and the visual inspection system.
Specifically, the data storage module comprises a data partition management unit and an image data marking unit, the data partition management unit is used for classifying and storing a plurality of product image files, the image data marking unit is used for marking the compared images, during specific storage, after the image files of the products enter the data storage module, the data partition management unit creates a plurality of folders, the names of the folders can be named by using system time, then the product image files are moved into the corresponding folders according to the time in the attributes of the product image files, when the image content matching judgment processing module processes the same image, only one image is reserved, and at the moment, the image data marking unit marks the reserved image so as to facilitate the rapid positioning of the subsequent changed files.
In addition, the image content identification module comprises an image preprocessing unit, an image feature extraction unit and an image matching identification unit, wherein:
the image preprocessing unit purifies the product image to remove obvious noise in the image;
the image feature extraction unit translates the preprocessed image into a dot matrix and then extracts feature points of the dot matrix;
the image matching and identifying unit compares the extracted characteristic points with the characters in the database, the characters with the highest matching degree of the contrast characteristics are selected, when the characters are identified specifically, the image preprocessing unit acquires the product image in the storage module, then the image is scanned, the apparent noise (interference) in the product image is removed, the inclination angle of the image is measured, the layout analysis is carried out on the image, the selected character domain is typeset and confirmed, the horizontal and vertical typeset character lines are cut, the character image of each line is separated, the identification of the punctuation marks is finished, and the like, after the preprocessing, the image characteristic extracting unit translates the preprocessed image into a dot matrix, then the characteristic points of the dot matrix are extracted, finally the image matching and identifying unit extracts the characteristic points from the dot matrix, then the matching degree of the characteristic points is compared with the known characters in the database, and the identification is successful if the characteristic points are highly matched, otherwise choose one highest.
Further, the image content matching judgment processing module comprises an image data comparison unit, the image data comparison unit compares the data identified by the image matching identification unit, when the comparison result is consistent, the repeated image is deleted, otherwise, the image is kept, when the specific judgment is made, the image comparison unit acquires the data in the image identification unit, when two/more groups of data are consistent, the product image corresponding to the group of data is acquired, the repeated image file is deleted, and if the two/more groups of data are inconsistent, the image is not processed.
Still further, the image data comparison unit adopts a text similarity matching algorithm, and the algorithm formula is as follows:
whereinRepresenting the original mark text;representing contrasted tagged text;indicating the similarity of the original markup text and the compared markup text,representing original markup textAnd contrasted tagged textThe edit distance of (d);representing original markup textAnd contrasted tagged textThe length of the longest common substring;representing original markup textAnd contrasted tagged textThe length of the best matching string of (2) is, for this reason, whenThen, it represents the original marked textAnd contrasted tagged textSimilarly, it indicates that the two pictures are consistent, otherwise, it indicates that the two pictures are not consistent.
Example 2
Referring to fig. 2, the fast start module includes a marked image file address obtaining unit and a fast start creating unit, the marked image file address obtaining unit obtains a file position of a marked image, and copies the obtained file address into the fast start creating unit to form a fast start mode, and moves the fast start mode into a corresponding folder, when in specific use, after the image file is marked, the image file is identified by the fast start module, at this time, the marked image file address obtaining unit copies the address where the file is located, and then transmits the address to the fast start creating unit, the fast start creating unit creates the obtained address into the fast start mode, and then moves the fast start mode into the corresponding folder, at this time, only one image file is present, the quick starting mode can be set to be a plurality of modes, namely, after the quick starting mode is opened, the original image file is started.
Example 3
Referring to fig. 4, the data partition management unit is further connected to a positioning module, and the data partition management unit includes a location partition management file unit and a time partition management file unit:
the position partition management file unit is used for acquiring the position information of the positioning module and creating a main folder according to the position information;
the time partition management file unit is used for creating a time-named file folder in the main file folder, during specific creation, after a product image is shot, the position partition management file unit acquires position information of the positioning module, then the position-named main file folder is created through the position information, then the time partition management file unit can create a sub-file folder in the main file folder, and at the moment, the processed image moves into the corresponding time file folder according to the position information, so that the image files can be stored in an ordered mode, meanwhile, the image scanning efficiency of the system can be improved, when the same image needs to be scanned, the system can classify the image files according to the position information, the scanning range is reduced, and the scanning and comparison efficiency is improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A vision integration system that can retrieve historical data for identification, comprising: the system comprises a visual detection module, a data storage module, an image content identification module, an image content matching judgment processing module and a quick starting module, wherein:
the visual detection module shoots a product to obtain a product image and marks image information;
the data storage module stores the product image and performs partition processing on the basic image;
the image content identification module scans a plurality of stored images and then identifies marks in the images of the products;
the image content matching judgment processing module compares the identified data and processes the corresponding product image according to the comparison result;
and the quick starting module creates a quick starting file for the processed product image and then stores the quick starting file into a corresponding partition in the data storage module.
2. A vision integration system that can fetch historical data for recognition according to claim 1, wherein: the visual detection module comprises an image acquisition unit and an image processing unit, the image acquisition unit shoots a product, and after the product is shot, the product image is marked through the image processing unit, so that the marking information is displayed at the product image.
3. A vision integration system that can fetch historical data for recognition according to claim 2, characterized in that: the visual detection module further comprises an image communication unit, and the communication unit is connected with the terminal equipment.
4. A vision integration system that can fetch historical data for recognition according to claim 2, characterized in that: the visual detection module interface comprises an Ethernet and a USB serial port.
5. A vision integration system that can fetch historical data for recognition according to claim 1, wherein: the data storage module comprises a data partition management unit and an image data marking unit, the data partition management unit is used for storing a plurality of product image files in a classified mode, and the image data marking unit is used for marking the compared images.
6. A vision integration system that can fetch historical data for recognition according to claim 1, wherein: the image content identification module comprises an image preprocessing unit, an image feature extraction unit and an image matching identification unit, wherein:
the image preprocessing unit is used for purifying the product image and removing obvious noise in the image;
the image feature extraction unit translates the preprocessed image into a dot matrix and then extracts feature points of the dot matrix;
and the image matching identification unit compares the extracted characteristic points with characters in the database and selects the characters with the highest matching degree of the contrast characteristics.
7. A vision integration system that can fetch historical data for recognition according to claim 6, wherein: the image content matching judgment processing module comprises an image data comparison unit, the image data comparison unit compares the data identified by the image matching identification unit, when the comparison result is consistent, the repeated image is deleted, otherwise, the image is retained.
8. A vision integration system that can fetch historical data for recognition according to claim 7, wherein: the image data comparison unit adopts a text similarity matching algorithm, and the algorithm formula is as follows:
whereinRepresenting the original mark text;representing contrasted tagged text;indicating the similarity of the original markup text and the compared markup text,representing original markup textAnd contrasted tagged textThe edit distance of (d);representing original markup textAnd contrasted tagged textThe length of the longest common substring;representing original markup textAnd contrasted tagged textLength of the best matching string.
9. A vision integration system that can fetch historical data for recognition according to claim 1, wherein: the quick starting module comprises a marked image file address obtaining unit and a quick starting establishing unit, wherein the marked image file address obtaining unit obtains the file position of a marked image, the obtained file address is copied into the quick starting establishing unit, a quick starting mode is formed, and the quick starting mode is moved into a corresponding folder.
10. A vision integration system that can fetch historical data for recognition according to claim 5, wherein: the data partition management unit is also connected with a positioning module, and comprises a position partition management file unit and a time partition management file unit:
the position partition management file unit is used for acquiring the position information of the positioning module and creating a main folder according to the position information;
the time partition management file unit is used for creating a time-named folder in the main folder.
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