CN109712456A - System is intelligently read and made comments in a kind of student's papery operation based on camera - Google Patents
System is intelligently read and made comments in a kind of student's papery operation based on camera Download PDFInfo
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Abstract
The invention discloses a kind of, and system is intelligently read and made comments in student's papery operation based on camera, including image capture module, database module, read and make comments server, image recognition processing module, described image acquisition module is specially camera, the camera is for shooting the papery operation of student and teacher, the database module for storing teacher's answer, student's answer and computer examination database, it is described read and make comments server for match answer situation with assignment statistics.The present invention is acquired by being carried out the pictorial information of operation using camera, analysis is scanned to picture using deep neural network, the content of students' work is allowed to be converted into identifiable electronic information, and it is stored according to question number-stem-knowledge point-answer form, using reading and making comments, server carries out matching and assignment statistics are answered situation, teacher can check the performance of operation and the respective accuracy of topic at any time, realize Automatic Read Overmarginalia, improve the quality and effect read and made comments.
Description
Technical field
The present invention relates to computer information technology field, in particular to a kind of student's papery operation intelligence based on camera
Read and make comments system.
Background technique
Fulfiling assignment is necessary behavior in students'learning.It is defeated by the way that quality is completed in the daily operation of each student
Enter computer, the knowledge hierarchy grasp situation to form student can be analyzed, parent can understand the daily learning behavior of student, teacher
It can targetedly be explained according to the wrong topic rate of class.
Patent CN105654403A " the knowledge tree problem analysis method for giving students' work result data ", utilizes e-mail
Breath system divides the job into current work collection, Historical Jobs collection, wrong topic collection, can carry out wrong topic to operation according to knowledge point
Filing and arrangement, facilitate students self study from survey.
What patent CN103853699A proposed a kind of electronic homework corrects system, and student and teacher respectively will be on job files
Server-side is reached, the content in server documents is corrected, while being limited the upload activity duration student, to
Prevent copy from plagiarizing.Patent CN106856065A proposes that a kind of student-directed and teacher comment are answerred questions equipment, and a scanning is passed through
Device cooperation scanned version progressively scans operation.But this mode not only needs teacher's typing answer, printing special format
Paper, and it is not necessarily faster than going over examination papers manually to correct process line by line.Patent CN107886794A proposes a kind of achievable guidance
Students' work correct system, system can online comment on operation, be answerred questions, can be with video interactive.But this side
Formula can expend teacher's plenty of time, and network-based point-to-point interbehavior low efficiency, it is difficult to spread on common classroom.
As it can be seen that most work correction systems often rely on e-cooperative work as premise.But in normal teaching process, absolutely
Most of operation is based on paper media, and the forms such as e-schoolbag, online exam pool can only assist.And as the Ministry of Education requires to prohibit
Only mobile phone Pad entering classrooms, electronic homework proportion will be smaller and smaller.Reading and making comments for papery operation is extremely difficult, most
Teacher can only using the form read and made comments by hand, it is time-consuming and laborious, and human brain can not remember each student the case where, parent can not yet
Child is effectively supervised, efficiency and effect are very low, at present not reading and making comments and analyzing towards papery operation on the market
System.
Therefore, a kind of student's papery operation based on camera is invented intelligently to read and make comments system have very much must to solve the above problems
It wants.
Summary of the invention
The purpose of the present invention is to provide a kind of, and system is intelligently read and made comments in student's papery operation based on camera, passes through utilization
Camera carries out the pictorial information acquisition of operation, analysis is scanned to picture using deep neural network, so that students' work
Content can be converted into identifiable electronic information, and deposited according to question number-stem-knowledge point-answer form
Storage, server carries out matching and assignment statistics are answered situation using reading and making comments, and teacher can check the performance and topic of operation at any time
The respective accuracy of mesh, realizes Automatic Read Overmarginalia, improves the quality and effect read and made comments, to solve to propose in above-mentioned background technique
The problem of.
To achieve the above object, the invention provides the following technical scheme: a kind of student's papery operation intelligence based on camera
It can read and make comments system, including image capture module, database module, read and make comments server, image recognition processing module, described image is adopted
Collecting module is specially camera, and the camera is for shooting the papery operation of student and teacher, the database mould
Block for storing teacher's answer, student's answer and computer examination database, it is described read and make comments server for match answer with assignment statistics
Situation, described image recognition processing module include image processing server and content identification server, described image processing service
Device is used for for question number stem content and answer content in positioning operation photo, the content identification server by operation picture
It is converted into text；
Described image recognition processing module connecting pin, which is equipped with, submits module and display module, and the display module connecting pin is equipped with cloth
Operation module, teacher side, student side and modified module are set, the teacher side is connected with this day operation module；
The teacher side is the terminal that teacher carries out system operatio, and the student side is the terminal that student carries out system operatio, institute
It states arrangement operation module and carries out operation layout for teacher, described day operation module carries out this day operation or work standard for teacher and answer
The typing of case, the display module are used to carry out the display of all kinds of answers and job content, and the modified module is used for teacher
It modifies with the content of student's input；
Wherein: teacher filled in model answer in operation module on this first, was taken pictures by the camera of teacher side, system
The hand-written answer of teacher is identified and standardizes display on the display module, teacher can check recognition result, can also carry out manually
Modification, issues operation in this day, after student finishes operation, is taken pictures by the camera of student side, system starts after errorless
Identification student answers and the results are shown on display module, and student can correct to wrong region is identified, confirm nothing
Operation is submitted after accidentally；
The server of reading and making comments is also connected with examination result module and operation quality archive module.
Preferably, described image recognition processing module uses depth nerve when receiving the operation picture of camera shooting
Network is scanned picture, converts depth expression with convolutional neural networks for picture, selecting from depth image expression can
It can be question number, stem and the region of answer, the regional location selected is identified, be topic by the high territorial classification of confidence level
Number, stem, objective item answer, subjective item answer, answer and question number are identified as electronic information, as the result is shown in display module
On, user corrects the recognition result of mistake, clicks and saves, completes the identification of an operation photo.
Preferably, in systems, the content identification server is by operation according to question number-stem-knowledge point-answer
Form be stored in database module.
Preferably, the server of reading and making comments strictly matches multiple-choice question gap-filling questions, and subjective item utilizes neural network ratio
It compared with the similarity degree between verbal description, must achieve the result to every page, the achievement of cumulative every page is averaged, and student's the present is obtained
The completion quality that day does, is stored in database module.
Preferably, when arranging the content sources of operation module in computer examination database in database module, then without religion
Shi Duan, which takes pictures, uploads answer, and system directly can match the examination question stem in computer examination database strictly by stem to be marked
Quasi- answer, and directly matched with answering for student.
Preferably, student submits in operation process, and teacher can check that the performance of operation and topic are respective just at any time
True rate.
Technical effect and advantage of the invention:
1, the present invention can analyze the knowledge body to form student by the way that mass input computer is completed in the daily operation of each student
System grasps situation, and parent can understand the daily learning behavior of student, teacher can according to the wrong topic rate of class targetedly into
Row explanation；
2, it is acquired by carrying out the pictorial information of operation using camera, picture is scanned point using deep neural network
Analysis, allows the content of students' work to be converted into identifiable electronic information, and answer according to question number-stem-knowledge point-
The form of case is stored, and server carries out matching and assignment statistics are answered situation using reading and making comments, and teacher can check operation at any time
Performance and the respective accuracy of topic, realize Automatic Read Overmarginalia, improve the quality and effect read and made comments.
Detailed description of the invention
Fig. 1 is present system overall structure diagram.
Fig. 2 is present system run time organization schematic diagram.
Fig. 3 is image recognition processing module work step schematic diagram of the present invention.
In figure: server, 4 image recognition processing modules are read and made comments, at 5 images in 1 image capture module, 2 database modules, 3
Manage server, 6 content identification servers.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Embodiment 1
System is intelligently read and made comments in a kind of student's papery operation based on camera as shown in Figs. 1-2, including image capture module 1,
Database module 2 reads and makes comments server 3, image recognition processing module 4, and described image recognition processing module 4 takes including image procossing
Business device 5 and content identification server 6；
4 connecting pin of described image recognition processing module, which is equipped with, submits module and display module, the display module connecting pin to be equipped with
Arrangement operation module, teacher side, student side and modified module, the teacher side are connected with this day operation module；
The server 3 of reading and making comments is also connected with examination result module and operation quality archive module.
Further, in the above-mentioned technical solutions, in systems, the content identification server 6 is by operation according to topic
Number-stem-knowledge point-answer form is stored in database module 2.
Embodiment 2
By taking the reading and making comments of any papery operation as an example:
Teacher filled in model answer in operation module on this first, was taken pictures by the camera of teacher side, and system will be taught
The hand-written answer of teacher identifies and standardizes display on the display module, and teacher can check recognition result, can also carry out manual modification,
Operation in this day is issued after errorless, while the model answer of teacher's input is stored into database mould after content identifier module identifies
Inside block 2；
Student side obtains operation in this day by content identification server 6 out of database module 2, after student finishes operation, leads to
The camera for crossing student side is taken pictures, and system starts to identify that student answers and the results are shown on display module, Xue Shengke
It is corrected with the region wrong to identification, confirms errorless rear submission operation；
System obtains the answer that teacher inputs from database module 2 by reading and making comments server 3, and system answers students' work and teacher
Case compares, and updates the accuracy of this class related topic, is slapped according to the knowledge that the knowledge point of every problem updates student
Situation is held, and obtains the achievement of this page of photo；
After student all submits operation in this day, the achievement of system-computed student Ben is stored in database module 2 for family
Long to consult, student submits in operation process, and teacher can check the performance of operation and the respective accuracy of topic at any time；
If paper or practice that operation is generated from computer examination database, take pictures without teacher and upload answer, system can be with
The examination question stem in computer examination database is directly matched strictly to obtain model answer by stem, and is directly answered with student
It is matched, realizes Automatic Read Overmarginalia.
Embodiment 3
As shown in Figure 1-3, the present invention, when carrying out concrete application, image recognition processing module 4 acquires image capture module 1
Information carry out depth processing, specifically include following content:
The identification of operation photo；
When image recognition processing module 4 receive camera shooting operation picture after, using deep neural network to picture into
Row scanning；
S1 converts depth expression with convolutional neural networks for picture；
S2, selecting from depth image expression may be question number, stem and the region of answer；
S3 identifies the regional location selected, by the high territorial classification of confidence level be question number, stem, objective item answer,
Subjective item answer；
Answer and question number are identified as electronic information, as the result is shown on the display module by S4；
S5, user correct the recognition result of mistake, click and save, complete the identification of an operation photo；
The structuring of operation；
Operation is stored in database module 2 according to question number-stem-knowledge point-answer form by content identification server 6
In；
Operation is read and made comments；
By student take pictures upload answer information and the take pictures content of upload of teacher is compared, read and make comments server 3 to multiple-choice question
It fills a vacancy and is strictly matched, subjective item compares the similarity degree between verbal description using neural network, obtains into every page
The achievement of achievement, cumulative every page is averaged, and is obtained the completion quality that student does today, is stored in database module 2, together
When, for each problem, full class student is counted to the accuracy of this problem, is prepared lessons for teacher；
In the above-mentioned technical solutions, computer examination database answer also belongs to a part of database module 2, in the present embodiment, makees
Include two kinds when industry is read and made comments and read and make comments method, specifically:
A, when the content arranged when students' work from teacher's same day, after students' work is identified by content identification server 6,
Server 3 is read and made comments to read and make comments operation according to the correct option that teacher in database module 2 uploads；
B, when students' work is in the computer examination database in database module 2, students' work passes through content identification service
After device 6 identifies, server 3 is read and made comments according to topic stem content and searches for answer in computer examination database, obtain result and student
Answer is matched.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features,
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (6)
1. system, including image capture module (1), database module are intelligently read and made comments in a kind of student's papery operation based on camera
(2), server (3), image recognition processing module (4) are read and made comments, it is characterised in that: described image acquisition module (1) is specially to take the photograph
As head, the camera is for shooting the papery operation of student and teacher, and the database module (2) is for storing religion
Teacher's answer, student's answer and computer examination database, it is described read and make comments server (3) for match answer situation with assignment statistics, it is described
Image recognition processing module (4) includes image processing server (5) and content identification server (6), described image processing service
Device (5) is for question number stem content and answer content in positioning operation photo, and the content identification server (6) will be for that will make
Industry picture is converted into text；
Described image recognition processing module (4) connecting pin, which is equipped with, submits module and display module, the display module connecting pin to set
There are arrangement operation module, teacher side, student side and modified module, the teacher side to be connected with this day operation module；
The teacher side is the terminal that teacher carries out system operatio, and the student side is the terminal that student carries out system operatio, institute
It states arrangement operation module and carries out operation layout for teacher, described day operation module carries out this day operation or work standard for teacher and answer
The typing of case, the display module are used to carry out the display of all kinds of answers and job content, and the modified module is used for teacher
It modifies with the content of student's input；
Wherein: teacher filled in model answer in operation module on this first, was taken pictures by the camera of teacher side, system
The hand-written answer of teacher is identified and standardizes display on the display module, teacher can check recognition result, can also carry out manually
Modification, issues operation in this day, after student finishes operation, is taken pictures by the camera of student side, system starts after errorless
Identification student answers and the results are shown on display module, and student can correct to wrong region is identified, confirm nothing
Operation is submitted after accidentally；
The server (3) of reading and making comments is also connected with examination result module and operation quality archive module.
2. system is intelligently read and made comments in a kind of student's papery operation based on camera according to claim 1, it is characterised in that:
Described image recognition processing module (4) receive camera shooting operation picture when, using deep neural network to picture into
Row scanning converts depth expression with convolutional neural networks for picture, and selecting from depth image expression may be question number, stem
With the region of answer, the regional location selected is identified, by the high territorial classification of confidence level is question number, stem, objective
Answer, subjective item answer are inscribed, answer and question number are identified as electronic information, as the result is shown on the display module, user is to mistake
Recognition result corrected, click save, complete the identification of an operation photo.
3. system is intelligently read and made comments in a kind of student's papery operation based on camera according to claim 1, it is characterised in that:
In systems, operation is stored in by the content identification server (6) according to question number-stem-knowledge point-answer form
In database module (2).
4. system is intelligently read and made comments in a kind of student's papery operation based on camera according to claim 1, it is characterised in that:
The server (3) of reading and making comments strictly matches multiple-choice question gap-filling questions, subjective item using neural network compare verbal description it
Between similarity degree, must achieve the result to every page, the achievement of cumulative every page is averaged, and the completion matter that student does today is obtained
Amount, is stored in database module (2).
5. system is intelligently read and made comments in a kind of student's papery operation based on camera according to claim 1, it is characterised in that:
When arranging the content sources of operation module in computer examination database in database module (2), then take pictures upload without teacher side
Answer, system directly can strictly match the examination question stem in computer examination database by stem to obtain model answer, and straight
It connects and is matched with answering for student.
6. system is intelligently read and made comments in a kind of student's papery operation based on camera according to claim 1, it is characterised in that:
Student submits in operation process, and teacher can check the performance of operation and the respective accuracy of topic at any time.
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| CN110277000A (en) * | 2019-07-03 | 2019-09-24 | 南京红松信息技术有限公司 | System and method is read and made comments and is corrected in a kind of operation or the online craft of paper |
| CN110490074A (en) * | 2019-07-17 | 2019-11-22 | 广州学邦信息技术有限公司 | Method, system and device are corrected in a kind of classroom based on image recognition in real time |
| CN110597806A (en) * | 2019-08-13 | 2019-12-20 | 上海建桥学院 | Wrong question set generation and answer statistics system and method based on reading and amending identification |
| CN111047934A (en) * | 2020-01-07 | 2020-04-21 | 上海奇初教育科技有限公司 | Examination paper making and automatic correcting system |
| CN111047933A (en) * | 2020-01-07 | 2020-04-21 | 上海奇初教育科技有限公司 | Teaching assistance automatic correction system |
| CN111081093A (en) * | 2019-07-11 | 2020-04-28 | 广东小天才科技有限公司 | Dictation content identification method and electronic equipment |
| CN111429318A (en) * | 2020-03-24 | 2020-07-17 | 南京功夫豆信息科技有限公司 | Man-machine interactive acquisition and correction system for paper operation |
| CN111539369A (en) * | 2020-04-30 | 2020-08-14 | 联想万像(深圳)科技有限公司 | Job processing method, device and equipment and readable storage medium |
| CN111552947A (en) * | 2020-04-30 | 2020-08-18 | 尚杰 | Education answer processing method and device |
| CN111783697A (en) * | 2020-07-06 | 2020-10-16 | 周书田 | Wrong question detection and target recommendation system and method based on convolutional neural network |
| CN112150777A (en) * | 2019-06-26 | 2020-12-29 | 广东小天才科技有限公司 | Intelligent operation reminding device and method |
| CN112614027A (en) * | 2020-12-22 | 2021-04-06 | 贵州树精英教育科技有限责任公司 | Answering data acquisition system |
| CN112749692A (en) * | 2020-12-30 | 2021-05-04 | 广州宏途教育网络科技有限公司 | Intelligent reading and amending system |
| CN113128469A (en) * | 2021-05-13 | 2021-07-16 | 北京一起教育科技有限责任公司 | Paper teaching text processing method and device and electronic equipment |
| CN113177454A (en) * | 2021-04-22 | 2021-07-27 | 读书郎教育科技有限公司 | Method for automatically correcting objective questions by using intelligent table lamp and intelligent table lamp |
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| CN110490074A (en) * | 2019-07-17 | 2019-11-22 | 广州学邦信息技术有限公司 | Method, system and device are corrected in a kind of classroom based on image recognition in real time |
| CN110597806A (en) * | 2019-08-13 | 2019-12-20 | 上海建桥学院 | Wrong question set generation and answer statistics system and method based on reading and amending identification |
| CN111047933A (en) * | 2020-01-07 | 2020-04-21 | 上海奇初教育科技有限公司 | Teaching assistance automatic correction system |
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| CN111552947A (en) * | 2020-04-30 | 2020-08-18 | 尚杰 | Education answer processing method and device |
| CN111783697A (en) * | 2020-07-06 | 2020-10-16 | 周书田 | Wrong question detection and target recommendation system and method based on convolutional neural network |
| WO2022057708A1 (en) * | 2020-09-15 | 2022-03-24 | 杭州大拿科技股份有限公司 | Answer autofill method, electronic device, and readable storage medium |
| CN112614027A (en) * | 2020-12-22 | 2021-04-06 | 贵州树精英教育科技有限责任公司 | Answering data acquisition system |
| CN112749692A (en) * | 2020-12-30 | 2021-05-04 | 广州宏途教育网络科技有限公司 | Intelligent reading and amending system |
| CN113177454A (en) * | 2021-04-22 | 2021-07-27 | 读书郎教育科技有限公司 | Method for automatically correcting objective questions by using intelligent table lamp and intelligent table lamp |
| CN113177454B (en) * | 2021-04-22 | 2024-02-09 | 读书郎教育科技有限公司 | Method for automatically correcting objective questions by using intelligent table lamp and intelligent table lamp |
| CN113128469A (en) * | 2021-05-13 | 2021-07-16 | 北京一起教育科技有限责任公司 | Paper teaching text processing method and device and electronic equipment |
| CN113486786A (en) * | 2021-07-05 | 2021-10-08 | 江苏鼎峰信息技术有限公司 | Automatic operation correcting system |
| CN113486786B (en) * | 2021-07-05 | 2024-04-09 | 江苏鼎峰信息技术有限公司 | Automatic operation modifying system |
| CN113569845A (en) * | 2021-07-13 | 2021-10-29 | 读书郎教育科技有限公司 | Intelligent method for assisting teacher in automatic correction and intelligent desk lamp |
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