Visitor management and verification method and system of exhibition self-service registration machine

Abstract

The invention provides a visitor management and verification method and system for an exhibition self-service registration machine, and relates to the field of data processing.The method comprises the steps that an exhibition participation request is received in response, and a preset primary collection interface is called for content filling; in response to scanning of the secondary participation code by any secondary user side, sending a preset secondary acquisition interface to the secondary user side for content filling; in response to completion of content filling by each user side, sending payment information generated by the automatic registration machine based on the area number corresponding to all the acquisition areas to the primary user side; controlling the automatic registration machine to perform interface printing in response to fee payment of the main-level user side; and in response to the fact that registration operation is executed on each real exhibition bill, creating an exhibit evaluation area in the acquisition interface corresponding to each real exhibition bill, and uploading evaluation information uploaded by the corresponding user side to the exhibit evaluation area. The management efficiency is at least improved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a visitor management and verification method and system of a conference and exhibition self-service registration machine. Background Art

[0002] In the exhibition industry, organizers usually need to efficiently manage the registration, payment and exhibition process of participants to ensure the smooth progress of exhibition activities. The traditional exhibition registration process often relies on manual operations, including manual registration form filling, on-site payment, manual information verification and other steps, which is not only time-consuming and labor-intensive, but also prone to errors, affecting exhibition efficiency and participant experience. In addition, the evaluation of exhibits and exhibition effects after the exhibition also relies on paper questionnaires or email collection, which makes data processing cumbersome and has a long feedback cycle.

[0003] In response to the above technical problems, there is an urgent need to provide a visitor management and verification method and system for a conference and exhibition self-service registration machine, aiming to optimize the conference and exhibition participation process and improve management efficiency through automated processes. Summary of the invention

[0004] Based on the above problems, the present invention is proposed to provide a visitor management and verification method and system for a self-service registration machine for an exhibition that overcomes the above problems or at least partially solves the above problems.

[0005] According to one aspect of the present invention, a visitor management and verification method for a conference and exhibition self-service registration machine is provided, comprising the following steps: In response to receiving a conference and exhibition participation request sent by any primary user terminal, calling a preset primary collection interface and sending it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area; In response to any secondary user terminal scanning the secondary participation code, the retrieved preset secondary collection interface including the secondary collection area is sent to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset primary collection interface; In response to each user terminal completing the content filling, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas is sent to the main-level user terminal; In response to the primary user terminal completing the fee payment based on the payment information, the automatic registration machine is controlled to send the preset primary collection interface to the self-service printer for interface printing, and obtains each actual exhibition ticket corresponding to each user terminal; In response to the registration operation being performed on each real exhibition ticket, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area.

[0006] Optionally, in the method according to the present invention, in response to receiving a conference and exhibition participation request sent by any primary user terminal, calling a preset primary collection interface and sending it to the primary user terminal for content filling, includes: In response to receiving a conference and exhibition participation request sent by any primary user terminal, triggering a primary acquisition plug-in pre-installed in the primary user terminal to perform face acquisition to obtain a primary face image; Retrieving a preset image evaluation strategy to perform image evaluation on the primary face image, and comparing the primary image score obtained based on the evaluation result with the retrieved preset score threshold; In response to the score of the main-level image being greater than the retrieved preset score threshold, retrieving a preset prohibited meeting list, wherein the preset prohibited meeting list includes each prohibited facial image; Comparing each prohibited face image in the preset prohibited list with the primary face image to obtain the image similarity corresponding to each prohibited face image; In response to the similarities of the images being less than a preset similarity threshold, a preset main-level acquisition interface is retrieved and sent to the main-level user terminal for content filling.

[0007] Optionally, in the method according to the present invention, calling a preset image evaluation strategy to perform image evaluation on the primary face image, and numerically comparing the primary image score obtained based on the evaluation result with the called preset score threshold, comprises: Obtaining a left frame line, a right frame line and an upper frame line respectively corresponding to the left, right and upper directions of the main face image, and inputting the main face image into a pre-trained face recognition model to determine a face area in the main face image; Performing pixel processing on the facial region to obtain facial pixel points constituting the facial region; In response to the presence of facial pixel points greater than a preset number that are arranged continuously in any frame line, determining the retrieved preset first score as the primary image score corresponding to the primary face image, wherein the preset first score is less than or equal to the retrieved preset score threshold; In response to the absence of a number of facial pixel points greater than a preset number that are continuously arranged in each frame line, obtaining a facial center point corresponding to the facial region and an image center point corresponding to the primary facial image in the primary facial image, and generating a facial connection line connecting the facial center point and the image center point; Acquire the length of the facial line segment corresponding to the facial connection line, and compare the length of the facial line segment with the retrieved preset line segment length; In response to the facial line segment length being greater than the preset line segment length, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the facial line segment length being less than or equal to the preset line segment length, feature extraction is performed on the facial area, and image evaluation is performed on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image.

[0008] Optionally, in the method according to the present invention, performing image evaluation on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image includes: Acquire an eye sub-region corresponding to the eye feature, an ear sub-region corresponding to the ear feature, and a mouth sub-region corresponding to the mouth feature located in the face region; Obtaining the number of features corresponding to the eye sub-region and the ear sub-region respectively; In response to the number of any one of the features not being two, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the number of each feature being two, performing image evaluation based on the horizontal steering dimension, the vertical steering dimension, and the plane tilt dimension based on the eye sub-region, the ear sub-region, and the mouth sub-region, respectively, to obtain a first evaluation value, a second evaluation value, and a third evaluation value; The first evaluation value, the second evaluation value, and the third evaluation value are respectively multiplied by the retrieved first weight value, the second weight value, and the third weight value to obtain a first product result, a second product result, and a third product result; The first multiplication result, the second multiplication result and the third multiplication result are summed up to obtain a primary image score corresponding to the primary face image.

[0009] Optionally, in the method according to the present invention, image evaluation based on the horizontal steering dimension, the vertical steering dimension and the plane tilt dimension is performed based on the eye sub-region, the ear sub-region and the mouth sub-region respectively to obtain a first evaluation value, a second evaluation value and a third evaluation value, including: generating a first ear contour and a second ear contour that circumscribe the two ear sub-regions respectively, and performing contour comparison between the first ear contour and the second ear contour to obtain a contour overlap ratio; Normalizing the contour overlap rate to obtain a first evaluation value based on a horizontal steering dimension; Acquire a first eye center point and a second eye center point corresponding to different eye sub-regions respectively, and connect the first eye center point with the second eye center point to obtain an eye connection line; Determine the center point of the eye connection line, and generate a regional connection line extending vertically to the mouth sub-region with the center point as the starting point; Acquire the length of the area segment corresponding to the area connecting line, and perform normalization processing on the length of the area segment to obtain a second evaluation value based on the vertical steering dimension; Taking any end point of the eye connection line as a starting point, a horizontal reference line extending in the horizontal direction is generated, and the line segment angle between the eye connection line and the horizontal reference line is obtained, and the line segment angle is normalized to obtain a third evaluation value based on the plane tilt dimension.

[0010] Optionally, in the method according to the present invention, in response to any secondary user terminal scanning the secondary participation code, sending the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, filling the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface includes: In response to any secondary user terminal scanning the secondary participation code, the secondary user terminal is aggregated into a conference and exhibition participation group, and a terminal scanning time corresponding to the secondary user terminal is obtained; In response to no other secondary user terminal scanning the secondary participation code within a preset period of time after the terminal scanning moment, obtaining the number of secondary terminals corresponding to each secondary user terminal in the exhibition participation group that is not pre-marked with priority, and comparing the number of secondary terminals with the retrieved preset conference participation threshold; In response to the number of the secondary terminals being greater than the preset conference participation threshold, obtaining the terminal authority level corresponding to each secondary user terminal in the conference participation group, and sorting the secondary user terminals from high to low based on the terminal authority level to obtain a terminal sequence; Obtaining a quantity difference between the corresponding number of secondary terminals and a preset conference participation threshold, and removing each secondary user terminal corresponding to the quantity difference from the conference participation group in reverse order based on the terminal sequence to obtain an updated conference participation group; The retrieved preset secondary collection interface including the secondary collection area is sent to each secondary user terminal in the exhibition participation group for content filling, and when any secondary user terminal completes filling in the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset main collection interface.

[0011] Optionally, in the method according to the present invention, each collection area includes a mandatory frame and a fillable frame, wherein the mandatory frame contains mandatory slots each having a mandatory attribute, and the fillable frame contains fillable slots each having a fillable attribute; In response to each user terminal completing the content filling, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas is sent to the main-level user terminal, including: In response to receiving a filling completion signal sent by any user terminal based on a corresponding collection area, obtaining the collection area corresponding to the user terminal, and determining the content of each slot located in the collection area; In response to the absence of filled content in any required slot, marking the required slot with a slot corresponding to a preset first pixel value, and determining the acquisition area as a poorly filled state; Determine each fillable slot that has fill-in content as a fillable determination group, and obtain the total number of fillable slots in the fillable frame and the actual number of fillable slots in the fillable determination group; Calculate the ratio of the actual number that can be filled in to the total number that can be filled in, and compare the obtained fillable ratio with the retrieved preset ratio threshold; In response to the fillable proportion being less than the preset proportion threshold, the fillable frame is marked with a frame corresponding to a preset second pixel value, and the acquisition area is determined to be in a poorly filled state; In response to any collection area being in a poorly filled state, the collection area is sent to a corresponding user terminal for content filling; In response to all collection areas being in good filling status, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the area quantity corresponding to all collection areas is sent to the main-level user terminal.

[0012] Optionally, in the method according to the present invention, in response to each real exhibition ticket being registered, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area, including: In response to the registration operation being performed on each real exhibition ticket, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area, including: In response to the registration operation being performed on each of the actual exhibition tickets, an exhibit evaluation area is created in each of the collection interfaces corresponding to each of the actual exhibition tickets, wherein the exhibit evaluation area includes a display sub-area, a score sub-area, and an evaluation sub-area; In response to any user terminal interacting with the corresponding exhibit evaluation area, the user terminal is determined as a target terminal, and an exhibit acquisition plug-in pre-installed in the target terminal is triggered to perform image acquisition to obtain an exhibit acquisition image; Inputting the acquired image of the exhibit into a pre-trained contour recognition model to determine the contours of each exhibit in the acquired image of the exhibit; In response to the user terminal performing an exhibit interaction for a preset time on any exhibit outline, the active exhibits corresponding to the exhibit outline are aggregated into an exhibit evaluation group, and the evaluation score and evaluation content input by the user terminal based on the active exhibits are obtained; Acquire all evaluation contents corresponding to the same active exhibit in the exhibit evaluation group and determine the quantity, and obtain the quantity of each evaluation corresponding to each active exhibit; Aggregate the activity exhibits whose corresponding evaluation numbers are greater than a preset evaluation threshold into a comprehensive display group, and average the evaluation scores corresponding to the same activity exhibit in the comprehensive display group to obtain the evaluation averages corresponding to the activity exhibits; Determine the activity exhibit with the largest corresponding evaluation mean as the target exhibit, and combine the target exhibit, the evaluation mean corresponding to the target exhibit, and each evaluation content into evaluation information; The target exhibits and the evaluation mean values ​​included in the evaluation information are respectively filled into the display sub-area and the score sub-area, and each evaluation content included in the evaluation information is filled into the evaluation sub-area for scrolling display.

[0013] Optionally, in the method according to the present invention, the method further comprises: The evaluation scores corresponding to the same activity exhibit in the comprehensive display group are averaged to obtain the evaluation averages corresponding to the activity exhibits, including: In response to any activity exhibit including an evaluation score corresponding to a primary user terminal, the evaluation score corresponding to the primary user terminal is multiplied by the retrieved primary weight value corresponding to the primary user terminal to obtain an updated primary score corresponding to the primary user terminal; In response to any activity exhibit including an evaluation score corresponding to a secondary user terminal, the evaluation score corresponding to the secondary user terminal is multiplied by the retrieved secondary weight value corresponding to the secondary user terminal to obtain an updated secondary score corresponding to the secondary user terminal; The average of all the secondary scores and the primary scores corresponding to the same activity exhibit in the comprehensive display group is calculated to obtain the evaluation averages corresponding to the activity exhibits.

[0014] According to another aspect of the present invention, a visitor management and verification system for a conference and exhibition self-service registration machine is provided, comprising: The participation request module is configured to, in response to receiving a conference and exhibition participation request sent by any primary user terminal, retrieve a preset primary collection interface and send it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area; The content filling module is configured to, in response to any secondary user terminal scanning the secondary participation code, send the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, fill the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface; The payment determination module is configured to send the preset primary collection interface to the automatic registration machine in response to each user terminal completing the content filling, and send the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas to the primary user terminal; The interface printing module is configured to control the automatic registration machine to send the preset main-level collection interface to the self-service printer for interface printing in response to the main-level user terminal completing the fee payment based on the payment information, so as to obtain each actual exhibition ticket corresponding to each user terminal; The exhibit evaluation module is configured to create an exhibit evaluation area in the collection interface corresponding to each real exhibition ticket in response to the registration operation being performed on each real exhibition ticket, and upload the evaluation information uploaded by the corresponding user terminal to the exhibit evaluation area.

[0015] According to the solution of the present invention, firstly, the present invention greatly improves the automation level of exhibition registration. Through the preset primary and secondary collection interfaces, users can complete the information filling on their respective user terminals conveniently and quickly without the need for tedious manual operations. This not only saves valuable time resources, but also significantly reduces the risk of errors caused by manual operations, thereby ensuring that the registration process for exhibition activities is more efficient and accurate; Secondly, the present invention optimizes the payment process and improves the convenience of payment. After the user completes the content filling, the automatic registration machine will instantly generate payment information and send it to the primary user terminal. The user only needs to complete the payment according to the prompts. This process not only simplifies the payment steps, but also avoids the confusion and delays that may be caused by on-site payment, further improving the efficiency of the exhibition; Furthermore, the present invention can also realize the instant printing of exhibition tickets through the self-service printer, which provides great convenience for participants. Participants no longer need to wait for manual printing or to collect paper tickets, but can easily obtain their own exhibition tickets on the self-service printer. This not only saves the participants' time, but also improves the order and efficiency of the exhibition site; In addition, the present invention also innovatively introduces an exhibit evaluation area, which provides strong support for the effect evaluation after the exhibition. Participants can fill in the evaluation information of the exhibits in the corresponding collection interface, and this information will be automatically uploaded and summarized to facilitate the organizer to conduct subsequent data analysis and effect evaluation. This function not only simplifies the data collection process, but also shortens the feedback cycle, providing valuable data support for the continuous improvement of the exhibition; the present invention optimizes the exhibition participation process through automated processes and significantly improves management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart showing a visitor management and verification method of a conference and exhibition self-service registration machine according to an embodiment of the present invention is shown; Figure 2 A schematic diagram of a preset main-level acquisition interface in this embodiment is shown; Figure 3 A structural block diagram of a visitor management and verification system of a conference and exhibition self-service registration machine according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0018] To solve the problems existing in the above-mentioned prior art, an embodiment of the present invention provides a visitor management and verification method for a self-service registration machine for an exhibition, which can be executed in a computing device, wherein the computing device can be understood as a computer or mobile phone with data processing function.

[0019] Figure 1 A method flow chart showing a visitor management and verification method of a conference and exhibition self-service registration machine in this embodiment is shown as follows: Figure 1 As shown, the method starts at step S101, wherein step S101 includes the following contents: In response to receiving an exhibition participation request sent by any primary user terminal, a preset primary collection interface is retrieved and sent to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area.

[0020] For example, in this embodiment, when the server receives a conference and exhibition participation request (the conference and exhibition participation request is generally used to identify that the user wishes to participate in the corresponding conference and exhibition activities) sent from any primary user terminal through a network (such as the Internet, a dedicated network, etc.), the server immediately responds, retrieves a pre-designed primary collection interface from an internal database, and sends it to the corresponding primary user terminal for content filling. Here, this interface is designed to simplify the information entry process of the primary user, aiming to improve the efficiency and accuracy of data collection. The corresponding preset primary collection interface mainly includes an identification area filled with a secondary participation code and a primary collection area, wherein the identification area is mainly preset with a secondary participation code, which is mainly used to collect information of the corresponding secondary user terminal, and the primary collection area is used to collect information of the primary user terminal. Here, the collected information may include but is not limited to the basic information of the primary user (such as name, contact information, address, etc.), specific needs for participating in the conference and exhibition (such as booth size, location preference, required services, etc.) and any additional notes or special requirements.

[0021] It should be noted that, in this embodiment, the primary user terminal can be understood as a terminal used by a primary user with corresponding active organizing capabilities, and the secondary user terminal that appears in the subsequent steps can be understood as a terminal used by a secondary user with corresponding passive organizing capabilities. The primary user can sign up for the corresponding exhibition activities by receiving the corresponding preset collection interface, while the secondary user needs to sign up for the corresponding exhibition activities by scanning the secondary participation code located in the preset primary collection interface.

[0022] Further, in this embodiment, the above-mentioned "in response to receiving a conference and exhibition participation request sent by any primary user terminal, calling a preset primary collection interface and sending it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area" may also include the following steps: In response to receiving a conference and exhibition participation request sent by any primary user terminal, triggering a primary acquisition plug-in pre-installed in the primary user terminal to perform face acquisition to obtain a primary face image; Retrieving a preset image evaluation strategy to perform image evaluation on the primary face image, and comparing the primary image score obtained based on the evaluation result with the retrieved preset score threshold; In response to the score of the main-level image being greater than the retrieved preset score threshold, retrieving a preset prohibited meeting list, wherein the preset prohibited meeting list includes each prohibited facial image; Comparing each prohibited face image in the preset prohibited list with the primary face image to obtain the image similarity corresponding to each prohibited face image; In response to the similarities of the images being less than a preset similarity threshold, a preset main-level acquisition interface is retrieved and sent to the main-level user terminal for content filling.

[0023] For example, in this embodiment, after receiving a conference and exhibition participation request sent by any primary user terminal, in order to improve the security of holding conference and exhibition activities and effectively prevent potential security risks, the server can perform a corresponding identity check on each primary user terminal, and only send a corresponding preset primary collection interface to the corresponding primary user terminal for content filling only if the check result is passed, so as to help the primary user terminal complete the corresponding conference and exhibition registration, wherein the corresponding specific process can be described as follows: First, when any primary user terminal sends a request for participating in an exhibition to the exhibition management system, the server immediately responds and triggers the primary acquisition plug-in pre-installed in the primary user terminal. The plug-in is designed to automatically start the camera for face acquisition under the premise of authorization by the corresponding primary user, and quickly capture the face image of the current primary user terminal, that is, the primary face image. This process ensures the immediacy and convenience of data acquisition; Subsequently, the server calls the preset image evaluation strategy to evaluate the quality of the captured primary face image. Here, the preset image evaluation strategy mainly judges the quality of the captured primary face image through multiple dimensions, aiming to eliminate low-quality images caused by poor shooting conditions. Based on the evaluation results, the system generates a primary image score, which directly reflects the quality of the face image. Next, the server compares the obtained primary image score with a preset score threshold. Here, the preset score threshold is set based on multiple experiments and practical application experience, aiming to ensure that only images that meet a certain quality standard can enter the subsequent recognition process. The specific value of the preset score threshold is not limited in this embodiment; Among them, if the score of the main-level image is higher than the preset score threshold, it indicates that the quality of the facial image is good and suitable for further identity comparison. At this time, the server will further retrieve the preset participant ban list, which stores a series of facial images of people who are banned from participating in this exhibition for various reasons (such as past bad records, unpaid fees, etc.), that is, various banned facial images. These images are pre-processed to ensure consistency with the main-level facial image in terms of format, resolution, etc.; and when the main-level image score is less than or equal to the retrieved preset score threshold, it indicates that the main-level personnel using the corresponding main-level user terminal need to collect faces again until a main-level facial image with a corresponding main-level image score greater than the retrieved preset score threshold is obtained; Next, the server will compare each banned face image in the preset banned list with the main face image one by one. This step is completed by calculating the feature similarity between the two. The features may include but are not limited to the shape, size and relative position of key parts such as facial contours, eyes, nose, mouth, etc. The comparison result is presented in the form of image similarity. The higher the similarity, the more likely the two images are of the same person. Here, since the image comparison method for two images is a prior art, this embodiment does not elaborate on the specific comparison process. Finally, the server checks whether the similarities of all images are lower than the preset similarity threshold. The preset similarity threshold is set according to the accuracy of the comparison algorithm and the actual application requirements, aiming to accurately distinguish between truly banned persons and legal participants. If the similarities of all images are lower than the threshold, it means that the user corresponding to the main user terminal is not on the banned list. The server can call up the preset main-level acquisition interface and send it to the main-level user terminal to fill in the content.

[0024] Through the above implementation methods, this embodiment not only improves the efficiency and accuracy of exhibition participation management, but also effectively prevents potential security risks, providing a strong guarantee for the successful holding of exhibition activities.

[0025] Furthermore, in this embodiment, the above-mentioned “calling a preset image evaluation strategy to perform image evaluation on the primary face image, and numerically comparing the primary image score obtained based on the evaluation result with the called preset score threshold” may also include the following steps: Obtaining a left frame line, a right frame line and an upper frame line respectively corresponding to the left, right and upper directions of the main face image, and inputting the main face image into a pre-trained face recognition model to determine a face area in the main face image; Performing pixel processing on the facial region to obtain facial pixel points constituting the facial region; In response to the presence of facial pixel points greater than a preset number that are arranged continuously in any frame line, determining the retrieved preset first score as the primary image score corresponding to the primary face image, wherein the preset first score is less than or equal to the retrieved preset score threshold; In response to the absence of a number of facial pixel points greater than a preset number that are continuously arranged in each frame line, obtaining a facial center point corresponding to the facial region and an image center point corresponding to the primary facial image in the primary facial image, and generating a facial connection line connecting the facial center point and the image center point; Acquire the length of the facial line segment corresponding to the facial connection line, and compare the length of the facial line segment with the retrieved preset line segment length; In response to the facial line segment length being greater than the preset line segment length, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the facial line segment length being less than or equal to the preset line segment length, feature extraction is performed on the facial area, and image evaluation is performed on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image.

[0026] For example, in this embodiment, the specific process of performing image evaluation on the primary face image based on the preset image evaluation strategy may be as follows: First, using image processing technology, the left frame line, right frame line and upper frame line corresponding to the left, right and upper directions are identified and obtained from the main face image. These frame lines are used to define the approximate position of the face in the image. Subsequently, the main face image is input into a pre-trained face recognition model. The model can accurately determine the face area in the image, providing a basis for subsequent processing. It should be noted that the face recognition model can be obtained based on a neural network learning model or a machine learning model. Next, after the facial region is determined, the region is pixelated. The purpose of this step is to divide the facial region into a number of facial pixels, so as to facilitate the subsequent analysis of the continuity, quantity and other characteristics of the pixels. Next, the facial pixels on the left frame line, the right frame line and the upper frame line are analyzed for continuity, wherein the corresponding analysis results may include two corresponding situations: First, if there are facial pixels that are arranged continuously and the number of which is greater than a preset value on any frame line, it is considered that the face of the corresponding primary user has not been completely collected, that is, there is a corresponding missing. At this time, the preset first score (the score is less than or equal to the preset score threshold) can be directly determined as the primary image score corresponding to the primary face image, that is, the currently obtained primary face image does not meet a certain quality standard; Secondly, when there are no facial pixels arranged continuously and the number of which is greater than a preset value on each frame line, it indicates that the face of the corresponding primary user has been completely collected, and the next step of image quality analysis can be entered. Then, the facial center point of the facial area and the overall center point of the image can be further determined in the primary face image, and a facial connection line connecting the two center points can be generated; Then, the length of the face connection line is obtained and compared with the preset line segment length, wherein the corresponding comparison results include the following two cases: First, if the length of the facial line segment is greater than the preset line segment length, it is considered that the position of the face in the image is far from the center, which may indicate that the image composition is poor or the face is not well displayed. At this time, the retrieved preset first score is also determined as the primary image score corresponding to the primary face image; Secondly, if the length of the facial line segment is less than or equal to the preset line segment length, it is considered that the position of the face in the image is relatively standard. At this time, the facial area can be feature extracted to obtain several different facial features. These features may include key parts such as eyes, nose, and mouth. Based on these features, the main face image is further comprehensively evaluated to obtain a score corresponding to the image quality as the main image score.

[0027] Through the above steps, the present invention can achieve objective evaluation of the quality of primary face images. The method not only takes into account factors such as the position and integrity of the face in the image, but also analyzes the detailed features of the face through feature extraction and image evaluation algorithms, thereby improving the accuracy and reliability of the evaluation.

[0028] It should be noted that the above implementation is only a preferred solution of the present invention and is not intended to limit the protection scope of the present invention. In practical applications, the present invention can be appropriately modified and adjusted according to specific needs and scenarios.

[0029] Furthermore, in this embodiment, the above-mentioned “performing an image evaluation on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image” may also include the following steps: Acquire an eye sub-region corresponding to the eye feature, an ear sub-region corresponding to the ear feature, and a mouth sub-region corresponding to the mouth feature located in the face region; Obtaining the number of features corresponding to the eye sub-region and the ear sub-region respectively; In response to the number of any one of the features not being two, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the number of each feature being two, performing image evaluation based on the horizontal steering dimension, the vertical steering dimension, and the plane tilt dimension based on the eye sub-region, the ear sub-region, and the mouth sub-region, respectively, to obtain a first evaluation value, a second evaluation value, and a third evaluation value; The first evaluation value, the second evaluation value, and the third evaluation value are respectively multiplied by the retrieved first weight value, the second weight value, and the third weight value to obtain a first product result, a second product result, and a third product result; The first multiplication result, the second multiplication result and the third multiplication result are summed up to obtain a primary image score corresponding to the primary face image.

[0030] For example, in this embodiment, the above-mentioned image evaluation based on the primary face image can be implemented based on the following method steps: First, appropriate image processing methods, such as convolutional neural networks (CNNs) in deep learning algorithms, can be used to preprocess the input primary face image to accurately locate and extract the eye sub-regions corresponding to the eye features, the ear sub-regions corresponding to the ear features, and the mouth sub-regions corresponding to the mouth features in the face area. In this step, these key feature areas can be accurately distinguished and segmented through a well-trained model, laying the foundation for subsequent analysis; Next, the number of features of the extracted eye sub-regions and ear sub-regions is counted. Specifically, for the eye sub-region, check whether it contains two independent eye features (i.e., the left eye and the right eye); for the ear sub-region, check whether it contains two independent ear features (left ear and right ear). This step is to confirm the integrity of the face in the image, because under normal circumstances, a standard face image should contain all the above features, and the number of each feature is two; Based on the statistical results of the number of features, the server makes a preliminary scoring judgment. If the number of any feature is not two (for example, only one eye or one ear is detected), it indicates that the primary user may have closed his eyes or turned his head when collecting the image. In this case, the server immediately determines the preset first score as the primary image score corresponding to the current primary face image and ends the subsequent evaluation process. If the number of all features is two, it indicates that the facial features in the image are complete, and then further image evaluation based on the horizontal steering dimension, the vertical steering dimension and the plane tilt dimension is performed, which specifically includes the following process: Horizontal steering dimension: evaluates whether the eye sub-region, the ear sub-region, and the mouth sub-region are symmetrical, that is, determines whether the primary user has a corresponding horizontal steering action when performing image acquisition, and determines a first evaluation value according to the evaluation result; Vertical steering dimension: evaluates whether the length between the eye sub-area and the mouth sub-area meets the standard, that is, determines whether the primary user lowers or raises his head when collecting images, and determines the second evaluation value based on the evaluation result; Plane tilt dimension: measures the tilt angle of the entire face relative to the image plane, including head tilt, to calculate the third evaluation value; Finally, the above three evaluation values ​​are multiplied by the first, second and third weight values ​​respectively, which are set according to the importance of each dimension in practical applications. Then, the three product results are summed to obtain the primary image score corresponding to the current primary face image. This score comprehensively reflects the quality of the image in terms of facial feature integrity, alignment and plane tilt, and provides an important basis for subsequent image recognition, analysis or screening.

[0031] Through the above implementation, the present invention not only realizes the refined evaluation of the quality of facial images, but also ensures the objectivity and accuracy of the evaluation results, greatly improving the value of facial images in practical applications.

[0032] Furthermore, in this embodiment, the above-mentioned “performing image evaluation based on the horizontal steering dimension, the vertical steering dimension, and the plane tilt dimension based on the eye sub-region, the ear sub-region, and the mouth sub-region, respectively, to obtain a first evaluation value, a second evaluation value, and a third evaluation value” may also include the following steps: generating a first ear contour and a second ear contour that circumscribe the two ear sub-regions respectively, and performing contour comparison between the first ear contour and the second ear contour to obtain a contour overlap ratio; Normalizing the contour overlap rate to obtain a first evaluation value based on a horizontal steering dimension; Acquire a first eye center point and a second eye center point corresponding to different eye sub-regions respectively, and connect the first eye center point with the second eye center point to obtain an eye connection line; Determine the center point of the eye connection line, and generate a regional connection line extending vertically to the mouth sub-region with the center point as the starting point; Acquire the length of the area segment corresponding to the area connecting line, and perform normalization processing on the length of the area segment to obtain a second evaluation value based on the vertical steering dimension; Taking any end point of the eye connection line as a starting point, a horizontal reference line extending in the horizontal direction is generated, and the line segment angle between the eye connection line and the horizontal reference line is obtained, and the line segment angle is normalized to obtain a third evaluation value based on the plane tilt dimension.

[0033] For example, in this embodiment, the corresponding process of performing image evaluation based on the horizontal steering dimension, the vertical steering dimension, and the plane tilt dimension can be described as follows: First, based on the two ear sub-regions located in the face region, edge detection and contour extraction algorithms can be used to implement a first ear contour and a second ear contour that are circumscribed to the two ear sub-regions, respectively. The corresponding edge detection and algorithms can include, for example, a Canny edge detector and a Hough transform to accurately depict the outer contour of the ear; Next, the first ear contour is compared with the second ear contour, and their coincidence rate is calculated. The coincidence rate can be obtained by comparing the pixel overlap of the two contours or the matching degree of the contour points. The higher the coincidence rate, the greater the similarity of the two ear contours; Next, the contour overlap rate can be normalized, and the obtained value is the first evaluation value based on the horizontal steering dimension, which reflects the symmetry of the left and right ear contours. It can be explained that the higher the symmetry, the larger the corresponding first evaluation value should be. Then, for the eye sub-region located in the facial region, a first eye center point and a second eye center point corresponding to the left and right eyes may be determined respectively, which may be achieved by an eye feature point detection algorithm, such as a method based on machine learning or deep learning; Then, the first eye center point is connected with the second eye center point to obtain an eye connection line, and the center point of the corresponding eye connection line is further obtained, and a regional connection line extending vertically to the mouth sub-area is generated with the center point as the starting point, wherein the corresponding regional connection line will be used to evaluate the facial features in the vertical direction; Then, by obtaining the length of the area segment corresponding to the area connection line and normalizing the length of the area segment, a second evaluation value based on the vertical steering dimension is obtained. It can be explained that when the length of the area segment is shorter, it indicates that the primary user may have lowered his head or raised his head when performing image acquisition, so the corresponding second evaluation value will be correspondingly lower; Then, a horizontal reference line extending in the horizontal direction can be generated starting from any end point of the eye connection line. This line will be used to evaluate the horizontal inclination of the facial area; The degree of inclination of the face on the plane is reflected by calculating the segment angle between the eye connecting line and the horizontal reference line, and the segment angle is normalized to obtain a third evaluation value based on the plane inclination dimension. It can be explained that the greater the degree of inclination, the lower the corresponding third evaluation value should be.

[0034] Through the above steps, this embodiment can comprehensively evaluate the performance of facial features in three dimensions: horizontal rotation, vertical rotation and plane tilt, and generate evaluation values ​​corresponding to different dimensions to complete the judgment of the image quality of the main face image, thereby ensuring that the main face image used subsequently can meet certain quality standards.

[0035] In step S102, the following contents are included: In response to any secondary user terminal scanning the secondary participation code, the retrieved preset secondary collection interface including the secondary collection area is sent to the secondary user terminal for content filling, and when the secondary user terminal completes filling in the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset main collection interface.

[0036] For example, in this embodiment, after the primary user terminal receives the preset primary collection interface, the primary user using the primary user terminal can make an invitation to attend the corresponding exhibition activity, such as spreading the exhibition activity to other people through broadcasting or chatting. When a secondary user other than the primary user is invited to participate in the corresponding exhibition activity, and after negotiating with the primary user to obtain a consent reply, the secondary user can scan the secondary participation code of the preset primary collection interface located on the primary user terminal based on the secondary user terminal used to complete the corresponding registration. When the server receives the scanning operation performed by any secondary user terminal, the server can send the retrieved preset secondary collection interface including the secondary collection area to the corresponding secondary user terminal for content filling, wherein the corresponding information content required to be filled in by the secondary user can be similar to or the same as the information content filled in by the primary user on the preset primary collection interface; and when the secondary user terminal completes the corresponding content filling, such as Figure 2 As shown, the corresponding secondary collection area can be filled into the preset collection interface, so that the preset collection interface can include the corresponding identification area, the primary collection area and the secondary collection area (in Figure 2 In the example, the secondary collection area includes secondary collection area one and secondary collection area two, which means that there are currently two secondary user terminals that have completed the corresponding content filling), thereby realizing the information aggregation of the registration information of different user terminals, and when the primary user terminal obtains the conference qualification, the secondary user terminal only needs to scan the secondary participation code of the corresponding primary user terminal to also obtain the corresponding conference qualification. There is no need to send a conference participation request to the server again, so that the conference qualification can be issued to multiple people, and there is no need to perform identity checks on the secondary users corresponding to the secondary user terminals, thereby improving the efficiency of the corresponding conference registration.

[0037] Further, in this embodiment, the above-mentioned "in response to any secondary user terminal scanning the secondary participation code, sending the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling in the secondary collection area, filling the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface" may also include the following steps: In response to any secondary user terminal scanning the secondary participation code, the secondary user terminal is aggregated into a conference and exhibition participation group, and a terminal scanning time corresponding to the secondary user terminal is obtained; In response to no other secondary user terminal scanning the secondary participation code within a preset period of time after the terminal scanning moment, obtaining the number of secondary terminals corresponding to each secondary user terminal in the exhibition participation group that is not pre-marked with priority, and comparing the number of secondary terminals with the retrieved preset conference participation threshold; In response to the number of the secondary terminals being greater than the preset conference participation threshold, obtaining the terminal authority level corresponding to each secondary user terminal in the conference participation group, and sorting the secondary user terminals from high to low based on the terminal authority level to obtain a terminal sequence; Obtaining a quantity difference between the corresponding number of secondary terminals and a preset conference participation threshold, and removing each secondary user terminal corresponding to the quantity difference from the conference participation group in reverse order based on the terminal sequence to obtain an updated conference participation group; The retrieved preset secondary collection interface including the secondary collection area is sent to each secondary user terminal in the exhibition participation group for content filling, and when any secondary user terminal completes filling in the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset main collection interface.

[0038] For example, in this embodiment, each secondary user terminal obtains corresponding participation qualifications based on the secondary participation code of the primary user terminal based on the following contents: First, before the start of the exhibition, the server can generate a corresponding secondary participation code based on each primary user terminal that obtains the preset primary collection interface and fill it into the identification area located in the preset primary collection interface. When any secondary user terminal scans the secondary participation code, the secondary user terminal is aggregated into the corresponding exhibition participation group. At the same time, the terminal scanning time corresponding to the secondary user terminal is recorded and obtained for subsequent timestamp comparison; Next, the server sets a preset time period (e.g., 30 minutes) in advance to monitor whether other secondary users continue to scan the same secondary participation code within the preset time period. If the server detects no new scanning activity after the preset time period ends, it can be determined that the participation request initiated by the primary user terminal has ended. Next, the server obtains the number of secondary terminals corresponding to each secondary user terminal in the current exhibition participant group that has not been pre-marked with priority (such as VIP users, pre-registered users, etc.), and further compares the number of secondary terminals with a preset conference participation threshold, wherein the preset conference participation threshold can be preset according to factors such as the exhibition scale and venue capacity, in order to ensure the smooth progress of the exhibition; When it is determined based on the comparison result that the number of secondary terminals exceeds the preset conference participation threshold, it indicates that there are many secondary users who send their conference participation expectations through the primary user terminal. In order to facilitate the management of the participants participating in the exhibition, it is necessary to limit the number of conference participation invitations distributed by each primary user terminal. The limitation method needs to be based on the terminal authority level corresponding to each secondary user terminal. That is, the higher the terminal authority level, the greater the probability of obtaining the corresponding conference participation qualification. Here, the corresponding terminal authority level can be pre-set by the server, which can be determined according to factors such as the user's historical participation, membership level, etc. Specifically, the server may sort the obtained terminal authority levels from high to low to form a terminal sequence, calculate the difference between the number of secondary terminals and the preset conference participation threshold, and based on the previously generated terminal sequence, filter out the secondary user terminals with the corresponding number difference from the conference participation group in reverse order, where the reverse order filtering means that the secondary user terminals with lower authority levels will be filtered out first to ensure the reasonable allocation of conference resources; after the filtering, the server updates the conference participation group, and further retrieves a preset secondary collection interface containing a secondary collection area, and sends it to each secondary user terminal in the conference participation group, and the secondary user terminal can fill in the content after receiving the corresponding secondary collection interface, such as personal information, conference participation intention, etc.; Once any secondary user terminal completes the filling, the server will immediately fill the secondary collection area content corresponding to the secondary user terminal into the preset primary collection interface of the corresponding primary user terminal, so that the exhibition organizer can perform subsequent data integration and analysis; Through the above implementation, this embodiment not only simplifies the exhibition organization process, but also improves the efficiency of information collection and processing.

[0039] In step S103, the following contents are included: In response to each user terminal completing the content filling, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the area number corresponding to all collection areas is sent to the main-level user terminal.

[0040] For example, in this embodiment, when the corresponding primary user terminal and secondary user terminal have completed filling in the content of the corresponding primary collection area and the secondary collection area, it indicates that all participation qualifications have been issued. At this time, the server will obtain the primary collection interface of the corresponding primary user terminal and further send it to the self-service registration machine, so that the self-service registration machine can register for the conference based on the corresponding information of each collection area located in the primary collection interface, and generate corresponding payment information based on the number of areas corresponding to all collection areas (including primary collection areas and secondary collection areas) and send it to the primary user terminal. Here, each user participating in the exhibition activity needs to purchase a corresponding conference ticket to join the meeting. Therefore, when each participant obtains the corresponding conference qualification, the corresponding conference fee (that is, the payment information mentioned above) will be calculated based on the number of participants corresponding to each participant, so that each participant can pay the fee and complete the final conference confirmation.

[0041] In this embodiment, it can be explained that the primary collection area corresponding to the primary user terminal and the secondary collection area corresponding to the secondary user terminal are mainly used to fill in the personal information of the relevant participants, and in order to improve the security of the corresponding exhibition activities, the key information involving each participant needs to be filled in compulsorily, such as personnel information, personnel occupation, personnel ID number, etc.; and the secondary information involving each participant does not need to be filled in compulsorily, such as the need to attend the meeting, etc.; therefore, the server can pre-set corresponding mandatory frames and fillable frames in each collection area, wherein the corresponding mandatory frames can have mandatory slots with mandatory attributes, respectively, and the corresponding fillable frames can have fillable slots with fillable attributes, respectively.

[0042] After completing the content setting corresponding to each collection area, in this embodiment, the above-mentioned "in response to each user terminal completing the content filling, sending the preset main-level collection interface to the automatic registration machine, and sending the payment information generated by the automatic registration machine based on the area number corresponding to all collection areas to the main-level user terminal" may also include the following steps: In response to receiving a filling completion signal sent by any user terminal based on a corresponding collection area, obtaining the collection area corresponding to the user terminal, and determining the content of each slot located in the collection area; In response to the absence of filled content in any required slot, marking the required slot with a slot corresponding to a preset first pixel value, and determining the acquisition area as a poorly filled state; Determine each fillable slot that has fill-in content as a fillable determination group, and obtain the total number of fillable slots in the fillable frame and the actual number of fillable slots in the fillable determination group; Calculate the ratio of the actual number that can be filled in to the total number that can be filled in, and compare the obtained fillable ratio with the retrieved preset ratio threshold; In response to the fillable proportion being less than the preset proportion threshold, the fillable frame is marked with a frame corresponding to a preset second pixel value, and the acquisition area is determined to be in a poorly filled state; In response to any collection area being in a poorly filled state, the collection area is sent to a corresponding user terminal for content filling; In response to all collection areas being in good filling status, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the area quantity corresponding to all collection areas is sent to the main-level user terminal.

[0043] For example, in this embodiment, the corresponding method steps may be specifically described as follows: First, when any user terminal (i.e., the primary user terminal or the secondary user terminal) completes filling in the content of the corresponding collection area, the server can obtain the corresponding collection area and determine the content of each slot (i.e., the required slot and the fillable operation) in the collection area; Next, for the required slots, the server checks whether there is any filled content in them. If any required slot is empty, that is, there is no filled content, the server will mark the required slot by setting a preset first pixel value (such as red highlight) to intuitively prompt the user that the slot is not filled. At the same time, the server determines the entire collection area as a bad filling state; if all required slots are filled, the server continues to process the fillable slots based on the following steps; Next, the server may determine each fillable slot with filled content as a fillable determination group, and further obtain the total number of fillable slots in the entire fillable frame (i.e., the set of all fillable slots), and the actual number of fillable slots in the fillable determination group (i.e., the number of fillable slots that are actually filled with content); Subsequently, the server calculates the ratio of the actual number of available slots to the total number of available slots to obtain the available percentage, and further compares the obtained available percentage with the retrieved preset percentage threshold; here, the preset percentage threshold can be set according to actual needs, for example, it can be set to 80%, indicating that at least 80% of the available slots need to be filled to be considered qualified; If the fillable percentage is less than the preset percentage threshold, the server will mark the fillable frame in the same way, by setting a preset second pixel value (such as yellow highlight) to prompt the user that the filling is incomplete; at the same time, the corresponding collection area is determined as a poorly filled state; Finally, after completing the content determination of the corresponding collection area, the server will send the collection area in a poorly filled-in state back to the corresponding user terminal, requiring the user to supplement or correct the content; and when all the received collection areas have passed the above verification, that is, they are all in an excellently filled-in state, the server will send the preset main-level collection interface as a whole to the automatic registration machine, so that the automatic registration machine generates corresponding payment information based on the number of areas of all received collection areas. After receiving the corresponding payment information, the server can send the payment information to the main-level user terminal for subsequent payment processing and registration procedures.

[0044] In step S104, the following contents are included: In response to the main-level user terminal completing the fee payment based on the payment information, the automatic registration machine is controlled to send the preset main-level collection interface to the self-service printer for interface printing, and the actual exhibition tickets corresponding to each user terminal are obtained.

[0045] For example, in this embodiment, after the corresponding primary user terminal receives the corresponding payment information and completes the corresponding fee payment, since the preset primary collection interface includes relevant information of the corresponding primary user terminal and the secondary user terminal, the server can control the corresponding automatic registration machine to send the corresponding preset primary collection interface to the self-service printer for corresponding interface printing, thereby obtaining the actual exhibition tickets corresponding to each user terminal, so that after the exhibition activity starts, the primary users and secondary users using the primary user terminal and the secondary user terminal can participate in the corresponding exhibition activities based on the corresponding actual exhibition tickets as the corresponding participation credentials.

[0046] In step S105, the following contents are included: In response to the registration operation being performed on each real exhibition ticket, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area.

[0047] For example, in this embodiment, when the primary user and the secondary user go to a conference and exhibition together, the corresponding actual conference and exhibition tickets will be cancelled by the staff of the conference and exhibition, and the corresponding registration operation will be performed to determine that the corresponding primary user and the secondary user have entered the corresponding conference and exhibition to watch the corresponding exhibition. Since there are generally many exhibition exhibits for each user to watch in the exhibition, and each user is in the process of watching the corresponding exhibition exhibits, in order to be able to record the evaluation information of each user on the exhibition exhibits in real time, a corresponding exhibit evaluation area can be created in the collection interface corresponding to each actual exhibition ticket, and the evaluation information uploaded by the corresponding user terminal can be uploaded to the exhibit evaluation area; it should be noted that the corresponding collection interface includes a preset primary collection interface of the corresponding primary user terminal and a preset secondary collection interface of the corresponding secondary user terminal.

[0048] Further, in this embodiment, the above-mentioned "in response to each real exhibition ticket being registered, creating an exhibit evaluation area in the collection interface corresponding to each real exhibition ticket, and uploading the evaluation information uploaded by the corresponding user terminal to the exhibit evaluation area" may also include the following steps: In response to the registration operation being performed on each of the actual exhibition tickets, an exhibit evaluation area is created in each of the collection interfaces corresponding to each of the actual exhibition tickets, wherein the exhibit evaluation area includes a display sub-area, a score sub-area, and an evaluation sub-area; In response to any user terminal interacting with the corresponding exhibit evaluation area, the user terminal is determined as a target terminal, and an exhibit acquisition plug-in pre-installed in the target terminal is triggered to perform image acquisition to obtain an exhibit acquisition image; Inputting the acquired image of the exhibit into a pre-trained contour recognition model to determine the contours of each exhibit in the acquired image of the exhibit; In response to the user terminal performing an exhibit interaction for a preset time on any exhibit outline, the active exhibits corresponding to the exhibit outline are aggregated into an exhibit evaluation group, and the evaluation score and evaluation content input by the user terminal based on the active exhibits are obtained; Acquire all evaluation contents corresponding to the same active exhibit in the exhibit evaluation group and determine the quantity, and obtain the quantity of each evaluation corresponding to each active exhibit; Aggregate the activity exhibits whose corresponding evaluation numbers are greater than a preset evaluation threshold into a comprehensive display group, and average the evaluation scores corresponding to the same activity exhibit in the comprehensive display group to obtain the evaluation averages corresponding to the activity exhibits; Determine the activity exhibit with the largest corresponding evaluation mean as the target exhibit, and combine the target exhibit, the evaluation mean corresponding to the target exhibit, and each evaluation content into evaluation information; The target exhibits and the evaluation mean values ​​included in the evaluation information are respectively filled into the display sub-area and the score sub-area, and each evaluation content included in the evaluation information is filled into the evaluation sub-area for scrolling display.

[0049] For example, in this embodiment, when each user participates in a corresponding exhibition activity, the evaluation information of each user can be uploaded and saved based on the following method steps: First, when the corresponding actual exhibition tickets are registered by the server, the server will automatically create an exhibit evaluation area on the collection interface corresponding to each actual exhibition ticket. The exhibit evaluation area consists of three main sub-areas: a display sub-area, a score sub-area, and an evaluation sub-area. The display sub-area is used to display the exhibit information or image being evaluated; the score sub-area is used to display the average evaluation score of the exhibit; and the evaluation sub-area is used to scroll and display the specific evaluation content of the user on the exhibit; Next, when the user interacts with the exhibit evaluation area through his / her client (such as a smart phone or tablet), the server will immediately identify the client as a target terminal, and then trigger the exhibit acquisition plug-in pre-installed in the target terminal to perform image acquisition operations, thereby obtaining the exhibit acquisition images of the corresponding exhibition activities; Next, the server will further input the collected exhibit collection images into a contour recognition model that has been pre-trained with a large amount of data. The model can accurately recognize the contours of the exhibits in the image, thereby realizing the precise positioning of the exhibits to determine whether there are corresponding active exhibits in the corresponding exhibit collection images. Here, the corresponding exhibit collection images can be obtained based on a neural network learning model or a machine learning model; Then, when the corresponding exhibit outlines exist in the exhibit collection image, and the user terminal interacts with a certain exhibit outline for a preset time (such as clicking, staying for a long time, etc.), the server will regard the exhibit as an active exhibit (indicating that the user has an evaluation interest in it) and summarize it into the exhibit evaluation group. At the same time, the server will collect the evaluation score and detailed evaluation content input by the user terminal based on the active exhibit; Then, after obtaining the evaluation scores and evaluation contents of each user terminal, the server will count each activity exhibit in the exhibit evaluation group to determine the number of all evaluation contents corresponding to the same activity exhibit, that is, the number of evaluations of each activity exhibit. Here, the number of evaluations can indicate how many users have generated corresponding evaluation interests for the same activity exhibit and have evaluated it; Secondly, after completing the acquisition of the corresponding number of evaluations, the server can further determine the activity exhibits whose corresponding number of evaluations exceeds the preset evaluation threshold, and aggregate them into a comprehensive display group; in the comprehensive display group, the server will average all evaluation scores of the same activity exhibit to obtain the evaluation average of each activity exhibit; it should be noted that the activity exhibits in the comprehensive display group means that multiple users have evaluation interests in it; Finally, in the comprehensive display group, the server will determine the active exhibit with the largest evaluation mean as the target exhibit, and then further combine the target exhibit and its corresponding evaluation mean and each evaluation content into complete evaluation information, and at the same time, this information will be filled into the display sub-area, score sub-area and evaluation sub-area respectively. Among them, since the evaluation content corresponding to the target exhibit may include multiple items, the corresponding evaluation contents can be displayed in a scrolling manner in the evaluation sub-area.

[0050] It can be explained that, in this embodiment, based on the above-mentioned method steps, each user can make corresponding records based on the activity exhibits that they are interested in evaluating during the tour of the exhibition activity, and the activity exhibits with higher evaluation averages can also be displayed on the collection interface corresponding to different user terminals, thereby realizing the sharing of evaluations of different activity exhibits and improving the tour interest and efficiency of each user.

[0051] Furthermore, in this embodiment, the above-mentioned “calculating the average of the evaluation scores corresponding to the same activity exhibit in the comprehensive display group to obtain the evaluation averages corresponding to the activity exhibits” may also include the following steps: In response to any activity exhibit including an evaluation score corresponding to a primary user terminal, the evaluation score corresponding to the primary user terminal is multiplied by the retrieved primary weight value corresponding to the primary user terminal to obtain an updated primary score corresponding to the primary user terminal; In response to any activity exhibit including an evaluation score corresponding to a secondary user terminal, the evaluation score corresponding to the secondary user terminal is multiplied by the retrieved secondary weight value corresponding to the secondary user terminal to obtain an updated secondary score corresponding to the secondary user terminal; The average of all the secondary scores and the primary scores corresponding to the same activity exhibit in the comprehensive display group is calculated to obtain the evaluation averages corresponding to the activity exhibits.

[0052] For example, in this embodiment, since the primary users of the corresponding primary user terminals generally have corresponding active organizational capabilities, the server can set corresponding primary weight values ​​and secondary weight values ​​to update the evaluation scores of the primary users and secondary users accordingly, so as to obtain the corresponding secondary scores and primary scores, so as to further obtain the evaluation mean. Here, generally speaking, the corresponding primary weight value should be greater than the secondary weight value.

[0053] In summary, firstly, this embodiment greatly improves the automation level of exhibition registration. Through the preset primary and secondary collection interfaces, users can complete the information filling on their respective user terminals conveniently and quickly without the need for tedious manual operations. This not only saves valuable time resources, but also significantly reduces the risk of errors caused by manual operations, thereby ensuring that the registration process for exhibitions is more efficient and accurate; Secondly, this embodiment optimizes the payment process and improves the convenience of payment. After the user completes the content filling, the automatic registration machine will instantly generate payment information and send it to the primary user terminal. The user only needs to complete the payment according to the prompts. This process not only simplifies the payment steps, but also avoids the confusion and delays that may be caused by on-site payment, further improving the efficiency of the exhibition; Furthermore, this embodiment can also realize the instant printing of exhibition tickets through the self-service printer, which provides great convenience for participants. Participants no longer need to wait for manual printing or to collect paper tickets, but can easily obtain their own exhibition tickets on the self-service printer. This not only saves the participants' time, but also improves the order and efficiency of the exhibition site; In addition, this embodiment also innovatively introduces an exhibit evaluation area, which provides strong support for the effect evaluation after the exhibition. Participants can fill in the evaluation information of the exhibits in the corresponding collection interface, and this information will be automatically uploaded and summarized to facilitate the organizer to conduct subsequent data analysis and effect evaluation. This function not only simplifies the data collection process, but also shortens the feedback cycle, providing valuable data support for the continuous improvement of the exhibition; that is, this embodiment optimizes the exhibition participation process through automated processes and significantly improves management efficiency.

[0054] Figure 3 Another embodiment of the present invention provides a visitor management and verification system for a self-service registration machine for an exhibition, such as Figure 3 As shown, the system includes: The participation request module is configured to, in response to receiving a conference and exhibition participation request sent by any primary user terminal, retrieve a preset primary collection interface and send it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area; The content filling module is configured to, in response to any secondary user terminal scanning the secondary participation code, send the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, fill the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface; The payment determination module is configured to send the preset primary collection interface to the automatic registration machine in response to each user terminal completing the content filling, and send the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas to the primary user terminal; The interface printing module is configured to control the automatic registration machine to send the preset main-level collection interface to the self-service printer for interface printing in response to the main-level user terminal completing the fee payment based on the payment information, so as to obtain each actual exhibition ticket corresponding to each user terminal; The exhibit evaluation module is configured to create an exhibit evaluation area in the collection interface corresponding to each real exhibition ticket in response to the registration operation being performed on each real exhibition ticket, and upload the evaluation information uploaded by the corresponding user terminal to the exhibit evaluation area.

[0055] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the present invention.

[0056] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0057] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0058] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0059] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of submodules or subunits or subcomponents.

[0060] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0061] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0062] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0063] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments are contemplated within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is primarily selected for readability and teaching purposes, and is not selected to explain or limit the subject matter of the present invention.

Claims

1. A visitor management and verification method for a self-service registration machine for an exhibition, characterized in that: The following steps are involved: In response to receiving a conference and exhibition participation request sent by any primary user terminal, calling a preset primary collection interface and sending it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area; In response to any secondary user terminal scanning the secondary participation code, the retrieved preset secondary collection interface including the secondary collection area is sent to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset primary collection interface; In response to each user terminal completing the content filling, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas is sent to the main-level user terminal; In response to the primary user terminal completing the fee payment based on the payment information, the automatic registration machine is controlled to send the preset primary collection interface to the self-service printer for interface printing, and obtains each actual exhibition ticket corresponding to each user terminal; In response to the registration operation being performed on each real exhibition ticket, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area.

2. The visitor management and verification method of the exhibition self-service registration machine according to claim 1 is characterized in that: In response to receiving a conference and exhibition participation request sent by any primary user terminal, calling a preset primary collection interface and sending it to the primary user terminal for content filling, including: In response to receiving a conference and exhibition participation request sent by any primary user terminal, triggering a primary acquisition plug-in pre-installed in the primary user terminal to perform face acquisition to obtain a primary face image; Retrieving a preset image evaluation strategy to perform image evaluation on the primary face image, and comparing the primary image score obtained based on the evaluation result with the retrieved preset score threshold; In response to the score of the main-level image being greater than the retrieved preset score threshold, retrieving a preset prohibited meeting list, wherein the preset prohibited meeting list includes each prohibited facial image; Comparing each prohibited face image in the preset prohibited list with the primary face image to obtain the image similarity corresponding to each prohibited face image; In response to the similarities of the images being less than a preset similarity threshold, a preset main-level acquisition interface is retrieved and sent to the main-level user terminal for content filling.

3. The visitor management and verification method of the exhibition self-service registration machine according to claim 2 is characterized in that: Retrieving a preset image evaluation strategy to perform image evaluation on the primary face image, and comparing the primary image score obtained based on the evaluation result with the retrieved preset score threshold, including: Obtaining a left frame line, a right frame line and an upper frame line respectively corresponding to the left, right and upper directions of the main face image, and inputting the main face image into a pre-trained face recognition model to determine a face area in the main face image; Performing pixel processing on the facial region to obtain facial pixel points constituting the facial region; In response to the presence of facial pixel points greater than a preset number that are arranged continuously in any frame line, determining the retrieved preset first score as the primary image score corresponding to the primary face image, wherein the preset first score is less than or equal to the retrieved preset score threshold; In response to the absence of a number of facial pixel points greater than a preset number that are continuously arranged in each frame line, obtaining a facial center point corresponding to the facial region and an image center point corresponding to the primary facial image in the primary facial image, and generating a facial connection line connecting the facial center point and the image center point; Acquire the length of the facial line segment corresponding to the facial connection line, and compare the length of the facial line segment with the retrieved preset line segment length; In response to the facial line segment length being greater than the preset line segment length, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the facial line segment length being less than or equal to the preset line segment length, feature extraction is performed on the facial area, and image evaluation is performed on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image.

4. The visitor management and verification method of the exhibition self-service registration machine according to claim 3 is characterized in that: Performing image evaluation on the primary face image based on the obtained different facial features to obtain a primary image score corresponding to the primary face image includes: Acquire an eye sub-region corresponding to the eye feature, an ear sub-region corresponding to the ear feature, and a mouth sub-region corresponding to the mouth feature located in the face region; Obtaining the number of features corresponding to the eye sub-region and the ear sub-region respectively; In response to the number of any one of the features not being two, determining the retrieved preset first score as the primary image score corresponding to the primary face image; In response to the number of each feature being two, performing image evaluation based on the horizontal steering dimension, the vertical steering dimension, and the plane tilt dimension based on the eye sub-region, the ear sub-region, and the mouth sub-region, respectively, to obtain a first evaluation value, a second evaluation value, and a third evaluation value; The first evaluation value, the second evaluation value, and the third evaluation value are respectively multiplied by the retrieved first weight value, the second weight value, and the third weight value to obtain a first product result, a second product result, and a third product result; The first multiplication result, the second multiplication result and the third multiplication result are summed up to obtain a primary image score corresponding to the primary face image.

5. The visitor management and verification method of the exhibition self-service registration machine according to claim 4 is characterized in that: Based on the eye sub-region, the ear sub-region and the mouth sub-region, image evaluation based on the horizontal steering dimension, the vertical steering dimension and the plane tilt dimension is performed respectively to obtain a first evaluation value, a second evaluation value and a third evaluation value, including: generating a first ear contour and a second ear contour that circumscribe the two ear sub-regions respectively, and performing contour comparison between the first ear contour and the second ear contour to obtain a contour overlap ratio; Normalizing the contour overlap rate to obtain a first evaluation value based on a horizontal steering dimension; Acquire a first eye center point and a second eye center point corresponding to different eye sub-regions respectively, and connect the first eye center point with the second eye center point to obtain an eye connection line; Determine the center point of the eye connection line, and generate a regional connection line extending vertically to the mouth sub-region with the center point as the starting point; Acquire the length of the area segment corresponding to the area connecting line, and perform normalization processing on the length of the area segment to obtain a second evaluation value based on the vertical steering dimension; Taking any end point of the eye connection line as a starting point, a horizontal reference line extending in the horizontal direction is generated, and the line segment angle between the eye connection line and the horizontal reference line is obtained, and the line segment angle is normalized to obtain a third evaluation value based on the plane tilt dimension.

6. The visitor management and verification method of the exhibition self-service registration machine according to claim 1 is characterized in that: In response to any secondary user terminal scanning the secondary participation code, sending the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, filling the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface, including: In response to any secondary user terminal scanning the secondary participation code, the secondary user terminal is aggregated into a conference and exhibition participation group, and a terminal scanning time corresponding to the secondary user terminal is obtained; In response to no other secondary user terminal scanning the secondary participation code within a preset period of time after the terminal scanning moment, obtaining the number of secondary terminals corresponding to each secondary user terminal in the exhibition participation group that is not pre-marked with priority, and comparing the number of secondary terminals with the retrieved preset conference participation threshold; In response to the number of the secondary terminals being greater than the preset conference participation threshold, obtaining the terminal authority level corresponding to each secondary user terminal in the conference participation group, and sorting the secondary user terminals from high to low based on the terminal authority level to obtain a terminal sequence; Obtaining a quantity difference between the corresponding number of secondary terminals and a preset conference participation threshold, and removing each secondary user terminal corresponding to the quantity difference from the conference participation group in reverse order based on the terminal sequence to obtain an updated conference participation group; The retrieved preset secondary collection interface including the secondary collection area is sent to each secondary user terminal in the exhibition participation group for content filling, and when any secondary user terminal completes filling in the secondary collection area, the secondary collection area corresponding to the secondary user terminal is filled into the preset main collection interface.

7. The visitor management and verification method of the exhibition self-service registration machine according to claim 1 is characterized in that: Each collection area includes a mandatory frame and an optional frame, wherein the mandatory frame contains mandatory slots each having a mandatory attribute, and the optional frame contains optional slots each having an optional attribute; In response to each user terminal completing the content filling, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas is sent to the main-level user terminal, including: In response to receiving a filling completion signal sent by any user terminal based on a corresponding collection area, obtaining the collection area corresponding to the user terminal, and determining the content of each slot located in the collection area; In response to the absence of filled content in any required slot, marking the required slot with a slot corresponding to a preset first pixel value, and determining the acquisition area as a poorly filled state; Determine each fillable slot that has fill-in content as a fillable determination group, and obtain the total number of fillable slots in the fillable frame and the actual number of fillable slots in the fillable determination group; Calculate the ratio of the actual number that can be filled in to the total number that can be filled in, and compare the obtained fillable ratio with the retrieved preset ratio threshold; In response to the fillable proportion being less than the preset proportion threshold, the fillable frame is marked with a frame corresponding to a preset second pixel value, and the acquisition area is determined to be in a poorly filled state; In response to any collection area being in a poorly filled state, the collection area is sent to a corresponding user terminal for content filling; In response to all collection areas being in good filling status, the preset main-level collection interface is sent to the automatic registration machine, and the payment information generated by the automatic registration machine based on the area quantity corresponding to all collection areas is sent to the main-level user terminal.

8. The visitor management and verification method of the exhibition self-service registration machine according to claim 1 is characterized in that: In response to the registration operation being performed on each real exhibition ticket, an exhibit evaluation area is created in the collection interface corresponding to each real exhibition ticket, and the evaluation information uploaded by the corresponding user terminal is uploaded to the exhibit evaluation area, including: In response to the registration operation being performed on each of the actual exhibition tickets, an exhibit evaluation area is created in each of the collection interfaces corresponding to each of the actual exhibition tickets, wherein the exhibit evaluation area includes a display sub-area, a score sub-area, and an evaluation sub-area; In response to any user terminal interacting with the corresponding exhibit evaluation area, the user terminal is determined as a target terminal, and an exhibit acquisition plug-in pre-installed in the target terminal is triggered to perform image acquisition to obtain an exhibit acquisition image; Inputting the acquired image of the exhibit into a pre-trained contour recognition model to determine the contours of each exhibit in the acquired image of the exhibit; In response to the user terminal performing an exhibit interaction for a preset time on any exhibit outline, the active exhibits corresponding to the exhibit outline are aggregated into an exhibit evaluation group, and the evaluation score and evaluation content input by the user terminal based on the active exhibits are obtained; Acquire all evaluation contents corresponding to the same active exhibit in the exhibit evaluation group and determine the quantity, and obtain the quantity of each evaluation corresponding to each active exhibit; Aggregate the activity exhibits whose corresponding evaluation numbers are greater than a preset evaluation threshold into a comprehensive display group, and average the evaluation scores corresponding to the same activity exhibit in the comprehensive display group to obtain the evaluation averages corresponding to the activity exhibits; Determine the activity exhibit with the largest corresponding evaluation mean as the target exhibit, and combine the target exhibit, the evaluation mean corresponding to the target exhibit, and each evaluation content into evaluation information; The target exhibits and the evaluation mean values ​​included in the evaluation information are respectively filled into the display sub-area and the score sub-area, and each evaluation content included in the evaluation information is filled into the evaluation sub-area for scrolling display.

9. The visitor management and verification method of the exhibition self-service registration machine according to claim 8 is characterized in that: The evaluation scores corresponding to the same activity exhibit in the comprehensive display group are averaged to obtain the evaluation averages corresponding to the activity exhibits, including: In response to any activity exhibit including an evaluation score corresponding to a primary user terminal, the evaluation score corresponding to the primary user terminal is multiplied by the retrieved primary weight value corresponding to the primary user terminal to obtain an updated primary score corresponding to the primary user terminal; In response to any activity exhibit including an evaluation score corresponding to a secondary user terminal, the evaluation score corresponding to the secondary user terminal is multiplied by the retrieved secondary weight value corresponding to the secondary user terminal to obtain an updated secondary score corresponding to the secondary user terminal; The average of all the secondary scores and the primary scores corresponding to the same activity exhibit in the comprehensive display group is calculated to obtain the evaluation averages corresponding to the activity exhibits.

10. A visitor management and verification system for a self-service registration machine for an exhibition, characterized in that: include: The participation request module is configured to, in response to receiving a conference and exhibition participation request sent by any primary user terminal, retrieve a preset primary collection interface and send it to the primary user terminal for content filling, wherein the preset primary collection interface includes an identification area filled with a secondary participation code and a primary collection area; The content filling module is configured to, in response to any secondary user terminal scanning the secondary participation code, send the retrieved preset secondary collection interface including the secondary collection area to the secondary user terminal for content filling, and when the secondary user terminal completes filling the content of the secondary collection area, fill the secondary collection area corresponding to the secondary user terminal into the preset primary collection interface; The payment determination module is configured to send the preset primary collection interface to the automatic registration machine in response to each user terminal completing the content filling, and send the payment information generated by the automatic registration machine based on the number of areas corresponding to all collection areas to the primary user terminal; The interface printing module is configured to control the automatic registration machine to send the preset main-level collection interface to the self-service printer for interface printing in response to the main-level user terminal completing the fee payment based on the payment information, so as to obtain each actual exhibition ticket corresponding to each user terminal; The exhibit evaluation module is configured to create an exhibit evaluation area in the collection interface corresponding to each real exhibition ticket in response to the registration operation being performed on each real exhibition ticket, and upload the evaluation information uploaded by the corresponding user terminal to the exhibit evaluation area.

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