CN114842567A - Video inspection method, device, equipment and medium - Google Patents
Video inspection method, device, equipment and medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000011156 evaluation Methods 0.000 claims abstract description 207
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The embodiment of the application provides a video inspection method, a device, equipment and a medium, because in the embodiment of the application, inspection classroom videos meeting conditions are obtained according to inspection time and inspection places in inspection instructions, inspection staff can inspect classrooms anytime and anywhere without actually entering the classrooms, and online inspection of the classrooms is realized, so that the efficiency of inspecting the classrooms is improved, first teaching statistical values in the inspection classrooms are determined based on analysis of multi-frame images in the inspection classroom videos, and objective evaluation of the inspection classroom is guaranteed by determining the first evaluation of the inspection classroom according to each first sub-teaching statistical value in the first teaching statistical values and the corresponding preset evaluation range.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a video inspection method, apparatus, device, and medium.
Background
In order to meet the requirement of school teaching management, fine teaching management of schools is better implemented, classroom teaching behaviors are further standardized, daily teaching conventions are implemented, virtuous circle of teaching and learning style is realized, so that the stable improvement of teaching quality is promoted, and schools generally execute a class patrol system.
In the course patrol process, a class patrol group is generally formed by school teaching management personnel, the class taking states of teachers and students are checked by taking the manual class patrol mode through a line, wherein the manual class patrol mode includes modes of attending classes along with a hall, pushing a door to attend classes, randomly spot check and the like.
However, the members of the patrol group are lesson teachers in schools, the teaching task is heavy, the patrol class is performed in a mode of manually patrolling the class through lines, a large amount of time and energy are required to be invested, the normal teaching order is influenced, and the efficiency of the mode of manually patrolling the class is not high. In addition, the evaluation made to the classroom in the course of patrolling the class is made only depending on the subjective evaluation of the group members of patrolling the class, and there will be certain deviation inevitably.
Disclosure of Invention
The application provides a video inspection method, a video inspection device, video inspection equipment and a video inspection medium, and aims to solve the problems of low inspection classroom efficiency and subjective evaluation in the prior art.
In a first aspect, the present application provides a video inspection method, including:
receiving a patrol instruction, wherein the patrol instruction carries patrol time and patrol place;
acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time; determining a first teaching statistic value in the patrol classroom according to the multi-frame images in the patrol classroom video, wherein the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state;
and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In a second aspect, the present application provides a video inspection apparatus, the apparatus comprising:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving a patrol instruction, and the patrol instruction carries patrol time and patrol places;
the acquisition module is used for acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time;
a determining module, configured to determine a first teaching statistic in the patrol classroom according to the multi-frame images in the patrol classroom video, where the first teaching statistic includes at least one first sub-teaching statistic, and the first sub-teaching statistic includes: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state; and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In a third aspect, the present application further provides an electronic device, which at least includes a processor and a memory, and the processor is configured to implement the steps of the video patrol method described in any one of the above when executing the computer program stored in the memory.
In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the steps of any of the video inspection methods described above.
The application provides a video inspection method, a video inspection device and a video inspection medium, wherein an inspection instruction is received in the method, the inspection instruction carries inspection time and inspection places, the inspection classroom video containing the inspection time and acquired by image acquisition equipment installed in the inspection places is acquired, and a first teaching statistic value in an inspection classroom is determined according to multi-frame images in the inspection classroom video, the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: and determining the first evaluation of the patrol classroom according to each first sub-teaching statistic value in the first teaching statistic value and the corresponding preset evaluation range according to the attendance rate, the occurrence frequency of each teaching behavior and the occurrence frequency of each learning state. According to the embodiment of the application, the video of the patrol classroom meeting the conditions is obtained according to the patrol time and the patrol place in the patrol instruction, the patrol staff can patrol the classroom at any time and any place without actually entering the classroom, and online patrol of the classroom is realized, so that the efficiency of the patrol classroom is improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic view of a video inspection process provided in an embodiment of the present application;
fig. 2 is a schematic view of another video inspection process provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a video inspection apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another video inspection apparatus provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.
The application provides a video inspection method, a video inspection device and a video inspection medium, wherein an inspection instruction is received in the method, the inspection instruction carries inspection time and inspection places, the inspection classroom video containing the inspection time and acquired by image acquisition equipment installed in the inspection places is acquired, and a first teaching statistic value in an inspection classroom is determined according to multi-frame images in the inspection classroom video, the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: and determining the first evaluation of the patrol classroom according to each first sub-teaching statistic value in the first teaching statistic value and the corresponding preset evaluation range according to the attendance rate, the occurrence frequency of each teaching behavior and the occurrence frequency of each learning state. According to the embodiment of the application, the video of the patrol classroom meeting the conditions is obtained according to the patrol time and the patrol place in the patrol instruction, the patrol staff can patrol the classroom at any time and any place without actually entering the classroom, and online patrol of the classroom is realized, so that the efficiency of the patrol classroom is improved.
Example 1:
fig. 1 is a schematic view of a video patrol process provided in an embodiment of the present application, where the process specifically includes the following steps:
s101: and receiving a patrol instruction, wherein the patrol instruction carries patrol time and patrol places.
The video inspection process provided by the embodiment of the application is suitable for electronic equipment, and the electronic equipment can be equipment such as a server and a PC.
In order to improve the efficiency of patrolling a classroom, the classroom does not need to be patrolled, and when the classroom needs to be patrolled, a user of the electronic equipment can send a patrolling instruction to the electronic equipment.
When the electronic device receives the patrol instruction, the patrol time and the patrol place carried in the patrol instruction can be obtained, wherein the patrol time and the patrol place are input by a user of the electronic device, specifically, the patrol time can be a time period, such as 2022 year 3 month 14 day 11:15:00-2022 year 3 month 14 day 12:00:00, or can be a certain lesson selected in a teaching plan planned in advance by a school, such as a second lesson of a third week of a first school period, or can be a time point, such as 2022 year 3 month 14 day 11:20: 00; the patrol place can be the identifier of a certain classroom, such as the identifier of a third class, a second class, a 3002 room and the like.
S102: acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time; determining a first teaching statistic value in the patrol classroom according to the multi-frame images in the patrol classroom video, wherein the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: attendance, number of occurrences of each teaching action, and number of occurrences of each learning state.
In order to monitor the state of students and teachers in each classroom in real time, an ordinary school installs image acquisition equipment in each classroom, so that the corresponding relation between the installation position and the identification of the image acquisition equipment can be stored, and after a patrol instruction is received, patrol classroom videos containing patrol time and collected by the image acquisition equipment installed in the patrol place can be obtained according to the patrol time and the patrol place carried in the patrol instruction.
Specifically, the identifier of the image acquisition device corresponding to the patrol location may be determined according to the corresponding relationship between the patrol location, the saved installation position, and the identifier of the image acquisition device, that is, it is determined which image acquisition device is installed in the patrol location, and the patrol classroom video including the patrol time and acquired by the image acquisition device is acquired. The obtained patrol classroom video containing the patrol time and collected by the image collection device can be a video currently collected by the image collection device in real time, or a video already stored in a storage area of the electronic device, and is specifically determined according to the patrol time carried in the patrol instruction.
In the embodiment of the application, a first teaching statistic in the patrol classroom can be determined according to multi-frame images in the patrol classroom video, the first teaching statistic can include at least one first sub-teaching statistic, the first sub-teaching statistic can include attendance rate, the number of times of occurrence of each teaching behavior and the number of times of occurrence of each learning state, in the embodiment of the application, the type of the first sub-teaching statistic is not limited, as long as the effect of patrol in the classroom can be satisfied. In the embodiment of the present application, the multi-frame image in the patrol classroom video may be an image of each frame in the patrol classroom video, or an image corresponding to a fixed frame position or a fixed frame number extracted from the patrol classroom video.
Specifically, the number of times of occurrence of each learning state of the students in the patrol classroom can be counted aiming at multi-frame images in the patrol classroom video based on an image recognition technology, wherein the learning states can comprise positive behaviors and abnormal behaviors of the students, and the positive behaviors comprise behaviors of listening and speaking, raising hands, reading and writing and the like; the abnormal behaviors comprise behaviors of lying on a desk, connecting the head and the ear, playing a mobile phone and the like. Generally, patrol inspection of a classroom not only needs to evaluate the learning state of students, but also can evaluate the teaching behaviors of teachers, so that the number of times of each kind of teaching behaviors of teachers in the patrol classroom can be counted in the embodiment of the application, and the teaching behaviors comprise writing on a blackboard, walking on a platform, walking off the platform, teaching courseware and the like. The students and teachers are used for class according to the school schedule planned by the school, and can determine which class is used for class at the patrol place according to the patrol place and patrol time, so as to determine the number of the people corresponding to the patrol classroom.
S103: and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In the embodiment of the present application, in order to evaluate the patrol classroom by using objective data, a preset evaluation range is configured in the embodiment of the present application, for example, a statistical value threshold is pre-stored for each first sub-teaching statistical value, each first sub-teaching statistical value corresponds to two preset evaluation ranges, and a corresponding score is stored for each preset evaluation range.
If each first sub-teaching statistic corresponds to two preset evaluation ranges, in this embodiment of the application, it may be determined, for each first sub-teaching statistic in the first teaching statistic, whether the first sub-teaching statistic is smaller than a statistic threshold corresponding to the first sub-teaching statistic, if so, a score corresponding to the first sub-teaching statistic smaller than the statistic threshold is obtained, and the score is determined as a score of the first sub-teaching statistic; if not, acquiring a corresponding score when the score is larger than the threshold value of the statistical value, and determining the score as the score of the first sub-teaching statistical value.
The first evaluation of the patrol classroom includes a score of at least one first sub-teaching statistic, specifically, after the score of each first sub-teaching statistic is determined, the score and the value of each first sub-teaching statistic may be calculated, and the sum may be determined as the first evaluation of the patrol classroom, or the determined score of each first sub-teaching statistic may be determined as the first evaluation of the patrol classroom, that is, the first evaluation may be the sum of the scores of each first sub-teaching statistic or the score of each first sub-teaching statistic.
According to the embodiment of the application, the video of the patrol classroom meeting the conditions is obtained according to the patrol time and the patrol place in the patrol instruction, the patrol staff can patrol the classroom at any time and any place without actually entering the classroom, and online patrol of the classroom is realized, so that the efficiency of the patrol classroom is improved.
Example 2:
in order to ensure objectivity of classroom evaluation, on the basis of the above embodiment, in this embodiment of the present application, the determining, according to each first sub-teaching statistic in the first teaching statistic and a corresponding preset evaluation range, a first evaluation of the patrol classroom includes:
aiming at each first sub-teaching statistic in the first teaching statistic, determining a target evaluation range where the first sub-teaching statistic is located according to the first sub-teaching statistic and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value;
and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
In order to ensure objectivity of classroom evaluation, in the embodiment of the present application, an evaluation range corresponding to each first sub-teaching statistic is pre-configured, a preset evaluation range corresponding to the first sub-teaching statistic may be obtained for each first sub-teaching statistic in the first teaching statistic, which sub-preset evaluation range the first sub-teaching statistic belongs to is determined, the sub-preset evaluation range is determined as a target evaluation range where the first sub-teaching statistic is located, and a score corresponding to the target evaluation range is determined as a target score corresponding to the first sub-teaching statistic.
Specifically, for example, if the first sub-teaching statistic is the attendance rate, a preset evaluation range corresponding to the pre-stored attendance rate may be obtained, where the preset evaluation range includes a plurality of sub-preset evaluation ranges: [ 0%, 60% ], [ 61%, 80% ], [ 81%, 98% ] and [ 99%, 100% ], wherein a score corresponding to a sub-predetermined evaluation range [ 0%, 60% ] is 50, a score corresponding to a sub-predetermined evaluation range [ 61%, 80% ] is 80, a score corresponding to a sub-predetermined evaluation range [ 81%, 98% ] is 90, and a score corresponding to a sub-predetermined evaluation range [ 99%, 100% ] is 100. Assuming that the first sub-teaching statistic value is 96%, it may be determined that the first sub-teaching statistic value belongs to a sub-preset evaluation range of [ 81%, 98% ], the sub-preset evaluation range may be determined as a target evaluation range in which the first sub-teaching statistic value is located, and a score 90 corresponding to the target evaluation range is determined as a target score corresponding to the first sub-teaching statistic value.
After the target score corresponding to each first sub-teaching statistic is determined, a first evaluation of the inspection classroom may be determined according to each target score, specifically, a sum of each target score may be calculated, the calculated sum is determined as the first evaluation of the inspection classroom, a final score corresponding to each first teaching statistic may be determined for each target score and a weight corresponding to the first sub-teaching statistic corresponding to the target score, the sum of each final score is calculated, the sum is determined as the first evaluation of the inspection classroom, an average of each target score may be calculated, and the calculated average is determined as the first evaluation of the inspection classroom.
In order to ensure the accuracy of classroom scoring, on the basis of the foregoing embodiments, in an embodiment of the present application, the process of determining the preset evaluation range includes:
acquiring classroom videos of each teaching type of each subject, wherein the classroom videos are preset in number;
determining a second teaching statistic value of each teaching type of each subject according to multi-frame images in the classroom video, wherein the second teaching statistic value comprises at least one second sub-teaching statistic value, and the second sub-teaching statistic value comprises an average attendance rate, an average frequency of each teaching behavior and an average frequency of each learning state;
and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
Because the participation degrees of students and teachers are different in classes of different teaching types of different subjects, in the embodiment of the application, in order to ensure the accuracy of classroom evaluation, a normative rule base can be established according to the actual teaching conditions of schools, that is, different evaluation systems are generated according to different teaching types of different subjects.
In the embodiment of the application, a preset number of classroom videos of each teaching type of each subject can be acquired, wherein the subjects can be Chinese, mathematics, English, science and the like, the teaching types can be new class explanation types, classroom practice types, practice interaction types and the like, the preset number can be 10, 100, 1000 and the like, and the more the preset number is, the more the determined evaluation range is in line with the reality, and the higher the accuracy of classroom evaluation is.
In the embodiment of the application, a preset number of classroom videos can be obtained, in order to make classroom grading more practical, each classroom video of the same teaching type of the same subject can be obtained, and teaching statistics of the classroom videos are determined based on an image recognition technology according to multi-frame images in the classroom videos. And determining a second teaching statistic of the teaching type of each subject according to the teaching statistic of each classroom video, wherein the second teaching statistic comprises at least one second sub-teaching statistic, and the average value can be used for reflecting the overall level, so the second sub-teaching statistic can be the average attendance rate, the average frequency of each teaching behavior and the average frequency of each learning state, and of course, the second teaching statistic of each teaching type of each subject can be determined based on other statistical methods.
In this embodiment of the application, a corresponding weight range may be configured for each second sub-teaching statistic in advance, and after the second teaching statistic of each teaching type of each subject is determined, each preset evaluation range corresponding to each second sub-teaching statistic may be determined for each second sub-teaching statistic in the second teaching statistic according to the second sub-teaching statistic and each weight range corresponding to the teaching statistic.
Specifically, the second teaching statistic determined according to the preset number of classroom videos may be used as the standard for classroom scoring, where the scoring standard for attendance rate may be δ × C, the scoring standard for teaching behavior may be γ × B, and the scoring standard for learning status may be α × a, where A, B, C respectively represent the second sub-teaching statistic included in the second teaching statistic, and a is the average number of times that a certain learning status occurs, such as the average number of times that an action of raising hands occurs, or the average number of times that an action of playing a mobile phone occurs; b is the average frequency of a certain teaching behavior, such as the average frequency of the teacher walking up and down the platform; and C is the average attendance. δ, γ, α are respectively preset threshold values, and since each second sub-teaching statistic is counted according to several classroom videos, the value reflects the overall state, and δ, γ, α are generally regarded as 1 by default.
For ease of understanding, the process of determining the preset evaluation range is described below assuming that the preset number is 1, that is, the second teaching statistic value determined for a lesson.
For example, 12/1/2021, a class-one king teacher in a Chinese class, the class is given for 45 minutes, the attendance rate of students is X, the number of occurrences of positive behaviors of students is Y, the number of occurrences of abnormal behaviors of students is Z, and the number of occurrences of teaching behaviors is M, where the number of occurrences of positive behaviors of students is Y, and the number of occurrences of abnormal behaviors of students and the number of occurrences of teaching behaviors M are also the second sub-teaching statistical value mentioned above. The method for determining the number Y of positive behavior occurrences of the student comprises the steps of calculating the product of the number of occurrences of the hands-raising behavior and a preset weight, calculating the product of the number of occurrences of the read-write behavior and the preset weight, calculating the sum of each product, and determining the sum as the number of occurrences of the positive behavior of the student; the method for determining the number of times Z of abnormal behaviors of the student comprises the steps of calculating a product of the number of times of the table-lying behavior and a preset weight and a product of the number of times of the head-to-ear behavior and the preset weight, calculating a sum of each product, and determining the sum as the number of times of the abnormal behaviors of the student; the method for determining the number of times of occurrence of the teaching behaviors M times is determined according to the sum of the product value of the number of times of occurrence of each behavior of tour, blackboard writing, lecture and question asking times and the preset weight corresponding to each behavior.
After each second sub-teaching statistic is determined, each preset evaluation range can be determined according to each preset weight range, and specifically, the evaluation ranges shown in the following table can be obtained.
As shown in the above table, the attendance rate scoring criterion determined according to the preset number of video classes is δ C, and the preset evaluation range can be determined according to the scoring criterion, for example, when the attendance rate of the patrol class is equal to δ C, the score is 100 points; when the attendance rate of the patrol classroom is more than or equal to 0.6 delta C and less than delta C, the score is 60; when the attendance rate of the patrol classroom is less than 0.6 delta C, the score is 0.
The learning state scoring standard determined according to the preset number of video classes is alpha A, a preset evaluation range can be determined according to the scoring standard, the number of occurrences of positive behaviors of students is assumed to be Y times, the number of occurrences of abnormal behaviors of students is assumed to be Z times, the preset evaluation range can be determined according to a prestored algorithm, and when (Y/Y + Z) -alpha A is larger than or equal to 0.2, for example, the score is 100; (Y/Y + Z) - α a is equal to or greater than 0 and less than 0.2, and the score is 100 × (Y/Y + Z) × α; when (Y/Y + Z) -alpha A is less than 0, the score is 0.
The teaching behavior scoring standard determined according to the preset number of video classrooms is gamma B, and the preset evaluation range can be determined according to the scoring standard, for example, when the occurrence frequency of the teaching behavior is more than gamma B, the score is 100 points; when the occurrence frequency of the teaching behavior is more than or equal to 0.8 gamma B and less than gamma B, the score is 80 points; when the occurrence frequency of the teaching behavior is more than or equal to 0.6 gamma B and less than 0.8 gamma B, the score is 70; when the number of occurrences of the teaching action is less than γ B, the score is 60. The preset evaluation range is determined according to what algorithm, and is not limited in the embodiment of the present application.
Example 3:
in order to further ensure the accuracy of classroom evaluation, on the basis of the foregoing embodiments, in an embodiment of the present application, the method further includes:
and if a modification instruction for modifying the first evaluation is received, updating the first evaluation by using a second evaluation carried in the modification instruction and outputting the first evaluation.
To further ensure the accuracy of the classroom assessment, after the first assessment of the patrol classroom is determined, the determined first assessment may be displayed so that a user of the electronic device may view the first assessment and determine whether the first assessment is correct, and if the first assessment is deemed incorrect, may enter a modification instruction to modify the first assessment. The patrol officer can also actively score a certain scoring item, for example, the scoring item of the lecture content, which cannot be determined based on the image recognition technology, and can actively score the scoring item, that is, send a modification instruction for modifying the first evaluation to the electronic device, at this time, since the image recognition technology cannot score the scoring item, the scoring of the scoring item cannot be accurately determined, and then the scoring item can be 0 or null. The electronic device receives a modification instruction for modifying the first evaluation, and may update and output the scoring item corresponding to the first evaluation by using the second evaluation carried in the modification instruction, and confirm again by a user of the electronic device, where the scoring item may be the first sub-teaching statistic in the above embodiment, or may be another predetermined evaluation item. In addition, in order to manage classroom evaluation, in the embodiment of the present application, an evaluation instruction for the inspector to score each evaluation item may be further included in the modification instruction.
In order to facilitate management of evaluation in the future, in the embodiment of the present application, an inspector who evaluates an inspection classroom may be recorded, where the inspector is a user of the electronic device, so that the inspector can blame for evaluation of the inspection classroom to the person, when receiving a modification instruction, obtain an identifier carried in the modification instruction, and when receiving the modification instruction, output a prompt message for obtaining the identifier, and wait for the user of the electronic device to input the identifier. The identification can be the name, the job number, the ID card number, the post and the like of the patrol personnel.
Specifically, in the course of patrol, the patrol personnel can view patrol video in the patrol classroom, for example, can view pictures such as panorama of students in classroom, student close-up, teacher panorama, teacher close-up and blackboard-writing. The patrol personnel can evaluate at any time, and in order to keep the evaluation basis, the patrol personnel can also capture the patrol classroom video.
In order to further ensure the accuracy of classroom assessment, on the basis of the above embodiments, in an embodiment of the present application, the method further includes:
if a confirmation instruction that the first evaluation is correct is received, storing the first evaluation of the inspection classroom;
and if the first evaluation is in error, outputting prompt information for re-evaluation.
In order to ensure the accuracy and fairness of classroom assessment, other staff are generally required to perform auditing for classroom assessment.
If a confirmation instruction that the first evaluation is correct is received, the patroller in charge of the examination can be considered to approve the first evaluation, the first evaluation of the inspection classroom can be stored, and the patroller examining the first evaluation is recorded.
Specifically, the identity of the patrol personnel in charge of auditing can be used for recording, the identity can be carried in the confirmation instruction and sent, and when the confirmation instruction is received, prompt information for acquiring the identity can be output to wait for the user of the electronic equipment to input the identity.
If the first evaluation is in error, the patrolman in charge of the examination and verification can be considered not to recognize the first evaluation, and prompt information for re-evaluation can be output. Specifically, the prompt information for re-evaluation may be sent to the account of the inspector who evaluates the inspection classroom, and the inspector is prompted in a new message manner to re-evaluate the inspection classroom.
Before class patrol is carried out, a class patrol group can be created according to a class patrol system of a school and the identity of each class patrol member in the class patrol group is input into electronic equipment in advance, the class patrol group comprises a class patrol group leader and a plurality of class patrol members, wherein the class patrol group leader is responsible for checking whether the first evaluation is wrong, and the class patrol members are responsible for scoring the class patrol.
In order to ensure the class patrol order, before class patrol, a class patrol plan can be created, the class patrol plan is associated with a class table according to class dimension and classroom dimension, a class patrol group is associated with classes or teachers required for class patrol, namely, a classroom to be patrolled by each class patrol member is planned, and only the class patrol member in charge of patrolling the classroom can acquire the video permission of the patrol classroom.
In order to ensure the uniformity of classroom evaluation, after a class patrol group is created, a class patrol evaluation template can be imported according to the rules and regulations of school class patrol, specifically, the evaluation template can be used for a user of the electronic device to select items to be evaluated based on a displayed drop-down box, corresponding weights are used for inputting evaluation indexes of each evaluation item, each evaluation item can be identified, which evaluation items can be identified can be determined to be scored according to each first sub-teaching statistic in the first teaching statistic and a corresponding preset evaluation range, which evaluation items can be subjectively evaluated by a patrol worker, and the evaluation template can be shown in the following table:
as shown in the above table, when importing the patrol evaluation template, the user of the electronic device can select the evaluation items to be evaluated, the scoring weight of each evaluation item, and the evaluation index of each evaluation item. The evaluation items can be teaching targets, classroom organization disciplines, teacher literacy, teaching processes and the like, and corresponding evaluation indexes can be set for each evaluation item. For example, the evaluation index of the evaluation item of the teaching target can be set to reflect the concept of a new lesson mark and conform to the reality of students, and the final score cannot be determined by the evaluation index only depending on the image recognition technology, so that the class patrol personnel can actively evaluate the evaluation item; the evaluation index of the evaluation item of the class organization discipline can be set as student attendance and student concentration, in order to guarantee accuracy of classroom evaluation, the first evaluation of the patrol classroom can be determined according to the first teaching statistic value of the patrol classroom and a preset evaluation range, after the first evaluation is determined, the score of the first evaluation can be determined as the score of the class organization discipline, the score corresponding to the student attendance can be obtained from the first score, and the student concentrates on the corresponding score. After the score of each evaluation item is determined, a final score for the patrol classroom may be determined based on the weight of each evaluation item.
The following describes a video inspection process with reference to a specific embodiment, and fig. 2 is a schematic view of another video inspection process provided in the embodiment of the present application, and as shown in fig. 2, the process specifically includes the following steps:
s201: and receiving a class patrol group created by a user of the electronic equipment, a formulated class patrol plan and an imported class patrol evaluation template.
S202: and carrying out statistics based on the patrol classroom video, determining a first teaching statistic value, and determining a first evaluation according to the received modification instruction.
S203: judging whether a first error-free evaluation confirmation instruction is received, if so, executing S204; otherwise, S202 is executed.
S204: and storing the first evaluation of the patrol classroom.
Example 4:
fig. 3 is a schematic structural diagram of a video inspection apparatus according to an embodiment of the present application, and as shown in fig. 3, the apparatus includes:
a receiving module 301, configured to receive a patrol instruction, where the patrol instruction carries patrol time and patrol location;
an obtaining module 302, configured to obtain a patrol classroom video including the patrol time, which is collected by an image collection device installed in the patrol location;
a determining module 303, configured to determine a first teaching statistic in the patrol classroom according to the multi-frame images in the patrol classroom video, where the first teaching statistic includes at least one first sub-teaching statistic, and the first sub-teaching statistic includes: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state; and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In a possible implementation manner, the determining module 303 is specifically configured to determine, for each first sub-teaching statistical value in the first teaching statistical values, a target evaluation range in which the first sub-teaching statistical value is located according to the first sub-teaching statistical value and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value; and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
In a possible implementation manner, the obtaining module 302 is specifically configured to obtain a preset number of classroom videos of each lecture type of each subject;
the determining module 303 is specifically configured to determine, according to multiple frames of images in the classroom video, a second teaching statistic for each teaching type of each subject, where the second teaching statistic includes at least one second sub-teaching statistic, and the second sub-teaching statistic includes an average attendance rate, an average number of times of occurrence of each teaching behavior, and an average number of times of occurrence of each learning state; and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
In a possible implementation manner, the determining module 303 is further configured to update and output the first evaluation by using a second evaluation carried in a modification instruction if the modification instruction for modifying the first evaluation is received.
In a possible implementation manner, the determining module 303 is further configured to save the first evaluation of the patrol classroom if a confirmation instruction that the first evaluation is correct is received; and if a confirmation instruction that the first evaluation is wrong is received, outputting prompt information for carrying out evaluation again.
In the embodiment of the present application, fig. 4 is a schematic structural diagram of another video inspection apparatus provided in the embodiment of the present application, as shown in fig. 4:
the device comprises a patrol group management module 401, a video preview module 402, a data analysis and statistics module 403, a patrol report module 404 and a patrol user module 405.
The patrol group management module 401 is configured to create a patrol group, a patrol plan, and import a patrol evaluation template.
The video previewing module 402 is configured to obtain a patrol classroom video, which is convenient for a patrol officer to view the patrol classroom video of the patrol classroom, for example, pictures such as panorama of students in a classroom, close-up of students, panorama of teachers, close-up of teachers, and blackboard-writing can be viewed, and this function of this part is consistent with the corresponding function of the determining module 303 in fig. 3.
The data analysis and statistics module 403 is configured to receive the patrol instruction, and determine a first evaluation of the patrol classroom according to the patrol time and the patrol location carried in the patrol instruction, where the function of the part is consistent with the corresponding function of the determination module 303 in fig. 3.
And the patrol report module 404 is used for saving and inquiring the first evaluation of the patrol classroom.
The patrol user module 405 is configured to receive prompt information, such as a new message to re-score the patrol class.
Example 5:
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and on the basis of the foregoing embodiments, the present application further provides an electronic device, as shown in fig. 5, including: the system comprises a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 are communicated with each other through the communication bus 504;
the memory 503 has stored therein a computer program which, when executed by the processor 501, causes the processor 501 to perform the steps of:
receiving a patrol instruction, wherein the patrol instruction carries patrol time and patrol place;
acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time; determining a first teaching statistic value in the patrol classroom according to the multi-frame images in the patrol classroom video, wherein the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state;
and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In a possible implementation manner, the determining, according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range, the first evaluation of the patrol classroom includes:
aiming at each first sub-teaching statistic in the first teaching statistic, determining a target evaluation range where the first sub-teaching statistic is located according to the first sub-teaching statistic and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value;
and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
In a possible embodiment, the process of determining the preset evaluation range includes:
acquiring classroom videos of each teaching type of each subject, wherein the classroom videos are preset in number;
determining a second teaching statistic value of each teaching type of each subject according to multi-frame images in the classroom video, wherein the second teaching statistic value comprises at least one second sub-teaching statistic value, and the second sub-teaching statistic value comprises an average attendance rate, an average frequency of each teaching behavior and an average frequency of each learning state;
and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
In one possible embodiment, the method further comprises:
and if a modification instruction for modifying the first evaluation is received, updating the first evaluation by using a second evaluation carried in the modification instruction and outputting the first evaluation.
In one possible embodiment, the method further comprises:
if a confirmation instruction that the first evaluation is correct is received, storing the first evaluation of the inspection classroom;
and if a confirmation instruction that the first evaluation is wrong is received, outputting prompt information for carrying out evaluation again.
Because the principle of the electronic device for solving the problem is similar to that of the video patrol method, the implementation of the electronic device may refer to the above embodiment, and repeated details are not repeated.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface 502 is used for communication between the above-described electronic apparatus and other apparatuses. The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor. The Processor may be a general-purpose Processor, including a central processing unit, a Network Processor (NP), and the like; but may also be a Digital instruction processor (DSP), an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like.
Example 6:
on the basis of the foregoing embodiments, the present application further provides a computer-readable storage medium, in which a computer program executable by a processor is stored, and when the program is run on the processor, the processor is caused to execute the following steps:
receiving a patrol instruction, wherein the patrol instruction carries patrol time and patrol place;
acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time; determining a first teaching statistic value in the patrol classroom according to the multi-frame images in the patrol classroom video, wherein the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state;
and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
In a possible implementation manner, the determining, according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range, the first evaluation of the patrol classroom includes:
aiming at each first sub-teaching statistic in the first teaching statistic, determining a target evaluation range where the first sub-teaching statistic is located according to the first sub-teaching statistic and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value;
and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
In a possible embodiment, the process of determining the preset evaluation range includes:
acquiring classroom videos of each teaching type of each subject, wherein the classroom videos are preset in number;
determining a second teaching statistic value of each teaching type of each subject according to multi-frame images in the classroom video, wherein the second teaching statistic value comprises at least one second sub-teaching statistic value, and the second sub-teaching statistic value comprises an average attendance rate, an average frequency of each teaching behavior and an average frequency of each learning state;
and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
In one possible embodiment, the method further comprises:
and if a modification instruction for modifying the first evaluation is received, updating the first evaluation by using a second evaluation carried in the modification instruction and outputting the first evaluation.
In one possible embodiment, the method further comprises:
if a confirmation instruction that the first evaluation is correct is received, storing the first evaluation of the inspection classroom;
and if the first evaluation is in error, outputting prompt information for re-evaluation.
Since the principle of the computer readable medium for solving the problem is similar to that of the video patrol method, after the processor executes the computer program in the computer readable medium, the steps implemented by the processor can be referred to the above embodiments, and repeated details are not repeated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
For the system/apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (12)
1. A video inspection method, the method comprising:
receiving a patrol instruction, wherein the patrol instruction carries patrol time and patrol place;
acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time; determining a first teaching statistic value in the patrol classroom according to the multi-frame images in the patrol classroom video, wherein the first teaching statistic value comprises at least one first sub-teaching statistic value, and the first sub-teaching statistic value comprises: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state;
and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
2. The method of claim 1, wherein said determining a first rating for the patrol classroom based on each of the first tutorial statistics and the corresponding preset rating range comprises:
aiming at each first sub-teaching statistic in the first teaching statistic, determining a target evaluation range where the first sub-teaching statistic is located according to the first sub-teaching statistic and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value;
and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
3. The method of claim 2, wherein determining the preset evaluation range comprises:
acquiring classroom videos of each teaching type of each subject, wherein the classroom videos are preset in number;
determining a second teaching statistic value of each teaching type of each subject according to multi-frame images in the classroom video, wherein the second teaching statistic value comprises at least one second sub-teaching statistic value, and the second sub-teaching statistic value comprises an average attendance rate, an average frequency of each teaching behavior and an average frequency of each learning state;
and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
4. The method of claim 1, wherein the method further comprises:
and if a modification instruction for modifying the first evaluation is received, updating the first evaluation by using a second evaluation carried in the modification instruction and outputting the first evaluation.
5. The method of claim 1, wherein the method further comprises:
if a confirmation instruction that the first evaluation is correct is received, storing the first evaluation of the inspection classroom;
and if the first evaluation is in error, outputting prompt information for re-evaluation.
6. A video patrol apparatus, said apparatus comprising:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving a patrol instruction, and the patrol instruction carries patrol time and patrol places;
the acquisition module is used for acquiring patrol classroom videos which are acquired by image acquisition equipment installed in the patrol place and contain the patrol time;
a determining module, configured to determine a first teaching statistic in the patrol classroom according to the multi-frame images in the patrol classroom video, where the first teaching statistic includes at least one first sub-teaching statistic, and the first sub-teaching statistic includes: attendance, the number of occurrences of each teaching action and the number of occurrences of each learning state; and determining the first evaluation of the inspection classroom according to each first sub-teaching statistic in the first teaching statistic and the corresponding preset evaluation range.
7. The apparatus of claim 6, wherein the determining module is specifically configured to determine, for each first sub-teaching statistic in the first teaching statistic, a target evaluation range in which the first sub-teaching statistic is located according to the first sub-teaching statistic and a corresponding preset evaluation range; determining the score corresponding to the target evaluation range as a target score corresponding to the first sub-teaching statistic value; and determining the first evaluation of the inspection classroom according to the target score corresponding to each first sub-teaching statistic value.
8. The apparatus according to claim 7, wherein the obtaining module is specifically configured to obtain a preset number of classroom videos for each lecture type of each subject;
the determining module is specifically configured to determine a second teaching statistic for each teaching type of each subject according to multiple frames of images in the classroom video, where the second teaching statistic includes at least one second sub-teaching statistic, and the second sub-teaching statistic includes an average attendance rate, an average number of times of occurrence of each teaching behavior, and an average number of times of occurrence of each learning state; and aiming at each second sub-teaching statistic value in the second teaching statistic values, determining each preset evaluation range corresponding to the second sub-teaching statistic value according to the second sub-teaching statistic value and each corresponding weight range.
9. The apparatus of claim 6, wherein the determining module is further configured to update and output the first evaluation by using a second evaluation carried in a modification instruction if the modification instruction for modifying the first evaluation is received.
10. The apparatus of claim 6, wherein the determining module is further configured to save the first assessment of the patrol classroom if a confirmation instruction that the first assessment is error-free is received; and if the first evaluation is in error, outputting prompt information for re-evaluation.
11. An electronic device, characterized in that the electronic device comprises at least a processor and a memory, the processor being adapted to carry out the steps of the video patrol method according to any one of claims 1-5 when executing a computer program stored in the memory.
12. A computer-readable storage medium, characterized in that it stores a computer program which, when being executed by a processor, carries out the steps of the video patrol method according to any one of claims 1-5.
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