Intelligent lottery ticket analysis system based on multispectral imaging and block chain anti-counterfeiting

Abstract

The invention discloses an intelligent lottery ticket analysis system based on multispectral imaging and block chain anti-counterfeiting, and relates to the technical field of lottery ticket recognition and anti-counterfeiting. The system comprises a lottery ticket scanning module, a deep learning recognition unit, a block chain authentication module, a user data analysis module and a cloud synchronization module. And the lottery scanning module adopts hyperspectral imaging and structured light scanning, so that the face recognition accuracy is improved. And the deep learning unit is combined with self-supervised learning to enhance the adaptability of different ticket faces. And the block chain module stores the lottery hash value and prevents tampering and repeated prize claiming by using zero-knowledge proof. And the data analysis module mines a lottery buying mode and optimizes a sales strategy. And cloud synchronization supports cross-device prize claiming. The method improves the recognition precision and safety, and is suitable for a self-service terminal and online prize claiming.

Description

Technical Field

[0001] The present invention relates to the technical field of lottery ticket recognition and data processing, and particularly to an intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting. Background Art

[0002] In existing intelligent lottery ticket analysis systems, the recognition of winning tickets mainly relies on OCR (Optical Character Recognition) technology, QR code scanning, or barcode matching. However, OCR recognition is limited by the clarity of the ticket surface, lighting conditions, and damage, and is prone to misjudgment or missed judgment. In addition, although the QR code or barcode scheme can provide a high recognition rate, there are security risks of being easily copied or tampered with, increasing the possibility of counterfeit lottery tickets. Therefore, there is still much room for improvement in the accuracy and security of current technologies.

[0003] In addition, existing systems often only optimize for specific formats of lottery tickets. Whenever a new ticket type is launched, it is often necessary to retrain the recognition model or adjust the matching algorithm, resulting in high maintenance costs. At the same time, different lottery ticket surfaces may use different anti-counterfeiting measures, such as fluorescent ink, watermarks, microtext, etc., but existing recognition systems usually only rely on single visible light scanning and cannot effectively detect these anti-counterfeiting features, resulting in weak anti-counterfeiting capabilities. Therefore, how to improve the adaptability of the recognition system to various ticket surfaces while enhancing the anti-counterfeiting verification ability is an urgent problem to be solved in current technologies.

[0004] Existing intelligent lottery ticket analysis systems are mainly used to identify winning information and do not fully explore the lottery purchase behavior data of users, lacking in-depth analysis of aspects such as user preferences, ticket purchase habits, and popular gameplay. This limitation not only affects the optimization of lottery sales strategies but also cannot provide personalized recommendations and value-added services for users. Therefore, a new type of intelligent lottery ticket analysis system that can combine high-precision recognition, anti-counterfeiting verification, and data analysis is needed to improve the accuracy, security, and intelligence level of recognition.

[0005] In view of this, the inventor of the present case specifically designed an intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting, and this case was thus generated. Summary of the Invention

[0006] (I) Technical Problems to be Solved The purpose of this application is to provide an intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting, which solves at least the problems of low recognition accuracy, insufficient anti-counterfeiting ability, inability to adapt to various ticket surface formats, and lack of in-depth data analysis ability in existing intelligent lottery ticket analysis systems.

[0007] (II) Technical Solutions To solve the above technical problems, the present invention provides the following technical solutions: The present application provides an intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting, which is characterized by including: Lottery ticket scanning module: used to obtain the multispectral image and structured light scanning data of the lottery ticket surface to identify the ticket surface information and extract anti-counterfeiting features; Deep learning recognition unit: used to perform intelligent recognition of lottery numbers and winning information based on the obtained multispectral image and structured light data by using a self-supervised learning model; Blockchain anti-tampering authentication module: used to encrypt and store lottery information, and calculate the lottery hash value during redemption and match it with the information stored in the blockchain for verification; User behavior data analysis module: used to construct a user behavior model based on user ticket purchase and redemption behavior data, and provide ticket purchase pattern analysis and personalized recommendations; Remote cloud synchronization module: used to synchronize lottery recognition data, security verification information, and user behavior analysis results to the cloud to support multi-device redemption and data sharing.

[0008] In a further solution, the lottery ticket scanning module includes a hyperspectral imaging unit and a structured light sensor, wherein the hyperspectral imaging unit is used to capture ultraviolet, visible, and infrared images of the ticket surface to extract anti-counterfeiting features such as invisible ink and watermarks.

[0009] In a further solution, the deep learning recognition unit adopts a model combining Transformer and CNN (Convolutional Neural Network) to improve the recognition accuracy under complex ticket surface backgrounds and adapt to different types of lottery ticket surfaces through a self-supervised learning mechanism.

[0010] In a further solution, the blockchain anti-tampering authentication module adopts zero-knowledge proof (ZKP) to verify the authenticity of the lottery ticket without exposing the complete ticket surface information.

[0011] In a further solution, the user behavior data analysis module performs clustering analysis on data such as ticket purchase time, location, and gameplay type based on machine learning algorithms to provide market hot-selling trend prediction and user lottery purchase preference analysis.

[0012] In a further solution, the remote cloud synchronization module supports cross-platform data interaction, enabling users to redeem prizes through self-service terminals, mobile devices, or manual counters, and synchronously updating the lottery status.

[0013] In a further solution, the lottery ticket scanning module includes a damaged ticket surface enhancement processing unit, and the ticket surface enhancement processing unit repairs damaged or blurred lottery ticket surfaces based on image denoising algorithms and deep learning repair models to improve the recognition accuracy.

[0014] In a further solution, the blockchain anti-tampering authentication module further includes an anti-duplicate redemption mechanism, which prevents the same lottery ticket from being redeemed multiple times by comparing the redemption record database.

[0015] In a further solution, the lottery ticket scanning module further includes an RFID (Radio Frequency Identification) reading unit to support rapid identity verification of lottery tickets with RFID anti-counterfeiting labels.

[0016] (III) Beneficial effects The present invention has the following beneficial effects compared with the prior art: By combining multi-spectral imaging and structured light scanning, the recognition accuracy under soiled, reflective or complex backgrounds is improved, overcoming the defect that traditional OCR is greatly affected by illumination and soiling; adopting the Transformer+CNN deep learning architecture and combining self-supervised learning enables the system to automatically adapt to different ticket formats without frequent manual adjustment, reducing the maintenance cost; introducing blockchain evidence storage and zero-knowledge proof technology ensures that lottery information cannot be tampered with and prevents duplicate redemption, with higher security compared to traditional anti-counterfeiting methods that rely on two-dimensional codes or barcodes; at the same time, the system integrates user data analysis functions, provides personalized recommendations based on lottery purchase behavior, and supports cross-device redemption through cloud synchronization, enhancing the user experience and market optimization ability. Therefore, the present invention is superior to existing solutions in terms of recognition accuracy, anti-counterfeiting security, system scalability and intelligent analysis ability, and is suitable for the intelligent development needs of the lottery industry.

[0017] The following further describes in detail the specific embodiments of the present invention. Specific embodiments

[0018] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and more understandable, the following embodiments further elaborate on the present invention. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] The present invention provides an intelligent lottery ticket analysis system based on multi-spectral imaging and blockchain anti-counterfeiting, which can efficiently and accurately identify lottery ticket surface information, enhance anti-counterfeiting verification capabilities, and improve the user experience and market optimization ability through data analysis. Compared with the prior art, the present invention combines multi-spectral imaging and structured light scanning to improve the accuracy of lottery ticket recognition, and uses blockchain technology to prevent lottery ticket tampering and duplicate redemption. In addition, the application of deep learning technology enables the system to adapt to different ticket formats, improve generalization ability, and realize intelligent lottery management by combining cloud data analysis.

[0020] The intelligent lottery ticket analysis system of the present invention includes the following main modules: Lottery Scanning Module: Used to obtain high-precision data of the lottery ticket surface, including hyperspectral imaging data and structured light scanning data.

[0021] Deep Learning Recognition Unit: Used to intelligently recognize the information on the lottery ticket surface and adopt a self-supervised learning model to adapt to different lottery ticket surface formats.

[0022] Blockchain Tamper-Proof Authentication Module: Used to store and verify lottery information to prevent tampering and duplicate redemption.

[0023] User Behavior Data Analysis Module: Used to analyze users' ticket purchase and redemption behaviors, providing lottery purchase pattern prediction and personalized recommendations.

[0024] Remote Cloud Synchronization Module: Used to synchronize lottery recognition data and analysis results, enabling multi-device redemption and data sharing.

[0025] The lottery scanning module adopts a hyperspectral imaging unit and a structured light sensor to provide more comprehensive lottery ticket surface information. The hyperspectral imaging unit can obtain information in the ultraviolet, visible, and infrared bands, enabling the system to identify special anti-counterfeiting marks such as invisible ink, watermarks, and photochromic ink. The structured light sensor is used to capture the microscopic texture features of the lottery ticket surface to detect the paper fiber structure and prevent the use of counterfeit lottery tickets. Compared with traditional OCR scanning, the present invention can still maintain a high recognition rate under low light, damaged ticket surfaces, and complex background conditions.

[0026] In addition, the lottery scanning module also includes a damaged ticket surface enhancement processing unit, which adopts image denoising and a deep learning repair model to automatically repair lottery ticket surfaces affected by damage, folding, or stains, improving the recognition accuracy. At the same time, to support new anti-counterfeiting tickets, the lottery scanning module can also integrate an RFID reading unit for quickly verifying the information of lottery tickets with RFID anti-counterfeiting tags.

[0027] The deep learning recognition unit of the present invention adopts a Transformer+CNN (Convolutional Neural Network) combined model, which improves the parsing ability of lottery ticket surface information through multi-layer feature extraction and a global attention mechanism. Different from traditional OCR methods, the present invention adopts a self-supervised learning mechanism, enabling the system to automatically learn new lottery ticket surface formats under low sample data, avoiding the problem of requiring manual data annotation and retraining the model every time the ticket surface changes. In addition, the system can optimize the recognition process through reinforcement learning, reducing the misjudgment rate and improving the stability of recognition.

[0028] To improve the security of lottery redemption, the present invention introduces a blockchain anti-tampering authentication module. When a lottery ticket is issued, the system generates a unique hash value for each lottery ticket and stores the hash value in the blockchain. When a user redeems a lottery ticket, the system recalculates the hash value of the lottery ticket and compares it with the record in the blockchain to verify the authenticity of the lottery ticket.

[0029] In addition, this module also adopts zero-knowledge proof (ZKP) technology, enabling the lottery ticket to complete security verification without exposing the complete ticket information, thus enhancing the user privacy protection ability. Meanwhile, the system also has an anti-duplicate redemption mechanism. By comparing historical redemption records, it prevents the same lottery ticket from being redeemed multiple times, improving the security of redemption.

[0030] The user behavior data analysis module of the present invention utilizes machine learning algorithms to analyze ticket purchase and redemption data and provides the following functions: Lottery purchase pattern analysis: Based on data such as the user's ticket purchase time, location, and gameplay type, it predicts the user's lottery purchase preferences and provides personalized recommendations for the user.

[0031] Market hot-selling trend prediction: Through big data analysis, it helps lottery operators optimize sales strategies and improve the promotion efficiency of popular gameplay.

[0032] Cross-platform data analysis: Combining federated learning technology, it analyzes lottery purchase data from different channels while ensuring user privacy, and optimizes the overall sales strategy.

[0033] The remote cloud synchronization module of the present invention supports data interaction between multiple devices (such as self-service terminals, mobile apps, manual counters, etc.). Users can redeem lottery tickets across devices. Even if the lottery ticket is lost, they can retrieve the lottery ticket information through the cloud record to avoid financial losses. In addition, this module can synchronize the lottery ticket status in real time, making the redemption process more transparent and efficient.

[0034] The advantages of the present invention are as follows.

[0035] High-precision lottery ticket recognition: Combining multi-spectral imaging, structured light scanning, and deep learning, it improves the accuracy of lottery ticket recognition and can still efficiently recognize even in the case of damage or complex background.

[0036] Strong anti-counterfeiting ability: Using the blockchain to store the lottery ticket hash value and combining zero-knowledge proof technology, it prevents lottery ticket tampering and duplicate redemption, improving security.

[0037] Intelligent data analysis: Based on in-depth analysis of user ticket purchase behavior and market trends, it optimizes lottery sales strategies and provides personalized recommendation services.

[0038] Cross-device redemption support: The cloud synchronization function supports users to complete redemption on different devices, improving convenience and reducing the risk of lottery ticket loss.

[0039] High adaptability: By using self-supervised learning and reinforcement learning technologies, the system can automatically adapt to different types of lottery ticket formats, reducing the manual maintenance cost.

[0040] In summary, the present invention provides a safe, efficient, and intelligent lottery analysis system, which can effectively improve the accuracy of lottery recognition, enhance the anti-counterfeiting ability, and optimize lottery sales and user experience through big data analysis. Compared with the prior art, the present invention has significantly improved in terms of recognition accuracy, anti-counterfeiting ability, data analysis ability, and user experience, and is applicable to large-scale lottery operation scenarios.

[0041] The above is an exemplary description of the present invention. Obviously, the specific implementation of the present invention is not limited by the above methods. As long as various non-substantive improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. An intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting, characterized in that: include: Lottery scanning module: used to obtain multispectral images and structured light scanning data of lottery tickets to identify ticket information and extract anti-counterfeiting features; Deep learning recognition unit: used to intelligently recognize lottery numbers and winning information using a self-supervised learning model based on the acquired multispectral images and structured light data; Blockchain anti-tampering authentication module: used to encrypt and store lottery information, and calculate the lottery hash value and match it with the blockchain storage information when redeeming the prize; User behavior data analysis module: used to build user behavior models based on user ticket purchase and prize redemption behavior data, and provide ticket purchase mode analysis and personalized recommendations; Remote cloud synchronization module: used to synchronize lottery identification data, security verification information and user behavior analysis results to the cloud to support multi-device prize redemption and data sharing.

2. According to claim 1, the intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting is characterized in that: The lottery scanning module includes a hyperspectral imaging unit and a structured light sensor, wherein the hyperspectral imaging unit is used to capture ultraviolet, visible light and infrared images of the ticket surface to extract invisible ink and watermark anti-counterfeiting features.

3. According to claim 2, the intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting is characterized in that: The deep learning recognition unit adopts a model combining Transformer and CNN (convolutional neural network) to improve the recognition accuracy under complex ticket backgrounds and adapt to different types of lottery tickets through a self-supervised learning mechanism.

4. According to claim 1, the intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting is characterized by: The blockchain tamper-proof authentication module adopts zero-knowledge proof (ZKP) to verify the authenticity of the lottery without exposing the complete ticket information.

5. According to claim 1, the intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting is characterized in that: The user behavior data analysis module performs cluster analysis on data such as ticket purchase time, location, and play type based on a machine learning algorithm to provide market hot sales trend forecasts and user purchase preference analysis.

6. The intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting according to claim 1 is characterized in that: The remote cloud synchronization module supports cross-platform data interaction, allowing users to redeem prizes through self-service terminals, mobile devices or manual counters, and synchronously update lottery status.

7. The intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting according to claim 1 is characterized in that: The lottery ticket scanning module includes a damaged ticket enhancement processing unit, which repairs the damaged or blurred lottery ticket surface based on an image denoising algorithm and a deep learning repair model to improve recognition accuracy.

8. The intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting according to claim 4 is characterized in that The blockchain anti-tampering authentication module also includes an anti-duplicate prize redemption mechanism, which prevents the same lottery ticket from being redeemed multiple times by comparing the prize redemption record database.

9. The intelligent lottery ticket analysis system based on multispectral imaging and blockchain anti-counterfeiting according to claim 2 is characterized in that ,The lottery ticket scanning module also includes an RFID (Radio Frequency Identification) reading unit to support ,rapid identity authentication of lottery tickets with RFID anti-counterfeiting tags.