Safety verification method and system for LED display screen leasing

Abstract

The invention relates to the technical field of safety verification systems, in particular to a safety verification method and system for LED display screen leasing, and the method comprises the steps: firstly obtaining the playing content of a target display screen, building a video feature according to the playing content, and then encrypting the video feature to obtain feature data; and then obtaining lease information of the target display screen, decrypting the feature data to obtain video features, matching the lease information with the video features to obtain a content matching score, and performing safety response. Compared with an existing safety verification mode, the safety verification is realized by matching the feature data with the lease information, namely verifying the consistency of the display screen playing content and the pre-registered lease information, and related personnel do not need to frequently perform identity verification, so that the convenience degree of safety verification is greatly improved, the working efficiency is improved, and the safety verification efficiency is improved. The problem that in the prior art, safety verification of an LED display screen is too tedious is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of security verification systems, and in particular to a security verification method and system for LED display screen leasing. Background Art

[0002] LED display screens are widely used in advertising, stage performances, sports events, conferences and exhibitions due to their high brightness, low energy consumption, and bright colors. With the growth of market demand, the LED display screen rental industry has developed rapidly. The rental model provides customers with flexible options. However, the mobility and high value of the equipment also bring risks of theft and transfer. Therefore, the security verification of the display screen is particularly important in the LED display screen rental process.

[0003] At present, the traditional security verification methods such as identity recognition are still used in the process of leasing LED display screens. However, LED display screens are modular structures, and they need to go through a series of complex transportation, assembly, calibration and other processes before they are put into use. The existing verification methods, such as identity verification for each module, will undoubtedly further increase the complexity of the operation in the process of leasing LED display screens, affecting the work efficiency of relevant personnel.

[0004] Therefore, people need a more convenient security verification method and system that can be applied to LED display screen rental. Summary of the invention

[0005] Therefore, the present invention provides a security verification method and system for LED display screen rental, so as to solve the problem that the security verification of LED display screen is too complicated in the prior art.

[0006] The present invention provides a security verification method for LED display screen leasing, comprising: Obtain the playback content of the target display screen and establish video features based on the playback content; Encrypt the video features to obtain feature data; Obtaining the rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; Acquire feature data, and decrypt the feature data to obtain video features; Match the rental information and video features to obtain a content matching score; Perform security response based on the match score.

[0007] In a preferred embodiment, the video features include text features, color features, and dynamic features; obtaining the playback content of the target display screen, and establishing the video features according to the playback content, including: Get the video stream of the playback content; Extract text from the video stream and obtain text features based on the text content; Extract color features from the video stream to obtain color features; The differences between adjacent image frames in the video stream are counted, and dynamic features are obtained based on the differences between adjacent image frames.

[0008] In a preferred embodiment, extracting text from a video stream and obtaining text features according to the text content includes: Perform OCR blur processing on all image frames in the video stream to obtain text data; The word frequency of text data is counted based on the TF-IDF vectorization algorithm, and the text word frequency matrix is ​​obtained as the text feature.

[0009] In a preferred embodiment, color feature extraction is performed on a video stream to obtain color features, including: Get the image frame in the video and convert it to HSV color space; The image frame in the converted color space is compressed by color gamut quantization, and the pixel ratio of each quantization interval is counted to generate a color histogram as a color feature.

[0010] In a preferred embodiment, counting the differences between adjacent image frames in a video stream and obtaining dynamic features according to the differences between adjacent image frames includes: Count the differences between adjacent image frames in the video stream to obtain the difference rate of each pair of adjacent image frames; Recording a plurality of image frames whose difference rate is less than a preset difference threshold and are continuous as one event; According to the timing characteristics of each event in the video stream, the dynamic features are obtained.

[0011] In a preferred embodiment, the rental information includes keywords; the rental information and video features are matched to obtain a content matching score, including: Calculate a first matching score based on the word frequency of the keyword represented by the text word frequency matrix; Get the preset color mode and preset dynamic mode corresponding to the keyword; Matching the preset color mode and the color feature to obtain a second matching score; Matching the preset dynamic pattern and the dynamic feature to obtain a third matching score; Get the preset weight ratio of each video feature; The first matching score, the second matching score and the third matching score are weighted and summed based on a preset weight ratio to obtain a content matching score.

[0012] In a preferred embodiment, calculating the first matching score based on the word frequency of the keyword represented by the text word frequency matrix includes: Get the word vector of each word in the text word frequency matrix; Taking the frequency of each word as the weight, multiple word vectors are weighted averaged to obtain the word frequency feature vector; Get the word vector of the keyword; Calculate the dot product of the keyword's word vector and the word frequency feature vector to get the first matching score.

[0013] In a preferred embodiment, obtaining a preset proportional weight of each video feature includes: According to the number of non-zero elements in the text word frequency matrix, the text scale eigenvalue is obtained; If the scale characteristic value of this article exceeds the preset scale threshold, the first proportion is obtained as the preset proportion weight; If the scale characteristic value of this article does not exceed the preset scale threshold, the second proportion is obtained as the preset proportion weight; Among them, the proportion corresponding to the text features in the first ratio is higher than that in the second ratio.

[0014] In a preferred embodiment: performing a security response according to the matching score includes: Determine the security risk level based on the matching score; If the security risk level is medium risk, a screen control lock command is sent to the target display screen through the LoRa channel; If the security risk level is high, a signal to activate the physical fuse circuit is sent to the target display screen and a positioning alarm is triggered.

[0015] The present invention also provides a security verification system for LED display screen leasing, comprising a recording module and a verification module, wherein the recording module is located in the target display screen for leasing, and is used for: Obtain the playback content of the target display screen and establish video features based on the playback content; Encrypt the video features to obtain feature data; Authentication module for: Obtaining the rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; Acquire feature data, and decrypt the feature data to obtain video features; Match the rental information and video features to obtain a content matching score; Perform security response based on the match score.

[0016] The beneficial effects of adopting the above embodiment are: The present invention provides a security verification method and system for LED display screen rental, which first obtains the playback content of the target display screen, establishes video features according to the playback content, and then encrypts the video features to obtain feature data. Then, the rental information of the target display screen is obtained, the rental information includes information describing the playback content of the target display screen, the feature data is obtained, and the feature data is decrypted to obtain the video features, the rental information and the video features are matched to obtain the content matching score, and finally a security response is made according to the matching score. Compared with the existing security verification method, the present invention extracts features of the playback content of the target display screen and encrypts and records them, so that the video features and the rental information can be matched, that is, by verifying the consistency between the playback content of the display screen and the pre-registered rental information, security verification can be achieved, and timely response can be made when the device is detected to be stolen and transferred, without the need for relevant personnel to frequently perform identity verification, which greatly improves the convenience of security verification, improves work efficiency, and solves the problem that the LED display screen security verification is too cumbersome in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A method flow chart of an embodiment of a security verification method for LED display screen leasing provided by the present invention; Figure 2 for Figure 1 Specific step diagram of step S101; Figure 3 for Figure 1 Specific step diagram of step S105; Figure 4 This is a system structure diagram of an embodiment of a security verification system for LED display screen rental provided by the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Combination Figure 1 As shown, a specific embodiment of the present invention discloses a security verification method for LED display screen leasing, comprising: S101, obtaining the playback content of the target display screen, and establishing video features according to the playback content; S102, encrypting the video features to obtain feature data; S103, obtaining rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; S104, acquiring feature data, and decrypting the feature data to obtain video features; S105, matching the rental information and the video features to obtain a content matching score; S106. Perform a security response based on the matching score.

[0020] In the above steps, the rental information refers to the relevant information registered and input by the rental personnel when renting the display screen, which is mainly used to describe the playback content of the display screen. Steps S101-S102 can be run by the hardware inside the target display screen, and its purpose is to record the playback content of the target display screen. Steps S103-S106 are mainly for security verification, which can be run by the target display screen itself, such as performing security verification regularly during use and making security responses in a timely manner, or by other facilities such as computers in the warehouse, such as performing security checks when the display screen is returned. If an abnormality is found, the stolen display screen can be remotely controlled for security response.

[0021] Compared with the existing security verification methods, the present invention extracts features of the playback content of the target display screen and records them in encrypted form, so that the video features and rental information can be used for matching, that is, security verification is achieved by verifying the consistency between the display screen playback content and the pre-registered rental information, and timely response can be made when the device is detected to be stolen or transferred, without the need for relevant personnel to frequently perform identity verification, which greatly improves the convenience of security verification, improves work efficiency, and solves the problem of overly cumbersome security verification of LED screens in the prior art.

[0022] It is conceivable that the ideal situation is to directly save the playback content of the target display screen, use the video itself as a video feature and compare it with the rental information. However, considering the user's privacy and the hardware conditions of the LED display screen itself, the above method is obviously difficult to achieve.

[0023] Therefore, combined with Figure 2 As shown, the present invention also provides a preferred embodiment, in which the video features include text features, color features and dynamic features. The above step S101, obtaining the playback content of the target display screen, and establishing the video features according to the playback content, specifically includes: S201, obtaining a video stream of a playback content; S202, extracting text from the video stream, and obtaining text features according to the text content; S203, extracting color features from the video stream to obtain color features; S204: Count the differences between adjacent image frames in the video stream, and obtain dynamic features according to the differences between adjacent image frames.

[0024] In the above process, the text features can be the text content information contained in the video stream, such as advertising slogans, news titles, program names, etc., or statistical word frequencies, keywords, etc. By extracting and analyzing these text features, the theme and key information of the playback content can be effectively identified, and then compared with the relevant content requirements in the rental information.

[0025] Color features mainly reflect the color information of the video screen. It can include the main color tone, color distribution, color saturation, etc. in the video screen. These are helpful to match the color style requirements of the playback content in the rental information.

[0026] Dynamic features reflect the characteristics of video images changing over time. They can be obtained by counting the differences between adjacent image frames in the video stream. For example, in a LED display screen rental scenario for a live sports event, dynamic features may be manifested as the rapid movement of athletes, the trajectory of a ball, etc. Specifically, the difference in pixel value changes between adjacent frames can be calculated, or the optical flow method can be used to estimate the speed and direction of objects in the picture. Based on the differences between these adjacent image frames, dynamic features can be obtained, such as the speed range of moving objects, the distribution of movement directions, the frequency of picture changes, etc. These dynamic features can be used to determine whether the playback content meets the requirements for dynamic effects in the rental information.

[0027] In this embodiment, the usage of the LED display screen is implicitly recorded through the above three dimensions, thereby avoiding problems such as privacy and data storage capacity, making the present invention more practical.

[0028] Specifically, in a preferred embodiment, the above step S202, extracting text from the video stream and obtaining text features according to the text content, specifically includes: Perform OCR blur processing on all image frames in the video stream to obtain text data; The word frequency of text data is counted based on the TF-IDF vectorization algorithm, and the text word frequency matrix is ​​obtained as the text feature.

[0029] The above process obtains text data by performing OCR fuzzy processing on all image frames in the video stream, and can extract text information in the video as comprehensively as possible. Even when there is a certain degree of blur, noise and other interference in the video screen, OCR fuzzy processing can improve the accuracy of text recognition and reduce the feature deviation caused by inaccurate text extraction. At the same time, the text data is statistically analyzed based on the TF-IDF vectorization algorithm to obtain the text word frequency matrix as a text feature, which can fully characterize the importance and distribution of each word in the text data. The TF-IDF algorithm can measure the importance of a word to a document set or one of the documents in a corpus. In the LED display screen rental scenario, this means that the key text information in the playback content (such as specific advertising slogans, important notification content, etc.) can be prominently reflected in the text word frequency matrix, so that the text features can more accurately reflect the text nature of the playback content, which is conducive to accurate matching with the text requirements in the rental information.

[0030] The text word frequency matrix is ​​a quantifiable text feature representation that converts text data into a numerical matrix for easy subsequent calculation and comparison operations. During the security verification process, it can be easily compared with the text-related requirements in the rental information (such as the specified keywords and their importance weights, etc.), and the degree of match between the text part of the playback content and the rental information can be evaluated by calculating the similarity between the matrices, which provides strong support for obtaining accurate content matching scores, making the security verification process more scientific, rigorous and efficient.

[0031] Furthermore, in a preferred embodiment, the above step S203 specifically includes: Get the image frame in the video and convert it to HSV color space; The image frame in the converted color space is compressed by color gamut quantization, and the pixel ratio of each quantization interval is counted to generate a color histogram as a color feature.

[0032] In the above process, color gamut quantization and compression are performed on the image frames of the converted color space, which can effectively reduce the amount of data. In video images, color information is often rich and complex, and directly processing the original color data will consume a lot of computing resources and time. Through color gamut quantization and compression, the continuous color space is divided into several discrete quantization intervals, and the intervals are used to replace the specific color values, which can greatly reduce the amount of data that needs to be processed. At the same time, the quantized color interval data is also easier to count and analyze, making subsequent operations such as pixel ratio statistics more efficient, which is conducive to improving the operating efficiency of the entire security verification method, and can complete the extraction and processing of color features in a shorter time, adapting to the security verification needs with high real-time requirements in LED display screen rental scenarios.

[0033] By counting the pixel ratios of each quantization interval and generating a color histogram as a color feature, the color distribution of the video screen can be fully characterized, reflecting the color composition of the screen as a whole. This comprehensive color feature representation method can better reflect the color style and characteristics of the playback content, and when matched with the color regulations of the playback content in the rental information, it can more accurately determine whether it meets the requirements. For example, the rental information may stipulate that the playback content needs to be based on a certain specific color theme. Through the color histogram, it can be intuitively compared and verified, which improves the accuracy and effectiveness of security verification.

[0034] Further, in a preferred embodiment, the above step S204, counting the differences between adjacent image frames in the video stream and obtaining dynamic features according to the differences between adjacent image frames, specifically includes: Count the differences between adjacent image frames in the video stream to obtain the difference rate of each pair of adjacent image frames; Recording a plurality of image frames whose difference rate is less than a preset difference threshold and are continuous as one event; According to the timing characteristics of each event in the video stream, the dynamic features are obtained.

[0035] In the above process, by counting the differences between adjacent image frames in the video stream and obtaining the difference rate of each pair of adjacent image frames, the dynamic changes of the video screen can be accurately captured. This frame-by-frame comparison method can meticulously discover dynamic information such as the movement of objects in the picture and the switching of scenes. Recording multiple continuous image frames with a difference rate less than the preset difference threshold as an event can effectively filter out key events in the video. During video playback, there may be a large number of picture changes caused by some insignificant factors (such as slight light fluctuations, small background jitters, etc.), and these changes have no substantial significance for judging the dynamic characteristics of the playback content. By setting a difference threshold, those small, non-critical changes are filtered out, and only continuous image frames with relatively stable differences are treated as an event, which can highlight the main dynamic events in the video, such as a complete action process, a scene switch, etc., so that the dynamic features are more focused on the key content, improving the effectiveness and representativeness of the dynamic features, and facilitating a more accurate assessment of whether the dynamics of the playback content meet the rental requirements during the security verification process.

[0036] The temporal features of the video stream in the above process, including the occurrence time, duration, interval time between events, etc., can fully characterize the temporal characteristics of the dynamic changes of the video screen. These features describe the rhythm and regularity of the video dynamics from the time dimension, thereby generating a feature description that can fully reflect the dynamic characteristics of the playback content.

[0037] Similarly, similar to the problem of recording the content played by the LED display screen in the previous article, when performing security verification, if the user directly provides the video content to be displayed as the rental information, it will undoubtedly reduce the difficulty of matching and improve accuracy. However, this is only an ideal situation. In reality, the user may not be able to provide complete and accurate display content when renting, so the present invention also provides a preferred embodiment.

[0038] Combination Figure 3 As shown, in this embodiment, the rental information includes keywords, and the above step S105, matching the rental information with the video features to obtain a content matching score, specifically includes: S301, calculating a first matching score based on the word frequency of the keyword represented by the text word frequency matrix; S302, obtaining a preset color mode and a preset dynamic mode corresponding to the keyword; S303, matching the preset color mode and the color feature to obtain a second matching score; S304, matching the preset dynamic pattern with the dynamic feature to obtain a third matching score; S305, obtaining a preset weight ratio of each video feature; S306: Perform weighted summation on the first matching score, the second matching score, and the third matching score based on a preset weight ratio to obtain a content matching score.

[0039] This embodiment provides a method for matching keywords with the above three video features, so that when registering rental information, the user only needs to provide some keywords related to the playback content to achieve matching between the rental information and the display screen record, which greatly improves the flexibility of use and improves practicality while ensuring security.

[0040] In the above process, the preset color mode and the preset dynamic mode are respectively data samples corresponding to specific keywords stored in advance. For example, if the keyword is "wedding", the corresponding preset color mode may include a color histogram dominated by warm colors such as red and pink. If the keyword is "technology product display", the preset color mode may be a color mode dominated by cold colors such as blue and silver. In practice, through the analysis of a large number of actual rental cases and related industry practices, a color mode library can be established to associate different keywords with corresponding preset color modes, so that the preset color mode corresponding to the keyword in the rental information can be accurately obtained during the security verification process, so as to effectively match it with the color features in the video features.

[0041] Similarly, the preset dynamic mode is also determined based on the characteristics of the rental scenario and keywords. Taking the rental keyword "sports events" as an example, the preset dynamic mode may include specific frequency, frame length and other data (which needs to be determined in combination with the encoding method of the specific dynamic features). Similarly, a dynamic mode library can be built to match keywords with corresponding preset dynamic modes, so that during security verification, the preset dynamic mode can be accurately obtained based on the keywords in the rental information and compared with the dynamic features in the video features to evaluate whether the dynamics of the playback content meet the rental requirements.

[0042] The matching of text features is slightly different from the above two features. In a preferred embodiment, the above step S301, based on the word frequency of the keyword represented by the text word frequency matrix, calculates the first matching score, specifically including: Get the word vector of each word in the text word frequency matrix; Taking the frequency of each word as the weight, multiple word vectors are weighted averaged to obtain the word frequency feature vector; Get the word vector of the keyword; Calculate the dot product of the keyword's word vector and the word frequency feature vector to get the first matching score.

[0043] In the above process, by obtaining the word vector of each word in the text word frequency matrix, the semantic information of each word can be accurately represented. The word vector can be obtained by using the TF-IDF vector mentioned above, or by using other word embedding models. The word frequency of each word is used as the weight, and the word frequency feature vector is obtained by weighted average of multiple word vectors, which can highlight the semantic contribution of key words in the text. On the premise that the word vector can correctly represent the semantic information of the word, the dot product of the word vector of the keyword and the word frequency feature vector is calculated to obtain the first matching score, which can quantify the degree of semantic matching between the keyword and the text feature, and obtain an objective and accurate first matching score. This method can fully consider the semantic information of the word and its importance in the text, avoid the errors that may be caused by simple matching based on the surface form of the word, and improve the accuracy and reliability of text feature matching, thereby providing more powerful support for the entire security verification process.

[0044] Furthermore, in a preferred embodiment, the above step S305, obtaining a preset proportional weight of each video feature, specifically includes: According to the number of non-zero elements in the text word frequency matrix, the text scale eigenvalue is obtained; If the scale characteristic value of this article exceeds the preset scale threshold, the first proportion is obtained as the preset proportion weight; If the scale characteristic value of this article does not exceed the preset scale threshold, the second proportion is obtained as the preset proportion weight; Among them, the proportion corresponding to the text features in the first ratio is higher than that in the second ratio.

[0045] It is understandable that in practice, LED screens do not display text in all scenarios. Therefore, this embodiment analyzes the word frequency matrix, determines the scale of the text displayed by the LED through the text scale feature value, and then dynamically adjusts the weight of the text feature in security verification based on the text scale to improve the scientific rationality of the verification. For example, when the text word frequency matrix is ​​relatively sparse, it indicates that the LED screen displays fewer texts, and the text scale feature value is naturally lower. At this time, when performing security verification, it is natural to reduce the weight corresponding to the text feature to reduce its impact.

[0046] Further, in a preferred embodiment, the above step S106, performing a security response according to the matching score, specifically includes: Determine the security risk level based on the matching score; If the security risk level is medium risk, a screen control lock command is sent to the target display screen through the LoRa channel; If the security risk level is high, a signal to activate the physical fuse circuit is sent to the target display screen and a positioning alarm is triggered.

[0047] It is understandable that, in practice, other corresponding methods may also be adopted according to specific circumstances.

[0048] Combination Figure 4 As shown, the present invention also provides a security verification system for LED display screen leasing, including a recording module 410 and a verification module 420, wherein the recording module is located in the target display screen for leasing, and is used for: Obtain the playback content of the target display screen and establish video features based on the playback content; Encrypt the video features to obtain feature data; Authentication module for: Obtaining the rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; Acquire feature data, and decrypt the feature data to obtain video features; Match the rental information and video features to obtain a content matching score; Perform security response based on the match score.

[0049] It should be noted here that the corresponding system provided in the above embodiments can implement the technical solutions described in the above method embodiments. The specific implementation principles of the above modules or units can be found in the corresponding contents in the above method embodiments, which will not be repeated here.

[0050] The present invention provides a security verification method and system for LED display screen rental, which first obtains the playback content of the target display screen, establishes video features according to the playback content, and then encrypts the video features to obtain feature data. Then, the rental information of the target display screen is obtained, the rental information includes information describing the playback content of the target display screen, the feature data is obtained, and the feature data is decrypted to obtain the video features, the rental information and the video features are matched to obtain the content matching score, and finally a security response is made according to the matching score. Compared with the existing security verification method, the present invention extracts features of the playback content of the target display screen and encrypts and records them, so that the video features and the rental information can be matched, that is, by verifying the consistency between the playback content of the display screen and the pre-registered rental information, security verification can be achieved, and timely response can be made when the device is detected to be stolen and transferred, without the need for relevant personnel to frequently perform identity verification, which greatly improves the convenience of security verification, improves work efficiency, and solves the problem that the LED display screen security verification is too cumbersome in the prior art.

[0051] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0052] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A security verification method for LED display screen rental, characterized in that: include: Obtain the playback content of the target display screen and establish video features based on the playback content; Encrypt the video features to obtain feature data; Obtaining the rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; Acquire feature data, and decrypt the feature data to obtain video features; Match the rental information and video features to obtain a content matching score; Perform security response based on the match score.

2. The security verification system for LED display screen rental according to claim 1 is characterized in that: Video features include text features, color features, and dynamic features; Get the content played on the target display and create video features based on the content played, including: Get the video stream of the playback content; Extract text from the video stream and obtain text features based on the text content; Extract color features from the video stream to obtain color features; The differences between adjacent image frames in the video stream are counted, and dynamic features are obtained based on the differences between adjacent image frames.

3. The security verification system for LED display screen rental according to claim 2 is characterized in that: Extract text from the video stream and obtain text features based on the text content, including: Perform OCR blur processing on all image frames in the video stream to obtain text data; The word frequency of text data is counted based on the TF-IDF vectorization algorithm, and the text word frequency matrix is ​​obtained as the text feature.

4. The security verification system for LED display screen rental according to claim 3 is characterized in that: Extract color features from the video stream to obtain color features, including: Get the image frame in the video and convert it to HSV color space; The image frame in the converted color space is compressed by color gamut quantization, and the pixel ratio of each quantization interval is counted to generate a color histogram as a color feature.

5. The security verification system for LED display screen rental according to claim 4 is characterized in that: The differences between adjacent image frames in the video stream are counted, and dynamic features are obtained based on the differences between adjacent image frames, including: Count the differences between adjacent image frames in the video stream to obtain the difference rate of each pair of adjacent image frames; Recording a plurality of image frames whose difference rate is less than a preset difference threshold and are continuous as one event; According to the timing characteristics of each event in the video stream, the dynamic features are obtained.

6. The security verification system for LED display screen rental according to claim 5 is characterized in that: The rental information includes keywords; the rental information and video features are matched to obtain a content matching score, including: Calculate a first matching score based on the word frequency of the keyword represented by the text word frequency matrix; Get the preset color mode and preset dynamic mode corresponding to the keyword; Matching the preset color mode and the color feature to obtain a second matching score; Matching the preset dynamic pattern and the dynamic feature to obtain a third matching score; Get the preset weight ratio of each video feature; The first matching score, the second matching score and the third matching score are weighted and summed based on a preset weight ratio to obtain a content matching score.

7. The security verification system for LED display screen rental according to claim 6 is characterized in that: Based on the word frequency of the keyword represented by the text word frequency matrix, the first matching score is calculated, including: Get the word vector of each word in the text word frequency matrix; Taking the frequency of each word as the weight, multiple word vectors are weighted averaged to obtain the word frequency feature vector; Get the word vector of the keyword; Calculate the dot product of the keyword's word vector and the word frequency feature vector to get the first matching score.

8. The security verification system for LED display screen rental according to claim 6 is characterized in that: Get the preset weights for each video feature, including: According to the number of non-zero elements in the text word frequency matrix, the text scale eigenvalue is obtained; If the scale characteristic value of the article exceeds the preset scale threshold, the first proportion is obtained as the preset proportion weight; If the scale characteristic value of this article does not exceed the preset scale threshold, the second proportion is obtained as the preset proportion weight; Among them, the proportion corresponding to the text features in the first ratio is higher than that in the second ratio.

9. The security verification system for LED display screen rental according to claim 1 is characterized in that: Security responses based on match scores include: Determine the security risk level based on the matching score; If the security risk level is medium risk, a screen control lock command is sent to the target display screen through the LoRa channel; If the security risk level is high, a signal to activate the physical fuse circuit is sent to the target display screen and a positioning alarm is triggered.

10. A security verification system for LED display screen rental, characterized in that: It includes a recording module and a verification module, wherein the recording module is located in the rented target display screen and is used for: Obtain the playback content of the target display screen and establish video features based on the playback content; Encrypt the video features to obtain feature data; Authentication module, used to: Obtaining the rental information of the target display screen, where the rental information includes information describing the playback content of the target display screen; Acquire feature data, and decrypt the feature data to obtain video features; Match the rental information and video features to obtain a content matching score; Perform security response based on the match score.

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