CN115641234B - Remote education system based on big data - Google Patents
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Abstract
The invention discloses a remote education system based on big data, which relates to the technical field of remote education, wherein all audience objects and audience environment information participating in the remote education are acquired through an object acquisition unit, and then the audience objects and the audience environment information are fused to form sign-in standard information according to regional binding; the check-in unit is further used for punching cards of any audience object when the remote education is carried out, the real-time card punching picture comprising the face of the audience object and the set card punching position is required to be uploaded when the audience object is punched, and the real-time card punching picture is subjected to card punching judgment, so that the position of the user participating in the study is fixed; meanwhile, a real-time representation picture of all audience objects in online class is acquired through a limited acquisition unit in remote education, marked as an online picture, and then limited analysis is carried out on the online picture by using a limited analysis unit, so that the privacy of the participants is avoided when the users participate in non-educational matters.
Description
Technical Field
The invention belongs to the technical field of remote education, and particularly relates to a remote education system based on big data.
Background
The patent with the publication number of CN206058583U discloses a network remote education system, which comprises an Internet, an information system, a remote education system, a courseware making system and a receiving education unit, wherein the information system is connected with the Internet, a database server, an application server, a release server, a switch and a monitor are arranged in the information system, the database server, the application server and the release server are connected with the switch, the switch is connected with the monitor, the remote education system is connected with the Internet, a host is arranged in the remote education system, the courseware making system is connected with the Internet, a database is arranged in the courseware making system, and the receiving education unit is connected with the Internet; the network remote education system has the advantages of high efficiency, convenience in communication and rich resources.
However, in the case of the distance education system and some of the distance education systems disclosed in the prior art, there is a disadvantage in that, first, there is a lack of a way to effectively lock the learning position of the user, and also there is a lack of a way to effectively lock the learning position of the user, and because of the distance education, real-time matters of all participants are not controllable, and at the same time, the participants may present some inappropriately appearing pictures when they are not involved in learning or some other matters are handled temporarily, causing partial privacy leakage of the participants, and there is a lack of a technology capable of protecting well, based on which a solution is provided.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a remote education system based on big data.
To achieve the above object, an embodiment according to a first aspect of the present invention provides a big data based distance education system including:
The object acquisition unit is used for acquiring all audience objects and audience environment information which participate in remote education, the object acquisition unit is used for transmitting the audience objects and the audience environment information to the area locking unit, the area locking unit receives the audience objects and the audience environment information transmitted by the object acquisition unit, area binding is carried out, and the audience objects and the audience environment information are fused to form sign-in standard information;
the region locking unit is used for transmitting the sign-in standard information to the sign-in unit for storage;
The sign-in unit is also used for punching cards of any audience object when the remote education is carried out, the real-time card punching picture containing the face of the audience object and the set card punching position is required to be uploaded when the audience object is punched, the real-time card punching picture is subjected to card punching judgment, and the specific mode of card punching judgment is as follows:
step one: acquiring a real-time card punching picture;
Step two: firstly, acquiring a face part in a real-time card punching picture, matching the face part with an audience object of sign-in standard information according to face recognition, automatically acquiring audience environment information of the corresponding audience object if matching is consistent, otherwise, not processing and refusing the corresponding personnel to continuously participate in accessing remote education;
Step three: then deleting all the body parts belonging to the audience object in the real-time card punching picture, wherein the body parts comprise the head and the rest body parts, and marking the filtered real-time card punching picture as a background picture;
Step four: comparing the background picture with the audience environment information to obtain the area of the similar part of the background picture and the audience environment information, wherein the area accounts for the total area of the audience environment information, and marking the obtained proportion as a sign-in duty ratio; when the sign-in duty ratio exceeds X1, a sign-in success signal is generated, otherwise, a sign-in failure signal is generated, and a real-time card punching picture is required to be uploaded again for the corresponding audience object; x1 is a preset value;
Step five: when a sign-in success signal is generated, automatically acquiring a sign-in duty ratio, and if the sign-in duty ratio exceeds an X1 value which is 1.06 times, automatically acquiring a part which is different from the background picture in the environment information of the audience at the moment, and marking the part as a difference label;
Step six: after the difference targets in the audience environment information are removed, the audience environment information is updated;
step seven: rebinding the updated audience environment information and the corresponding audience object to obtain updated sign-in standard information;
the check-in unit automatically forms a check-in record after generating a check-in success signal and transmits the check-in record to the processor.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, all audience objects and audience environment information participating in remote education are acquired through the object acquisition unit, and then the audience objects and the audience environment information are fused to form sign-in standard information according to regional binding; the check-in unit is further used for punching cards of any audience object when the remote education is carried out, the real-time card punching picture comprising the face of the audience object and the set card punching position is required to be uploaded when the audience object is punched, and the real-time card punching picture is subjected to card punching judgment, so that the position of the user participating in the study is fixed;
meanwhile, a real-time representation picture of all audience objects in online class is acquired through a limited acquisition unit in remote education, marked as an online picture, and then limited analysis is carried out on the online picture by using a limited analysis unit, so that when a user participates in non-educational matters, the user is automatically shielded, and privacy related to participants is avoided; the invention is simple and effective, and is easy and practical.
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Fig. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to FIG. 1, the present application provides a big data based remote education system comprising
The system comprises an object acquisition unit, an area locking unit, a sign-in unit, a processor, a channel filtering unit, a management unit, a screen display gathering unit, a limited acquisition unit and a limited analysis unit;
The object acquisition unit is used for acquiring all audience objects and audience environment information which participate in the remote education, wherein the audience objects also refer to students which participate in the remote education, and the audience environment information refers to an environment picture which is uploaded for the first time when the corresponding audience objects participate in the remote education and is used for performing card punching and sign-in at the position of the environment picture;
the object acquisition unit is used for transmitting the audience object and the audience environment information to the area locking unit, the area locking unit receives the audience object and the audience environment information transmitted by the object acquisition unit, and area binding is carried out, wherein the specific mode of area binding is as follows:
binding the corresponding audience object with the uploaded audience environment information, obtaining sign-in standard information after binding, and taking a picture at the position of the set audience environment information when the subsequent audience object is subjected to remote education, wherein the picture contains the face of the audience object and the audience environment information;
the region locking unit is used for transmitting the sign-in standard information to the sign-in unit for storage;
The sign-in unit is also used for punching cards of any audience object when the remote education is carried out, the real-time card punching picture containing the face of the audience object and the set card punching position is required to be uploaded when the audience object is punched, the real-time card punching picture is subjected to card punching judgment, and the specific mode of card punching judgment is as follows:
step one: acquiring a real-time card punching picture;
Step two: firstly, acquiring a face part in a real-time card punching picture, matching the face part with an audience object of sign-in standard information according to face recognition, automatically acquiring audience environment information of the corresponding audience object if matching is consistent, otherwise, not processing and refusing the corresponding personnel to continuously participate in accessing remote education;
Step three: then deleting all the body parts belonging to the audience object in the real-time card punching picture, wherein the body parts comprise the head and the rest body parts, and marking the filtered real-time card punching picture as a background picture; the technology is a conventional technology in the prior art, and is not specifically disclosed herein, and a plurality of background blurring technical schemes exist in video call, so that the technology is not specifically disclosed herein;
step four: comparing the background picture with the audience environment information to obtain the area of the similar part of the background picture and the audience environment information, wherein the area accounts for the total area of the audience environment information, and marking the obtained proportion as a sign-in duty ratio; when the sign-in duty ratio exceeds X1, a sign-in success signal is generated, otherwise, a sign-in failure signal is generated, and a real-time card punching picture is required to be uploaded again for the corresponding audience object; where X1 is a predetermined value, typically 0.85;
Step five: when a sign-in success signal is generated, automatically acquiring a sign-in duty ratio, and if the sign-in duty ratio exceeds an X1 value which is 1.06 times, automatically acquiring a part which is different from the background picture in the environment information of the audience at the moment, and marking the part as a difference label;
Step six: after the difference targets in the audience environment information are removed, the audience environment information is updated; the difference targets are deleted, the part corresponding to the difference targets is a movable object or an object corresponding to an audience object which is frequently moved, the part is just in the position during initial setting, meanwhile, the set X1 can ensure that the environment learned by a user is stable and must be kept, so that a good learning environment exists, the side is supervised, the learning environment is prevented from being too scattered, and 1.06 times of X1 can ensure that the audience environment information is not changed to a great extent and the learning environment is prevented from being modified;
step seven: rebinding the updated audience environment information and the corresponding audience object to obtain updated sign-in standard information;
The sign-in unit automatically forms a sign-in record after generating a sign-in success signal and transmits the sign-in record to the processor;
The remote education system further comprises a limited acquisition unit, wherein the limited acquisition unit is used for acquiring real-time performance pictures of all audience objects in online class during remote education and marking the real-time performance pictures as online pictures, the limited acquisition unit is used for transmitting the online pictures to a limited analysis unit, and the limited analysis unit is used for carrying out limited analysis on the online pictures, and the specific mode of the limited analysis is as follows:
S1: acquiring all online pictures, and optionally selecting one online picture;
s2: defining the area of the edge of the face, carrying out face edge detection on the face part in the online picture, obtaining the edge line of the face, and obtaining the area of the wrapping part of the edge line in a mode of taking a single pixel point of the picture as a unit;
s3: when the corresponding audience object is in the online class for the first time, a picture of the face of the audience object facing the computer screen is acquired at the online class position, the face edge area in the picture is acquired, and the picture is calibrated to be a reference area;
S4: then acquiring a real-time online picture, automatically acquiring the edge area of the face of the person corresponding to the audience object in the online picture, marking the face as a real-time viewing area, and acquiring the real-time viewing area once every interval T1 time, wherein T1 is a preset value;
s5: calculating the deviation ratio by using a formula, wherein the specific calculation formula is as follows:
deviation ratio= |reference area-real-time viewing area|/reference area;
In the formula, |x| is expressed as absolute value of the numerical value in the brackets;
S6: when the deviation duty ratio exceeds X2, generating a deviation signal, marking the picture at the moment as a deviation picture, continuously collecting the deviation duty ratio, and generating a recovery signal if the deviation duty ratio is detected to be not more than X2 after the deviation signal is generated; x2 is a preset value, and is generally 0.2, although other values can be used;
S7: continuously monitoring, if a user generates a deviation signal for more than three times in the time T2 or does not generate a recovery signal in the time T3 after generating the deviation signal, generating a passion signal, and marking an audience object corresponding to the passion signal as a passion object; t2 and T3 are preset values;
The limited analysis unit is used for transmitting all online pictures and deviation signals, deviation pictures and recovery signals generated by the online pictures to the processor, and the processor is used for carrying out display processing by combining the screen collecting unit, wherein the specific mode of the display processing is as follows:
the method comprises the steps of playing a received online picture in real time, and automatically shielding the online picture to display a designated graph when a deviation signal is generated on the online picture of any audience object; if the recovery signal of the same audience object is received later, the online picture is recovered to be displayed;
The limited analysis unit is also used for transmitting the god-going object to the processor, and the processor automatically transmits the god-going object to the intelligent terminal of the teacher, so that the processing is convenient;
The management unit is in communication connection with the processor and is used for inputting all preset values.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (1)
1. A big data based distance education system comprising:
the object acquisition unit is used for acquiring all audience objects and audience environment information participating in remote education;
Region locking unit: the method comprises the steps of receiving audience objects and audience environment information transmitted by an object acquisition unit, carrying out area binding, and fusing the audience objects and the audience environment information to form sign-in standard information;
sign-in unit: the method is used for carrying out card punching judgment on the real-time card punching picture, and the specific mode of card punching judgment is as follows:
all body parts belonging to an audience object in the real-time card punching picture are deleted, the body parts comprise a head and other body parts, and the filtered real-time card punching picture is marked as a background picture;
Comparing the background picture with the audience environment information to judge whether the sign-in is successful; when a sign-in success signal is generated, automatically acquiring a sign-in duty ratio, and if the sign-in duty ratio exceeds a preset threshold value, automatically acquiring a part which is different from the background picture in the environment information of the audience at the moment, and marking the part as a difference label;
After the difference targets in the audience environment information are removed, the audience environment information is updated;
rebinding the updated audience environment information and the corresponding audience object to obtain updated sign-in standard information;
The sign-in unit automatically forms a sign-in record after generating a sign-in success signal and transmits the sign-in record to the processor;
the method for judging whether the sign-in is successful comprises the following steps:
acquiring the area of a part similar to the audience environment information of the background picture, wherein the area accounts for the total area of the audience environment information, and marking the acquired area as a sign-in duty ratio; when the sign-in duty ratio exceeds X1, a sign-in success signal is generated, otherwise, a sign-in failure signal is generated, and a real-time card punching picture is required to be uploaded again for the corresponding audience object; x1 is a preset value;
The remote education system further comprises a limited acquisition unit, wherein the limited acquisition unit is used for acquiring real-time performance pictures of all audience objects in online class during remote education and marking the real-time performance pictures as online pictures, the limited acquisition unit is used for transmitting the online pictures to a limited analysis unit, and the limited analysis unit is used for carrying out limited analysis on the online pictures, and the specific mode of the limited analysis is as follows:
S1: acquiring all online pictures, and optionally selecting one online picture;
s2: defining the area of the edge of the face, carrying out face edge detection on the face part in the online picture, obtaining the edge line of the face, and obtaining the area of the wrapping part of the edge line in a mode of taking a single pixel point of the picture as a unit;
s3: when the corresponding audience object is in the online class for the first time, a picture of the face of the audience object facing the computer screen is acquired at the online class position, the face edge area in the picture is acquired, and the picture is calibrated to be a reference area;
S4: then acquiring a real-time online picture, automatically acquiring the edge area of the face of the person corresponding to the audience object in the online picture, marking the face as a real-time viewing area, and acquiring the real-time viewing area once every interval T1 time, wherein T1 is a preset value;
s5: calculating the deviation ratio by using a formula, wherein the specific calculation formula is as follows:
deviation ratio= |reference area-real-time viewing area|/reference area;
In the formula, |x| is expressed as absolute value of the numerical value in the brackets;
S6: when the deviation duty ratio exceeds X2, generating a deviation signal, marking the picture at the moment as a deviation picture, continuously collecting the deviation duty ratio, and generating a recovery signal if the deviation duty ratio is detected to be not more than X2 after the deviation signal is generated; x2 is a preset value;
S7: continuously monitoring, if a user generates a deviation signal for more than three times in the time T2 or does not generate a recovery signal in the time T3 after generating the deviation signal, generating a passion signal, and marking an audience object corresponding to the passion signal as a passion object;
The audience object refers to students taking part in remote education, and the audience environment information refers to an environment picture which is uploaded for the first time when the corresponding audience object takes part in remote education and is used for carrying out card punching and sign-in on the position of the environment picture;
The limited analysis unit is used for transmitting all online pictures and deviation signals, deviation pictures and recovery signals generated by the online pictures to the processor, and the processor is used for carrying out display processing by combining the screen collecting unit, wherein the specific mode of the display processing is as follows:
the method comprises the steps of playing a received online picture in real time, and automatically shielding the online picture to display a designated graph when a deviation signal is generated on the online picture of any audience object; if the recovery signal of the same audience object is received later, the online picture is recovered to be displayed;
the limited analysis unit is also used for transmitting the god-going object to the processor, and the processor automatically transmits the god-going object to the intelligent terminal of the teacher;
The system also comprises a management unit, wherein the management unit is in communication connection with the processor and is used for inputting all preset values;
the region locking unit is used for transmitting the sign-in standard information to the sign-in unit for storage;
the sign-in unit is used for punching cards when any audience object carries out remote education, and the real-time card punching picture comprising the face of the audience and the set card punching position is required to be uploaded when any audience object carries out card punching;
The sign-in unit is matched with the audience objects of the sign-in standard information according to the face recognition, if the face recognition is consistent with the audience objects, the audience environment information of the corresponding audience objects is automatically obtained, otherwise, the corresponding personnel are not processed and are refused to continuously participate in accessing the remote education.
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