CN115471202A - High-efficiency conference system based on big data - Google Patents
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Abstract
The invention provides a big data-based efficient conference system, which comprises a data receiving module, a face recognition module, a storage module, a conference recording module and a server, wherein the face recognition module is used for inputting faces of persons participating in a conference; the server acquires the conference content through the data receiving module, analyzes the acquired conference content and then transmits the conference content to the conference recording module; the conference recording module is used for classifying and recording the conference content; the classified and recorded contents are transmitted to a storage module for storage, and after the storage is finished, the conference personnel carry out face confirmation through a face recognition module; the server controls the storage module to transmit the stored meeting record content to the face recognition module, and meeting personnel download according to the transmitted meeting content.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a high-efficiency conference system based on big data.
Background
Big data (big data), or huge data, refers to the data that is too large to be captured, managed, processed and organized in a reasonable time by means of mainstream software tools to help enterprises make business decisions more positive.
The strategic significance of big data technology is not to grasp huge data information, but to specialize the data with significance. In other words, if large data is compared with an industry, the key to realizing profitability of the industry lies in improving the processing capacity of the data and realizing the value increment of the data through processing.
In the prior art, when a conference is held, a conference host is usually performed through a prepared PDF document, and when the conference is held, extended description is performed according to the prepared PDF document, so that a large amount of data information is generated, and effective data processing cannot be performed based on the data information.
Disclosure of Invention
The invention aims to provide a high-efficiency conference system based on big data, which is used for identifying picture information and voice information generated during a conference, effectively storing conference contents, recording personnel participating in the conference by face identification before the conference is participated, and downloading conference information by face identification verification after the conference is finished, so that the high efficiency of the conference is improved.
In order to achieve the purpose, the invention is realized by the following technical scheme: a big data-based efficient conference system comprises a data receiving module, a face recognition module, a storage module, a conference recording module and a server, wherein the data receiving module, the face recognition module, the storage module and the conference recording module are respectively in data connection with the server; the face recognition module is used for inputting faces of persons participating in the conference;
the face information is transmitted to a server, the server acquires the conference content through a data receiving module, and the acquired conference content is analyzed and then transmitted to a conference recording module; the conference recording module is used for classifying and recording the conference contents; the classified and recorded contents are transmitted to a storage module for storage, and after the storage is finished, the conference personnel carry out face confirmation through a face recognition module; the server controls the storage module to transmit the stored meeting record content to the face recognition module, and meeting personnel download the meeting record content according to the transmitted meeting content.
Furthermore, the face recognition module comprises a face input unit and a storage unit, the information of the personnel participating in the conference is stored in advance through the storage unit, when the personnel participate in the conference, the face recognition module recognizes the face, compares the face with the information stored in the storage unit, recognizes the participation of the conference correctly, and inputs the face after the authorization of the personnel participating in the conference.
Furthermore, the data receiving module comprises a voice receiving unit, a video recording unit, an image extracting unit and a voice extracting unit, when a conference is carried out, the voice receiving unit receives conference voice information, the video recording unit records conference images, the image extracting unit extracts characters recorded in the images during the high-level conference, the voice extracting unit extracts the characters recorded in the voice, and conference personnel generating the voice are selected according to the recorded voice to extract the characters in the voice.
Further, the conference recording module includes a key recording unit, a general recording unit and a general recording unit, the general recording unit records all conversion characters in the conference content, the general recording unit performs conversion recording on the conference content emphasized twice in the received voice, and the key recording unit performs conversion recording on the conference content emphasized twice or more in the received voice.
Furthermore, the conference recording module is in data connection with a confirmation module, and the confirmation module comprises a modification unit, a correction unit and a confirmation unit;
when the confirmation module confirms information modification, the specific operations are as follows:
when the conference recording module records, unclear characters and images are marked, fuzzy information is defined, after a conference is finished, the marked content is conveyed to the modification unit, conference host personnel modify the fuzzy information through the modification unit, the modified information is conveyed to the conference recording module after the modification is finished, the conference recording module performs character addition according to the corresponding unclear characters and images, the added information is rearranged, the arranged information is conveyed to the correction unit, the conference host personnel correct the information through the correction unit, the corrected information is input to the confirmation unit after the correction is finished, and the conference host personnel confirm the modified conference content.
Further, the face recognition module comprises a face acquisition unit, a data measurement unit, a distance sensing unit and a data calculation unit, wherein the distance sensing unit is used for measuring the face distance of the conference staff, when the distance is measured at a certain distance, the face acquisition unit is used for acquiring face information, the face acquisition unit is provided with a face acquisition frame, when the face is completely filled in the face acquisition frame, the data measurement unit is used for acquiring the face information, the face information comprises the distance between ears, the distance between eyes, the distance between nostrils and the distance between the chin and the lower lip, the acquired face information is conveyed to the data calculation unit, the data calculation unit is used for comprehensively calculating a face recognition reference value according to the received numerical information, and the face recognition is carried out by acquiring the face recognition reference value.
Further, when the face identification reference value is acquired, the method comprises the following steps:
step 1: set the distance between ears to be: EDJLz, distance between eyes: yjlilz, distance between nostrils: BKJLz, the distance between the chin and the lower lip is: BCJLz;
step 2: setting the face recognition reference value as follows: RLSBz, calculating the face recognition reference value according to the set distance parameter;
and step 3: and obtaining a face recognition reference value according to the distance between ears, the distance between eyes, the distance between nostrils and the distance between the chin and the lower lip, and storing the face recognition reference value through a storage unit in the face recognition module.
Furthermore, the face recognition module further comprises a face verification unit and a downloading unit, after the conference is finished, conference contents in the storage module are temporarily stored through the storage unit, the storage time is 24h, if the storage time is exceeded, the server controls the storage unit to empty the contents in the storage unit, conference staff carry out face verification through the face verification unit, the face verification unit verifies according to the staff information stored in the storage unit and used for participating in the conference, and the conference staff who pass the face verification download the conference contents through the downloading unit.
Furthermore, the conference content unit is composed of a display terminal, a USB wiring port and a power-on unit, after the conference staff passing face verification is verified, the face verification unit sends a verification instruction, the power-on unit is connected with a power supply of the USB wiring port, the conference staff is connected with the display terminal through the USB wiring port, and the content needing to be downloaded is selected through the terminal.
The invention has the beneficial effects that:
the invention is based on the face input by the face recognition module after the personnel participating in the conference are authorized, and when the conference is held, the information generated by the conference is recognized and input to form the conference content, and after the conference is finished, the conference personnel are recognized by the face recognition module to download the conference content.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of an efficient conferencing system based on big data according to the present invention;
FIG. 2 is a diagram of the method steps for a big data based high efficiency conferencing system of the present invention;
fig. 3 is a diagram illustrating steps of a method for obtaining a face recognition reference value in an efficient conferencing system based on big data according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the present invention, please refer to fig. 1-3, a big data based high-efficiency conference system includes a data receiving module, a face recognition module, a storage module, a conference recording module and a server, wherein the data receiving module, the face recognition module, the storage module and the conference recording module are respectively connected with the server;
the face recognition module is used for inputting the faces of the persons participating in the conference;
the face recognition module comprises a face input unit and a storage unit, the information of personnel participating in the conference is stored in advance through the storage unit, and when the personnel participates in the conference, the face recognition module recognizes the face, compares the face with the information stored in the storage unit and correctly participates in the conference;
when needing to be explained, the face recognition module inputs faces after being authorized by the personnel participating in the conference;
the face information is transmitted to a server, the server acquires the conference content through a data receiving module, and the acquired conference content is analyzed and then transmitted to a conference recording module;
the data receiving module comprises a voice receiving unit, a video recording unit, an image extracting unit and a voice extracting unit, wherein when a conference is carried out, the voice receiving unit receives conference voice information, the video recording unit records a conference image, the image extracting unit extracts characters recorded in the image during the high-level conference, the voice extracting unit extracts the characters recorded in the voice, and according to the recorded voice, conference personnel generating the voice are selected to extract the characters in the voice;
it should be noted that, according to the voice timbre of the conference host, selection is performed, and only one person is selected to extract the characters in the voice, where: the conference content includes audio recording content and video recording content.
The conference recording module is used for classifying and recording the conference content;
the conference recording module comprises a key recording unit, a general recording unit and a general recording unit, wherein the general recording unit records all conversion characters in the conference content, the general recording unit performs conversion recording on the conference content emphasized twice in the received voice, and the key recording unit performs conversion recording on the conference content emphasized twice or more in the received voice.
The conference recording module is in data connection with a confirmation module, and the confirmation module comprises a modification unit, a correction unit and a confirmation unit;
when the confirmation module confirms the information modification, the specific operations are as follows:
when the conference recording module records, unclear characters and images are marked, fuzzy information is defined, after a conference is finished, the marked content is conveyed to the modification unit, conference host personnel modify the fuzzy information through the modification unit, the modified information is conveyed to the conference recording module after the modification is finished, the conference recording module performs character addition according to the corresponding unclear characters and images, the added information is rearranged, the arranged information is conveyed to the correction unit, the conference host personnel correct the information through the correction unit, the corrected information is input to the confirmation unit after the correction is finished, and the conference host personnel confirm the modified conference content.
The classified and recorded contents are transmitted to a storage module for storage, and after the storage is finished, the conference personnel carry out face confirmation through a face recognition module;
the face recognition module comprises a face acquisition unit, a data measurement unit, a distance sensing unit and a data calculation unit, wherein the distance sensing unit is used for measuring the face distance of conference personnel, when the measurement is carried out at a certain distance, the face acquisition unit is used for acquiring face information, the face acquisition unit is provided with a face acquisition frame, when a face is completely filled in the face acquisition frame, the data measurement unit is used for acquiring the face information, the face information comprises the distance between ears, the distance between eyes, the distance between nostrils and the distance between a chin and a lower lip, the acquired face information is conveyed to the data calculation unit, the data calculation unit comprehensively calculates a face recognition reference value according to the received numerical information, and the face recognition is carried out by acquiring the face recognition reference value.
When the face identification reference value is acquired, the method comprises the following steps:
step 1: set the distance between the ears to be: EDJLz, distance between eyes: yjlilz, distance between nostrils: BKJLz, the distance between the chin and the lower lip is: BCJLz;
step 2: setting the face recognition reference value as: RLSBz, calculating the face recognition reference value according to the set distance parameter;
and step 3: the specific process of the calculation is shown in the following formula:
and 4, step 4: substituting the distance between ears, the distance between eyes, the distance between nostrils and the distance between the chin and the lower lip according to a reference formula of the face recognition reference value to obtain the face recognition reference value, and storing the face recognition reference value through a storage unit in the face recognition module.
It should be noted that: the certain distance value may be 20cm, and may be 30cm within the determined distance.
The server controls the storage module to transmit the stored meeting record content to the face recognition module, and meeting personnel download the meeting record content according to the transmitted meeting content.
The face recognition module also comprises a face verification unit and a downloading unit, after the meeting is finished, the meeting content in the storage module is temporarily stored through the storage unit, the storage time is 24h, if the storage time is exceeded, the server controls the storage unit to empty the content in the storage unit, the meeting personnel carry out face verification through the face verification unit, the face verification unit verifies according to the personnel information stored in the storage unit and participating in the meeting, and the meeting personnel who pass face verification carry out downloading of the meeting content through the downloading unit;
it should be noted that: the conference content unit is composed of a display terminal, a USB wiring port and a power-on unit, after the conference staff who pass face verification are verified, the face verification unit sends a verification instruction, the power-on unit is connected with a power supply of the USB wiring port, the conference staff are connected with the display terminal through the USB wiring port, and the content needing to be downloaded is selected through the terminal.
The invention specifically comprises the following steps when a conference system holds a conference for searching:
step S1: the method comprises the steps that a face recognition module is used for inputting faces of persons participating in a conference, face information is transmitted to a server, and the server obtains conference contents through a data receiving module;
wherein: the face recognition module comprises a face input unit and a storage unit, and the face recognition module is used for inputting a face;
the face recognition module inputs faces after being authorized by the personnel participating in the conference;
the information of the personnel participating in the conference is stored in advance through the storage unit, and when the personnel participates in the conference, the face recognition module recognizes the face, compares the face with the information stored in the storage unit and recognizes that the conference is correctly participated in;
the number-counting receiving module receives conference voice information, records a conference image, extracts characters recorded in the image during a high-level conference, extracts characters recorded in voice, selects conference personnel generating voice according to the recorded voice, and extracts the characters in the voice;
when extracting the voice, according to the voice timbre of the conference host personnel, select only to carry out the characters in the voice to one person and extract, wherein: the conference content includes audio recording content and video recording content.
Step S2: the conference recording module receives conference content; the conference recording module is used for classifying and recording the conference content;
dividing the conference content into a key recording unit, a general recording unit and a general recording unit through a conference recording module according to the conference content;
recording all conversion characters in the conference content through a common recording unit, converting and recording the conference content emphasized twice in the received voice through the common recording unit, and converting and recording the conference content emphasized more than twice in the received voice through a key recording unit;
and step S3: the classified and recorded contents are transmitted to a storage module for storage, and after the storage is finished, the conference personnel carry out face confirmation through a face recognition module;
when the human face recognition module carries out human face recognition, the human face recognition module acquires the distance between ears, the distance between eyes, the distance between nostrils and the distance between a chin and a lower lip, the acquired human face information is transmitted to the data calculation unit, and the data calculation unit calculates the human face recognition reference value comprehensively according to the received numerical information.
And step S4: the server controls the storage module to transmit the stored meeting record content to the face recognition module, and meeting personnel download the meeting record content according to the transmitted meeting content;
after the meeting is finished, the meeting content in the storage module is temporarily stored, the storage time is 24h, if the storage time is exceeded, the temporarily stored content is emptied, the meeting personnel verify the face according to the personnel information participating in the meeting by carrying out the face verification, and the meeting personnel who verify the face download the meeting content through the downloading unit.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. A big data-based efficient conference system is characterized by comprising a data receiving module, a face recognition module, a storage module, a conference recording module and a server, wherein the data receiving module, the face recognition module, the storage module and the conference recording module are respectively in data connection with the server;
the face recognition module is used for inputting faces of persons participating in the conference; the face information is transmitted to a server, the server acquires the conference content through a data receiving module, and the acquired conference content is analyzed and then transmitted to a conference recording module; the conference recording module is used for classifying and recording the conference content; the contents after the classification record are transmitted to a storage module for storage, and after the storage is finished, the conference personnel carry out face confirmation through a face recognition module; the server controls the storage module to transmit the stored meeting record content to the face recognition module, and meeting personnel download the meeting record content according to the transmitted meeting content.
2. The efficient conference system based on big data as claimed in claim 1, wherein the face recognition module comprises a face entry unit and a storage unit, the information of the persons participating in the conference is stored in advance through the storage unit, when the persons participate in the conference, the face recognition module recognizes the face, compares the face with the information stored in the storage unit and recognizes that the conference is correctly participated in, and the face recognition module enters the face after the authorization of the persons participating in the conference.
3. The big-data-based efficient conference system according to claim 1, wherein the data receiving module comprises a voice receiving unit, a video recording unit, an image extracting unit and a voice extracting unit, the voice receiving unit receives conference voice information during a conference, the video recording unit records conference images, the image extracting unit extracts characters recorded in the images during a high-level conference, the voice extracting unit extracts the characters recorded in the voice, and conference personnel generating the voice are selected according to the recorded voice to extract the characters in the voice.
4. The big-data-based efficient conference system according to claim 1, wherein the conference recording module comprises a key recording unit, a general recording unit and a general recording unit, the general recording unit records all conversion characters in the conference content, the general recording unit performs conversion recording on the conference content emphasized twice in the received voice, and the key recording unit performs conversion recording on the conference content emphasized twice or more in the received voice.
5. The big-data-based efficient conference system according to claim 1, wherein the conference recording module is connected with a confirmation module, and the confirmation module comprises a modification unit, a correction unit and a confirmation unit;
when the confirmation module confirms the information modification, the specific operations are as follows:
when the conference recording module records, unclear characters and images are marked, fuzzy information is defined, after a conference is finished, the marked content is conveyed to the modification unit, conference host personnel modify the fuzzy information through the modification unit, the modified information is conveyed to the conference recording module after the modification is finished, the conference recording module performs character addition according to the corresponding unclear characters and images, the added information is rearranged, the arranged information is conveyed to the correction unit, the conference host personnel correct the information through the correction unit, the corrected information is input to the confirmation unit after the correction is finished, and the conference host personnel confirm the modified conference content.
6. The big-data-based efficient conference system according to claim 1, wherein the face recognition module comprises a face acquisition unit, a data measurement unit, a distance sensing unit and a data calculation unit, the distance sensing unit measures face distances of conference staff, the face acquisition unit acquires face information when the face distances are measured at a certain distance, the face acquisition unit is provided with a face acquisition frame, when the face is completely filled in the face acquisition frame, the data measurement unit acquires the face information, the face information comprises distances between ears, between eyes, between nostrils and between a chin and a lower lip, the acquired face information is transmitted to the data calculation unit, the data calculation unit comprehensively calculates a face recognition reference value according to the received numerical information, and face recognition is performed by acquiring the face recognition reference value.
7. The big-data-based efficient conference system according to claim 6, wherein when the face recognition reference value is obtained, the method comprises the following steps:
step 1: set the distance between the ears to be: EDJLz, distance between eyes: yjlilz, distance between nostrils: BKJLz, the distance between the chin and the lower lip: BCJLz;
step 2: setting the face recognition reference value as follows: RLSBz, calculating the face recognition reference value according to the set distance parameter;
and step 3: and obtaining a face recognition reference value according to the distance between ears, the distance between eyes, the distance between nostrils and the distance between the chin and the lower lip, and storing the face recognition reference value through a storage unit in the face recognition module.
8. The big-data-based efficient conference system according to claim 2, wherein the face recognition module further comprises a face verification unit and a downloading unit, after the conference is finished, conference contents in the storage module are temporarily stored in the storage unit for 24 hours, if the storage time is exceeded, the server controls the storage unit to empty the contents in the storage unit, conference staff carry out face verification through the face verification unit, the face verification unit verifies according to the conference-participating staff information stored in the storage unit, and the conference staff who pass face verification carry out downloading of the conference contents through the downloading unit.
9. The efficient conference system based on big data as claimed in claim 8, wherein the conference content unit is composed of a display terminal, a USB connection port and a power-on unit, after the conference staff passing the face authentication completes the authentication, the face authentication unit sends an authentication instruction, the power-on unit connects to the power connection of the USB connection port, the conference staff connects to the display terminal through the USB connection port, and the terminal selects the content to be downloaded.
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