WO2021147757A1

WO2021147757A1 - Method, device, and product for performing information statistics

Info

Publication number: WO2021147757A1
Application number: PCT/CN2021/071705
Authority: WO
Inventors: 刁鸿浩; 黄玲溪
Original assignee: 北京芯海视界三维科技有限公司; 视觉技术创投私人有限公司
Priority date: 2020-01-20
Filing date: 2021-01-14
Publication date: 2021-07-29
Also published as: TW202131286A; CN113139411A

Abstract

The present application relates to the technical field of communications, and discloses a method for performing information statistics, comprising: performing eye recognition on a user to obtain an eye recognition result; according to the eye recognition result, performing user information statistics on the environment of the user to obtain a user information statistics result. In the described method for performing information statistics, The eye recognition result obtained by performing eye recognition of the user is taken as the basis for performing information statistics on the environment of the user; such an on-site statistics means improves the accuracy of the statistical basis, and thus improves the accuracy of the statistics result. Also disclosed by the present application are a device and product, computer-readable storage medium, and computer program product for performing information statistics.

Description

Method, device and product for realizing information statistics

This application claims the priority of a Chinese patent application filed with the China Intellectual Property Office on January 20, 2020, the application number is 202010073043.8, and the invention title is "Methods, Apparatus and Products for Realizing Information Statistics", the entire content of which is incorporated by reference in In this application.

Technical field

This application relates to the field of information processing technology, for example, to a method, device, and product for realizing information statistics.

Background technique

At present, when performing user information statistics including box office statistics on the environment where users such as theaters are located, statistics are usually performed on information such as the number of tickets issued to obtain statistical results.

In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related technology:

The accuracy of the number of tickets issued as a statistical basis is low, resulting in low accuracy of the statistical results.

Summary of the invention

In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not a general comment, nor is it intended to determine key/important components or describe the scope of protection of these embodiments, but serves as a prelude to the detailed description that follows.

The embodiments of the present disclosure provide a method, device, and product, computer-readable storage medium, and computer program product for realizing information statistics, so as to solve the problem of low accuracy of the number of tickets issued as a statistical basis, resulting in low accuracy of statistical results. technical problem.

The method for realizing information statistics provided by the embodiments of the present disclosure includes:

Perform eye recognition on the user to obtain the result of eye recognition;

Perform user information statistics on the environment of the user according to the result of eye recognition, and obtain the user information statistics result.

In some embodiments, performing eye recognition may include:

Real-time eye recognition; or

Perform eye recognition periodically; or

Perform eye recognition when the first preset condition is met.

In some embodiments, performing eye recognition on a user may include:

Identify the user's eyes within a specific location in the user's environment; or

Identify the user's eyes within a non-specific location in the user's environment.

In some embodiments, performing eye recognition on a user to obtain an eye recognition result may include:

In the case that the user's eyes are present in the recognition position range, the obtained eye recognition result is that the user's eyes are recognized; or

In the case where the user's eyes within the recognized position range face the viewing direction, the obtained eye recognition result is that the user's eyes are recognized.

In some embodiments, performing user information statistics on the environment of the user according to the result of eye recognition may include:

Real-time user information statistics; or

Periodic user information statistics; or

Perform user information statistics when the second preset condition is met.

For users whose eyes are recognized, the number of users in some or all areas of the user's environment is counted.

In some embodiments, the aforementioned number of users may include at least one of the following:

The number of users at a single moment;

At least one of the number of users and changes in the number of users at different moments;

Maximum number of users;

Minimum number of users.

In some embodiments, the aforementioned different moments may be consecutive or separate different moments.

In some embodiments, the user information statistics result can also be analyzed to obtain the user information analysis result.

In some embodiments, analyzing the user information statistics result to obtain the user information analysis result may include:

According to the corresponding relationship between the user information statistical result and the user information analysis result, the user information analysis result corresponding to the user information statistical result is determined.

In some embodiments, determining the user information analysis result corresponding to the user information statistical result may include:

Score the watched content according to the score of the watched content corresponding to the user information statistics result; or

According to the level of the viewing content corresponding to the user information statistics result, the viewing content is classified into levels.

In some embodiments, at least one of the eye recognition result and the user information statistics result can also be reported.

In some embodiments, the aforementioned reporting may include:

At least one of the eye recognition result and the user information statistics result is sent to the management background.

In some embodiments, the environment where the user is located may be: a movie theater, a theater, or a concert hall.

The device for realizing information statistics provided by the embodiments of the present disclosure includes a processor and a memory storing program instructions; the processor is configured to execute the above-mentioned method for realizing information statistics when the program instructions are executed.

The device for realizing information statistics provided by the embodiments of the present disclosure includes:

The eye displacement sensor is configured to perform eye recognition on the user to obtain an eye recognition result;

The statistics module is configured to perform user information statistics on the environment where the user is located according to the eye recognition result, and obtain the user information statistics result.

In some embodiments, the eye displacement sensor may be configured as:

Real-time eye recognition; or

Perform eye recognition periodically; or

Perform eye recognition when the first preset condition is met.

In some embodiments, the eye displacement sensor may be configured as:

In some embodiments, the statistics module may be configured as:

Real-time user information statistics; or

Periodic user information statistics; or

Perform user information statistics when the second preset condition is met.

In some embodiments, the statistics module may be configured as:

The number of users at a single moment;

Maximum number of users;

Minimum number of users.

In some embodiments, it may further include an analysis module configured to analyze the user information statistical result to obtain the user information analysis result.

In some embodiments, the analysis module may be configured as:

In some embodiments, the analysis module may be a data processing chip or include a logic circuit.

In some embodiments, it may further include a transmitter configured to report at least one of the eye recognition result and the user information statistics result.

In some embodiments, the transmitter may be configured as:

In some embodiments, the eye displacement sensor may be a camera.

In some embodiments, the number of eye displacement sensors may be one or more.

In some embodiments, the statistics module may be a data processing chip or include a logic circuit.

The products for realizing information statistics provided by the embodiments of the present disclosure include the above-mentioned device for realizing information statistics.

The computer-readable storage medium provided by the embodiments of the present disclosure stores computer-executable instructions, and the computer-executable instructions are configured to execute the above-mentioned method for realizing information statistics.

The computer program product provided by the embodiments of the present disclosure includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the above-mentioned method for realizing information statistics.

The method, device and product, computer readable storage medium, and computer program product for realizing information statistics provided by the embodiments of the present disclosure can achieve the following technical effects:

The eye recognition results obtained from the user's eye recognition are used as the basis for user information statistics of the user's environment. This on-site statistical method improves the accuracy of the statistical basis, and further improves the accuracy of the statistical results.

The above general description and the following description are only exemplary and explanatory, and are not used to limit the application.

Description of the drawings

One or more embodiments are exemplified by the accompanying drawings. These exemplified descriptions and drawings do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation, and among them:

FIG. 1 is a schematic diagram of a process for realizing information statistics provided by an embodiment of the present disclosure;

2 is a schematic diagram of a device for realizing information statistics provided by an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of another device for realizing information statistics provided by an embodiment of the present disclosure;

4 is a schematic diagram of another device for realizing information statistics provided by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of another device for realizing information statistics provided by an embodiment of the present disclosure;

Fig. 6 is a schematic structural diagram of a product for realizing information statistics provided by an embodiment of the present disclosure.

Reference signs:

200: device for information statistics; 210: processor; 220: memory; 230: communication interface; 240: bus; 310: eye displacement sensor; 320: statistics module; 330: analysis module; 340: transmitter; 400: Products that realize information statistics.

Detailed ways

In order to have a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a number of details are used to provide a sufficient understanding of the disclosed embodiments. However, without these details, one or more embodiments can still be implemented. In other cases, in order to simplify the drawings, well-known structures and devices may be simplified for display.

Referring to FIG. 1, in some embodiments, the method for realizing information statistics provided by the embodiments of the present disclosure includes:

S110: Perform eye recognition on the user to obtain an eye recognition result;

S120: Perform user information statistics on the environment where the user is located according to the eye recognition result to obtain the user information statistics result.

In some embodiments, performing eye recognition may include:

Real-time eye recognition; or

Perform eye recognition periodically; or

Perform eye recognition when the first preset condition is met.

In some embodiments, in the case of periodically performing eye recognition, the recognition period of performing eye recognition may be considered according to actual conditions such as the activity development characteristics of the environment in which the user is located. Optionally, the identification period may be preset; for example, the identification period is set to a specific time period such as 1 minute, 5 minutes, 20 minutes, and 1 hour, or a specific time period greater than or equal to 1 minute and less than or equal to 20 minutes. Optionally, the activity development feature in the environment where the user is located is that the total duration of the performance is 2 hours (for example, the total duration of a movie showing in a movie theater is 2 hours, or the total duration of a drama performance in a theater is 2 hours, or a concert hall plays music). When the total duration is 2 hours, etc.), the recognition period can be set to a specific ratio of 20%, 50%, 80%, etc. of the total duration of the performance, or a specific ratio range of greater than or equal to 20% and less than or equal to 80%.

In some embodiments, in the case of performing eye recognition when the first preset condition is met, the first preset condition for performing eye recognition may be considered according to actual conditions such as the activity development characteristics of the environment in which the user is located. Optionally, the first preset condition can be set as: reaching a specific value such as 20%, 50%, 80%, etc. of the total duration of the performance at the beginning or after the activity in the environment where the user is located, or greater than or equal to 20% and less than or equal to 80% The eye recognition is performed while waiting for a specific value range; or, the first preset condition may be set as: the eye recognition is performed immediately after the activity in the environment where the user is located.

In some embodiments, the first preset condition may be: performing eye recognition when the aforementioned recognition period is reached.

In some embodiments, performing eye recognition on a user may include:

In some embodiments, the aforementioned specific location range may include the seat area where the user is located, or also include the surrounding area of the seat area where the user is located. Optionally, the size of the aforementioned surrounding area may have a proportional relationship with the size of the seating area. For example, the ratio between the size of the surrounding area and the size of the seating area is a specific value such as 10%, 20%, or greater than or equal to 10% less than Equal to a specific value range such as 20%.

In some embodiments, the aforementioned non-specific location range may include any area in the environment where the user is located. Optionally, the aforementioned non-specific location range may be dynamic, as long as the user can be effectively identified.

In some embodiments, in the case that the user's eyes are present in the recognition position range, it is confirmed that the user's eyes are recognized, and the user's recognition can be realized simply and conveniently. Optionally, in the case where the user's eyes within the recognized position range face the viewing direction, confirming that the user's eyes are recognized can more selectively realize the recognition of the user's attention or point of interest.

Real-time user information statistics; or

Periodic user information statistics; or

Perform user information statistics when the second preset condition is met.

In some embodiments, when user information statistics are performed periodically, the statistical period for user information statistics may be considered according to actual conditions such as the characteristics of activities in the environment where the user is located. Optionally, the statistical period can be preset; for example, the statistical period is set to a specific time period such as 1 minute, 5 minutes, 20 minutes, and 1 hour, or a specific time range greater than or equal to 1 minute and less than or equal to 20 minutes. Optionally, the activity development feature in the environment where the user is located is that the total duration of the performance is 2 hours (for example, the total duration of a movie showing in a movie theater is 2 hours, or the total duration of a drama performance in a theater is 2 hours, or a concert hall playing music When the total duration is 2 hours, etc.), the statistical period can be set to a specific ratio such as 20%, 50%, 80% or greater than or equal to 20% and less than or equal to 80% of the total duration of the performance.

In some embodiments, in the case of performing user information statistics when the second preset condition is met, the activity development characteristics of the environment in which the user is located, the recognition period for performing eye recognition, the number of eye recognition results obtained, etc. The actual situation considers the second preset condition for user information statistics. Optionally, the second preset condition can be set as: reaching a specific value such as 20%, 50%, 80%, etc. of the total duration of the performance at the beginning or after the activity in the environment where the user is located, or greater than or equal to 20% and less than or equal to 80% User information statistics are performed in the case of a specific value range; or, the second preset condition can be set as: user information statistics are performed immediately after the activities in the environment where the user is located. Optionally, the second preset condition can be set as: when the number of times of the obtained eye recognition results is a specific value such as 1, 2, 5, or greater than or equal to 1 time and less than or equal to a specific value range such as 5 times Perform user information statistics.

In some embodiments, the second preset condition may be: performing user information statistics when the aforementioned identification period is reached. Optionally, the second preset condition may be: performing user information statistics when the aforementioned recognition period is reached and there is an eye recognition result.

In some embodiments, the above-mentioned partial area of the environment where the user is located may be the seating area where all or some of the users are located, or a part of the seating area.

The number of users at a single moment;

Maximum number of users;

Minimum number of users.

In some embodiments, the aforementioned number of users may be the number of users at one or more specific moments in the entire course of the activity carried out in the environment where the user is located. Optionally, when the number of users at different moments is obtained, a change in the number of users can be obtained, and the change can be reflected by a change curve, a change value, or the like. Optionally, the aforementioned number of users may also be the maximum number of users or the minimum number of users in the entire activity carried out in the environment where the user is located.

In some embodiments, the aforementioned different moments may be consecutive or separate different moments. Optionally, multiple consecutive different moments can form a time period of a specific specific time length.

In some embodiments, the above-mentioned user information statistics result can be directly used as the box office, for example, the number of users is used as the box office of a movie theater, a theater, or a concert hall.

In some embodiments, the corresponding relationship between the user information statistical result and the score of the watched content can be established. For example, when the user information statistical result is 100% attendance rate, the corresponding watched content score is 100 points, and the user information statistical result is attendance. When the rate is 90%, the score corresponding to the watched content is 90 points, and so on. Optionally, a corresponding relationship between the user information statistical result and the level of the watched content can also be established. For example, when the user information statistical result is 85% or more, the corresponding watched content level is level 1, and the user information statistical result is low At 85% and above 70%, the corresponding viewing content level is Level 2, and so on.

In some embodiments, when analyzing the user information statistics result, the price may also be combined to obtain the user information analysis result embodied as the total price. For example, the number of users as the result of user information statistics is correlated with the ticket price as the price. Multiply to get the total ticket price of the user information analysis result. Optionally, the total ticket payment can also be used as the box office for movie theaters, theaters, or concert halls.

In some embodiments, the aforementioned reporting may include:

In some embodiments, at least one of the above-mentioned eye recognition results and user information statistics results may be sent to the management background through wired or wireless methods. Optionally, the management background may perform subsequent processing such as summarizing the above-mentioned eye recognition results and user information statistics results.

In some embodiments, the device for realizing information statistics provided by the embodiments of the present disclosure includes a processor and a memory storing program instructions; the processor is configured to execute the above-mentioned method for realizing information statistics when the program instructions are executed.

Referring to FIG. 2, in some embodiments, the structure of the foregoing apparatus 200 for implementing information statistics is shown in FIG. 2, and includes:

A processor (processor) 210 and a memory (memory) 220 may also include a communication interface (Communication Interface) 230 and a bus 240. Among them, the processor 210, the communication interface 230, and the memory 220 can communicate with each other through the bus 240. The communication interface 230 can be used for information transmission. The processor 210 may call logical instructions in the memory 220 to execute the method for realizing information statistics in the foregoing embodiment.

In addition, the aforementioned logic instructions in the memory 220 may be implemented in the form of software functional units and when sold or used as independent products, they may be stored in a computer readable storage medium.

As a computer-readable storage medium, the memory 220 may be used to store software programs and computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 210 executes functional applications and data processing by running the program instructions/modules stored in the memory 220, that is, implements the method for realizing information statistics in the foregoing method embodiment.

The memory 220 may include a program storage area and a data storage area. The program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal device, and the like. In addition, the memory 220 may include a high-speed random access memory, and may also include a non-volatile memory.

Referring to FIG. 3, in some embodiments, the apparatus 200 for realizing information statistics provided by the embodiments of the present disclosure includes:

The eye displacement sensor 310 is configured to perform eye recognition on the user to obtain an eye recognition result;

The statistics module 320 is configured to perform user information statistics on the environment where the user is located according to the eye recognition result, and obtain the user information statistics result.

In some embodiments, the eye displacement sensor 310 may be configured as:

Real-time eye recognition; or

Perform eye recognition periodically; or

Perform eye recognition when the first preset condition is met.

In some embodiments, in the case of performing eye recognition when the first preset condition is satisfied, the first preset condition for performing eye recognition may be considered according to actual conditions such as the activity development characteristics of the environment in which the user is located. Optionally, the first preset condition can be set as: reaching a specific value such as 20%, 50%, 80%, etc. of the total duration of the performance at the beginning or after the activity in the environment where the user is located, or greater than or equal to 20% and less than or equal to 80% The eye recognition is performed while waiting for a specific value range; or, the first preset condition may be set as: the eye recognition is performed immediately after the activity in the environment where the user is located.

In some embodiments, the eye displacement sensor 310 may be configured as:

In some embodiments, the statistics module 320 may be configured as:

Real-time user information statistics; or

Periodic user information statistics; or

Perform user information statistics when the second preset condition is met.

In some embodiments, the statistics module 320 may be configured as:

The number of users at a single moment;

Maximum number of users;

Minimum number of users.

Referring to FIG. 4, in some embodiments, an analysis module 330 may be further included, configured to analyze the user information statistical result to obtain the user information analysis result.

In some embodiments, the analysis module 330 may be configured to:

In some embodiments, when analyzing the user information statistics result, the price may also be combined to obtain the user information analysis result embodied as the total price. For example, the number of users as the result of user information statistics is compared with the ticket price as the price. Multiply to get the total ticket price of the user information analysis result. Optionally, the total ticket payment can also be used as the box office for movie theaters, theaters, or concert halls.

In some embodiments, the analysis module 330 may be a data processing chip, a single-chip microcomputer, etc., or include a logic circuit to implement the corresponding functions described above.

Referring to FIG. 5, in some embodiments, a transmitter 340 may be further included, configured to report at least one of the eye recognition result and the user information statistics result.

In some embodiments, the transmitter 340 may be configured to:

In some embodiments, the transmitter 340 may be a data processing chip, a single-chip microcomputer, a signal transmitter, etc., or include a logic circuit to implement the above-mentioned corresponding functions.

In some embodiments, the eye displacement sensor 310 may be a camera.

In some embodiments, the number of eye displacement sensors 310 may be one or more than one. Optionally, the position setting of different eye displacement sensors 310 may be performed according to the layout and pattern of the environment where the user is located, so as to effectively identify the user in the above-mentioned environment.

In some embodiments, the statistics module 320 may be a data processing chip, a single-chip microcomputer, etc., or include a logic circuit to implement the above-mentioned corresponding functions.

Referring to FIG. 6, the product 400 for realizing information statistics provided by the embodiment of the present disclosure includes the above-mentioned device 200 for realizing information statistics.

In some embodiments, the aforementioned product 400 for realizing information statistics may be a system for realizing information statistics in the form of a server or the like. Optionally, the above-mentioned products may also include other control circuits, auxiliary circuits, structures, etc., to support the normal operation of the device 200 for realizing information statistics.

The method, device, and product for realizing information statistics provided by the embodiments of the present disclosure use the eye recognition result obtained by performing eye recognition on the user as the basis for performing user information statistics on the environment where the user is located. This on-site statistical method improves The accuracy of the statistical basis further improves the accuracy of the statistical results.

The embodiments of the present disclosure provide a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are configured to execute the above-mentioned method for realizing information statistics.

The embodiments of the present disclosure provide a computer program product, including a computer program stored on a computer-readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer executes the above-mentioned realization information statistics Methods.

The aforementioned computer-readable storage medium may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.

The computer-readable storage medium and computer program product provided by the embodiments of the present disclosure use the eye recognition result obtained from the user’s eye recognition as the basis for user information statistics of the user’s environment. This on-site statistical method improves The accuracy of the statistical basis further improves the accuracy of the statistical results.

The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which can be a personal computer, a server, or a network). Equipment, etc.) execute all or part of the steps of the method of the embodiment of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc. A medium that can store program codes, or it can be a transient storage medium.

The above description and drawings sufficiently illustrate the embodiments of the present disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The examples only represent possible changes. Unless explicitly required, the individual components and functions are optional, and the order of operations can be changed. Parts and features of some embodiments may be included in or substituted for parts and features of other embodiments. The scope of the embodiments of the present disclosure includes the entire scope of the claims and all available equivalents of the claims. When used in this application, although the terms "first", "second", etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, without changing the meaning of the description, the first element can be called the second element, and likewise, the second element can be called the first element, as long as all occurrences of the "first element" are renamed consistently and all occurrences "Second component" can be renamed consistently. The first element and the second element are both elements, but they may not be the same element. Moreover, the terms used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates, the singular forms "a" (a), "an" (an) and "the" (the) are intended to also include plural forms . Similarly, the term "and/or" as used in this application refers to any and all possible combinations that include one or more of the associated lists. In addition, when used in this application, the term "comprise" (comprise) and its variants "comprises" and/or including (comprising) and the like refer to the stated features, wholes, steps, operations, elements, and/or The existence of components does not exclude the existence or addition of one or more other features, wholes, steps, operations, elements, components, and/or groups of these. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, or device that includes the element. In this article, each embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments can be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method parts disclosed in the embodiments, then the related parts can be referred to the description of the method parts.

Those skilled in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software may depend on the specific application and design constraint conditions of the technical solution. Those skilled in the art may use different methods for each specific application to realize the described functions, but such realization should not be considered as going beyond the scope of the embodiments of the present disclosure. Those skilled in the art can clearly understand that, for the convenience and conciseness of the description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units may only be a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, the functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.

The flowcharts and block diagrams in the accompanying drawings show the possible implementation architecture, functions, and operations of the system, method, and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more options for realizing the specified logic function. Execute instructions. In some alternative implementations, the functions marked in the block may also occur in a different order from the order marked in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the drawings, the operations or steps corresponding to different blocks can also occur in a different order than that disclosed in the description, and sometimes there is no specific operation or step between different operations or steps. order. For example, two consecutive operations or steps can actually be performed substantially in parallel, and they can sometimes be performed in the reverse order, which may depend on the functions involved. Each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by dedicated hardware Realized in combination with computer instructions.

Claims

A method for realizing information statistics, including:

Perform eye recognition on the user to obtain the result of eye recognition;

Perform user information statistics on the environment where the user is located according to the eye recognition result to obtain user information statistics results.
The method of claim 1, wherein performing the eye recognition comprises:

Perform said eye recognition in real time; or

Perform said eye recognition periodically; or

The eye recognition is performed when the first preset condition is satisfied.
The method according to claim 1, wherein said performing eye recognition on the user comprises:

Identify the eyes of the user within a specific location range in the environment where the user is located; or

Identify the user's eyes within a non-specific location range in the environment where the user is located.
The method according to claim 3, wherein said performing eye recognition on the user to obtain an eye recognition result comprises:

In the case that there are eyes of the user within the range of the position where the recognition is performed, obtaining the eye recognition result is that the eyes of the user are recognized; or

In the case where the user's eyes within the recognized position range face the viewing direction, the obtained eye recognition result is that the user's eyes are recognized.
5. The method according to any one of claims 1 to 4, wherein, performing user information statistics on the environment in which the user is located according to the eye recognition result comprises:

Real-time statistics of the user information; or

Perform statistics on the user information periodically; or

The user information statistics are performed when the second preset condition is met.
The method according to claim 5, wherein performing user information statistics on the environment in which the user is located according to the eye recognition result comprises:

For users whose eyes are recognized, the number of users in a part or all of the areas in the environment where the user is located is counted.
The method according to claim 6, wherein the number of users includes at least one of the following:

The number of users at a single moment;

At least one of the number of users and changes in the number of users at different moments;

Maximum number of users;

Minimum number of users.
The method according to claim 7, wherein the different moments are consecutive or separated different moments.
The method according to any one of claims 1 to 8, further comprising:

The user information statistical result is analyzed to obtain the user information analysis result.
The method according to claim 9, wherein analyzing the user information statistical result to obtain the user information analysis result comprises:

According to the corresponding relationship between the user information statistical result and the user information analysis result, the user information analysis result corresponding to the user information statistical result is determined.
The method according to claim 10, wherein determining the user information analysis result corresponding to the user information statistical result comprises:

Score the watched content according to the score of the watched content corresponding to the user information statistical result; or

According to the level of the watched content corresponding to the user information statistical result, the watched content is classified into levels.
The method according to claim 1, further comprising:

At least one of the eye recognition result and the user information statistics result is reported.
The method according to claim 12, wherein the reporting comprises:

At least one of the eye recognition result and the user information statistical result is sent to the management background.
The method according to claim 1, wherein the environment of the user is:

Cinema, theater or concert hall.
A device for realizing information statistics includes a processor and a memory storing program instructions, and the processor is configured to execute the method according to any one of claims 1 to 14 when the program instructions are executed.
A device for realizing information statistics, including:

The eye displacement sensor is configured to perform eye recognition on the user to obtain an eye recognition result;

The statistics module is configured to perform user information statistics on the environment where the user is located according to the eye recognition result to obtain the user information statistics result.
The device according to claim 16, wherein the eye displacement sensor is configured to:

Perform said eye recognition in real time; or

Perform said eye recognition periodically; or

The eye recognition is performed when the first preset condition is satisfied.
The device according to claim 16, wherein the eye displacement sensor is configured to:

Identify the eyes of the user within a specific location range in the environment where the user is located; or

Identify the user's eyes within a non-specific location range in the environment where the user is located.
The device according to claim 18, wherein the eye displacement sensor is configured to:

In the case that there are eyes of the user within the range of the position where the recognition is performed, obtaining the eye recognition result is that the eyes of the user are recognized; or

In the case where the user's eyes within the recognized position range face the viewing direction, the obtained eye recognition result is that the user's eyes are recognized.
The device according to any one of claims 16 to 19, wherein the statistics module is configured to:

Real-time statistics of the user information; or

Perform statistics on the user information periodically; or

The user information statistics are performed when the second preset condition is met.
The device according to claim 20, wherein the statistics module is configured to:

For users whose eyes are recognized, the number of users in a part or all of the areas in the environment where the user is located is counted.
The apparatus according to claim 21, wherein the number of users includes at least one of the following:

The number of users at a single moment;

At least one of the number of users and changes in the number of users at different moments;

Maximum number of users;

Minimum number of users.
The device according to claim 22, wherein the different moments are consecutive or separated different moments.
The device according to any one of claims 16 to 23, further comprising:

The analysis module is configured to analyze the user information statistical result to obtain the user information analysis result.
The device according to claim 24, wherein the analysis module is configured to:

According to the corresponding relationship between the user information statistical result and the user information analysis result, the user information analysis result corresponding to the user information statistical result is determined.
The device according to claim 25, wherein the analysis module is configured to:

Score the watched content according to the score of the watched content corresponding to the user information statistical result; or

According to the level of the watched content corresponding to the user information statistical result, the watched content is classified into levels.
The device according to claim 24, wherein the analysis module is a data processing chip or includes a logic circuit.
The apparatus according to claim 16, further comprising:

The transmitter is configured to report at least one of the eye recognition result and the user information statistics result.
The apparatus of claim 28, wherein the transmitter is configured to:

At least one of the eye recognition result and the user information statistical result is sent to the management background.
The device according to claim 16, wherein the eye displacement sensor is a camera.
The device according to claim 16, wherein the number of the eye displacement sensor is one or more.
The device according to claim 16, wherein the statistics module is a data processing chip or includes a logic circuit.
The apparatus according to claim 16, wherein the environment of the user is:

Cinema, theater or concert hall.
A product for realizing information statistics, comprising the device according to any one of claims 15 or 16 to 33.
A computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being configured to execute the method according to any one of claims 1 to 14.
A computer program product, comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, the computer executes any one of claims 1 to 14 The method described.