CN112308807A - Subject type field detection system - Google Patents
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- CN112308807A CN112308807A CN202011115231.9A CN202011115231A CN112308807A CN 112308807 A CN112308807 A CN 112308807A CN 202011115231 A CN202011115231 A CN 202011115231A CN 112308807 A CN112308807 A CN 112308807A
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Abstract
The invention relates to a subject type field detection system, which comprises: the mode switching equipment is used for counting the classification of each character in the page imaging area, determining the subject type to which the job page to be checked belongs based on the classification result, and switching the checking mode of the connected job checking mechanism to the checking mode corresponding to the subject type to which the job page to be checked belongs; and the operation checking mechanism is used for executing visual checking processing whether the operation result is correct on the operation page to be checked. The subject type field detection system is compact in design and reliable in switching. The method and the device can count the respective classification of each character in the page imaging area corresponding to the job page to be checked, determine the subject type to which the job page to be checked belongs based on the classification result, and switch the job checking mode to the checking mode corresponding to the subject type to which the job page to be checked belongs, thereby realizing the self-adaptive switching of the job checking mode.
Description
Technical Field
The invention relates to the field of visual detection, in particular to a subject type field detection system.
Background
Visual inspection is to use a robot to replace human eyes for measurement and judgment. The visual detection means that a machine vision product (namely an image shooting device which is divided into a CMOS (complementary metal oxide semiconductor) product and a CCD (charge coupled device) product) converts a shot target into an image signal, transmits the image signal to a special image processing system, and converts the image signal into a digital signal according to information such as pixel distribution, brightness, color and the like; the image system performs various calculations on these signals to extract the features of the target, and then controls the operation of the on-site equipment according to the result of the discrimination. Is a valuable mechanism for production, assembly or packaging. It has immeasurable value in terms of the ability to detect defects and prevent defective products from being distributed to consumers.
The machine vision detection is characterized by improving the flexibility and the automation degree of production. In some dangerous working environments which are not suitable for manual operation or occasions which are difficult for manual vision to meet the requirements, machine vision is commonly used to replace the manual vision; meanwhile, in the process of mass industrial production, the efficiency of checking the product quality by using manual vision is low, the precision is not high, and the production efficiency and the automation degree of production can be greatly improved by using a machine vision detection method. And the machine vision is easy to realize information integration, and is a basic technology for realizing computer integrated manufacturing.
Currently, when parents or teachers check children's jobs, some visual detection's job inspection equipment can help parents or teachers to promote inspection efficiency and accuracy, however, because children's job subject types are more, parents or teachers are required to use a plurality of different types of inspection equipment, or when using the same inspection equipment, manual identification of job subjects and manual switching of different subject type inspection modes are required to be performed through a relatively rough and time-consuming manual manner.
Disclosure of Invention
The invention has at least the following two key inventions:
(1) counting respective classifications of characters in a page imaging area corresponding to a job page to be checked, determining a subject type to which the job page to be checked belongs based on a classification result, and correspondingly switching a checking mode of a job checking mechanism to a checking mode corresponding to the subject type to which the job page to be checked belongs;
(2) the identification and output of the page imaging area in the field image after the custom processing is performed based on one or more boundary markers for marking the job page.
According to an aspect of the present invention, there is provided a subject type field inspection system, the system comprising:
the mode switching equipment is connected with the data identification mechanism and used for counting the respective classification of each character in the page imaging area;
the mode switching equipment determines the subject type to which the job page to be checked belongs based on the classification result so as to switch the checking mode of the connected job checking mechanism to the checking mode corresponding to the subject type to which the job page to be checked belongs.
More specifically, in the subject type field inspection system according to the present invention, the system further includes:
and the operation checking mechanism is used for executing visual checking processing whether the operation result is correct on the operation page to be checked.
More specifically, in the subject type field inspection system according to the present invention, the system further includes:
the signal sensing mechanism is internally provided with a photoelectric sensing element and is used for executing real-time photoelectric sensing operation on the environment where the operation page to be checked is located so as to obtain and output a corresponding page sensing image;
the content sharpening device is positioned near the signal sensing mechanism, is connected with the signal sensing mechanism, and is used for carrying out sharpening processing based on Roberts operator on the received page sensing image so as to obtain and output a corresponding content sharpened image;
the sharpening mechanism is connected with the content sharpening equipment and is used for executing geometric mean filtering processing on the received content sharpened image so as to obtain and output a corresponding sharpened image;
the field processing equipment is connected with the sharpening processing mechanism and is used for executing histogram equalization processing on the received sharpening processed image so as to obtain and output a corresponding equalized processed image;
the page analysis mechanism is connected with the field processing equipment and is used for executing identification and output of a page imaging area in the equalization processing image based on one or more boundary marks for marking a job page;
the page analysis mechanism comprises a mark storage unit, a mark identification unit and an area division unit, wherein the mark storage unit is used for storing one or more boundary patterns which are respectively corresponding to one or more boundaries of a mark operation page;
the mark identification unit is connected with the mark storage unit and used for respectively extracting one or more mark imaging areas respectively matched with the one or more boundary patterns from the equalization processing image based on the one or more boundary patterns;
the region segmentation unit is connected with the mark identification unit and is used for outputting imaging regions surrounded by the one or more mark imaging regions in the balanced processing image as the page imaging regions;
and the data identification mechanism is connected with the page analysis mechanism and is used for executing character recognition processing on the page imaging area so as to obtain each character in the page imaging area.
The subject type field detection system is compact in design and reliable in switching. The method and the device can count the respective classification of each character in the page imaging area corresponding to the job page to be checked, determine the subject type to which the job page to be checked belongs based on the classification result, and switch the job checking mode to the checking mode corresponding to the subject type to which the job page to be checked belongs, thereby realizing the self-adaptive switching of the job checking mode.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram showing a construction of a subject type field test system according to an embodiment of the present invention.
Detailed Description
Embodiments of the subject-type field inspection system of the present invention will be described in detail below with reference to the accompanying drawings.
In traditional assignments, subjects are provided by textbooks (or teachers), rather than being self-selected by students. The students in different levels implement the non-difference homework design, and the students are taught to walk all the time and cut once, which greatly causes the phenomena of 'eating is not full' and 'eating is not full' of the students. The homework is an operation mode, is not necessarily limited to written homework, and can also be an activity or an interaction among students. But the traditional homework is almost limited to written answers and has no other forms. The homework frequently arranged by many teachers is a large amount of repeated training or copying, the back practice or the matched practice does not separate the green, red, soapy and white characters and all fall on the white paper in black, and the monotonous and tedious homework like this presses the learning enthusiasm of students, presses the flexibility and creative exertion of the students, and enables the students to lose interest in learning and homework, thereby becoming a burden of 'only pressure and no charm'.
With the development of science and technology, electronic homework or electronic examination of homework becomes a key item in research and development of people, for example, electronic homework refers to that students complete exercises, test papers or completed data files of system question banks in class or after class according to the requirements of teachers in the environment of information-based teaching. And the electronic inspection of the job refers to batch inspection for rapidly completing the job in an electronic mode.
Currently, when parents or teachers check children's jobs, some visual detection's job inspection equipment can help parents or teachers to promote inspection efficiency and accuracy, however, because children's job subject types are more, parents or teachers are required to use a plurality of different types of inspection equipment, or when using the same inspection equipment, manual identification of job subjects and manual switching of different subject type inspection modes are required to be performed through a relatively rough and time-consuming manual manner.
In order to overcome the defects, the invention builds a subject type field detection system, and can effectively solve the corresponding technical problem.
Fig. 1 is a block diagram showing a structure of a subject type field inspection system according to an embodiment of the present invention, the system including:
the mode switching equipment is connected with the data identification mechanism, counts the classification of each character in the page imaging area, determines the subject type to which the operation page to be checked belongs based on the classification result, and switches the checking mode of the connected operation checking mechanism into the checking mode corresponding to the subject type to which the operation page to be checked belongs;
the operation checking mechanism is used for executing visual checking processing on whether the operation result is correct on the operation page to be checked;
the signal sensing mechanism is internally provided with a photoelectric sensing element and is used for executing real-time photoelectric sensing operation on the environment where the operation page to be checked is located so as to obtain and output a corresponding page sensing image;
the content sharpening device is positioned near the signal sensing mechanism, is connected with the signal sensing mechanism, and is used for carrying out sharpening processing based on Roberts operator on the received page sensing image so as to obtain and output a corresponding content sharpened image;
the sharpening mechanism is connected with the content sharpening equipment and is used for executing geometric mean filtering processing on the received content sharpened image so as to obtain and output a corresponding sharpened image;
the field processing equipment is connected with the sharpening processing mechanism and is used for executing histogram equalization processing on the received sharpening processed image so as to obtain and output a corresponding equalized processed image;
the page analysis mechanism is connected with the field processing equipment and is used for executing identification and output of a page imaging area in the equalization processing image based on one or more boundary marks for marking a job page;
the page analysis mechanism comprises a mark storage unit, a mark identification unit and an area division unit, wherein the mark storage unit is used for storing one or more boundary patterns which are respectively corresponding to one or more boundaries of a mark operation page;
the mark identification unit is connected with the mark storage unit and used for respectively extracting one or more mark imaging areas respectively matched with the one or more boundary patterns from the equalization processing image based on the one or more boundary patterns;
the region segmentation unit is connected with the mark identification unit and is used for outputting imaging regions surrounded by the one or more mark imaging regions in the balanced processing image as the page imaging regions;
and the data identification mechanism is connected with the page analysis mechanism and is used for executing character recognition processing on the page imaging area so as to obtain each character in the page imaging area.
Next, a detailed description will be made of a specific structure of the subject type field inspection system of the present invention.
In the subject type field detection system:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of the characters belonging to the number type in the page imaging area occupying the total number of all the characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is mathematical.
In the subject type field detection system:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of the characters belonging to the English letter type in the page imaging area occupying the total number of all the characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is English.
In the subject type field detection system:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of characters belonging to the type of the chemical formula composition letters in the page imaging area occupying the total number of all characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is chemical.
In the subject type field detection system:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of the characters belonging to the Chinese square character type in the page imaging area occupying the total number of all the characters exceeds the limit, determining that the subject type to which the operation page to be checked belongs is Chinese.
In the subject type field detection system:
the field processing equipment is internally provided with a temperature sensor which is used for measuring the internal temperature of the field processing equipment and outputting the internal temperature in real time;
the field processing equipment is internally provided with a humidity sensor which is used for measuring the internal humidity of the field processing equipment and outputting the internal humidity in real time.
In the subject type field detection system:
and a pressure sensor is arranged in the field processing equipment and is used for measuring the pressure born by the shell of the field processing equipment and outputting the pressure in real time.
In the subject type field detection system:
the page analysis mechanism is internally provided with a temperature sensor which is used for measuring the internal temperature of the page analysis mechanism and outputting the internal temperature in real time.
In the subject-type field inspection system, the system further comprises:
and the power line transmission interface is respectively connected with the field processing equipment and the page analysis mechanism and is used for receiving and forwarding output data of all sensors of each of the field processing equipment and the page analysis mechanism.
In the subject type field detection system:
a humidity sensor is arranged in the page analysis mechanism and used for measuring the internal humidity of the page analysis mechanism and outputting the internal humidity in real time;
the page analysis mechanism is internally provided with a pressure sensor used for measuring the pressure born by the shell of the page analysis mechanism and outputting the pressure in real time.
In addition, in the subject type field detection system, Power Line Carrier-PLC communication is a special communication mode for voice or data transmission using a Power Line as an information transmission medium. The power lines are generally classified into high, medium and low 3 types in the field of power carrier, generally, a high-voltage power line refers to a voltage class of 35kV or more, a medium-voltage power line refers to a voltage class of 10kV, and a low-voltage distribution line refers to 380/220V subscriber lines. Power Line Carrier (PLC) is a communication method specific to a Power system, and Power Line Carrier communication is a technology for transmitting analog or digital signals at high speed by a Carrier method using an existing Power Line. The method has the greatest characteristic that data transmission can be carried out only by wires without erecting a network again. The power line carrier technology breaks through the limitation of being only limited to the application of a singlechip, has entered the digital era,
it is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A subject type field testing system, comprising:
the mode switching equipment is connected with the data identification mechanism and used for counting the respective classification of each character in the page imaging area;
the mode switching equipment determines the subject type to which the job page to be checked belongs based on the classification result so as to switch the checking mode of the connected job checking mechanism to the checking mode corresponding to the subject type to which the job page to be checked belongs.
2. The subject type field detection system of claim 1, wherein the system further comprises:
and the operation checking mechanism is used for executing visual checking processing whether the operation result is correct on the operation page to be checked.
3. The subject type field detection system of claim 2, wherein the system further comprises:
the signal sensing mechanism is internally provided with a photoelectric sensing element and is used for executing real-time photoelectric sensing operation on the environment where the operation page to be checked is located so as to obtain and output a corresponding page sensing image;
the content sharpening device is positioned near the signal sensing mechanism, is connected with the signal sensing mechanism, and is used for carrying out sharpening processing based on Roberts operator on the received page sensing image so as to obtain and output a corresponding content sharpened image;
the sharpening mechanism is connected with the content sharpening equipment and is used for executing geometric mean filtering processing on the received content sharpened image so as to obtain and output a corresponding sharpened image;
the field processing equipment is connected with the sharpening processing mechanism and is used for executing histogram equalization processing on the received sharpening processed image so as to obtain and output a corresponding equalized processed image;
the page analysis mechanism is connected with the field processing equipment and is used for executing identification and output of a page imaging area in the equalization processing image based on one or more boundary marks for marking a job page;
the page analysis mechanism comprises a mark storage unit, a mark identification unit and an area division unit, wherein the mark storage unit is used for storing one or more boundary patterns which are respectively corresponding to one or more boundaries of a mark operation page;
the mark identification unit is connected with the mark storage unit and used for respectively extracting one or more mark imaging areas respectively matched with the one or more boundary patterns from the equalization processing image based on the one or more boundary patterns;
the region segmentation unit is connected with the mark identification unit and is used for outputting imaging regions surrounded by the one or more mark imaging regions in the balanced processing image as the page imaging regions;
the data identification mechanism is connected with the page analysis mechanism and is used for executing character identification processing on the page imaging area to obtain each character in the page imaging area;
counting respective classifications of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: when the proportion of the number of characters belonging to the number type in the page imaging area occupying the total number of all characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is mathematic;
counting respective classifications of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of the characters belonging to the English letter type in the page imaging area occupying the total number of all the characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is English.
4. The subject type field inspection system of claim 1, wherein:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of characters belonging to the type of the chemical formula composition letters in the page imaging area occupying the total number of all characters exceeds the limit, determining that the subject type to which the job page to be checked belongs is chemical.
5. The subject type field inspection system of claim 1, wherein:
counting the respective classification of each character in the page imaging area, and determining the subject type to which the job page to be checked belongs based on the classification result comprises the following steps: and when the proportion of the number of the characters belonging to the Chinese square character type in the page imaging area occupying the total number of all the characters exceeds the limit, determining that the subject type to which the operation page to be checked belongs is Chinese.
6. The subject type field inspection system of any of claims 2-5, wherein:
the field processing equipment is internally provided with a temperature sensor which is used for measuring the internal temperature of the field processing equipment and outputting the internal temperature in real time;
the field processing equipment is internally provided with a humidity sensor which is used for measuring the internal humidity of the field processing equipment and outputting the internal humidity in real time.
7. The subject type field inspection system of claim 6, wherein:
and a pressure sensor is arranged in the field processing equipment and is used for measuring the pressure born by the shell of the field processing equipment and outputting the pressure in real time.
8. The subject type field inspection system of claim 7, wherein:
the page analysis mechanism is internally provided with a temperature sensor which is used for measuring the internal temperature of the page analysis mechanism and outputting the internal temperature in real time.
9. The subject type field detection system of claim 8, wherein the system further comprises:
and the power line transmission interface is respectively connected with the field processing equipment and the page analysis mechanism and is used for receiving and forwarding output data of all sensors of each of the field processing equipment and the page analysis mechanism.
10. The subject type field inspection system of claim 9, wherein:
a humidity sensor is arranged in the page analysis mechanism and used for measuring the internal humidity of the page analysis mechanism and outputting the internal humidity in real time;
the page analysis mechanism is internally provided with a pressure sensor used for measuring the pressure born by the shell of the page analysis mechanism and outputting the pressure in real time.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101153850A (en) * | 2006-09-30 | 2008-04-02 | 长安大学 | Method and system for detecting asphalt mixture |
| CN105046677A (en) * | 2015-08-27 | 2015-11-11 | 安徽超远信息技术有限公司 | Enhancement processing method and apparatus for traffic video image |
| CN105095892A (en) * | 2014-05-16 | 2015-11-25 | 上海市上海中学 | Student document management system based on image processing |
| CN105184232A (en) * | 2015-08-12 | 2015-12-23 | 祁亨年 | O2O Internet homework book, O2O Internet homework book system and realization method |
| CN105373978A (en) * | 2015-08-12 | 2016-03-02 | 高学 | Artificial test paper judgment processing device and artificial test paper judgment processing method based on OCR |
| CN109271945A (en) * | 2018-09-27 | 2019-01-25 | 广东小天才科技有限公司 | A kind of method and system of canbe used on line work correction |
| CN109377795A (en) * | 2018-09-27 | 2019-02-22 | 广东小天才科技有限公司 | A kind of the study exchange method and smart machine of smart machine |
| CN110427534A (en) * | 2019-07-31 | 2019-11-08 | 广州视源电子科技股份有限公司 | A kind of processing method, device, equipment and the storage medium of electronics exercise |
| CN110727360A (en) * | 2019-09-10 | 2020-01-24 | 深圳市壹箭教育科技有限公司 | Wrong question management method, wrong question management system, storage medium and terminal equipment |
-
2020
- 2020-10-19 CN CN202011115231.9A patent/CN112308807A/en not_active Withdrawn
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101153850A (en) * | 2006-09-30 | 2008-04-02 | 长安大学 | Method and system for detecting asphalt mixture |
| CN105095892A (en) * | 2014-05-16 | 2015-11-25 | 上海市上海中学 | Student document management system based on image processing |
| CN105184232A (en) * | 2015-08-12 | 2015-12-23 | 祁亨年 | O2O Internet homework book, O2O Internet homework book system and realization method |
| CN105373978A (en) * | 2015-08-12 | 2016-03-02 | 高学 | Artificial test paper judgment processing device and artificial test paper judgment processing method based on OCR |
| CN105046677A (en) * | 2015-08-27 | 2015-11-11 | 安徽超远信息技术有限公司 | Enhancement processing method and apparatus for traffic video image |
| CN109271945A (en) * | 2018-09-27 | 2019-01-25 | 广东小天才科技有限公司 | A kind of method and system of canbe used on line work correction |
| CN109377795A (en) * | 2018-09-27 | 2019-02-22 | 广东小天才科技有限公司 | A kind of the study exchange method and smart machine of smart machine |
| CN110427534A (en) * | 2019-07-31 | 2019-11-08 | 广州视源电子科技股份有限公司 | A kind of processing method, device, equipment and the storage medium of electronics exercise |
| CN110727360A (en) * | 2019-09-10 | 2020-01-24 | 深圳市壹箭教育科技有限公司 | Wrong question management method, wrong question management system, storage medium and terminal equipment |
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