A method for predicting user information based on express delivery bills

Abstract

The present invention relates to a method for predicting user information based on an express delivery bill, the method comprising scanning the express delivery bill based on an image scanning device, and processing the scanned image with an advanced image recognition algorithm to obtain bill information; establishing a user index library for storing the correspondence between the MD5 value of the user information and the actual user; extracting a unique identifier on the bill, such as a package code, by processing the scanned bill information; and then associating the unique identifier with the corresponding MD5 value through the user index library to identify the actual user; the present invention has obvious advantages over the best existing technologies in terms of improving recognition accuracy, accelerating user identity association, realizing user behavior prediction and information security.

Description

Technical Field

[0001] The present invention relates to the field of express delivery, and in particular to a method for predicting user information based on an express delivery bill. Background Art

[0002] With the rapid development of e-commerce and logistics industries, the processing and delivery of express parcels has become an indispensable part of daily life. However, in the traditional express delivery system, there are still some challenges in the processing of express delivery bills, especially in accurately identifying user identities and realizing user behavior prediction.

[0003] In traditional express delivery processing systems, due to the lack of efficient user identity association methods, it is difficult to accurately predict user behavior, such as pickup, rejection, or other related operations, based on the information on the express delivery bill.

[0004] In the prior art, there are some attempts to solve the user identity association problem in express delivery bill processing through image recognition, data matching and other methods. However, these methods generally have problems such as low accuracy, long time consumption and insufficient large-scale data processing. In addition, the user identity recognition and association process in traditional systems usually requires complex manual intervention, resulting in low efficiency, high cost, and certain privacy risks. Therefore, a more efficient, accurate and user information prediction solution is needed to improve the overall performance of the express delivery processing system. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention aims to provide a method for predicting user information based on the express delivery bill, so as to solve the problems of low recognition accuracy, low efficiency of user identity association, and inability to predict user information in the prior art. By combining advanced algorithms and data indexing technology, the present invention aims to improve the accuracy of association between express parcels and user information, realize efficient and intelligent user information prediction behavior, and thus improve the performance and service level of the overall express processing system.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for predicting user information based on an express delivery bill, the method comprising the following steps:

[0008] The express delivery bill is scanned based on the image scanning device, and the scanned image is processed using an advanced image recognition algorithm to obtain the bill information; the algorithm can effectively handle uneven lighting, font changes, stains, etc.

[0009] Establish a user index library to store the correspondence between the MD5 value of user information and the actual user. The index library uses inverted index technology combined with algorithms such as BM25, DFI and IB to complete user retrieval and fingerprint matching in a short time.

[0010] By processing the scanned delivery note information, the unique identifier on the delivery note, such as the package code, is extracted; then, through the user index library, the unique identifier is associated with the corresponding MD5 value to identify the actual user.

[0011] As a further technical solution of the present invention, the user information index library only stores the MD5 value of the user information instead of the real user information, thereby ensuring the security of the user information; at the same time, an information summary algorithm is used to encrypt the index library, thereby enhancing the security of the information.

[0012] As a further technical solution of the present invention, the advanced image recognition algorithm adopts the YOLOv5 deep learning algorithm combined with PaddleOCR to design a joint model, integrates traditional features and deep learning features, establishes a comprehensive feature representation, and utilizes the pooling layer and multi-level convolution in the deep learning method to obtain features from different levels of different sizes and shapes of Chinese characters, numbers and English characters in the image, thereby realizing the recognition of express delivery label information.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] To improve recognition accuracy, the present invention adopts advanced algorithms and image recognition technology, which can effectively cope with the influence of factors such as light, fonts, stains, etc., improve the recognition accuracy of express delivery bill information, reduce bit error rate, and enhance the stability and reliability of the system.

[0015] Efficient user identity association, by introducing a user information index library, the present invention realizes rapid retrieval and association of user information, greatly improves the efficiency of user identity association, reduces the need for manual intervention, and makes the entire processing process more intelligent and efficient.

[0016] To achieve user information prediction behavior, the present invention uses in-depth analysis of user information and combines it with advanced prediction algorithms to achieve accurate prediction of users. This enables the system to respond to user needs more proactively, make predictions in advance, and improve the intelligence level of the system.

[0017] The information security is strong. The user information index library uses the unique identification of MD5 value and does not store the user's real information, which ensures the security of user privacy. The construction of fingerprint library is constantly expanding, making information security more controllable and reliable.

[0018] In summary, the present invention has obvious advantages over the best existing technologies in terms of improving recognition accuracy, accelerating user identity association, realizing user behavior prediction and information security. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a flowchart of a method for predicting user information based on express delivery bills. DETAILED DESCRIPTION

[0020] The technical solution of this patent is further described in detail below in conjunction with specific implementation methods.

[0021] See also Figure 1 As an embodiment of the present invention, a method for predicting user information based on an express delivery bill is provided, the method comprising the following steps:

[0022] Step S100, scanning the express delivery bill based on an image scanning device, and processing the scanned image using an advanced image recognition algorithm to obtain bill information; the algorithm can effectively handle uneven lighting, font changes, stains, etc.;

[0023] Step S200, establishing a user index library for storing the correspondence between the MD5 value of user information and the actual user. The index library uses inverted index technology combined with algorithms such as BM25, DFI and IB to complete user retrieval in a short time;

[0024] Step S300, by processing the scanned delivery note information, a unique identifier on the delivery note, such as a package code, is extracted; then, through the user index library, the unique identifier is associated with the corresponding MD5 value to identify the actual user.

[0025] In this embodiment, the user information index library only stores the MD5 value of the user information, but not the real user information, thereby ensuring the security of the user information; at the same time, an encryption algorithm (information digest algorithm) is used to encrypt the index library, thereby enhancing the security of the information.

[0026] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

[0027] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for predicting user information based on an express delivery bill, characterized in that: The method comprises the following steps: The express delivery bill is scanned based on an image scanning device, and the scanned image is processed using an advanced image recognition algorithm to obtain the delivery bill information; Establish a user index library to store the correspondence between the MD5 value of user information and the actual user. The index library uses inverted index technology combined with BM25, DFI and IB algorithms; By processing the scanned delivery note information, a unique identifier on the delivery note is extracted, wherein the unique identifier includes the package code; then, through the user index library, the unique identifier is associated with the corresponding MD5 value to identify the actual user; The advanced image recognition algorithm uses the YOLOv5 deep learning algorithm combined with PaddleOCR to design a joint model, which integrates traditional features and deep learning features to establish a comprehensive feature representation. It uses the pooling layer and multi-level convolution in the deep learning method to obtain features from different levels of different sizes and shapes of Chinese characters, numbers and English characters in the image, thereby realizing the recognition of express delivery information. The user information index library only stores the MD5 value of the user information, but not the real user information, which ensures the security of the user information. At the same time, the information digest algorithm is used to encrypt the index library to enhance the security of the information.

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