A method for detecting cheating in student exams, electronic equipment and storage medium

Abstract

The present invention relates to a method for detecting cheating in a student exam, an electronic device and a storage medium. The method comprises: setting a desktop straight line in a picture of each exam seat, obtaining the student information of the exam through a camera on the desk of each student; determining a hand feature score and a head feature score according to the student information and the desktop straight line; determining a head-down state score of the student at the exam seat according to the hand feature score and the head feature score; determining a looking-around state score of the student at the exam seat according to the student information; determining a first criterion score according to the head-down state score; determining a second criterion score according to the looking-around state score; determining a cheating criterion score of the exam seat according to the first criterion score and the second criterion score for any frame i>n1 after the exam starts; judging whether the examinee at the exam seat has suspected cheating behavior according to the cheating criterion score of the exam seat, and if the judgment result is that the examinee has suspected cheating behavior, sending a cheating behavior warning to an invigilator for verification and processing.

Description

Technical Field

[0001] The present invention relates to the technical field of cheating detection, and in particular to a method for detecting cheating in student examinations, electronic equipment and storage medium. Background Art

[0002] Academic integrity is the cornerstone of the education system, and ensuring the fairness of exams is key to maintaining this principle. With the development of technology, the means by which students cheat in exams have become more and more high-tech and covert, bringing new challenges to exam monitoring. Traditional exam monitoring methods mainly rely on manual proctoring, which is not only resource-intensive, but also limits the efficiency and accuracy of proctoring. Based on these challenges, it is particularly important to develop a method based on detecting student cheating in exams. Summary of the invention

[0003] Based on the above problems, the present invention provides a method for detecting cheating in student exams, an electronic device and a storage medium.

[0004] In a first aspect, an embodiment of the present invention provides a method for detecting cheating in a student exam, comprising:

[0005] A straight line of desktop is set in the screen of each examination seat, and the examination student information is obtained through the camera equipped with intelligent algorithm installed on each student's desk;

[0006] Determine the hand feature score and the head feature score based on the student information and the straight line of the desktop during the test;

[0007] Determine the head-down status score of the test-taker based on the hand feature score and the head feature score;

[0008] Determine the waiting state score of the students in the examination seat according to the student information of the examination;

[0009] Determine the first criterion score according to the head-down state score;

[0010] Determine the second criterion score according to the waiting state score;

[0011] After the test starts n1 frames, for any frame i>n1, the cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score;

[0012] The cheating criterion score of the examination seat is used to determine whether the candidate has suspected cheating behavior. If the judgment result is that the candidate has suspected cheating behavior, a cheating behavior warning will be sent to the invigilator for verification and processing.

[0013] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the hand feature score is determined based on the student information of the exam and the straight line on the desktop by the following formula:

[0014] when hour, ;

[0015] when

[0016] hour,

[0017] in, is the left-hand center coordinate, is the center coordinate of the right hand. When the left hand and the right hand are not detected, the coordinate is defined as , desktop straight line , A is the coefficient of x, B is the coefficient of y, A and B are not all 0; is the hand feature score, i is the frame number of the camera video, is the first judgment threshold set.

[0018] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the head feature score is determined based on the student information of the exam and the desktop straight line by the following formula:

[0019]

[0020]

[0021]

[0022] in, The left vertex coordinate of the student head identification box, The width of the box for identifying the student's head, The height of the student head identification box, Score the head features, is the position feature score, is the second judgment threshold set, is the third judgment threshold set, Score the eye features, straight line on the desktop , A is the coefficient of x, B is the coefficient of y, A and B are not all 0, i is the number of frames of the camera video, Score the eye features, is the fourth judgment threshold set, is the fifth judgment threshold set, is the left eye center coordinate, is the center coordinate of the right eye.

[0023] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the head-down state score of the student in the exam position is determined according to the hand feature score and the head feature score by the following formula:

[0024]

[0025] in, Score the student's head-down state. Score the hand features, is the head feature score, and i is the frame number of the camera video.

[0026] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the looking-attention score of the student in the exam seat is determined according to the student information of the exam by the following formula:

[0027]

[0028] in, The left vertex coordinate of the student head identification box, The width of the box for identifying the student's head, is the left eye center coordinate, is the center coordinate of the right eye. When the left eye and the right eye are not detected, the coordinate is defined as ), is the sixth judgment threshold, i is the number of frames of the camera video, Score the students' looking away state.

[0029] Furthermore, in the above-mentioned method for detecting cheating in a student exam, determining the first criterion score according to the head-down state score includes:

[0030] At the beginning of the exam After the frame, any frame The first criterion score is determined by the following formula:

[0031]

[0032] in, is the seventh judgment threshold set, is the eighth judgment threshold set, is the first criterion score, is the score of the head-down state, and i is the number of frames of the camera video.

[0033] Furthermore, in the above-mentioned method for detecting cheating in a student exam, determining the second criterion score according to the looking-away state score includes:

[0034] At the beginning of the exam After the frame, any frame The second criterion score is determined by the following formula:

[0035]

[0036]

[0037]

[0038] in, is the seventh judgment threshold set, is the eighth judgment threshold set, is the ninth judgment threshold set, is the tenth judgment threshold, i is the number of frames of the camera video, Score for the second criterion, Score for head integration, Score the students' waiting state. is the fluctuation correction score, and i is the number of frames of the camera video.

[0039] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score by the following formula:

[0040]

[0041] Among them, i is the frame number of the camera video, Score for the second criterion, is the first criterion score, Score points for cheating criteria.

[0042] In a second aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;

[0043] The processor is used to execute a method for detecting cheating in a student exam as described in any one of the above items by calling a program or instruction stored in the memory.

[0044] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute a method for detecting cheating in a student exam as described in any one of the above.

[0045] The advantages of the embodiments of the present invention are as follows: the present invention sets a desktop straight line in the screen of each examination seat, and obtains the student information of the examination by configuring a camera equipped with an intelligent algorithm on each student's desk; determines the hand feature score and the head feature score according to the student information of the examination and the desktop straight line; determines the head-down state score of the examination seat student according to the hand feature score and the head feature score; determines the looking-around state score of the examination seat student according to the examination student information; determines the first criterion score according to the head-down state score; determines the second criterion score according to the looking-around state score; after the examination starts n1 frames, any frame i>n1, determines the cheating criterion score of the examination seat according to the first criterion score and the second criterion score; determines whether the examination seat examinee has suspected cheating behavior according to the cheating criterion score of the examination seat, and if the judgment result is that the examinee has suspected cheating behavior, sends a cheating behavior warning to the invigilator for verification and processing. The present invention accurately determines whether the examinee has suspected cheating behavior through the above method, thereby providing help for the invigilator to invigilate the examination, and improving the experience and efficiency of the invigilator invigilating the examination. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the conventional technology, the drawings required for use in the embodiments or the conventional technology descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 A schematic diagram of a method for detecting cheating in a student exam provided by an embodiment of the present invention;

[0048] Figure 2 It is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific implementation disclosed below.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0051] Figure 1 A schematic diagram of a method for detecting cheating in student examinations provided by an embodiment of the present invention.

[0052] In a first aspect, an embodiment of the present invention provides a method for detecting cheating in a student exam, Figure 1 , including eight steps from S101 to S108:

[0053] S101: A straight line of desktop is set in the screen of each examination seat, and the examination student information is obtained through a camera equipped with an intelligent algorithm configured on each student's desk.

[0054] Specifically, in the embodiment of the present invention, a straight line of the desktop is set in the screen of each examination position. , where A is the coefficient of x, B is the coefficient of y, A and B are not all 0; for any test seat, the information of the test students is collected during the test process , where i is the number of frames of the camera video, The left vertex coordinate of the student head identification box, The width of the box for identifying the student's head, The height of the box for the student's head identification, is the left-hand center coordinate, is the right-hand center coordinate, is the left eye center coordinate, is the center coordinate of the right eye. When the left and right hands are not detected, the coordinates are uniformly defined as , when the left eye and the right eye are not detected, the coordinates are uniformly defined as .

[0055] S102: Determine a hand feature score and a head feature score according to the test student information and the desktop straight line.

[0056] Specifically, in an embodiment of the present invention, a method for determining a hand feature score and a head feature score based on the student information of the test and the straight line of the desktop is described in detail below.

[0057] S103: Determine the head-down state score of the student at the test seat according to the hand feature score and the head feature score.

[0058] Specifically, in an embodiment of the present invention, a method for determining a head-down state score of a student at an examination seat according to a hand feature score and a head feature score is described in detail below.

[0059] S104: Determine the waiting state score of the student in the examination seat according to the student information of the examination.

[0060] Specifically, in an embodiment of the present invention, a method for determining a student's looking-at-a-seat score based on the student information of the examination is described in detail below.

[0061] S105: Determine a first criterion score according to the head-down state score.

[0062] Specifically, in an embodiment of the present invention, a method for determining a first criterion score according to a head-down state score is described in detail below.

[0063] S106: Determine a second criterion score according to the looking-away state score.

[0064] Specifically, in the embodiment of the present invention, the method for determining the second criterion score according to the looking state score is described in detail below.

[0065] S107: After the test starts n1 frames later, in any frame i>n1, the cheating criterion score of the test-taker is determined according to the first criterion score and the second criterion score.

[0066] Specifically, in the embodiment of the present invention, a method for determining a cheating criterion score of a test seat according to the first criterion score and the second criterion score is described in detail below.

[0067] S108: Determine whether the examinee has any suspected cheating behavior based on the cheating criterion score of the examinee seat. If the result of the determination is that the examinee has any suspected cheating behavior, send a cheating behavior warning to the invigilator for verification and processing.

[0068] Specifically, in the embodiment of the present invention, by judging the cheating criterion score of the test seat and the eleventh judgment threshold The size of the test is used to determine whether the examinee has suspected cheating behavior. When the cheating criterion score is greater than the set eleventh judgment threshold When the test taker is judged to have suspected cheating behavior, a cheating warning will be sent to the invigilator for verification and processing.

[0069] It should be understood that the eleventh judgment threshold The size can be flexibly set according to actual conditions.

[0070] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the hand feature score is determined based on the student information of the exam and the straight line on the desktop by the following formula:

[0071] when hour, ;

[0072] when

[0073] hour,

[0074] in, is the left-hand center coordinate, is the center coordinate of the right hand. When the left hand and the right hand are not detected, the coordinate is defined as , desktop straight line , A is the coefficient of x, B is the coefficient of y, A and B are not all 0; is the hand feature score, i is the frame number of the camera video, is the first judgment threshold set.

[0075] Specifically, in the embodiment of the present invention, the first judgment threshold is set The size can be flexibly set according to actual conditions.

[0076] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the head feature score is determined based on the student information of the exam and the desktop straight line by the following formula:

[0077]

[0078]

[0079]

[0080] in, The left vertex coordinate of the student head identification box, The width of the box for identifying the student's head, The height of the box for the student's head identification, Score the head features, is the position feature score, is the second judgment threshold set, is the third judgment threshold set, Score the eye features, straight line on the desktop , A is the coefficient of x, B is the coefficient of y, A and B are not all 0, i is the number of frames of the camera video, Score the eye features, is the fourth judgment threshold set, is the fifth judgment threshold set, is the left eye center coordinate, is the center coordinate of the right eye.

[0081] Specifically, in the embodiment of the present invention, the second judgment threshold is set , set the third judgment threshold , set the fourth judgment threshold , set the fifth judgment threshold The size can be flexibly set according to actual conditions.

[0082] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the head-down state score of the student in the exam position is determined according to the hand feature score and the head feature score by the following formula:

[0083]

[0084] in, Score the student's head-down state. Score the hand features, is the head feature score, and i is the frame number of the camera video.

[0085] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the looking-attention score of the student in the exam seat is determined according to the student information of the exam by the following formula:

[0086]

[0087] in, The left vertex coordinate of the student head identification box, The width of the box for identifying the student's head, is the left eye center coordinate, is the center coordinate of the right eye. When the left eye and the right eye are not detected, the coordinate is defined as ), is the sixth judgment threshold, i is the number of frames of the camera video, Score the students' looking away state.

[0088] Specifically, in the embodiment of the present invention, the sixth judgment threshold is set The size can be flexibly set according to actual conditions.

[0089] Furthermore, in the above-mentioned method for detecting cheating in a student exam, determining the first criterion score according to the head-down state score includes:

[0090] At the beginning of the exam After the frame, any frame The first criterion score is determined by the following formula:

[0091]

[0092] in, is the seventh judgment threshold set, is the eighth judgment threshold set, is the first criterion score, is the head-down state score, and i is the number of frames of the camera video.

[0093] Specifically, in the embodiment of the present invention, the seventh judgment threshold is set , set the eighth judgment threshold The size can be flexibly set according to actual conditions.

[0094] Furthermore, in the above-mentioned method for detecting cheating in a student exam, determining the second criterion score according to the looking-away state score includes:

[0095] At the beginning of the exam After the frame, any frame The second criterion score is determined by the following formula:

[0096]

[0097]

[0098]

[0099] in, is the seventh judgment threshold set, is the eighth judgment threshold set, is the ninth judgment threshold set, is the tenth judgment threshold, i is the number of frames of the camera video, Score for the second criterion, Score for head integration, Score the students' waiting state. is the fluctuation correction score, and i is the number of frames of the camera video.

[0100] Specifically, in the embodiment of the present invention, the seventh judgment threshold is set , set the eighth judgment threshold , set the ninth judgment threshold , set the eighth judgment threshold The size can be flexibly set according to actual conditions.

[0101] Furthermore, in the above-mentioned method for detecting cheating in a student exam, the cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score by the following formula:

[0102]

[0103] Among them, i is the frame number of the camera video, Score for the second criterion, is the first criterion score, Score points for cheating criteria.

[0104] In a second aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;

[0105] The processor is used to execute a method for detecting cheating in a student exam as described in any one of the above items by calling a program or instruction stored in the memory.

[0106] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute a method for detecting cheating in a student exam as described in any one of the above.

[0107] Figure 2 It is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.

[0108] like Figure 2 As shown, the electronic device includes: at least one processor 201, at least one memory 202 and at least one communication interface 203. The various components in the electronic device are coupled together through a bus system 204. The communication interface 203 is used to transmit information between external devices. It can be understood that the bus system 204 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 304 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 2 Various buses are labeled as bus system 204 .

[0109] It can be understood that the memory 202 in this embodiment can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0110] In some implementations, the memory 202 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system and application programs.

[0111] The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application includes various application programs, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. A program that implements any method of a student exam cheating detection method provided in an embodiment of the present invention can be included in the application.

[0112] In an embodiment of the present invention, the processor 201 calls a program or instruction stored in the memory 202, specifically, a program or instruction stored in an application, and the processor 201 is used to execute the steps of each embodiment of a student exam cheating detection method provided in an embodiment of the present invention.

[0113] A straight line of desktop is set in the screen of each examination seat, and the examination student information is obtained through the camera equipped with intelligent algorithm installed on each student's desk;

[0114] Determine the hand feature score and the head feature score based on the student information and the straight line of the desktop during the test;

[0115] Determine the head-down status score of the test-taker based on the hand feature score and the head feature score;

[0116] Determine the waiting state score of the students in the examination seat according to the student information of the examination;

[0117] Determine the first criterion score according to the head-down state score;

[0118] Determine the second criterion score according to the waiting state score;

[0119] After the test starts n1 frames, for any frame i>n1, the cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score;

[0120] The cheating criterion score of the examination seat is used to determine whether the candidate has suspected cheating behavior. If the judgment result is that the candidate has suspected cheating behavior, a cheating behavior warning will be sent to the invigilator for verification and processing.

[0121] Any method in the method for detecting cheating in a student exam provided by an embodiment of the present invention can be applied to the processor 201, or implemented by the processor 201. The processor 201 can be an integrated circuit chip with signal capability. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 201 or an instruction in the form of software. The above processor 201 can be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional device, etc.

[0122] The steps of any method in the method for detecting cheating in a student exam provided by the embodiment of the present invention can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software units in the decoding processor. The software unit can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 202, and the processor 201 reads the information in the memory 202, and completes the steps of a method for detecting cheating in a student exam in combination with its hardware.

[0123] Those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0124] Those skilled in the art will appreciate that the description of each embodiment has its own emphasis, and for parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0125] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for detecting cheating in student exams, characterized in that: include: A straight line of desktop is set in the screen of each examination seat, and the examination student information is obtained through the camera equipped with intelligent algorithm installed on each student's desk; Determine the hand feature score and the head feature score based on the student information and the straight line of the desktop during the test; Determine the head-down state score of the student at the test seat according to the hand feature score and the head feature score; Determine the waiting state score of the students in the examination seat according to the student information of the examination; Determine a first criterion score according to the head-down state score; Determining a second criterion score according to the looking-away state score; After the test starts n1 frames, for any frame i>n1, the cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score; Determine whether the examinee has suspected cheating behavior based on the cheating criterion score of the examinee seat. If the result of the judgment is that the examinee has suspected cheating behavior, send a cheating behavior warning to the invigilator for verification and processing; The hand feature score is determined based on the student information of the test and the desktop straight line by the following formula: When x1 i,j <0orx2 i,j <0, g11 i =1; When x1 i,j ≥0and x2 i,j ≥0and Ax1 i +By1 i +C<0and Ax2 i +By2 i +C<0and When g11 i =0.5 Among them, a1 i =(x1 i ,y1 i ) is the left-hand center coordinate, a2 i =(x2 i ,y2 i ) is the center coordinate of the right hand. When the left hand and the right hand are not detected, the coordinate is defined as (-1, -1). The desktop straight line Ax+By+C=0, A is the coefficient of x, B≥0 is the coefficient of y, and A and B are not all 0; g11 i is the hand feature score, i is the frame number of the camera video, and ts1 is the set first judgment threshold; The head feature score is determined based on the student information of the test and the desktop straight line by the following formula: g12 i =g121 i g122 i Among them, (x i ,y i ) is the left vertex coordinate of the student head recognition box, w i The width of the student head recognition box, h i The height of the student head identification box, g12 i Score for head features, g121 i is the position feature score, ts2 is the second judgment threshold, ts3 is the third judgment threshold, g122 i is the eye feature score, ts4 is the fourth judgment threshold, ts5 is the fifth judgment threshold, e1 i =(x3 i ,y3 i ) is the left eye center coordinate, e2 i =(x4 i ,y4 i ) is the center coordinate of the right eye. When the left eye and the right eye are not detected, the coordinate is defined as (100,100); The head-down state score of the test-taking student is determined according to the hand feature score and the head feature score by the following formula: g1 i =g11 i g12 i Among them, g1 i Give students points for their head-down state.

2. A method for detecting cheating in a student exam according to claim 1, characterized in that: Determine the examination seat based on the examination student information. The student's waiting state score is determined by the following formula: Among them, ts6 is the sixth judgment threshold set, g2 i Score the students' looking away state.

3. A method for detecting cheating in student exams according to claim 1, characterized in that: Determining a first criterion score according to the head-down state score includes: After the test starts n1 frames, the first criterion score is determined by the following formula at any frame i>n1: Among them, ts7 is the seventh judgment threshold set, ts8 is the eighth judgment threshold set, gf1 i is the first criterion score, g1 i Score points for the head-down state.

4. A method for detecting cheating in student exams according to claim 1, characterized in that: Determining the second criterion score according to the waiting state score includes: After the test starts n1 frames, the second criterion score is determined by the following formula at any frame i>n1: Among them, ts7 is the set seventh judgment threshold, ts8 is the set eighth judgment threshold, ts9 is the set ninth judgment threshold, and ts 10 is the set tenth judgment threshold, gf2 i Score for the second criterion, g3 i-j is the head integration score, c i Corrected score for volatility.

5. A method for detecting cheating in student exams according to claim 1, characterized in that: The cheating criterion score of the test seat is determined according to the first criterion score and the second criterion score by the following formula: Among them, gf i Score points for cheating criteria.

6. An electronic device, characterized in that: include: Processor and memory; The processor is used to execute a method for detecting cheating in a student exam as described in any one of claims 1 to 5 by calling a program or instruction stored in the memory.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and the program or instruction enables a computer to execute a method for detecting cheating in a student exam as described in any one of claims 1 to 5.

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