CN113095264A - Financial management's multimedia training system - Google Patents
Financial management's multimedia training system Download PDFInfo
- Publication number
- CN113095264A CN113095264A CN202110430270.6A CN202110430270A CN113095264A CN 113095264 A CN113095264 A CN 113095264A CN 202110430270 A CN202110430270 A CN 202110430270A CN 113095264 A CN113095264 A CN 113095264A
- Authority
- CN
- China
- Prior art keywords
- signal
- unit
- learning
- user
- screen
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012549 training Methods 0.000 title claims abstract description 20
- 230000006399 behavior Effects 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 8
- 238000013508 migration Methods 0.000 claims description 6
- 230000005012 migration Effects 0.000 claims description 6
- 230000001502 supplementing effect Effects 0.000 claims description 5
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 230000001154 acute effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 210000000624 ear auricle Anatomy 0.000 claims description 3
- 210000005069 ears Anatomy 0.000 claims description 3
- 230000003542 behavioural effect Effects 0.000 claims 1
- 239000003221 ear drop Substances 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Educational Technology (AREA)
- Educational Administration (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Software Systems (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a multimedia training system for financial management, which comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module, wherein the personnel monitoring unit is used for monitoring the behavior of a user; the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and is used for acquiring real-time image information of a user during listening; the invention obtains real-time image information when a user listens to a class by virtue of a personnel monitoring unit, transmits the real-time image information to a data selecting unit, and then performs key data selecting operation by utilizing the data selecting unit to obtain a vertical included angle Cv and a close distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user.
Description
Technical Field
The invention belongs to the field of teaching management, relates to a teaching supervision technology, and particularly relates to a multimedia training system for financial management.
Background
The patent with publication number CN203118257U discloses a comprehensive practical training teaching system for financial management. The teaching method for teaching the student training by the financial management major is simple at present, and the used training teaching system is single in project and weak in comprehensiveness. Training for multiple subjects with multiple ports cannot be performed simultaneously. The utility model provides a real teaching system of instructing is synthesized in financial management which constitutes and includes: through real extension (2) of instructing of a set of financial affairs of service host computer (1) and a set of network signal connection, the service host computer take printer (3) certainly and connect teaching show screen (4), speaker (5) and handwriting pad (6) simultaneously. The utility model discloses be applied to the real teaching equipment of instructing of financial management specialty synthesis.
Although the application discloses a teaching system for financial management comprehensive practical training, in the current situation of multimedia remote teaching, how to listen to all learning contents learned by a user does not have a good supervision method, and how to judge how to learn while the user is performing remote multimedia teaching cannot be performed, and contents ignored by the user are automatically recorded, so that the user is forced to finish all courses; to this end, a solution is provided.
Disclosure of Invention
The invention aims to provide a multimedia training system for financial management.
The purpose of the invention can be realized by the following technical scheme:
a multimedia training system for financial management comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and used for acquiring real-time image information of a user during listening and transmitting the real-time image information to the data selecting unit, and the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information to obtain a vertical included angle Cv and a close distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the close distance Dz transmitted by the data selection unit, performs behavior analysis on the vertical included angle Cv and the close distance Dz, and generates an outgoing signal, an off-line signal, an error signal, a return signal and an error alarm according to analysis results;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error-separating signal and the incoming signal to obtain time-missing learning information and returning a forced learning signal to the processor according to a processing result;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
Further, the key data selecting operation comprises the following specific steps:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: extracting a user's earline;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: and acquiring the shortest distance from the nose tip point to the screen bisection plane, and marking the shortest distance as a distance Dz.
Further, the specific acquisition mode of the lug wire in the step two is as follows:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
and taking a line perpendicular to the division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane.
Further, the behavior analysis comprises the following specific steps:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if either the off-line signal or the error signal is not generated within time T1 after the generation of the departure signal, a false alarm is generated.
Further, the screen exception handling specifically comprises the following steps:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: and obtaining the information of the learning in the missing time, and returning a forced learning signal to the processor.
Furthermore, in the step of the forced lesson supplementing operation, the user selects to re-learn next time through a learning unit;
meanwhile, the system can be started to monitor when the user learns the missed learning video.
Further, the processor is used for automatically stamping the error alarm transmitted by the behavior judging unit to form an error record when the error alarm is received; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
and the storage unit receives the error record transmitted by the processor and stores the error record in real time.
The invention has the beneficial effects that:
the invention obtains real-time image information when a user listens to a class by virtue of a personnel monitoring unit, transmits the real-time image information to a data selecting unit, and then performs key data selecting operation by utilizing the data selecting unit to obtain a vertical included angle Cv and a close distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user;
meanwhile, the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; then the processor automatically combines the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error signal and the incoming signal to obtain the missing learning information, returns a forced learning signal to the processor according to the processing result to perform forced learning for the user to ignore the content and delete the original video, but restarts the system to monitor in the learning process to realize closed loop; the invention is simple and practical
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a multimedia training system for financial management comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer end and is used for acquiring real-time image information of a user during class listening and transmitting the real-time image information to the data selecting unit, the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information, and the specific key data selecting operation steps are as follows:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: the method comprises the following steps of extracting the ear drop of a user, wherein the specific acquisition mode of the ear drop is as follows:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
taking a line perpendicular to a division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: acquiring the shortest distance from a nose tip point to a screen bisection plane, and marking the shortest distance as a distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the distance Dz transmitted by the data selecting unit, and performs behavior analysis on the vertical included angle Cv and the distance Dz, wherein the behavior analysis comprises the following specific steps:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if any one of the off-line signal and the error signal is not generated within the time T1 after the generation of the departure signal, generating an error alarm;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to carry out screen exception processing on the outgoing signal, the off-line signal, the error-separating signal and the incoming signal, and the screen exception processing specifically comprises the following steps:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: obtaining the missing learning information and returning a forced learning signal to the processor;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, the user can select to learn again next time through the learning unit, and after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted; but the user can start the system to monitor when learning the missed learning video;
the processor is used for automatically stamping a time stamp to form an error record when receiving the error alarm transmitted by the behavior judging unit; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
the storage unit receives the error record transmitted by the processor and stores the error record in real time;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
A multimedia training system for financial management is characterized in that real-time image information of a user during listening is acquired by means of a personnel monitoring unit, the real-time image information is transmitted to a data selecting unit, and then key data selecting operation is performed by the data selecting unit to obtain a vertical included angle Cv and a distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user;
meanwhile, the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; then the processor automatically combines the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error signal and the incoming signal to obtain the missing learning information, returns a forced learning signal to the processor according to the processing result to perform forced learning for the user to ignore the content and delete the original video, but restarts the system to monitor in the learning process to realize closed loop; the invention is simple and practical.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (7)
1. A multimedia training system for financial management is characterized by comprising a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and used for acquiring real-time image information of a user during listening and transmitting the real-time image information to the data selecting unit, and the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information to obtain a vertical included angle Cv and a close distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the close distance Dz transmitted by the data selection unit, performs behavior analysis on the vertical included angle Cv and the close distance Dz, and generates an outgoing signal, an off-line signal, an error signal, a return signal and an error alarm according to analysis results;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error-separating signal and the incoming signal to obtain time-missing learning information and returning a forced learning signal to the processor according to a processing result;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
2. A financial management multimedia training system as claimed in claim 1, wherein the key data selection operation is performed by the steps of:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: extracting a user's earline;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: and acquiring the shortest distance from the nose tip point to the screen bisection plane, and marking the shortest distance as a distance Dz.
3. A financial management multimedia training system as claimed in claim 2, wherein the specific acquisition of the lug line in step two is:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
and taking a line perpendicular to the division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane.
4. A financial management multimedia training system as claimed in claim 1, wherein the specific steps of the behavioral analysis are:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if either the off-line signal or the error signal is not generated within time T1 after the generation of the departure signal, a false alarm is generated.
5. A financial management multimedia training system as claimed in claim 1, wherein the screen exception handling comprises the steps of:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: and obtaining the information of the learning in the missing time, and returning a forced learning signal to the processor.
6. A financial management multimedia training system as claimed in claim 1, wherein the user selects the next re-study in said forced lesson supplementing operation step through a learning unit;
meanwhile, the system can be started to monitor when the user learns the missed learning video.
7. A financial management multimedia training system as claimed in claim 1, wherein the processor is configured to automatically timestamp the error alert transmitted by the behaviour decision unit to form an error log; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
and the storage unit receives the error record transmitted by the processor and stores the error record in real time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110430270.6A CN113095264B (en) | 2021-04-21 | 2021-04-21 | Financial management's multimedia training system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110430270.6A CN113095264B (en) | 2021-04-21 | 2021-04-21 | Financial management's multimedia training system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113095264A true CN113095264A (en) | 2021-07-09 |
CN113095264B CN113095264B (en) | 2022-03-22 |
Family
ID=76679156
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110430270.6A Active CN113095264B (en) | 2021-04-21 | 2021-04-21 | Financial management's multimedia training system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113095264B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104935884A (en) * | 2015-06-05 | 2015-09-23 | 重庆智韬信息技术中心 | Method for intelligently monitoring class attendance order of students |
CN107393362A (en) * | 2017-09-21 | 2017-11-24 | 淄博职业学院 | A kind of computer application teaching and training system |
CN108924487A (en) * | 2018-06-29 | 2018-11-30 | 合肥霞康电子商务有限公司 | A kind of remote monitoring system based on online teaching |
CN109685043A (en) * | 2019-02-10 | 2019-04-26 | 北京工商大学 | University student classroom real-time monitoring system for state based on classroom multimedia equipment |
CN111062844A (en) * | 2020-03-17 | 2020-04-24 | 浙江正元智慧科技股份有限公司 | Intelligent control system for smart campus |
CN111091733A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Auxiliary detection system for real-time teaching achievements of teachers |
CN111091484A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Student learning behavior analysis system based on big data |
CN111626647A (en) * | 2020-07-14 | 2020-09-04 | 深圳峰诚志合信息科技有限公司 | Classroom teaching evaluation system based on facial expression recognition |
CN111709641A (en) * | 2020-06-15 | 2020-09-25 | 南京倍时佳信息科技有限公司 | Enterprise internal technology training remote learning system based on internet technology |
CN112437135A (en) * | 2020-11-11 | 2021-03-02 | 聊城大学 | English teaching system and using method thereof |
-
2021
- 2021-04-21 CN CN202110430270.6A patent/CN113095264B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104935884A (en) * | 2015-06-05 | 2015-09-23 | 重庆智韬信息技术中心 | Method for intelligently monitoring class attendance order of students |
CN107393362A (en) * | 2017-09-21 | 2017-11-24 | 淄博职业学院 | A kind of computer application teaching and training system |
CN108924487A (en) * | 2018-06-29 | 2018-11-30 | 合肥霞康电子商务有限公司 | A kind of remote monitoring system based on online teaching |
CN109685043A (en) * | 2019-02-10 | 2019-04-26 | 北京工商大学 | University student classroom real-time monitoring system for state based on classroom multimedia equipment |
CN111062844A (en) * | 2020-03-17 | 2020-04-24 | 浙江正元智慧科技股份有限公司 | Intelligent control system for smart campus |
CN111091733A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Auxiliary detection system for real-time teaching achievements of teachers |
CN111091484A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Student learning behavior analysis system based on big data |
CN111709641A (en) * | 2020-06-15 | 2020-09-25 | 南京倍时佳信息科技有限公司 | Enterprise internal technology training remote learning system based on internet technology |
CN111626647A (en) * | 2020-07-14 | 2020-09-04 | 深圳峰诚志合信息科技有限公司 | Classroom teaching evaluation system based on facial expression recognition |
CN112437135A (en) * | 2020-11-11 | 2021-03-02 | 聊城大学 | English teaching system and using method thereof |
Non-Patent Citations (2)
Title |
---|
于明学等: "基于3D卷积双路神经网络的考场行为异常识别", 《北京电子科技学院学报》 * |
王思聪等: "基于多尺度分块方向类模型的群体异常行为检测", 《计算机与数字工程》 * |
Also Published As
Publication number | Publication date |
---|---|
CN113095264B (en) | 2022-03-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105227939B (en) | Inter-vehicle information system testboard bay and test method | |
CN110554831B (en) | Operation synchronization method, device, equipment and storage medium | |
CN101854505B (en) | Digital video recording and playback of user displays in a process control system | |
CN109638959B (en) | Power equipment remote signaling function debugging method and system based on AR and deep learning | |
CN108763086A (en) | Script method for recording, terminal and computer readable storage medium based on remote real machine | |
WO2011137746A2 (en) | Method, device and system for tracking user behavior in touch screen terminal | |
CN109842795A (en) | Audio-visual synchronization performance test methods, device, electronic equipment, storage medium | |
JP2007515136A (en) | Synchronize video with data annotations | |
CN110609774B (en) | Server fault auxiliary diagnosis system and method based on video image recognition | |
CN109413417A (en) | A kind of System and method for of interactive television service quality testing | |
US10244209B1 (en) | Remote agent capture and monitoring | |
CN111416960A (en) | Video monitoring system based on cloud service | |
CN113903098A (en) | Power equipment inspection method and system and infrared inspection terminal | |
CN112102129A (en) | Intelligent examination cheating identification system based on student terminal data processing | |
CN113095264B (en) | Financial management's multimedia training system | |
CN206506622U (en) | A kind of abnormal detector of intelligent video monitoring | |
CN117255193A (en) | Remote terminal state detection method and system of 5G network monitor | |
TWI709915B (en) | Curriculum index detection warning method, device, electronic equipment, and storage medium | |
CN115314684B (en) | Method, system and equipment for inspecting railroad bridge and readable storage medium | |
JPH09153069A (en) | Information gathering device, information gathering and reproducing device, and patrol terminal device | |
CN116405638A (en) | Intelligent inspection device, inspection system and inspection method based on multielement sensor | |
CN105554438A (en) | Research and development experimental device used for traffic video monitoring and control method thereof | |
CA2502216A1 (en) | Network monitoring system | |
CN210431634U (en) | Be used for court's audio recording backup networking management system | |
CN106341291A (en) | Test method of network connection stability and apparatus thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |