CN112804475A - Paperless conference system based on big data platform - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/15—Conference systems
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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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
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Abstract
The invention discloses a paperless conference system based on a big data platform, which comprises a portrait acquisition camera, a data receiving module, a data processing module, a master control module, a personnel information base, a conference reminding module, a conference recording module, a conference content display module and a data cloud and personnel checking module; the human image acquisition camera is used for acquiring real-time human face image information of personnel entering a conference room, the personnel information base stores prestored human face image information of the personnel participating in the conference and mobile phone number information of each personnel, and the data receiving module is used for receiving the real-time human face image information and the prestored human face image information; the data receiving module sends the real-time face image information and the prestored face image information to the data processing module for comparison processing, personnel check-in information is generated, and the personnel check-in information is sent to the personnel checking module. The invention can be used more conveniently and better for paperless conferences.
Description
Technical Field
The invention relates to the field of paperless conference systems, in particular to a paperless conference system based on a big data platform.
Background
The paperless conference system is an intelligent conference interaction system based on a local area network, a private network or a mobile internet, and realizes paperless conference by electronic exchange of files by applying a communication technology, an audio technology, a video technology and a software technology. The method is characterized in that: the method has the advantages of networking file transmission, electronization file display, intellectualization file editing and controllable file input and output. The core functions are mainly to realize the functions of conference sign-in, name guide, file distribution and uploading, file synchronous demonstration, voting, handwriting annotation, call service, voice subtitle display, remote video conference and the like. Windows, IOS and Android cross-system platform interactive application is realized. The paperless conference terminal has diversified forms: there are liquid crystal elevating conference terminals, turning liquid crystal terminals, flat paperless, desk conference terminals, etc. The ultrathin liquid crystal lifting paperless conference terminal becomes the mainstream and high-end atmosphere. The scene application is mainly units such as a public inspection department, a government, finance, education, enterprises and public institutions and the like.
In the existing paperless conference system, when in use, a person still can manually record information in a conference and needs to sign in, and certain influence is brought to the use of the paperless conference system, so that the paperless conference system based on a large data platform is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current paperless conference system, personnel still can manual record information in the meeting when using to need sign in the operation, brought the problem of certain influence for the use of paperless conference system, provided a paperless conference system based on big data platform.
The invention solves the technical problems through the following technical scheme, and the system comprises a human image acquisition camera, a data receiving module, a data processing module, a master control module, a personnel information base, a conference reminding module, a conference recording module, a conference content display module and a data cloud and personnel checking module;
the human image acquisition camera is used for acquiring real-time human face image information of personnel entering a conference room, the personnel information base stores prestored human face image information of the personnel participating in the conference and mobile phone number information of each personnel, and the data receiving module is used for receiving the real-time human face image information and the prestored human face image information;
the data receiving module sends the real-time face image information and the prestored face image information to the data processing module for comparison processing to generate personnel check-in information, and the personnel check-in information is sent to the personnel checking module;
the personnel checking module receives personnel check-in information and checks the personnel check-in information; the main control module is simultaneously used for controlling the conference recording module to record the video and sound content of the conference, controlling the conference recording module to upload the video and sound content of the conference to the data cloud end, and simultaneously, the main control module is also used for uploading the content displayed by the conference content display module to the data cloud end when the conference is finished;
the conference reminding module simultaneously acquires the mobile phone number information of the participants in the personnel information base and sends pushing information to the mobile phones of the participants at a preset time before the conference starts.
Preferably, the data processing module processes the real-time face image information and the pre-stored face image information to generate the personnel check-in information, and the specific processing process is as follows:
the method comprises the following steps: extracting the acquired real-time personnel information, extracting x face photos from the acquired real-time personnel information, and extracting a reference photo from the x face photos;
step two: extracting feature points from the reference illumination surface and acquiring a real-time feature coefficient KFruit of Chinese wolfberry；
Step three: extracting preset characteristic coefficient Ki of each face image from face images in a personnel information basePreparation of；
Step four: calculate outReal-time characteristic coefficient KFruit of Chinese wolfberryWith preset characteristic coefficient Ki of each face imagePreparation ofObtaining the difference value to obtain the coefficient difference KiDifference (D)When there is a coefficient difference KiDifference (D)And when the value is 0, the check-in success information is generated.
Preferably, the reference picture is obtained as follows: extracting x face photos, ranking the face photos from clearness to fuzziness according to the clearness, and extracting the illumination surface with the highest clearness as a reference photo.
Preferably, the specific processing procedure of the characteristic coefficient is as follows:
the method comprises the following steps: extracting and acquiring a reference picture, extracting feature points in the reference picture, respectively marking two outer canthus of the human face in the reference picture as a1 point and a2 point, then marking two inner canthus as A3 point and a4 point, respectively marking two mouth corners as a B1 point and a B2 point, wherein a1 point, A3 point and B1 point are on one side, and a2 point, a4 point and B2 point are on the other side;
step two: connecting the point A1 with the point A2 to obtain a line segment L1, connecting the point A2 with the point B2 to obtain a line segment L2, connecting the point B2 with the point B1 to obtain a line segment L3, and connecting the point A1 with the point B1 to obtain a line segment L4;
step three: a line segment perpendicular to the line segment L1 is marked as L5 by taking the midpoint of the line segment L3 as an end point;
step four: measuring the lengths of the line segment L1, the line segment L3 and the line segment L5 according to a formula (L1+ L3) L5/2-M1, and obtaining a first coefficient M1;
step five: connecting the point A3 with the point A4 to obtain a segment Q1, connecting the point A4 with the point B2 to obtain a segment Q2, connecting the point B1 with the point B2 to obtain a segment Q3, and connecting the point A3 with the point B1 to obtain a segment Q4;
step six: a line segment perpendicular to the line segment L1 is marked as Q5 by taking the midpoint of the line segment Q3 as an end point;
step seven: measuring the lengths of the segment Q1, the segment Q3 and the segment Q5 according to a formula (Q1+ Q3) × Q5/2 ═ M2, and obtaining a second coefficient M2;
step eight: using the formula M1/M2 ═ MRatio ofObtaining a real-time characteristic coefficient MRatio of；
Step nine: and processing the face information prestored in the personnel information base through the processes from the first step to the eighth step to obtain the prestored characteristic coefficients.
Preferably, the data cloud sends the video and sound content of the conference and the content displayed by the conference to the intelligent receiving terminal of the participant after the conference is finished for a preset time.
Compared with the prior art, the invention has the following advantages: this paperless meeting system based on big data platform handles it through gathering participant's image and can let the participant carry out automation and sign in, not only improves the meeting efficiency of meeting, still effectual the participant forgets the situation emergence of signing in of having avoided, and the meeting content is all noted down, automatic intelligent terminal who sends the participant after the meeting finishes, the trouble of having saved the manual record of participant, let this system be worth using widely more.
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FIG. 1 is a system block diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a paperless conference system based on a big data platform comprises a portrait acquisition camera, a data receiving module, a data processing module, a master control module, a personnel information base, a conference reminding module, a conference recording module, a conference content display module and a data cloud and personnel checking module;
the human image acquisition camera is used for acquiring real-time human face image information of personnel entering a conference room, the personnel information base stores prestored human face image information of the personnel participating in the conference and mobile phone number information of each personnel, and the data receiving module is used for receiving the real-time human face image information and the prestored human face image information;
the data receiving module sends the real-time face image information and the prestored face image information to the data processing module for comparison processing to generate personnel check-in information, and the personnel check-in information is sent to the personnel checking module;
the personnel checking module receives personnel check-in information and checks the personnel check-in information; the main control module is simultaneously used for controlling the conference recording module to record the video and sound content of the conference, controlling the conference recording module to upload the video and sound content of the conference to the data cloud end, and simultaneously, the main control module is also used for uploading the content displayed by the conference content display module to the data cloud end when the conference is finished;
the conference reminding module simultaneously acquires the mobile phone number information of the participants in the personnel information base and sends pushing information to the mobile phones of the participants at a preset time before the conference starts.
The data processing module processes the real-time face image information and the prestored face image information to generate the personnel check-in information, and the specific processing process comprises the following steps:
the method comprises the following steps: extracting the acquired real-time personnel information, extracting x face photos from the acquired real-time personnel information, and extracting a reference photo from the x face photos;
step two: extracting feature points from the reference illumination surface and acquiring a real-time feature coefficient KFruit of Chinese wolfberry；
Step three: extracting preset characteristic coefficient Ki of each face image from face images in a personnel information basePreparation of；
Step four: calculating a real-time characteristic coefficient KFruit of Chinese wolfberryWith preset characteristic coefficient Ki of each face imagePreparation ofObtaining the difference value to obtain the coefficient difference KiDifference (D)When there is a coefficient difference KiDifference (D)And when the value is 0, the check-in success information is generated.
The reference picture is obtained through the following process: extracting x face photos, ranking the face photos from clearness to fuzziness according to the clearness, and extracting the illumination surface with the highest clearness as a reference photo.
The specific processing procedure of the characteristic coefficient is as follows:
the method comprises the following steps: extracting and acquiring a reference picture, extracting feature points in the reference picture, respectively marking two outer canthus of the human face in the reference picture as a1 point and a2 point, then marking two inner canthus as A3 point and a4 point, respectively marking two mouth corners as a B1 point and a B2 point, wherein a1 point, A3 point and B1 point are on one side, and a2 point, a4 point and B2 point are on the other side;
step two: connecting the point A1 with the point A2 to obtain a line segment L1, connecting the point A2 with the point B2 to obtain a line segment L2, connecting the point B2 with the point B1 to obtain a line segment L3, and connecting the point A1 with the point B1 to obtain a line segment L4;
step three: a line segment perpendicular to the line segment L1 is marked as L5 by taking the midpoint of the line segment L3 as an end point;
step four: measuring the lengths of the line segment L1, the line segment L3 and the line segment L5 according to a formula (L1+ L3) L5/2-M1, and obtaining a first coefficient M1;
step five: connecting the point A3 with the point A4 to obtain a segment Q1, connecting the point A4 with the point B2 to obtain a segment Q2, connecting the point B1 with the point B2 to obtain a segment Q3, and connecting the point A3 with the point B1 to obtain a segment Q4;
step six: a line segment perpendicular to the line segment L1 is marked as Q5 by taking the midpoint of the line segment Q3 as an end point;
step seven: measuring the lengths of the segment Q1, the segment Q3 and the segment Q5 according to a formula (Q1+ Q3) × Q5/2 ═ M2, and obtaining a second coefficient M2;
step eight: using the formula M1/M2 ═ MRatio ofObtaining a real-time characteristic coefficient MRatio of；
Step nine: and processing the face information prestored in the personnel information base through the processes from the first step to the eighth step to obtain the prestored characteristic coefficients.
And the data cloud sends the image and sound content of the conference and the content displayed by the conference to the intelligent receiving terminal of the participant after the conference is finished for a preset time.
In summary, when the invention is used, the image collecting camera is used for collecting real-time face image information of people entering a conference room, the pre-stored face image information of the people participating in the conference and the mobile phone number information of each person are stored in the person information base, the data receiving module is used for receiving the real-time face image information and the pre-stored face image information, the data receiving module sends the real-time face image information and the pre-stored face image information to the data processing module for comparison processing to generate the person sign-in information, the person sign-in information is sent to the person checking module, and the person checking module receives the person sign-in information for sign-in checking; the main control module is simultaneously used for controlling the conference recording module to record the image and sound content of the conference, controlling the conference recording module to upload the image and sound content of the conference to the data cloud end, and meanwhile, the main control module is also used for uploading the content displayed by the conference content display module to the data cloud end when the conference is finished, and the conference reminding module simultaneously acquires the mobile phone number information of the participants in the personnel information base and sends push information to the mobile phones of the participants at the preset time before the conference is started.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (5)
1. A paperless conference system based on a big data platform is characterized by comprising a portrait acquisition camera, a data receiving module, a data processing module, a master control module, a personnel information base, a conference reminding module, a conference recording module, a conference content display module and a data cloud and personnel checking module;
the human image acquisition camera is used for acquiring real-time human face image information of personnel entering a conference room, the personnel information base stores prestored human face image information of the personnel participating in the conference and mobile phone number information of each personnel, and the data receiving module is used for receiving the real-time human face image information and the prestored human face image information;
the data receiving module sends the real-time face image information and the prestored face image information to the data processing module for comparison processing to generate personnel check-in information, and the personnel check-in information is sent to the personnel checking module;
the personnel checking module receives personnel check-in information and checks the personnel check-in information; the main control module is simultaneously used for controlling the conference recording module to record the video and sound content of the conference, controlling the conference recording module to upload the video and sound content of the conference to the data cloud end, and simultaneously, the main control module is also used for uploading the content displayed by the conference content display module to the data cloud end when the conference is finished;
the conference reminding module simultaneously acquires the mobile phone number information of the participants in the personnel information base and sends pushing information to the mobile phones of the participants at a preset time before the conference starts.
2. The paperless conference system based on the big data platform as claimed in claim 1, wherein: the data processing module processes the real-time face image information and the prestored face image information to generate the personnel check-in information, and the specific processing process comprises the following steps:
the method comprises the following steps: extracting the acquired real-time personnel information, extracting x face photos from the acquired real-time personnel information, and extracting a reference photo from the x face photos;
step two: extracting feature points from the reference illumination surface and acquiring a real-time feature coefficient KFruit of Chinese wolfberry；
Step three: extracting preset characteristic coefficient Ki of each face image from face images in a personnel information basePreparation of；
Step four: calculating a real-time characteristic coefficient KFruit of Chinese wolfberryWith preset characteristic coefficient Ki of each face imagePreparation ofObtaining the difference value to obtain the coefficient difference KiDifference (D)When there is a coefficient difference KiDifference (D)And when the value is 0, the check-in success information is generated.
3. The paperless conference system based on the big data platform as claimed in claim 2, wherein: the reference picture is obtained through the following process: extracting x face photos, ranking the face photos from clearness to fuzziness according to the clearness, and extracting the illumination surface with the highest clearness as a reference photo.
4. The paperless conference system based on the big data platform as claimed in claim 2, wherein: the specific processing procedure of the characteristic coefficient is as follows:
the method comprises the following steps: extracting and acquiring a reference picture, extracting feature points in the reference picture, respectively marking two outer canthus of the human face in the reference picture as a1 point and a2 point, then marking two inner canthus as A3 point and a4 point, respectively marking two mouth corners as a B1 point and a B2 point, wherein a1 point, A3 point and B1 point are on one side, and a2 point, a4 point and B2 point are on the other side;
step two: connecting the point A1 with the point A2 to obtain a line segment L1, connecting the point A2 with the point B2 to obtain a line segment L2, connecting the point B2 with the point B1 to obtain a line segment L3, and connecting the point A1 with the point B1 to obtain a line segment L4;
step three: a line segment perpendicular to the line segment L1 is marked as L5 by taking the midpoint of the line segment L3 as an end point;
step four: measuring the lengths of the line segment L1, the line segment L3 and the line segment L5 according to a formula (L1+ L3) L5/2-M1, and obtaining a first coefficient M1;
step five: connecting the point A3 with the point A4 to obtain a segment Q1, connecting the point A4 with the point B2 to obtain a segment Q2, connecting the point B1 with the point B2 to obtain a segment Q3, and connecting the point A3 with the point B1 to obtain a segment Q4;
step six: a line segment perpendicular to the line segment L1 is marked as Q5 by taking the midpoint of the line segment Q3 as an end point;
step seven: measuring the lengths of the segment Q1, the segment Q3 and the segment Q5 according to a formula (Q1+ Q3) × Q5/2 ═ M2, and obtaining a second coefficient M2;
step eight: using the formula M1/M2 ═ MRatio ofObtaining a real-time characteristic coefficient MRatio of；
Step nine: and processing the face information prestored in the personnel information base through the processes from the first step to the eighth step to obtain the prestored characteristic coefficients.
5. The paperless conference system based on the big data platform as claimed in claim 1, wherein: and the data cloud sends the image and sound content of the conference and the content displayed by the conference to the intelligent receiving terminal of the participant after the conference is finished for a preset time.
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Inventor after: Qian Jing Inventor after: Wei Yutao Inventor after: Fan Yong Inventor before: Qian Jing Inventor before: Zhao Hongzhi Inventor before: Wei Yutao Inventor before: Fan Yong |
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Application publication date: 20210514 |