CN117219003A

CN117219003A - Content display method and device of LED display module

Info

Publication number: CN117219003A
Application number: CN202311481529.5A
Authority: CN
Inventors: 肖琼; 亢占举; 邓洪波
Original assignee: SHENZHEN DONGLU TECHNOLOGY CO LTD
Current assignee: SHENZHEN DONGLU TECHNOLOGY CO LTD
Priority date: 2023-11-09
Filing date: 2023-11-09
Publication date: 2023-12-12
Anticipated expiration: 2043-11-09
Also published as: CN117219003B

Abstract

The invention relates to the technical field of image processing, and discloses a content display method and device of an LED display module, which are used for improving the accuracy of content display of the LED display module. Comprising the following steps: acquiring a plurality of contents to be displayed and carrying out frame segmentation to obtain a plurality of segmented video frames; extracting parameters of the LED display module to obtain a module parameter set; performing play position analysis to obtain a play position corresponding to each divided video frame; carrying out crowd density analysis on the crowd in front of the LED display module by using an infrared sensor to obtain target crowd density; video acquisition is carried out on the crowd in front of the LED display module to obtain crowd image data; inputting the target crowd density and crowd image data into a playing control model for control parameter analysis to obtain playing control parameters; and based on the playing position corresponding to each divided video frame, playing and displaying the plurality of divided video frames through the playing control parameters.

Description

Content display method and device of LED display module

Technical Field

The invention relates to the technical field of image processing, in particular to a content display method and device of an LED display module.

Background

In recent years, along with the development of LED (Light Emitting Diode) display technology, the application field of the LED display module is gradually expanded, and the LED display module covers a plurality of fields such as digital billboards, traffic systems, retail storefronts, outdoor activities and the like.

Conventional LED display systems typically display static content or play back the same information in cycles for a predetermined period of time. This results in repeatability and lack of personalization of the content, which cannot be adjusted to the changes of the audience and the environment. Conventional LED display systems typically display content at a constant brightness, which can result in wasted energy. In the case of low crowd density, night, or the like, highlighting is unnecessary, but few systems are capable of dynamically adjusting brightness. In conventional systems, the selection of display content is typically static or preprogrammed, regardless of the actual viewer's needs. This results in a mismatch of content and viewer interests, reducing advertising effectiveness and user experience.

Disclosure of Invention

The invention provides a content display method and device of an LED display module, which are used for improving the accuracy of content display of the LED display module.

The first aspect of the present invention provides a content display method of an LED display module, where the content display method of the LED display module includes:

Acquiring a plurality of contents to be displayed, and carrying out frame segmentation on the plurality of contents to be displayed to obtain a plurality of segmented video frames;

extracting parameters of a preset LED display module to obtain a module parameter set;

analyzing playing positions of a plurality of the divided video frames through the module parameter set to obtain playing positions corresponding to each divided video frame;

carrying out crowd density analysis on the crowd in front of the LED display module through a preset infrared sensor to obtain target crowd density;

carrying out video acquisition on the crowd in front of the LED display module by a preset video acquisition device to obtain crowd image data;

inputting the target crowd density and the crowd image data into a preset playing control model for control parameter analysis to obtain playing control parameters;

and based on the play positions corresponding to the divided video frames, performing play display control on a plurality of the divided video frames through the play control parameters.

With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the obtaining a plurality of contents to be displayed, and performing frame segmentation on the plurality of contents to be displayed, to obtain a plurality of segmented video frames, includes:

Performing video decoding processing on a plurality of contents to be displayed to obtain decoded video data of each content to be displayed;

performing time stamp extraction on the decoded video data of each content to be displayed to obtain time stamp data of each content to be displayed;

and based on the time stamp data of each content to be displayed, carrying out frame segmentation on a plurality of the content to be displayed to obtain a plurality of segmented video frames.

With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the performing, by using the set of module parameters, play position analysis on the plurality of divided video frames to obtain play positions corresponding to each of the divided video frames includes:

dividing the display area of the LED display module by the module parameter set to obtain a plurality of display areas;

performing center position calibration on each divided video frame to obtain center position data of each divided video frame;

performing size calculation on each divided video frame to obtain size data of each divided video frame;

and carrying out play position analysis on a plurality of the divided video frames based on the central position data of each divided video frame and the size data of each divided video frame to obtain the play position corresponding to each divided video frame.

With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the performing, by using a preset infrared sensor, crowd density analysis on a crowd in front of the LED display module to obtain a target crowd density includes:

the infrared sensor is used for detecting the crowd position in front of the LED display module to obtain a plurality of crowd position data;

performing time sequence data calculation on the crowd position data to obtain time sequence data corresponding to each crowd position data;

based on the time sequence data corresponding to each crowd position data, respectively carrying out position data grouping on each crowd position data to obtain a plurality of grouped position data;

calculating the personnel number of each group of position data to obtain the personnel number corresponding to each group of position data;

and carrying out crowd density analysis on the crowd in front of the LED display module by the personnel number corresponding to each piece of grouping position data to obtain target crowd density.

With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, inputting the target crowd density and the crowd image data into a preset playing control model to perform control parameter analysis, to obtain playing control parameters, includes:

Inputting the target crowd density into a first convolution layer of the play control model for feature extraction to obtain corresponding first convolution features;

inputting the crowd image data into a second convolution layer of the playing control model for feature extraction to obtain corresponding second convolution features;

inputting the first convolution feature and the second convolution feature into a feature fusion layer of the play control model to perform feature fusion to obtain a target fusion feature;

inputting the target fusion features into a feature mapping layer of the play control model to perform feature mapping to obtain target mapping data;

and carrying out parameter matching from a preset target control parameter database through the target mapping data to obtain the play control parameters.

With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect of the present invention, the performing parameter matching from a preset target control parameter database by using the target mapping data to obtain the play control parameter includes:

extracting the coding fields of the target mapping data to obtain a plurality of corresponding coding fields;

performing data coding processing on the target mapping data through a plurality of coding fields to obtain corresponding target coding data;

Performing parameter type matching on the target coding data to obtain a plurality of corresponding target parameter types;

and performing control parameter database matching on each target parameter type to obtain a target control parameter database, and performing parameter matching from the target control parameter database to obtain the play control parameters.

With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the performing, by using the play control parameter, play display control on a plurality of the divided video frames based on a play position corresponding to each of the divided video frames includes:

carrying out coordinate analysis on the playing position corresponding to each divided video frame to obtain playing coordinate data corresponding to each divided video frame;

performing data traversal on the play control parameters to obtain corresponding play content data, play duration data and play brightness data;

and performing play display control on the plurality of divided video frames through the play content data, the play duration data and the play brightness data.

The second aspect of the present invention provides a content display device of an LED display module, the content display device of the LED display module comprising:

The acquisition module is used for acquiring a plurality of contents to be displayed, and carrying out frame segmentation on the plurality of contents to be displayed to obtain a plurality of segmented video frames;

the extraction module is used for extracting parameters of a preset LED display module to obtain a module parameter set;

the first analysis module is used for analyzing playing positions of the plurality of divided video frames through the module parameter set to obtain playing positions corresponding to each divided video frame;

the second analysis module is used for carrying out crowd density analysis on the crowd in front of the LED display module through a preset infrared sensor to obtain target crowd density;

the acquisition module is used for carrying out video acquisition on the crowd in front of the LED display module through a preset video acquisition device to obtain crowd image data;

the input module is used for inputting the target crowd density and the crowd image data into a preset playing control model to perform control parameter analysis, so as to obtain playing control parameters;

and the display module is used for performing play display control on a plurality of the divided video frames through the play control parameters based on the play positions corresponding to each divided video frame.

A third aspect of the present invention provides a content display apparatus of an LED display module, comprising: a memory and at least one processor, the memory having instructions stored therein; and the at least one processor calls the instruction in the memory so that the content display equipment of the LED display module executes the content display method of the LED display module.

A fourth aspect of the present application provides a computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the content display method of the LED display module set described above.

In the technical scheme provided by the application, a plurality of contents to be displayed are obtained, and the plurality of contents to be displayed are subjected to frame segmentation to obtain a plurality of segmented video frames; extracting parameters of the LED display module to obtain a module parameter set; analyzing playing positions of the plurality of divided video frames through the module parameter set to obtain playing positions corresponding to each divided video frame; carrying out crowd density analysis on the crowd in front of the LED display module by using an infrared sensor to obtain target crowd density; the method comprises the steps that video acquisition is carried out on crowds in front of an LED display module through a video acquisition device, so that crowd image data are obtained; inputting the target crowd density and crowd image data into a playing control model for control parameter analysis to obtain playing control parameters; and playing and displaying the plurality of divided video frames through playing control parameters based on the playing positions corresponding to each divided video frame. In the scheme of the application, the LED display system can intelligently select the display content which is most matched with the current audience and environmental conditions by matching the target crowd density and crowd image data with the control parameters. This ensures that the displayed content is more relevant and more interesting to the viewer. The LED display system adjusts the content and brightness in real time according to the change of crowd density so as to adapt to different situations. This means that the content can be presented more clearly in crowded situations, while the energy consumption and display intensity can be reduced when the crowd is rare, improving the accuracy of the content display. The LED display system is not required to continuously display the same content, and can be adjusted according to actual requirements. This reduces unnecessary waste of content and energy, and improves the accuracy of advertising and information.

Drawings

FIG. 1 is a schematic diagram of an embodiment of a content display method of an LED display module according to the present invention;

FIG. 2 is a flowchart of a playback position analysis of a plurality of divided video frames by a set of module parameters according to an embodiment of the present invention;

FIG. 3 is a flow chart of crowd density analysis of crowd in front of an LED display module by a preset infrared sensor in an embodiment of the invention;

FIG. 4 is a flowchart of a control parameter analysis performed by inputting target crowd density and crowd image data into a preset play control model according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an embodiment of a content display device of an LED display module according to the present invention;

fig. 6 is a schematic diagram of an embodiment of a content display device of an LED display module according to an embodiment of the present invention.

Detailed Description

The embodiment of the invention provides a content display method and device of an LED display module, which are used for improving the accuracy of content display of the LED display module.

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

For easy understanding, the following describes a specific flow of an embodiment of the present invention, referring to fig. 1, and an embodiment of a content display method of an LED display module in an embodiment of the present invention includes:

s101, acquiring a plurality of contents to be displayed, and carrying out frame segmentation on the plurality of contents to be displayed to obtain a plurality of segmented video frames;

it can be understood that the execution body of the present invention may be a content display device of an LED display module, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.

In particular, a plurality of content to be displayed is acquired, which may be images, video or other forms of media. The contents to be displayed are displayed on the LED display module. And performing video decoding processing on the plurality of contents to be displayed. The content to be displayed is converted into decoded video data for subsequent processing. Video decoding may include decompression and decoding operations to restore the content of the original media. Subsequently, a time stamp extraction is performed on the decoded video data of each content to be displayed. The purpose of the timestamp extraction is to obtain timestamp data for each content to be displayed, which will be used to ensure that the content is displayed synchronously on the LED display module. The time stamp may indicate a display time point of each frame. And dividing the frames of the plurality of contents to be displayed based on the time stamp data of each content to be displayed. This ensures the synchronicity of the content. By splitting the content into multiple video frames, each frame is associated with a particular timestamp to ensure that it is played in the correct time order when displayed. For example, assume that different advertisements are displayed on one LED display screen. The plurality of advertising videos are provided in different formats and encoding. The server transmits the advertisement videos to the LED display module. Then, the LED display module performs video decoding processing to decode each advertisement video into original video data. This process ensures playability of the video. The LED display module extracts time stamp information from the decoded data of each advertisement video, and the time stamps represent the display time of each frame of video. For example, if the video of advertisement 1 has a specific timestamp at 0.5 seconds, the LED display module will record this information. Based on the extracted time stamp information, the LED display module performs frame division on a plurality of advertisement videos, divides the advertisement videos into frames, and ensures that the advertisement videos are played at the correct time according to the time stamp information. Ensure that they are seamlessly switched according to a predetermined time axis, thereby realizing smooth presentation of contents.

S102, extracting parameters of a preset LED display module to obtain a module parameter set;

specifically, the preset LED display module typically includes various hardware and software components, such as LED light beads, control circuitry, display screens, brightness controllers, resolution settings, and the like. In order to extract parameters, it is first necessary to establish a connection with the LED display module to access the internal information thereof. Various key parameters can be obtained through an interface connected to the LED display module or through a communication protocol. These parameters include: resolution ratio: the resolution of the LED display module is the number of pixels available on the display screen. For example, the resolution of a block of LED display modules may be 1920x1080 pixels, which will affect the quality and sharpness of the displayed image; brightness and contrast: the brightness parameter determines the brightness level of the LED display screen, while the contrast parameter is related to the contrast of the display content. These parameters are very important for display under different lighting conditions; color calibration: color parameters including color temperature and color range, which can be adjusted to ensure that the color displayed is accurate; refresh rate: the refresh rate defines the frequency of image updates on the screen. A high refresh rate may provide a smoother visual effect; communication interface: it is important to know the communication interfaces supported by the LED display modules (e.g., HDMI, displayPort, USB, etc.), as they determine how to connect with other devices; size and screen ratio: these parameters relate to the physical size and aspect ratio of the LED display screen and help to accommodate the display of content; driver and firmware versions: knowing the driver and firmware version of the LED display module can ensure its proper operation and requires updating to improve performance and functionality. Once these parameters are extracted, they are consolidated into a set of module parameters. This set can be used to program the LED display modules to accommodate different content and requirements. By accessing and analyzing the module parameter set, the performance of the LED display can be better controlled and optimized.

S103, performing play position analysis on a plurality of divided video frames through a module parameter set to obtain play positions corresponding to each divided video frame;

specifically, the LED display module is subjected to display area segmentation according to the module parameter set. The LED display module is divided into a plurality of different display areas, and each area can independently control display content. The division of these display areas is based on the physical characteristics of the module, such as the size and shape of the screen, and the multi-screen display capabilities supported by the module. And calibrating the center position of each divided video frame. Center position calibration is the process of determining the center point of each segmented video frame. This can be achieved by analyzing the pixel data of the frame and the resolution of the module. The center position calibration helps to determine the center position of each video frame within the display area for display in the correct position. At the same time, a size calculation is performed to determine size data for each of the divided video frames. The size calculation involves measuring the width and height of each video frame. This can be achieved by analyzing the pixel size and resolution of the video frame. The size data will be used to ensure proper scaling and positioning of the video frames within the display area. And performing play position analysis based on the center position data and the size data. And determining the exact display position of each divided video frame on the LED display module. By combining the center position and the size data, the coordinate position of each video frame that should be within the display area can be calculated. This ensures that the video frames are properly aligned and scaled on the screen to provide the best visual effect.

S104, carrying out crowd density analysis on the crowd in front of the LED display module through a preset infrared sensor to obtain target crowd density;

specifically, crowd position detection is performed on the crowd in front of the LED display module by using a preset infrared sensor. The infrared sensor may detect thermal radiation from the human body so it may help determine if a person is present in front of the LED display. The sensor captures position data of a plurality of people, i.e. the coordinate positions of the people are detected. And performing time series data calculation on the crowd position data. The crowd position data captured at different points in time is processed to form time series data. These data can be used to track the movement and distribution of the population to better understand the change in population density. Then, position data is grouped based on time-series data corresponding to each group of people position data. The time series data is divided into different groups according to a certain period of time or other criteria. This may help to analyze the aggregation of the population over different time periods. The personnel count is performed for each group position data. And in each time period, the crowd quantity in front of the LED display module can be calculated according to the captured position data. This is achieved by counting the number of people present at a particular location during each time period. And carrying out crowd density analysis according to the number of people corresponding to each group of position data. The population density, i.e. the number of people per unit area, over different time periods is calculated. Thereby determining the target crowd density in front of the LED display module in a specific time period. For example, assume that an infrared sensor continuously monitors the location of a crowd and transmits captured location data to a control system. These location data are then converted into time series data to understand the pattern of movement and density distribution of the population. In the control system, these time series data are divided into different time periods, such as morning, afternoon and evening. For each time period, the population density can be calculated by counting the number of people present in front of the billboard for each time period. For example, there are fewer people in the morning and the number of people in the afternoon and evening increases. Based on crowd density data of different time periods, the LED advertising board can automatically switch advertising content so as to better adapt to crowd conditions in a shopping center.

S105, carrying out video acquisition on the crowd in front of the LED display module through a preset video acquisition device to obtain crowd image data;

in particular, the video capture device typically includes a camera or video camera for capturing real-time images of the population in front of the LED display module. These cameras are typically located near the LED display modules to ensure that the activities and positions of the crowd can be accurately captured. Once the video capture device is operational, it continuously captures images of the crowd to capture their actions, positions and features. These image data are typically stored in digital format for subsequent processing and analysis. By constantly capturing images, the video capture device may generate crowd image data. The data includes real-time images of the population in front of the LED display module, which may include a single frame or sequence of images. These image data provide visual information about the population and can be used to identify, track and analyze the characteristics and behavior of the population.

S106, inputting the target crowd density and crowd image data into a preset playing control model for control parameter analysis to obtain playing control parameters;

specifically, the target crowd density and crowd image data are input into a preset play control model. This model is typically a deep neural network that can process input data and generate corresponding control parameters. In this process, the target crowd density and crowd image data are processed separately to extract features. The target population density is typically input to a first convolution layer of the playback control model for feature extraction. The first convolution layer may detect textures, edges, and other features in the image. This helps the model understand the population's density and distribution. Meanwhile, the crowd image data is sent to a second convolution layer of the playing control model to carry out similar feature extraction. The second convolution layer helps the model understand the shape, size and location of the population, and their distribution on the screen. The first convolution feature and the second convolution feature are input to a feature fusion layer to combine the features. Feature fusion helps the model integrate information from different sources to more fully understand crowd density and features. The generated target fusion features are fed into a feature mapping layer for further processing and refining of the features to obtain target mapping data. This layer can extract higher level information such as mobility, aggregation and spatial distribution of the population. Through the target mapping data, parameter matching can be performed from a preset target control parameter database. The database contains play control parameters under different crowd densities and scene conditions. By matching the target mapping data, the model can determine the most appropriate control parameters to adjust the LED display. For example, assume an LED billboard is used to display promotional information. On weekends and holidays, there are typically more customers and a higher population density. Through the camera, the server monitors that a large number of customers pass in front of the door. The target audience density and crowd image data are input into a preset play control model. The first convolution layer analyzes crowd density and discovers that the crowd is large. At the same time, the second convolution layer identifies customers of different ages and sexes. These features are integrated into a feature fusion layer, generating target fusion features. The feature mapping layer identifies the direction of motion of the crowd and knows if they stop to watch the advertisement. And matching parameters from a preset target control parameter database through the target mapping data. In this case, the model may choose to display advertising content associated with viewers of different ages to better attract their interest, thereby improving advertising effectiveness.

Wherein a plurality of encoded fields are extracted from the target mapping data. These code fields contain information about the characteristics and behavior of the viewer, as well as data related to the adjustment of the LED display content. These code fields are used for the data encoding process. This process converts the encoded fields into a set of target encoded data that contains a numerical representation of the viewer's characteristics. This step helps to make the target map data easier to process and compare. Then, parameter type matching is performed for the target encoded data. It is determined which parameter types are contained in the target data. The parameter types include age range, gender, interests, etc. of the audience. The matching process helps identify the type of parameter that needs to be considered in order to select the relevant parameter from the target control parameter database. These parameter types are matched against a target control parameter database. The target control parameter database contains a set of control parameters of various different parameter types. The matching process retrieves the relevant control parameters from the database according to the parameter type of the target encoded data. Finally, the required play control parameters are obtained through matching. These parameters can be directly applied to the LED display module to adjust the manner of presentation of the content to better meet the needs and characteristics of the viewer. For example, suppose that audience information is extracted from a database of an advertising platform, including encoding fields such as age encoding, gender encoding, and interest encoding. These encoded fields are converted into target encoded data by a data encoding process. For example, data of different ages is encoded as numbers, such as 18-24 years old encoded as 1, 25-34 years old encoded as 2, and so on. Then, the type of parameters to be considered is determined according to the content of the target encoded data. In this embodiment, there are parameter types including age range, gender, and interests. Further, these parameter types are matched from a target control parameter database of the advertising platform. The database contains various control parameters such as advertisement display frequency, display position, display time and the like. Finally, the server obtains the play control parameters related to the target coded data through matching. These parameters may be used to automate advertisement presentation decisions to ensure that the advertising content better meets the needs and characteristics of a particular audience. If the audience age is between 18 and 24 years, the advertisement platform can automatically select and display advertisement content suitable for the age range, so that the pertinency and the effect of advertisements are improved.

And S107, performing play display control on the plurality of divided video frames through play control parameters based on play positions corresponding to the divided video frames.

It should be noted that, for each divided video frame, coordinate analysis is performed to obtain play position coordinate data of each frame. These coordinate data specify the position of each frame on the LED display module to ensure proper presentation. The playback control parameters are traversed, including playback content data, playback duration data, and playback brightness data. These parameters are used to decide how to show each segmented video frame. The play content data includes contents such as images, videos, or texts to be displayed. This may be advertising, bulletin, real-time information, etc. Different divided video frames can have different content data, and personalized display is carried out according to the needs. The play duration data determines the length of time each split video frame should be displayed. This helps control the speed and smoothness of the presentation. The playback luminance data specifies the luminance level of each divided video frame. This is important for adjusting the brightness of the LED display under different environmental conditions. And based on the parameters, performing play display control on the plurality of divided video frames. This includes displaying the correct content data on the correct location coordinates and displaying it at the appropriate brightness for the specified duration. For example, assuming that the billboard is divided into a plurality of regions, each region may display different advertising content. Each area on the billboard is subjected to a coordinate analysis to obtain their positional coordinate data. This ensures that the advertising frames on each region will be displayed in the correct position. Then, the play control parameter is traversed. Based on these parameters, the LED billboards will play corresponding advertising content on each area with the correct brightness according to the requirements of the play control parameters according to the coordinate analysis. The advertising content will be displayed over a prescribed period of time to attract the attention of the customer and to provide promotional information.

In the embodiment of the application, a plurality of contents to be displayed are obtained, and the contents to be displayed are subjected to frame segmentation to obtain a plurality of segmented video frames; extracting parameters of the LED display module to obtain a module parameter set; analyzing playing positions of the plurality of divided video frames through the module parameter set to obtain playing positions corresponding to each divided video frame; carrying out crowd density analysis on the crowd in front of the LED display module by using an infrared sensor to obtain target crowd density; the method comprises the steps that video acquisition is carried out on crowds in front of an LED display module through a video acquisition device, so that crowd image data are obtained; inputting the target crowd density and crowd image data into a playing control model for control parameter analysis to obtain playing control parameters; and playing and displaying the plurality of divided video frames through playing control parameters based on the playing positions corresponding to each divided video frame. In the scheme of the application, the LED display system can intelligently select the display content which is most matched with the current audience and environmental conditions by matching the target crowd density and crowd image data with the control parameters. This ensures that the displayed content is more relevant and more interesting to the viewer. The LED display system adjusts the content and brightness in real time according to the change of crowd density so as to adapt to different situations. This means that the content can be presented more clearly in crowded situations, while the energy consumption and display intensity can be reduced when the crowd is rare, improving the accuracy of the content display. The LED display system is not required to continuously display the same content, and can be adjusted according to actual requirements. This reduces unnecessary waste of content and energy, and improves the accuracy of advertising and information.

In a specific embodiment, the process of executing step S101 may specifically include the following steps:

(1) Performing video decoding processing on a plurality of contents to be displayed to obtain decoded video data of each content to be displayed;

(2) Performing time stamp extraction on the decoded video data of each content to be displayed to obtain time stamp data of each content to be displayed;

(3) And based on the time stamp data of each content to be displayed, carrying out frame segmentation on the plurality of content to be displayed to obtain a plurality of segmented video frames.

Specifically, video decoding processing is performed on a plurality of contents to be displayed. Decoding is the process of converting compressed data in a video file into images and sound. This step is typically accomplished using a specific decoder, such as h.264 or h.265, depending on the encoding format of the video file. After decoding, the server will obtain the original image and sound data of the video file. The time stamp data of each content to be displayed is extracted. The time stamp is the time information for each frame in the video to ensure that the frames are played in the correct time order. The time stamp is typically in milliseconds and records the presentation time per frame. This step helps to ensure that the video content is played in a predetermined order. Based on the time stamp data of each content to be displayed, frame division is performed to obtain a plurality of divided video frames. Frame segmentation is the process of splitting a video into a series of successive image frames, each frame having a particular time stamp. This allows the video content to be cut into small pieces for easier playback on the LED display module. For example, assume there are two advertisements, one is a 30 second A advertisement and the other is a 15 second B advertisement. The server decodes the two video files into image frames and sound data using an appropriate decoder. The server extracts the time stamp data for each advertisement. For an a ad, the timestamp will record the presentation time for each frame, ensuring normal play within 30 seconds. For cell phone advertising, the timestamp will record the presentation time of each frame to ensure normal play within 15 seconds. Based on these time stamp data, the server performs frame segmentation. The video content of each commercial is cut into a series of image frames, each frame having its own time stamp. For example, in the case of an A ad, the server cuts into 900 frames of 1/30 seconds each. In the case of B, the server cuts into 450 frames, each of 1/30 seconds. In this way, the server obtains a plurality of divided video frames, each frame having its own time stamp, which can be played in time order. The frames can be displayed on the LED screen at the correct time and in sequence, so that the advertising content can be played in a high-quality mode within a specified time, and the attention of customers is attracted and advertising information is transmitted.

In a specific embodiment, as shown in fig. 2, the process of performing step S103 may specifically include the following steps:

s201, dividing display areas of the LED display module through a module parameter set to obtain a plurality of display areas;

s202, calibrating the central position of each divided video frame to obtain the central position data of each divided video frame;

s203, performing size calculation on each divided video frame to obtain size data of each divided video frame;

s204, based on the central position data of each divided video frame and the size data of each divided video frame, performing play position analysis on the plurality of divided video frames to obtain the play position corresponding to each divided video frame.

It should be noted that, the LED display module is divided into display areas by using the module parameter set. The LED screen is divided into a plurality of different areas, and each area can independently control the display of the content. Such segmentation may be determined according to the size and resolution of the LED screen and display requirements. For each divided video frame, a center position calibration is required. The center coordinates of each frame are found to determine the exact location on the LED screen. The center position is typically expressed in pixel coordinates and indicates the center point of the frame. And then, carrying out size calculation on each divided video frame to obtain size data of each divided video frame. This includes the width and height of the frame, typically in pixels. The size data helps determine the size of the frame on the LED screen. And performing play position analysis based on the center position data and the size data of each divided video frame. The exact location of each segmented video frame on the LED screen is determined for accurate presentation. Analysis includes determining the upper left corner coordinates of the frame, as well as the precise location within the display area. For example, assuming an LED screen resolution of 1920x1080 pixels, the server performs display area segmentation, center position calibration, size calculation, and playback position analysis by a set of module parameters. The server uses the set of module parameters to determine a display area segmentation of the LED screen. Assuming that the server divides the screen into upper and lower areas, the upper part is used for displaying the a advertisement and the lower part is used for displaying the B advertisement. For the advertisement A, the server performs center position calibration and finds the center coordinates of the advertisement frames. Assume that the center coordinates of the a advertisement frame are (960, 540) pixels. The server then calculates the size of the a ad frame, assuming it is 1280x720 pixels. For the advertisement A, the server performs center position calibration and finds the center coordinates of the advertisement frames. Assume that the center coordinates of the a advertisement frame are (960, 270) pixels. The server then calculates the size of the a ad frame, assuming it is 960x540 pixels. Based on the center position data and the size data, the server performs playback position analysis. The a ad frame will be shown in the upper region of the screen at a specific location (960, 540) and the a ad frame will be shown in the lower region at a specific location (960, 270). In this way, the server ensures that the advertising content is presented in the correct position and size on the LED billboards, attracting the viewer's attention and providing attractive advertising content.

In a specific embodiment, as shown in fig. 3, the process of executing step S104 may specifically include the following steps:

s301, crowd position detection is carried out on crowds in front of the LED display module through an infrared sensor, and a plurality of crowd position data are obtained;

s302, performing time sequence data calculation on a plurality of crowd position data to obtain time sequence data corresponding to each crowd position data;

s303, respectively grouping the position data of each group of people based on the time sequence data corresponding to the position data of each group of people to obtain a plurality of grouped position data;

s304, calculating the personnel number of each group of position data to obtain the personnel number corresponding to each group of position data;

s305, carrying out crowd density analysis on the crowd in front of the LED display module by the number of people corresponding to each piece of grouping position data to obtain target crowd density.

It should be noted that, the crowd position detection is performed on the area in front of the LED display module by using the infrared sensor. The infrared sensor may detect thermal radiation of the human body to determine the location of the crowd. This generates a plurality of crowd position data, each data including coordinate information representing the position of the crowd in front of the LED display module. Then, for each group position data, a time stamp needs to be recorded to create time series data. The time stamp represents the time when the crowd is detected and can be used to track the movement and density changes of the crowd. This step generates time-series data corresponding to each group position data. The data is grouped based on time-series data corresponding to each group of people position data. Adjacent time series data are combined together to obtain a continuous set of crowd location information. These packets may be defined according to a desired time span, for example, every minute or hour. For each group position data, the number of persons is calculated. This can be achieved by analyzing the position information in each time series data. For example, the number of people passing through the sensor over a particular period of time may be calculated to estimate the number of people. And carrying out crowd density analysis according to the number of people corresponding to each group of position data. And calculating the crowd density in front of the LED display module according to the number of people and the time. The density may be the number of people per square meter to reflect the crowding.

In a specific embodiment, as shown in fig. 4, the process of executing step S106 may specifically include the following steps:

s401, inputting the target crowd density into a first convolution layer of a play control model for feature extraction to obtain corresponding first convolution features;

s402, inputting crowd image data into a second convolution layer of the playing control model to perform feature extraction to obtain corresponding second convolution features;

s403, inputting the first convolution feature and the second convolution feature into a feature fusion layer of the play control model to perform feature fusion, so as to obtain a target fusion feature;

s404, inputting the target fusion features into a feature mapping layer of the play control model to perform feature mapping to obtain target mapping data;

s405, performing parameter matching from a preset target control parameter database through target mapping data to obtain play control parameters.

Specifically, the target crowd density and crowd image data are respectively transmitted into different convolution layers of the playing control model. These convolutional layers are part of a deep learning model that is used to extract features in the input data. The first convolution layer is responsible for extracting features related to crowd density, such as density distribution and density gradient. Meanwhile, the second convolution layer is responsible for extracting image features, such as texture, color, and shape, from the crowd image data. The output features of the two convolution layers are passed to the feature fusion layer, respectively. The function of the feature fusion layer is to fuse these features together to generate the target fusion feature. This step will combine the density information and the image information to enable the model to better understand the entire scene. The target fusion features are then fed into a feature mapping layer, which further processes the features to generate target mapping data. This process involves normalization, dimension reduction, or other transformation of the features to ensure that the data is suitable for subsequent parameter matching. The target mapping data is used for matching with a preset target control parameter database. This database contains playback control parameters for various situations, such as content to be played back at different densities and scenes, playback duration, brightness, etc. The target mapping data will be compared with parameters in the database to determine the playback control parameters that best fit the current situation. For example, suppose that during peak shopping times, the population density is higher in the shopping mall. The infrared sensor detects this and passes the density data to the playback control model. These data are passed through a first convolution layer, extracting density-related features such as density distribution and density gradient. Meanwhile, crowd image data is also transmitted to the playing control model, and image features including the surrounding environment of the billboard and the image features of the crowd are extracted through the second convolution layer. The output features of the two convolution layers are transmitted to a feature fusion layer, and the feature fusion layer combines the density features and the image features to generate target fusion features. The target fusion features are then transferred into a feature mapping layer, and the features are further processed to generate target mapping data. And matching the target mapping data with a preset target control parameter database. If the parameters in the database indicate that more attractive advertising content should be played at high density, the server will automatically adjust the display content of the LED billboards to attract more shoppers.

In a specific embodiment, the process of executing step S405 may specifically include the following steps:

(1) Extracting coding fields from the target mapping data to obtain a plurality of corresponding coding fields;

(2) Performing data coding processing on the target mapping data through a plurality of coding fields to obtain corresponding target coding data;

(3) Performing parameter type matching on the target coding data to obtain a plurality of corresponding target parameter types;

(4) And performing control parameter database matching on each target parameter type to obtain a target control parameter database, and performing parameter matching from the target control parameter database to obtain a play control parameter.

Specifically, the target mapping data is subjected to code field extraction to obtain a plurality of corresponding code fields. These encoded fields may be specific features or combinations of features in the data that represent different aspects of the target map data. For example, if the object map data contains density, location and scene information, the encoded fields may represent these information separately. These code fields are used for the data encoding process. The data encoding may include different conversion and encoding methods to convert the target mapping data into a form more suitable for matching while preserving important information. The generated target encoded data will contain a plurality of encoded fields, each field corresponding to a particular type of parameter. And determining the parameter type corresponding to each coding field. This requires a set of parameter types to be defined in advance for matching. These target parameter types will be used to match to the target control parameter database. The target control parameter database contains mapping relations between various parameter types and play control parameters. These play control parameters may include content selection, play duration, brightness, etc. By the target parameter type, each encoded field may be matched to a related parameter in the target control parameter database. This will generate a set of play control parameters for adjusting the content display of the LED display module to meet the current situation requirements. For example, the target mapping data includes crowd density near the shopping mall entrance, time (e.g., day or night), weather conditions, and specific events (e.g., holiday promotions). These data are extracted as encoded fields, one of which represents crowd density, another of which represents time, another of which represents weather, and yet another of which represents a particular event. These code fields are subjected to a data encoding process to ensure that they are all within the same range of values. Each field is then assigned to a target parameter type, such as "content select", "play duration", and "brightness". The target parameter type is used for matching to a target control parameter database, which comprises play control parameters under different situations. If the data indicates that the day is currently, on a sunny day, and there is a particular holiday promotional activity, the server matches the appropriate parameters from the database to adjust the content of the LED billboards to select as the relevant holiday promotional content, play longer, and increase brightness to attract more shoppers.

In a specific embodiment, the process of executing step S107 may specifically include the following steps:

(1) Carrying out coordinate analysis on the playing position corresponding to each divided video frame to obtain playing coordinate data corresponding to each divided video frame;

(2) Performing data traversal on the play control parameters to obtain corresponding play content data, play duration data and play brightness data;

(3) And performing play display control on the plurality of divided video frames by playing the content data, the play duration data and the play brightness data.

Specifically, coordinate analysis is performed on the playing position corresponding to each divided video frame, so as to obtain playing coordinate data corresponding to each divided video frame. The coordinate analysis is based on the physical structure of the LED screen to ensure that each segmented video frame is properly presented on the screen. The coordinate analysis produces play coordinate data for each of the segmented video frames that indicates the position of the video frame on the LED screen. These coordinate data may be pixel coordinates or other suitable units to ensure that the video frames are properly aligned on the screen. And traversing the data of the play control parameters to obtain play content selection, play duration time, play brightness and the like corresponding to each divided video frame. The purpose of parameter traversal is to assign appropriate parameter values to each frame to determine how the frame should be displayed. For example, if it is daytime, the server selects the parameter with higher brightness, and if it is evening, the server selects the parameter with lower brightness. By playing the content data, the play duration data, and the play brightness data, a plurality of divided video frames can be controlled to perform play presentation control. These data guide the content, display time and brightness level of each frame.

The method for displaying the content of the LED display module in the embodiment of the present invention is described above, and the following describes a content display device of the LED display module in the embodiment of the present invention, referring to fig. 5, one embodiment of the content display device of the LED display module in the embodiment of the present invention includes:

the obtaining module 501 is configured to obtain a plurality of contents to be displayed, and divide a plurality of frames of the contents to be displayed to obtain a plurality of divided video frames;

the extracting module 502 is configured to extract parameters of a preset LED display module to obtain a module parameter set;

a first analysis module 503, configured to perform play position analysis on a plurality of the split video frames through the module parameter set, so as to obtain a play position corresponding to each split video frame;

the second analysis module 504 is configured to perform crowd density analysis on the crowd in front of the LED display module through a preset infrared sensor, so as to obtain a target crowd density;

the acquisition module 505 is configured to acquire video of a crowd in front of the LED display module through a preset video acquisition device, so as to obtain crowd image data;

the input module 506 is configured to input the target crowd density and the crowd image data into a preset play control model for control parameter analysis, so as to obtain play control parameters;

And the display module 507 is configured to perform display control on the multiple divided video frames according to the display control parameters based on the display positions corresponding to each divided video frame.

The method comprises the steps of obtaining a plurality of contents to be displayed through the cooperative cooperation of the components, and carrying out frame segmentation on the plurality of contents to be displayed to obtain a plurality of segmented video frames; extracting parameters of the LED display module to obtain a module parameter set; analyzing playing positions of the plurality of divided video frames through the module parameter set to obtain playing positions corresponding to each divided video frame; carrying out crowd density analysis on the crowd in front of the LED display module by using an infrared sensor to obtain target crowd density; the method comprises the steps that video acquisition is carried out on crowds in front of an LED display module through a video acquisition device, so that crowd image data are obtained; inputting the target crowd density and crowd image data into a playing control model for control parameter analysis to obtain playing control parameters; and playing and displaying the plurality of divided video frames through playing control parameters based on the playing positions corresponding to each divided video frame. In the scheme of the application, the LED display system can intelligently select the display content which is most matched with the current audience and environmental conditions by matching the target crowd density and crowd image data with the control parameters. This ensures that the displayed content is more relevant and more interesting to the viewer. The LED display system adjusts the content and brightness in real time according to the change of crowd density so as to adapt to different situations. This means that the content can be presented more clearly in crowded situations, while the energy consumption and display intensity can be reduced when the crowd is rare, improving the accuracy of the content display. The LED display system is not required to continuously display the same content, and can be adjusted according to actual requirements. This reduces unnecessary waste of content and energy, and improves the accuracy of advertising and information.

Fig. 5 above describes the content display device of the LED display module in the embodiment of the present invention in detail from the point of view of the modularized functional entity, and the content display apparatus of the LED display module in the embodiment of the present invention is described in detail from the point of view of hardware processing.

Fig. 6 is a schematic structural diagram of a content display device of an LED display module according to an embodiment of the present invention, where the content display device 600 of the LED display module may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the content display device 600 of the LED display module. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the content display device 600 of the LED display module.

The content display device 600 of the LED display module may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as WindowsServe, macOSX, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the content display device structure of the LED display module shown in fig. 6 does not constitute a limitation of the content display device of the LED display module, and may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.

The invention also provides a content display device of the LED display module, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the content display method of the LED display module in the embodiments.

The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, or may be a volatile computer readable storage medium, where instructions are stored in the computer readable storage medium, where the instructions when executed on a computer cause the computer to perform the steps of the content display method of the LED display module.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

The integrated units, if implemented in the form of software functional units and sold or passed as separate products, may be stored in a computer readable storage medium. Based on the understanding that the technical solution of the present invention may be embodied in essence or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a storage medium, comprising instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.

The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The content display method of the LED display module is characterized by comprising the following steps of:

2. The method for displaying contents of an LED display module according to claim 1, wherein said obtaining a plurality of contents to be displayed and frame-dividing a plurality of said contents to be displayed to obtain a plurality of divided video frames comprises:

3. The method for displaying contents of an LED display module according to claim 1, wherein said performing, by using said module parameter set, a play position analysis on a plurality of said divided video frames to obtain a play position corresponding to each of said divided video frames, comprises:

4. The method for displaying the content of the LED display module according to claim 1, wherein the step of performing crowd density analysis on the crowd in front of the LED display module by using a preset infrared sensor to obtain the target crowd density comprises:

5. The method for displaying contents of an LED display module according to claim 1, wherein inputting the target crowd density and the crowd image data into a preset play control model for control parameter analysis to obtain play control parameters comprises:

6. The method for displaying contents of an LED display module according to claim 5, wherein said performing parameter matching from a preset target control parameter database by using said target mapping data to obtain said play control parameter comprises:

7. The method for displaying contents of an LED display module according to claim 1, wherein said performing, based on the play position corresponding to each of the divided video frames, play display control on a plurality of the divided video frames by the play control parameter includes:

8. The utility model provides a content display device of LED display module assembly which characterized in that, the content display device of LED display module assembly includes:

9. The utility model provides a content display device of LED display module assembly, its characterized in that, the content display device of LED display module assembly includes: a memory and at least one processor, the memory having instructions stored therein;

the at least one processor invokes the instructions in the memory to cause the content display device of the LED display module to perform the content display method of the LED display module of any one of claims 1-7.

10. A computer readable storage medium having instructions stored thereon, wherein the instructions when executed by a processor implement a content display method of the LED display module of any one of claims 1-7.