Online safety education management method and system
By identifying and analyzing the learning behavior of target objects in online safety education, generating test templates and evaluating learning results, the problem of poor learning results caused by inattention in online learning is solved, and the management efficiency and accuracy of learning results are improved.
Patent Information
- Application Number
- CN202411968165.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-04
AI Technical Summary
In online safety education, the target object is prone to missed listening to learning content due to inattention or other slack factors, resulting in unsatisfactory learning results.
By obtaining the real-time picture of the target object learning process, identifying the learning behavior, determining the time interval of each learning behavior, and mapping it to the learning clip time line of the learning video, generating a test template for the target object, and determining the learning results based on the test results.
Accurate judgment of the learning results of the target object is achieved, and the efficiency and accuracy of learning results management of online learning is improved.
Smart Images
Figure CN119762305A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of online education, and in particular to an online safety education management method and system. Background Art
[0002] As online education becomes more popular, various types of online learning software are emerging, such as cargo transportation safety education software. However, when drivers or employees learn online through online learning software, they are prone to miss some learning content during the learning process due to lack of concentration or other laziness factors, resulting in unsatisfactory learning results. Summary of the invention
[0003] The present invention provides an online safety education management method and system to solve the problems in related technologies.
[0004] The first aspect of the present disclosure provides an online safety education management method, the method comprising: Acquire a real-time picture of a target object learning a target safety education video; the real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video, and the target safety education video includes at least one learning segment; identifying learning behaviors in the real-time picture, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determining a time interval of each of the first learning behaviors; Map the time interval of each of the first learning behaviors to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment; the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video, and the target learning segment refers to a learning segment in which the first learning behavior exists in the time interval of the learning segment; Generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; Based on the test result of the target object on the target test template, the learning result of the target object is determined.
[0005] In some embodiments of the present disclosure, mapping the time interval of each first learning behavior to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment includes: Traversing each of the first learning behaviors, mapping the start time and the end time in the time interval of the currently traversed first learning behavior to the learning segment timeline, and determining at least one target learning segment associated with the currently traversed first learning behavior; Based on the start time and the end time in the time interval of the first learning behavior currently traversed, and the start time and the end time in the time interval of each target learning segment associated with the first learning behavior currently traversed, the traversal result of the first learning behavior currently traversed is obtained; the traversal result of the first learning behavior currently traversed refers to the duration of the first learning behavior currently traversed contained in each target learning segment associated with the first learning behavior currently traversed; Based on the traversal result of each first learning behavior, the duration of the first learning behavior contained in the same target learning segment is added to obtain the duration of the first learning behavior corresponding to each target learning segment.
[0006] In some embodiments of the present disclosure, generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments includes: Based on the duration of the first learning behavior corresponding to each of the target learning segments, first target learning segments whose duration of the first learning behavior is greater than a preset duration threshold are screened out from the target learning segments; Based on the duration of the first learning behavior corresponding to each of the first target learning segments, a target test template corresponding to the target object is generated.
[0007] In some embodiments of the present disclosure, generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each first target learning segment includes: Determining the duration of each of the first learning behaviors based on the time interval of each of the first learning behaviors; Adding up the durations of all the first learning behaviors to obtain a total duration of the first learning behavior; Compare the duration of the first learning behavior corresponding to each of the first target learning segments with the total duration of the first learning behavior to obtain a test weight of each of the first target learning segments; Multiplying the test weight of each of the first target learning segments by the first number of test questions included in a preset test template to obtain a second number of target test questions corresponding to each of the first target learning segments in the target test template; A corresponding second number of test questions are randomly selected from the preset test questions corresponding to each of the first target learning segments in the preset test question bank to generate a target test template corresponding to the target object.
[0008] In some embodiments of the present disclosure, determining the learning result of the target object based on the test result of the target object on the test template includes: Acquire at least one first test template of other objects whose test results are qualified in the historical test data; Determine the total score of the test questions corresponding to the target learning segment in all the first test templates, and the total score of the other subjects in the test questions corresponding to the target learning segment; Based on the total scores of the test questions corresponding to the target learning segment in all the first test templates and the total scores of the other subjects in the test questions corresponding to the target learning segment, obtaining the score proportion of the target learning segment when the test result is qualified; Determining a score ratio of the target object based on a test result of the target object on the test template; If the score ratio is not less than the expected score ratio, the learning result of the target object is determined to be qualified; or, if the score ratio is less than the expected score ratio, the learning result of the target object is determined to be unqualified.
[0009] In some embodiments of the present disclosure, before obtaining the real-time picture of the target object learning the target safety education video, the online safety education management method provided in the first aspect of the present disclosure further includes: Get the object ID of the target object; Based on the object identifier, a learning process of the target object is determined; the learning process is used to indicate a target safety education video that the target object should currently learn.
[0010] In some embodiments of the present disclosure, if the learning result of the target object is qualified, the learning process of the target object is updated to the next safety education video of the target safety education video; If the learning result of the target object is unqualified, the learning process of the target object is updated to the target safety education video.
[0011] A second aspect of the present disclosure provides an online safety education management system, the system comprising a server; The server comprises: An acquisition unit, used to acquire a real-time picture of a target object in the process of learning a target safety education video; the real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video, and the target safety education video contains at least one learning segment; an identification unit, configured to identify learning behaviors in the real-time picture, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determine a time interval of each of the first learning behaviors; A duration determination unit, used for mapping the time interval of each of the first learning behaviors to the learning segment timeline of the target safety education video, to obtain the duration of the first learning behavior corresponding to each target learning segment; the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video, and the target learning segment refers to a learning segment in which the first learning behavior exists in the time interval of the learning segment; A test template generating unit, configured to generate a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; A learning result testing unit is used to determine the learning result of the target object based on the test result of the target object on the target test template.
[0012] In some embodiments of the present disclosure, the system further includes a terminal; The terminal carries a client, and the client is used to enable the target learning object to establish a communication connection with the server through the client.
[0013] In some embodiments of the present disclosure, the terminal includes a collection device; The acquisition device is used to acquire real-time images of the target object during the process of learning the target safety education video; The terminal is also used to transmit the real-time image to the acquisition unit of the server through the client.
[0014] In summary, the online safety education management method and system provided by the embodiments of the present disclosure identify the learning behavior of the target object in the real-time screen during the learning process, identify the time interval of the first learning behavior of the target object; and then determine the duration of the first learning behavior in the target learning segment according to the first learning behavior interval; finally, based on the duration of the first learning behavior corresponding to the target learning segment, generate a target test template corresponding to the target object, and determine the learning result of the target object based on the test result of the target object on the target test template; thereby achieving accurate judgment of the learning result of the target object, and thereby improving the efficiency and accuracy of learning result management of online learning.
[0015] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description are used to explain the principles of the present disclosure, and do not constitute improper limitations on the present disclosure.
[0017] Figure 1 A flowchart of an online safety education management method provided by an embodiment of the present disclosure; Figure 2 A flowchart of another online safety education management method provided by an embodiment of the present disclosure; Figure 3 A flowchart of another online safety education management method provided by an embodiment of the present disclosure; Figure 4 A flowchart of another online safety education management method provided by an embodiment of the present disclosure; Figure 5 A schematic diagram of the structure of an online safety education management system provided for the application example of the present disclosure. DETAILED DESCRIPTION
[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0019] In order to address the defects in the related technology, the embodiments of the present disclosure provide an online safety education management method and system, which identifies the time interval of the first learning behavior of the target object by identifying the learning behavior of the target object in the real-time picture during the learning process; then determines the duration of the first learning behavior in the target learning segment according to the first learning behavior interval; finally, generates a target test template corresponding to the target object according to the duration of the first learning behavior corresponding to the target learning segment, and determines the learning result of the target object based on the test result of the target object on the target test template; thereby achieving accurate judgment of the learning result of the target object, thereby improving the efficiency and accuracy of learning result management of online learning.
[0020] The present disclosure is further described in detail below with reference to the accompanying drawings and specific embodiments.
[0021] like Figure 1 As shown, Figure 1 A flowchart of an online safety education management method provided by an embodiment of the present disclosure. The online safety education management method provided by an embodiment of the present disclosure includes the following steps: Step 101, obtaining a real-time picture of the target object learning the target safety education video; In one embodiment, the target object may be a driver or employee who is learning a safety education video; the real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video; wherein the real-time picture may be collected by a camera device of a terminal device used by the target object to learn the target safety education video, and the terminal device may be a computer, a tablet computer, a smart phone or other wearable smart device. The target safety education video may be displayed on the display screen of the terminal device.
[0022] In one embodiment, the target safety education video includes at least one learning segment; the at least one learning segment may exist in the form of multiple independent safety education sub-videos, or may be spliced into an independent safety education video.
[0023] In one embodiment, before obtaining the real-time picture of the target object learning the target safety education video, the online safety education management method further includes: Get the object ID of the target object; Based on the object identifier, a learning process of the target object is determined; the learning process is used to indicate a target safety education video that the target object should currently learn.
[0024] In one embodiment, each learning process of the target object is stored in the memory. When the target object performs online safety education management learning, the learning process of the target object can be determined according to the object identifier of the target object.
[0025] Step 102, identifying learning behaviors in the real-time image, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determining a time interval of each of the first learning behaviors; In one embodiment, a pre-trained behavior recognition network can be used to identify the learning behavior in the real-time picture. For example, a large number of data samples containing the first learning behavior and a large number of data samples not containing the first learning behavior can be used to train the behavior recognition network. Then the pre-trained behavior recognition network is used to identify the learning behavior in the real-time picture, and finally the time interval of each first learning behavior is obtained. The time interval of the first learning behavior includes the start time and the end time in the time interval of the first learning behavior. The first learning behavior includes behaviors such as incorrect sitting posture and eye deviation.
[0026] Step 103, mapping the time interval of each first learning behavior to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment; In one embodiment, the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video; for example, the start time of the target safety education video is time 0, and then the time interval of each learning segment in the target safety education video is characterized based on this time 0; the target learning segment refers to a learning segment in which a first learning behavior exists in the time interval of the learning segment.
[0027] Step 104, generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; In one embodiment, if the duration of the first learning behavior corresponding to the target learning segment is longer, it means that the target object has missed more learning content in the process of learning the target learning segment. Therefore, the proportion of test questions corresponding to the target learning segment in the target test template should also be increased accordingly.
[0028] Step 105: Determine the learning result of the target object based on the test result of the target object on the target test template.
[0029] In summary, the online safety education management method provided by the embodiment of the present disclosure identifies the time interval of the first learning behavior of the target object by identifying the learning behavior of the target object in the real-time picture during the learning process; and then determines the duration of the first learning behavior in the target learning segment according to the first learning behavior interval; finally, based on the duration of the first learning behavior corresponding to the target learning segment, generates a target test template corresponding to the target object, and determines the learning result of the target object based on the test result of the target object on the target test template; thereby achieving accurate judgment of the learning result of the target object, and thus improving the efficiency and accuracy of learning result management of online learning.
[0030] In one embodiment, if Figure 2 As shown, step 103 includes: Step 201, traversing each of the first learning behaviors, mapping the start time and the end time in the time interval of the currently traversed first learning behavior to the learning segment timeline, and determining at least one target learning segment associated with the currently traversed first learning behavior; In one embodiment, if the time interval of the first learning behavior currently traversed overlaps with the learning segment timeline, it means that the corresponding learning segment is associated with the first learning behavior currently traversed, that is, it is the target learning segment.
[0031] Step 202, based on the start time and end time in the time interval of the first learning behavior currently traversed, and the start time and end time in the time interval of each target learning segment associated with the first learning behavior currently traversed, obtain the traversal result of the first learning behavior currently traversed; In one embodiment, the traversal result of the currently traversed first learning behavior refers to the duration of the currently traversed first learning behavior contained in each target learning segment associated with the currently traversed first learning behavior.
[0032] Step 203: based on the traversal result of each first learning behavior, the duration of the first learning behavior contained in the same target learning segment is added to obtain the duration of the first learning behavior corresponding to each target learning segment.
[0033] In one embodiment, by mapping the start time and the end time in the time interval of the currently traversed first learning behavior to the learning segment timeline, the duration of the currently traversed first learning behavior contained in each target learning segment associated with the currently traversed first learning behavior can be quickly and accurately obtained, and then the duration of the first learning behavior corresponding to each target learning segment can be obtained, providing an accurate reference basis for the generation of the target test template.
[0034] In one embodiment, step 104 includes: Based on the duration of the first learning behavior corresponding to each of the target learning segments, first target learning segments whose duration of the first learning behavior is greater than a preset duration threshold are screened out from the target learning segments; Based on the duration of the first learning behavior corresponding to each of the first target learning segments, a target test template corresponding to the target object is generated.
[0035] In step 102, if the duration of the first learning behavior of the target object corresponding to the target learning segment is short, such as only a few seconds or more than ten seconds, it usually does not affect the learning effect of the target object on the target learning object. Therefore, setting a preset duration threshold can effectively improve the accuracy of the generated target test template, thereby improving the accuracy of the judgment of the learning result of the target object.
[0036] In one embodiment, if Figure 3 As shown, the generating of the target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each first target learning segment includes: Step 301, determining the duration of each of the first learning behaviors based on the time interval of each of the first learning behaviors; In one embodiment, the duration of the corresponding first learning behavior can be obtained by subtracting the end time from the start time in the time interval of the first learning behavior.
[0037] Step 302, summing up the durations of all the first learning behaviors to obtain a total duration of the first learning behaviors; Step 303, comparing the duration of the first learning behavior corresponding to each of the first target learning segments with the total duration of the first learning behavior to obtain a test weight of each of the first target learning segments; Step 304, multiplying the test weight of each of the first target learning segments by the first number of test questions included in the preset test template to obtain a second number of target test questions corresponding to each of the first target learning segments in the target test template; In one embodiment, the first number of test questions included in the preset test template may be one hundred, wherein if the score of each test question is one point, the total score of the preset test template is one hundred points.
[0038] Step 305: randomly extract a corresponding second number of test questions from the preset test questions corresponding to each of the first target learning segments in the preset test question bank to generate a target test template corresponding to the target object.
[0039] In one embodiment, there are multiple preset test questions corresponding to each learning segment.
[0040] In one embodiment, by determining the test weight of each of the first target learning segments, the second number of test questions in the first target learning segment in the target test template is associated with the duration of the corresponding first learning behavior, thereby further improving the accuracy of the target object learning results.
[0041] In one embodiment, if Figure 4 As shown, step 105 includes: Step 401, obtaining at least one first test template of other objects with qualified test results in historical test data; Step 402, determining the total scores of the test questions corresponding to the target learning segment in all first test templates, and the total scores of the other subjects in the test questions corresponding to the target learning segment; Step 403, based on the total scores of the test questions corresponding to the target learning segment in all the first test templates and the total scores of the other subjects in the test questions corresponding to the target learning segment, obtain the score proportion of the target learning segment when the test result is qualified; In one embodiment, the total scores of other subjects in the test questions corresponding to the target learning segment are compared with the total scores of the test questions corresponding to the target learning segment in all the first test templates to obtain the score ratio of the target learning segment when the test result is qualified.
[0042] Step 404, determining the score proportion of the target object based on the test result of the target object on the target test template; In one embodiment, the score of the target object for the test template is compared with the total score of the target test template to determine the score proportion of the target object.
[0043] Step 405: if the score ratio is not less than the expected score ratio, the learning result of the target object is determined to be qualified; or if the score ratio is less than the expected score ratio, the learning result of the target object is determined to be unqualified.
[0044] In one embodiment, by utilizing the percentage of the score that the target learning segment should score when the test result obtained from historical test data is qualified, the percentage of the score that the target object should score can be accurately and objectively determined, and then based on the percentage of the score that is expected, the learning result of the target object can be determined, further improving the accuracy and objectivity of the judgment of the learning result of the target object.
[0045] In one embodiment, if the learning result of the target object is qualified, the learning process of the target object is updated to the next safety education video of the target safety education video; if the learning result of the target object is unqualified, the learning process of the target object is updated to the target safety education video.
[0046] In one embodiment, if the target object's learning result is qualified, it indicates that the target object can learn the next safety education video of the target safety education video. If the target object's learning result is unqualified, it indicates that the target object needs to re-learn the target safety education video.
[0047] In order to implement the online safety education management method provided by the embodiment of the present disclosure, the embodiment of the present disclosure also provides an online safety education management system. Figure 5 As shown, Figure 5 This is a schematic diagram of the structure of an online safety education management system provided in an embodiment of the present disclosure. The online safety education management system 500 includes a server 501: The server 501 includes: The acquisition unit 5011 is used to acquire a real-time picture of the target object in the process of learning the target safety education video; the real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video, and the target safety education video contains at least one learning segment; an identification unit 5012, configured to identify learning behaviors in the real-time picture, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determine a time interval of each of the first learning behaviors; The duration determination unit 5013 is used to map the time interval of each of the first learning behaviors to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment; the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video, and the target learning segment refers to the learning segment in which the first learning behavior exists in the time interval of the learning segment; A test template generating unit 5014, configured to generate a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; The learning result testing unit 5015 is used to determine the learning result of the target object based on the test result of the target object on the target test template.
[0048] In one embodiment, the online safety education management system 500 further includes a terminal 502; The terminal carries a client, and the client is used to enable the target learning object to establish a communication connection with the server through the client.
[0049] In one embodiment, terminal 502 can respond to the trigger operation of the target object on the touch screen of the terminal to open the client; the client will display the login interface on the display screen of terminal 502, and the target object can log in to the client by inputting the login information such as account and password through input operation to achieve communication with server 501; wherein, the account of the target object is associated with the object identifier of the target object, and the server can obtain the object identifier of the target object by parsing the account of the target object, and then display the target safety education video for the target object on the display screen of terminal 502.
[0050] In one embodiment, the terminal 502 includes a collection device; The acquisition device is used to acquire real-time images of the target object during the process of learning the target safety education video; The terminal is also used to transmit the real-time image to the acquisition unit of the server through the client.
[0051] In one embodiment, the acquisition device may be a camera device of the terminal 502 , such as a front camera of the terminal 502 .
[0052] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. An online safety education management method, characterized in that: include: Obtain real-time images of the target object while learning the target safety education video; The real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video, and the target safety education video includes at least one learning segment; identifying learning behaviors in the real-time picture, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determining a time interval of each of the first learning behaviors; Map the time interval of each of the first learning behaviors to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment; the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video, and the target learning segment refers to a learning segment in which the first learning behavior exists in the time interval of the learning segment; Generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; Based on the test result of the target object on the target test template, the learning result of the target object is determined.
2. The method according to claim 1, characterized in that Mapping the time interval of each first learning behavior to the learning segment timeline of the target safety education video to obtain the duration of the first learning behavior corresponding to each target learning segment includes: Traversing each of the first learning behaviors, mapping the start time and the end time in the time interval of the currently traversed first learning behavior to the learning segment timeline, and determining at least one target learning segment associated with the currently traversed first learning behavior; Based on the start time and the end time in the time interval of the first learning behavior currently traversed, and the start time and the end time in the time interval of each target learning segment associated with the first learning behavior currently traversed, the traversal result of the first learning behavior currently traversed is obtained; the traversal result of the first learning behavior currently traversed refers to the duration of the first learning behavior currently traversed contained in each target learning segment associated with the first learning behavior currently traversed; Based on the traversal result of each first learning behavior, the duration of the first learning behavior contained in the same target learning segment is added to obtain the duration of the first learning behavior corresponding to each target learning segment.
3. The method according to claim 1, characterized in that The generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments includes: Based on the duration of the first learning behavior corresponding to each of the target learning segments, first target learning segments whose duration of the first learning behavior is greater than a preset duration threshold are screened out from the target learning segments; Based on the duration of the first learning behavior corresponding to each of the first target learning segments, a target test template corresponding to the target object is generated.
4. The method according to claim 3, characterized in that The generating a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the first target learning segments includes: Determining the duration of each of the first learning behaviors based on the time interval of each of the first learning behaviors; Adding up the durations of all the first learning behaviors to obtain a total duration of the first learning behavior; Compare the duration of the first learning behavior corresponding to each of the first target learning segments with the total duration of the first learning behavior to obtain a test weight of each of the first target learning segments; Multiplying the test weight of each of the first target learning segments by the first number of test questions included in a preset test template to obtain a second number of target test questions corresponding to each of the first target learning segments in the target test template; A corresponding second number of test questions are randomly selected from the preset test questions corresponding to each of the first target learning segments in the preset test question bank to generate a target test template corresponding to the target object.
5. The method according to claim 1, characterized in that The determining the learning result of the target object based on the test result of the target object on the test template includes: Acquire at least one first test template of other objects whose test results are qualified in the historical test data; Determine the total score of the test questions corresponding to the target learning segment in all the first test templates, and the total score of the other subjects in the test questions corresponding to the target learning segment; Based on the total scores of the test questions corresponding to the target learning segment in all the first test templates and the total scores of the other subjects in the test questions corresponding to the target learning segment, obtaining the score proportion of the target learning segment when the test result is qualified; Determining a score ratio of the target object based on a test result of the target object on the target test template; If the score ratio is not less than the expected score ratio, the learning result of the target object is determined to be qualified; or, if the score ratio is less than the expected score ratio, the learning result of the target object is determined to be unqualified.
6. The method according to claim 5, characterized in that Before obtaining the real-time picture of the target object learning the target safety education video, the method further includes: Get the object ID of the target object; Based on the object identifier, a learning process of the target object is determined; the learning process is used to indicate a target safety education video that the target object should currently learn.
7. The method according to claim 6, characterized in that If the learning result of the target object is qualified, updating the learning process of the target object to the next safety education video of the target safety education video; If the learning result of the target object is unqualified, the learning process of the target object is updated to the target safety education video.
8. An online safety education management system, characterized in that: Includes server: The server comprises: An acquisition unit, used to acquire a real-time picture of a target object in the process of learning a target safety education video; the real-time picture is used to indicate the learning behavior of the target object in the process of learning the target safety education video, and the target safety education video contains at least one learning segment; an identification unit, configured to identify learning behaviors in the real-time picture, and in response to at least one learning behavior among the learning behaviors belonging to a first learning behavior, determine a time interval of each of the first learning behaviors; A duration determination unit, used for mapping the time interval of each of the first learning behaviors to the learning segment timeline of the target safety education video, to obtain the duration of the first learning behavior corresponding to each target learning segment; the learning segment timeline is used to indicate the time interval of each learning segment in the target safety education video, and the target learning segment refers to a learning segment in which the first learning behavior exists in the time interval of the learning segment; A test template generating unit, configured to generate a target test template corresponding to the target object based on the duration of the first learning behavior corresponding to each of the target learning segments; A learning result testing unit is used to determine the learning result of the target object based on the test result of the target object on the target test template.
9. The system according to claim 8, characterized in that The system also includes a terminal; The terminal carries a client, and the client is used to enable the target learning object to establish a communication connection with the server through the client.
10. The system according to claim 9, characterized in that The terminal includes a collection device; The acquisition device is used to acquire real-time images of the target object during the process of learning the target safety education video; The terminal is also used to transmit the real-time image to the acquisition unit of the server through the client.