CN117240841A

CN117240841A - Electronic whiteboard document storage method, system, medium and device based on face recognition

Info

Publication number: CN117240841A
Application number: CN202310989308.2A
Authority: CN
Inventors: 张高科; 杨旸
Original assignee: Light Controls Tesilian Shanghai Information Technology Co ltd
Current assignee: Light Controls Tesilian Shanghai Information Technology Co ltd
Priority date: 2023-08-07
Filing date: 2023-08-07
Publication date: 2023-12-15

Abstract

The disclosure relates to an electronic whiteboard document storage method, system, medium and equipment based on face recognition, wherein the method is applied to an interactive large screen and comprises the following steps: acquiring user information of an access object by using a camera to acquire a user data parameter set; judging whether the user data parameter set exists in a cloud server, if not, creating a user ID and a user file, and uploading the data edited by the user in the large interactive screen to the cloud server; and if yes, uploading the data edited by the user in the large interactive screen to a user file corresponding to the user ID of the cloud server. According to the scheme, the hardware capability of the large interactive screen is fully utilized, the face does not need to be input in advance, the user data follow-up user is realized, and the user can only read the data. And the association between the data and the user is realized, and the data security of the user is ensured.

Description

Electronic whiteboard document storage method, system, medium and device based on face recognition

Technical Field

The present disclosure relates to the technical field of intelligent electronic devices, and more particularly, to an electronic whiteboard document storage method, system, medium and device based on face recognition.

Background

Along with the continuous progress of science and technology, intelligent products in China are increased, an electronic whiteboard interactive system is advanced education or conference man-machine interaction auxiliary equipment, an accurate positioning technology, a large-screen display technology, an electronic technology and a computer technology are integrated, functions of a traditional projection curtain and a traditional blackboard can be replaced in an electro-classroom and a multimedia conference room, so that on the basis of the traditional blackboard and a traditional projector, the intelligent electronic whiteboard of the interactive demonstration system is born, and the intelligent electronic whiteboard is a main equipment for teaching nowadays due to the requirement of being convenient to use due to fit with actual use.

The interactive electronic whiteboard is widely applied to all classrooms and meeting rooms, the interactive whiteboard is connected with a computer, computer display contents are projected onto the whiteboard through a projector, the interactive function of the interactive electronic whiteboard is utilized, the interactive electronic whiteboard is different in size in the existing interactive function, an interpreter can directly write, draw, modify, annotate, save and the like on projection contents through the cooperation of the intelligent whiteboard and the computer and the projector, and a camera configured by the current electronic whiteboard can record any process in whiteboard teaching and demonstration and can play back and save the whiteboard as a file.

However, after the intelligent electronic whiteboard in the prior art is completely written, most of the intelligent electronic whiteboard can only store a local scheme, and if a user needs to store or take away, the written pictures are generally shared through the two-dimensional code. This kind of scheme needs to take a photograph the record two-dimensional code, loses easily. And when the user wants to modify the document next time, some information is lost, and the second editing cannot be resumed.

Disclosure of Invention

The intelligent electronic whiteboard aims to solve the technical problem that the intelligent electronic whiteboard in the prior art can only store a local scheme and cannot meet the requirements of users.

In order to achieve the above technical purpose, the present disclosure provides a method for storing an electronic whiteboard document based on face recognition, which is applied to an interactive large screen, and the method includes:

acquiring user information of an access object by using a camera to acquire a user data parameter set;

judging whether the user data parameter set exists in a cloud server, if not, creating a user ID and a user file, and uploading the data edited by the user in the large interactive screen to the cloud server;

and if yes, uploading the data edited by the user in the large interactive screen to a user file corresponding to the user ID of the cloud server.

Further, the user data parameter set includes facial data information of the user, and the facial data information corresponds to the user ID and the user profile one by one.

Further, the acquiring the user information of the access object by using the camera specifically includes:

acquiring face data information of an access user to generate first user data parameters;

acquiring operation data information of an access user to generate second user data parameters;

and taking the first user data parameter and the second user data parameter as the user data parameter set.

Further, when the judging result of judging whether the user data parameter set exists in the cloud server is that the user data parameter set exists in some cases, the method further comprises the following steps:

judging whether historical user editing data exist in the cloud server, if not, uploading the data edited by the user in the large interactive screen currently to a user file corresponding to the user ID of the cloud server;

if yes, a confirmation prompt is popped up for the user to choose whether to confirm whether the cloud data is covered or not.

In order to achieve the above technical object, the present disclosure may further provide an electronic whiteboard document storage system based on face recognition, which is carried in an interactive large screen, the system comprising:

the data acquisition module is used for acquiring user information of the access object by using the camera to acquire a user data parameter set;

the judging module is used for judging whether the user data parameter set exists in the cloud server or not;

the storage module is used for newly establishing a user ID and a user file in the cloud server when the judging result of the judging module is that the judging result is not yes, and uploading the data edited by the user in the large interactive screen to the cloud server currently; the method comprises the steps of,

and when the judging result of the judging module is that the user is in the interaction large screen, uploading the data edited by the user in the current interaction large screen to a user file corresponding to the user ID of the cloud server.

Further, the data acquisition module is specifically configured to:

Further, the system further comprises:

the coverage confirmation module is used for judging whether historical user editing data exist in the cloud server or not when the judging result of the judging module is that the historical user editing data exist sometimes, and uploading the data edited by the user in the large interactive screen currently to a user file corresponding to the user ID of the cloud server if the historical user editing data exist in the cloud server;

To achieve the above technical object, the present disclosure also provides a computer storage medium having a computer program stored thereon, which when executed by a processor is configured to implement the steps of the above-described electronic whiteboard document storage method based on face recognition.

In order to achieve the above technical purpose, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the steps of the above electronic whiteboard document storage method based on face recognition are implemented when the processor executes the computer program.

The beneficial effects of the present disclosure are:

the scheme fully utilizes the hardware capability of the large interactive screen, does not need to enter a human face in advance, realizes that the data of the user follow the user and can only be read by the user. And the association between the data and the user is realized, and the data security of the user is ensured.

Drawings

FIG. 1 shows a flow schematic of the method of embodiment 1 of the present disclosure;

FIG. 2 shows a flow diagram of a method of embodiment 1 of the present disclosure;

FIG. 3 shows a schematic structural diagram of a system of embodiment 2 of the present disclosure;

fig. 4 shows a schematic structural diagram of embodiment 4 of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

Various structural schematic diagrams according to embodiments of the present disclosure are shown in the drawings. The figures are not drawn to scale, wherein certain details are exaggerated for clarity of presentation and may have been omitted. The shapes of the various regions, layers and relative sizes, positional relationships between them shown in the drawings are merely exemplary, may in practice deviate due to manufacturing tolerances or technical limitations, and one skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions as actually required.

Embodiment one:

as shown in fig. 1:

the disclosure provides an electronic whiteboard document storage method based on face recognition, which is applied to an interactive large screen, and comprises the following steps:

s101: acquiring user information of an access object by using a camera to acquire a user data parameter set;

s102: judging whether the user data parameter set exists in a cloud server, if not, creating a user ID and a user file, and uploading the data edited by the user in the large interactive screen to the cloud server;

Further, as shown in fig. 2:

the first embodiment of the present disclosure may be modified as follows:

when the judgment result of judging whether the user data parameter set exists in the cloud server is that the user data parameter set exists in some cases, the method further comprises the following steps:

s103: judging whether historical user editing data exist in the cloud server, if not, uploading the data edited by the user in the large interactive screen currently to a user file corresponding to the user ID of the cloud server;

Embodiment two:

as shown in fig. 3:

in order to solve the above technical problem, the present disclosure may further provide an electronic whiteboard document storage system based on face recognition, which is carried in an interactive large screen, the system includes:

the data acquisition module 201 is configured to acquire user information of an access object by using a camera, and obtain a user data parameter set;

the judging module 202 is configured to judge whether the user data parameter set exists in the cloud server;

the storage module 203 is configured to newly build a user ID and a user profile in the cloud server when the determination result of the determination module is no, and upload the data edited by the user in the large interactive screen to the cloud server currently; the method comprises the steps of,

The data acquisition module 201 is sequentially connected with the judgment module 202 and the storage module 203.

Further, the data acquisition module is specifically configured to:

Further, the system further comprises:

Embodiment III:

the present disclosure can also provide a computer storage medium having stored thereon a computer program for implementing the steps of the above-described face recognition-based electronic whiteboard document storage method when executed by a processor.

The computer storage media of the present disclosure may be implemented using semiconductor memory, magnetic core memory, drum memory, or magnetic disk memory.

Semiconductor memory devices mainly used for computers mainly include two types, mos and bipolar. The Mos device has high integration level, simple process and slower speed. Bipolar devices have complex processes, high power consumption, low integration, and high speed. After the advent of NMos and CMos, mos memories began to dominate semiconductor memories. NMos is fast, e.g., 1K bit SRAM access time from Intel corporation is 45ns. And the CMos has low power consumption, and the access time of the CMos static memory with 4K bits is 300ns. The semiconductor memories are all Random Access Memories (RAM), i.e. new contents can be read and written randomly during operation. While semiconductor read-only memory (ROM) is randomly readable but not writable during operation and is used to store cured programs and data. ROM is in turn divided into two types, non-rewritable fuse read-only memory-PROM and rewritable read-only memory EPROM.

The magnetic core memory has the characteristics of low cost and high reliability, and has practical use experience of more than 20 years. Core memory has been widely used as main memory before the mid-70 s. Its storage capacity can be up to above 10 bits, and its access time is up to 300ns. The internationally typical core memory capacity is 4 MS-8 MB with access cycles of 1.0-1.5 mus. After the rapid development of semiconductor memory replaces the location of core memory as main memory, core memory can still be applied as mass expansion memory.

A magnetic drum memory, an external memory for magnetic recording. Because of its fast information access speed, it works stably and reliably, and although its capacity is smaller, it is gradually replaced by disk memory, but it is still used as external memory for real-time process control computers and middle and large-sized computers. In order to meet the demands of small-sized and microcomputer, a microminiature magnetic drum has appeared, which has small volume, light weight, high reliability and convenient use.

A magnetic disk memory, an external memory for magnetic recording. It has the advantages of both drum and tape storage, i.e. its storage capacity is greater than that of drum, and its access speed is faster than that of tape storage, and it can be stored off-line, so that magnetic disk is widely used as external memory with large capacity in various computer systems. Magnetic disks are generally classified into hard disks and floppy disk storage.

Hard disk memory is of a wide variety. Structurally, the device is divided into a replaceable type and a fixed type. The replaceable disk platter is replaceable, and the fixed disk platter is fixed. The replaceable and fixed magnetic disks have two types of multi-disc combination and single-disc structure, and can be divided into fixed magnetic head type and movable magnetic head type. The fixed head type magnetic disk has a small capacity, a low recording density, a high access speed, and a high cost. The movable magnetic head type magnetic disk has high recording density (up to 1000-6250 bit/inch) and thus large capacity, but has low access speed compared with the fixed magnetic head magnetic disk. The storage capacity of the disk product may be up to several hundred megabytes with a bit density of 6 bits per inch and a track density of 475 tracks per inch. The disk group of the disk memory can be replaced, so that the disk memory has large capacity, large capacity and high speed, can store large-capacity information data, and is widely applied to an online information retrieval system and a database management system.

Embodiment four:

the present disclosure also provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above-described face recognition-based electronic whiteboard document storage method when executing the computer program.

Fig. 4 is a schematic diagram of an internal structure of an electronic device in one embodiment. As shown in fig. 4, the electronic device includes a processor, a storage medium, a memory, and a network interface connected by a system bus. The storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store a control information sequence, and when the computer readable instructions are executed by a processor, the processor can realize an electronic whiteboard document storage method based on face recognition. The processor of the electrical device is used to provide computing and control capabilities, supporting the operation of the entire computer device. The memory of the computer device may store computer readable instructions that, when executed by the processor, cause the processor to perform a face recognition-based electronic whiteboard document storage method. The network interface of the computer device is for communicating with a terminal connection. It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

The electronic device includes, but is not limited to, a smart phone, a computer, a tablet computer, a wearable smart device, an artificial smart device, a mobile power supply, and the like.

The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functionality, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (for example, executing remote data read-write programs, etc.), and calling data stored in the memory.

The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.

Fig. 4 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 4 is not limiting of the electronic device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.

For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.

Further, the electronic device may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices.

Optionally, the electronic device may further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.

Further, the computer-usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. The electronic whiteboard document storage method based on face recognition is applied to an interactive large screen, and is characterized by comprising the following steps of:

if yes, further judging whether historical user editing data exist in the cloud server, and if not, uploading the data edited by the user in the large interactive screen to a user file corresponding to the user ID of the cloud server;

if yes, popping up a confirmation prompt for the user to choose and confirm whether to cover the cloud data;

and uploading the data edited by the user in the current large interactive screen to a user file corresponding to the user ID of the cloud server.

2. The method of claim 1, wherein the set of user data parameters includes facial data information of the user, the facial data information being in one-to-one correspondence with the user ID and user profile.

3. The method according to claim 1, wherein the acquiring, by using the camera, the user information of the access object, and the obtaining the user data parameter set specifically includes:

4. An electronic whiteboard document storage system based on face recognition, which is carried in an interactive large screen, is characterized in that the system comprises:

when the judging result of the judging module is that the user is in the interaction large screen, uploading the data edited by the user in the current interaction large screen to a user file corresponding to the user ID of the cloud server;

5. The system of claim 4, wherein the set of user data parameters includes facial data information of the user, the facial data information being in one-to-one correspondence with the user ID and user profile.

6. The system of claim 4, wherein the data acquisition module is specifically configured to:

7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps corresponding to the face recognition based electronic whiteboard document storage method of any one of claims 1 to 3 when the computer program is executed by the processor.

8. A computer storage medium having stored thereon computer program instructions, which when executed by a processor are adapted to carry out the steps corresponding to the face recognition based electronic whiteboard document storage method according to any one of claims 1 to 3.