Vehicle end parking payment method, system and device and storage medium

By using image data collection around vehicles and QR code recognition for automatic payment, the problem of payment difficulties in parking lots that do not support ETC or have not been linked to license plates has been solved, achieving a seamless payment process and improving parking lot traffic efficiency and user experience.

CN120894844APending Publication Date: 2025-11-04ZHEJIANG SMART INTELLIGENCE TECH CO LTD
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Patent Information

Application Number
CN202510775562.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2025-11-04

AI Technical Summary

Technical Problem

In cases where ETC is not supported or the vehicle is not linked to a license plate, the parking payment process is cumbersome, resulting in low traffic efficiency.

Method used

By collecting real-time image data around the vehicle, the gate recognition model is used to compare and extract the QR code to obtain payment data. After passing security authentication, the payment is automatically completed, integrating image recognition technology, multi-sensor collaboration, and data encryption verification.

Benefits of technology

It enables a seamless payment process, reduces waiting time at parking lot entrances and exits, improves the parking experience for drivers, and allows for quick payment even when ETC is not supported or license plates are not linked, thus improving parking lot traffic efficiency.

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Abstract

The invention belongs to the technical field of vehicles, and particularly relates to a vehicle end parking payment method, system and device and a storage medium, and the vehicle end parking payment method comprises the steps: collecting the real-time image data of the periphery of a target vehicle in the moving process, and transmitting the real-time image data to a gate recognition model for comparison; if it is judged that the real-time image data is successfully compared with the gate, extracting a two-dimensional code in the real-time image; payment data are obtained on the basis of scanning the two-dimensional code, and feature data in the payment data are extracted; if it is judged that the feature data are consistent with the set data of the target vehicle, a security authentication signal is sent to the interaction end; and paying the parking lot in response to a safety authentication confirmation signal sent by the interaction end.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle-end parking fee payment method, system, device and storage medium. BACKGROUND

[0002] With the advancement of technology, it is more and more convenient to use vehicles. For example, some parking lots are bound with ETC, which can realize non-stop parking fee payment. Some commonly used parking lots are bound with vehicle-end devices, and registered accounts can also realize non-stop parking fee payment. In addition, drivers can also pay for parking on a monthly basis, so there is basically no need to pay for parking.

[0003] However, if the parking lot fee does not support ETC or there is no ETC device on the vehicle, and the vehicle number is not bound, it is very inconvenient to go to different parking lots and pay by scanning the code with a mobile phone every time, which leads to exit congestion and reduces traffic efficiency. SUMMARY

[0004] In order to solve the above problems in the prior art, the present application provides a vehicle-end parking fee payment method, system, device and storage medium.

[0005] The first aspect of the present application provides a vehicle-end parking fee payment method, comprising: collecting real-time image data around a target vehicle during movement, and transmitting the real-time image data to a gate recognition model for comparison; if the real-time image data and the gate comparison are successful, extracting a two-dimensional code in the real-time image; obtaining payment data based on scanning the two-dimensional code, and extracting feature data in the payment data; if the feature data is consistent with the set data of the target vehicle, sending a security authentication signal to an interactive terminal; responding to the confirmation of the security authentication signal sent by the interactive terminal, paying for parking at the parking lot.

[0006] In an embodiment, the gate recognition model comprises: a data acquisition module for acquiring sample data of gates in a parking lot, the sample data including different types of gates, gates at different times, and gate images at multiple angles and in multiple scenes; a data processing and labeling module for processing and labeling the obtained sample data, wherein the labeling types include "gate static", "gate dynamic" and "non-gate" labels; a data enhancement module for performing image enhancement operations on the labeled gate data, the enhancement operations including light adjustment, rotation, mirror flipping, blur processing and noise injection to improve the robustness of the model to complex environments; The deep learning model training module is configured to train the processed gate data by using a deep learning model based on target detection, wherein the training task includes a classification task and a positioning task, and a classification loss and a bounding box regression loss are set; The dynamic optimization module is configured to improve the model capability by using a feature pyramid network and enhance the generalization performance of the model by using a domain adaptation technology for the small target feature loss problem of the parking lot.

[0007] In an embodiment, the deep learning model is a YOLO target detection framework, which supports real-time identification of gate objects in various forms in the parking lot.

[0008] In an embodiment, the payment data includes license plate information, parking time, parking fee, and parking location of the vehicle to be paid.

[0009] In an embodiment, the feature data is the license plate information of the vehicle to be paid, and the setting data is the license plate information of the target vehicle.

[0010] In an embodiment, the interaction terminal includes a central control display arranged on the target vehicle.

[0011] In an embodiment, the authentication signal includes a payment pop-up window displayed on the interaction terminal, and the payment pop-up window is provided with a confirmation and cancellation selection box for the in-vehicle personnel to select according to the actual situation.

[0012] The second aspect of the present application provides a vehicle-end parking fee payment system, comprising: The acquisition and comparison unit is configured to acquire real-time image data around the target vehicle during movement, and transmit the real-time image data to a gate recognition model for comparison; The judgment and extraction unit is configured to judge whether the real-time image data and the gate comparison are successful, and then extract the two-dimensional code in the real-time image; The acquisition and extraction unit is configured to obtain payment data based on scanning the two-dimensional code, and extract feature data in the payment data; The judgment and authentication unit is configured to judge whether the feature data is consistent with the setting data of the target vehicle, and then send a security authentication signal to the interaction terminal; The response payment unit is configured to respond to the confirmation security authentication signal sent by the interaction terminal and pay the parking fee.

[0013] The third aspect of the present application provides an electronic device, comprising a memory for storing instructions executed by one or more processors of the electronic device, and a processor which is one of the processors of the electronic device and is configured to perform the vehicle-end parking fee payment method.

[0014] The fourth aspect of the present application provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and the computer execution instructions are used to realize the vehicle-side parking fee payment method when executed by a processor.

[0015] The present application has the following beneficial effects over the prior art: The seamless connection from image acquisition to payment completion is realized, and the user can complete the payment without getting off the vehicle or manual operation, thereby reducing the waiting time at the parking lot entrance and improving the parking experience of the driver. The payment can be completed quickly to improve the traffic efficiency of the parking lot under the premise that the parking lot charging does not support ETC or there is no ETC device on the vehicle, and the vehicle license plate is not bound for the first time. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0017] Figure 1 According to the embodiments of the present application, a flowchart of a vehicle-side parking fee payment method is shown.

[0018] Figure 2 According to the embodiments of the present application, a structural diagram of a vehicle-side parking fee payment system is shown.

[0019] Figure 3 According to the embodiments of the present application, a structural diagram of an electronic device is shown.

[0020] Figure 4 According to the embodiments of the present application, a structural diagram of a computer readable storage medium is shown. DETAILED DESCRIPTION

[0021] The embodiments of the present application are described below through specific and concrete examples, and those skilled in the art can easily understand other advantages and effects of the present application from the disclosed content. The present application can also be implemented or applied to different systems through different specific embodiments, and the details in the present application can be modified or changed according to different views and application systems without departing from the spirit of the present application. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0022] The embodiments of the present application will be described below with reference to the accompanying drawings, so that those skilled in the art to which the present application pertains can easily practice the present application. The present application can be embodied in various ways, and is not limited to the embodiments described herein.

[0023] In the description of the present application, the expressions "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. mean that the specific features, structures, materials or characteristics represented in connection with the embodiment or example are included in at least one embodiment or example of the present application. Also, the specific features, structures, materials or characteristics represented can be combined in an appropriate manner in any one or more embodiments or examples. In addition, the different embodiments or examples represented in the present application and the features of the different embodiments or examples can be combined and integrated by those skilled in the art without contradiction, if necessary.

[0024] In addition, the terms "first", "second" are used only for the purpose of explanation, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Thus, the features defined with "first", "second" can include at least one of the features, explicitly or implicitly. In the description of the present application, the meaning of "a plurality of" is two or more, unless specifically limited otherwise.

[0025] In order to clearly explain the present application, the devices irrelevant to the description are omitted, and the same reference numerals are given to the same or similar constituent elements throughout the specification.

[0026] In the entire specification, when it is said that a device is "connected" to another device, it includes not only the case of "direct connection", but also the case of "indirect connection" in which other elements are interposed therebetween. In addition, when it is said that a device "includes" a certain constituent element, unless specifically stated to the contrary, other constituent elements are not excluded, but it means that other constituent elements can be further included.

[0027] When it is said that a device is "on" another device, it can be directly on the other device, but can also be accompanied by other devices therebetween. When it is said that a device is "directly" on another device, there are no other devices therebetween.

[0028] Although the terms first, second, etc. can be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first interface and a second interface, etc. are distinguished from each other. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises", "comprising", "includes" and / or "including", when used herein, specify the presence of stated features, steps, operations, elements, components, items, and / or groups thereof, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, items, and / or groups thereof. As used herein, the terms "or" and "and / or" are to be interpreted as inclusive, i.e., as meaning either item by itself or any combination of items. Thus "A, B, or C" or "A, B, and / or C" means "any of the following: A; B; C; A and B; A and C; B and C; A, B, and C". This definition applies to all uses of the terms "or" and "and / or", unless a context dictates otherwise.

[0029] The professional terms used herein are only used to refer to specific embodiments and are not intended to limit the present application. The singular form used herein, unless the context clearly indicates otherwise, also includes the plural form. The meaning of "comprising" used in the specification is to specify the particular characteristics, regions, integers, steps, operations, elements, and / or components, and not to exclude the presence or addition of other characteristics, regions, integers, steps, operations, elements, and / or components.

[0030] Although not differently defined, the technical terms and scientific terms used herein include the technical terms and scientific terms commonly used in the art to which the present application pertains, and all terms have the same meaning as generally understood by a person skilled in the art. The terms defined in a general dictionary are additionally interpreted to have a meaning consistent with the content of the relevant technical literature and the current context, unless defined, and should not be excessively interpreted as ideal or very formal meanings.

[0031] The vehicle-end parking fee payment method provided by the present application realizes seamless connection from image acquisition to payment completion, and the user can complete the payment without getting off the vehicle or manual operation, reducing the waiting time at the parking lot entrance and improving the parking experience of the driver. Under the premise of not supporting parking lot charging, not supporting ETC or no ETC device on the vehicle, and not binding the license plate for the first time to the parking lot, it can quickly respond, complete the payment, and improve the traffic efficiency of the parking lot. Specifically, as shown in Figure 1 The vehicle-end parking fee payment method comprises the following steps: Step 110: Collect real-time image data around the target vehicle during movement, and transmit the real-time image data to the gate recognition model for comparison; wherein the real-time image data around the target vehicle is collected based on the millimeter wave radar and camera sensor on the target vehicle.

[0032] Step 120: If the real-time image data is successfully compared with the gate, extract the two-dimensional code in the real-time image; it can be understood that the real-time image data contains a gate photo, indicating that the target vehicle is about to reach the horizontal rod at the exit of the parking lot, and the two-dimensional code in the real-time image data is extracted for subsequent code scanning payment.

[0033] Step 130: Based on the scanned two-dimensional code, obtain payment data and extract feature data in the payment data; wherein the payment data includes the license plate information of the vehicle to be charged, the parking time, the parking fee, and the parking location. The feature data is the license plate information of the vehicle to be charged, and the setting data is the license plate information of the target vehicle.

[0034] Step 140: If the feature data is consistent with the setting data of the target vehicle, send a security authentication signal to the interactive terminal; it can be understood that the feature data consistent with the setting data indicates that the payment code is the payment code that the target vehicle needs to pay, ensuring that the payment is consistent with the target vehicle.

[0035] Step 150: In response to the confirmation security authentication signal sent by the interactive terminal, pay for the parking lot. The specific embodiment of the above steps 110 to 150 will be further described below: In the foregoing step 110, the millimeter wave radar is used to detect the distance and contour of the object around the vehicle, generate three-dimensional point cloud data, and assist in positioning the potential gate area; the camera captures high-resolution RGB images, covering the front, side and rear view of the vehicle. Real-time image data includes the appearance features of the gate in the parking lot (such as horizontal rod, fence or lifting column), background objects (such as wall, other vehicles) and two-dimensional code identification provided by the parking lot.

[0036] In the foregoing step 120, the two-dimensional code extraction: after confirming the existence of the gate in the real-time image data, the image segmentation algorithm (such as OpenCV contour detection) is used to locate the two-dimensional code area in the image, and the multi-frame fusion technology is used to improve the detection confidence; if the confidence exceeds the preset threshold (0.9), the two-dimensional code image is extracted; the extracted two-dimensional code image is preprocessed (such as grayscale, sharpening) to improve the decoding success rate; the two-dimensional code image is extracted for subsequent analysis.

[0037] In the foregoing step 130, the payment data is obtained by parsing the two-dimensional code through a two-dimensional code decoding library (such as ZBar or ZXing). The payment data includes: license plate information (such as “Hua A12345”) of the vehicle to be charged; parking time (such as entry time, parking duration); parking fee (such as 20.00 yuan); and parking location (such as “XX Parking Lot B Area”). Feature data extraction: the license plate information is extracted from the payment data as feature data for subsequent verification. The extraction process uses an encryption algorithm (such as SHA-256) to generate a verification code to ensure data security.

[0038] In the foregoing step 140, if the feature data does not match the set data of the target vehicle, an abnormal process is triggered, and a notification is pushed to the user, prompting to rescan the two-dimensional code or contact the parking lot administrator for manual verification.

[0039] In the foregoing step 150, the payment operation: according to the parking fee information in the payment data, the payment account (such as WeChat payment, Alipay or other third-party payment interface) bound to the target vehicle is called to complete the payment through API. Record storage: the payment record of the target vehicle is generated, which includes transaction serial number, payment time, amount and parking location, and is stored in the vehicle-mounted database or cloud server for subsequent query or dispute processing.

[0040] The vehicle-end parking fee payment method provided by the foregoing steps 110 to 150 realizes seamless connection from image acquisition to payment completion, and the user can complete the payment without getting off the vehicle or manual operation, reduces the waiting time at the parking lot entrance, and improves the parking experience of the driver. By integrating advanced image recognition technology, multi-sensor cooperation, data encryption verification and automatic payment process, the efficiency, safety and user experience of parking fee payment are significantly improved, and the system has strong environmental adaptability and system scalability. Under the premise that the parking lot does not support ETC or the vehicle does not have ETC equipment, and the vehicle license plate is not bound for the first time, the system can quickly respond, complete payment, and improve the traffic efficiency of the parking lot.

[0041] In some embodiments of the present disclosure, the gate recognition model in the foregoing step 120 includes: A data acquisition module for acquiring sample data of the gate in the parking lot, the sample data including different types of gates, gates at different times, and gate images at multiple angles and in multiple scenes.

[0042] A data processing and labeling module for processing and labeling the obtained sample data, wherein the labeling types include “gate static”, “gate dynamic” and “non-gate” labels.

[0043] The data enhancement module performs image enhancement operations on the labeled gate data, including light adjustment, rotation, mirror flipping, blur processing, and noise injection, to improve the robustness of the model to complex environments.

[0044] The deep learning model training module is configured to train the processed gate data using a deep learning model based on target detection, wherein the training task includes a classification task and a positioning task, and a classification loss and a bounding box regression loss are set. The deep learning model is a YOLO target detection framework that supports real-time identification of gate objects in various forms in the parking lot.

[0045] The dynamic optimization module is configured to improve the model's ability through a feature pyramid network and enhance the model's generalization performance using domain adaptation technology to address the problem of small target feature loss in the parking lot.

[0046] In some embodiments of the present disclosure, the interaction terminal in the aforementioned step 140 includes a central control display provided on the target vehicle. The authentication signal includes a payment pop-up window displayed on the interaction terminal, and the payment pop-up window is provided with a confirmation and cancellation selection box for the in-vehicle personnel to select according to the actual situation. Specifically, the confirmation and cancellation selection box supports user selection through touch or voice interaction.

[0047] The vehicle-side parking fee payment method provided by the embodiment further includes abnormal scenario processing, which is specifically as follows: Image acquisition failure: if the millimeter wave radar or camera fails to collect data due to weather, light, etc., the system prompts the user to switch to a backup camera or manually input the parking lot information.

[0048] Two-dimensional code recognition failure: if the two-dimensional code is blurred or damaged, the system supports manual query of payment data through the parking lot number or license plate information.

[0049] Network interruption: when the network is unavailable, cache the payment data, and reinitiate the payment request after the network is restored.

[0050] In some embodiments of the present disclosure, Figure 2 A structural schematic diagram of a vehicle-side parking fee payment system is shown, as Figure 2 A vehicle-side parking fee payment system is shown, comprising: The acquisition and comparison unit 501 is configured to acquire real-time image data around the target vehicle during movement and transmit the real-time image data to the gate recognition model for comparison; The judgment and extraction unit 502 is configured to judge whether the real-time image data and the gate comparison are successful, and then extract the two-dimensional code in the real-time image; The acquisition and extraction unit 503 is configured to obtain payment data based on scanning the two-dimensional code and extract feature data in the payment data; The judgment authentication unit 504 is configured to judge whether the feature data is consistent with the set data of the target vehicle, and send a security authentication signal to the interaction terminal; The response payment unit 505 is configured to respond to the confirmation security authentication signal sent by the interaction terminal, and pay for the parking lot.

[0051] Those skilled in the art can understand that various aspects of the present disclosure can be implemented as a system, a method or a program product. Therefore, various aspects of the present disclosure can be embodied as a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, which can be collectively referred to as "circuitry", "module" or "platform" here.

[0052] Specifically, Figure 3 According to the embodiment of the present disclosure, a structural schematic diagram of an electronic device is shown. The electronic device 600 according to this embodiment of the present disclosure will be described below with reference to Figure 3 Figure 3 The electronic device 600 shown is only an example, and should not bring any limitation to the function and use range of the embodiment of the present disclosure.

[0053] As Figure 3 shown, the electronic device 600 is in the form of a general computing device. The components of the electronic device 600 can include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0054] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs steps according to various exemplary embodiments of the present disclosure. For example, the processing unit 610 can perform related steps of the vehicle-end parking payment method as shown in Figure 1

[0055] The storage unit 620 can include a readable medium in the form of a volatile storage unit, such as a random access memory (RAM) 6201 and / or a cache storage unit 6202, and can further include a read-only memory (ROM) 6203.

[0056] The storage unit 620 can further include program / utility 6204 having a set of (at least one) program modules 6205, such as an operating system, one or more application programs, other programs, and program data, each of which can include an implementation of a network environment or a combination of some of these examples.

[0057] ​​Bus 630 can be one of several types of bus structures including a storage bus or a memory bus, a peripheral bus, a graphics bus, a processor bus, or a local bus using any of a variety of bus architectures.

[0058] Electronic device 600 can also communicate with one or more external devices 700 such as a keyboard or a pointing device, a Bluetooth device, etc.; other devices that enable a user to interact with electronic device 600; and / or any devices (e.g., a router, a modem, a switch, etc.) that enable electronic device 600 to communicate with one or more other computing devices. Such communication can occur via Input / Output (I / O) interface 650. Still yet, electronic device 600 can communicate with one or more networks, such as one or more local area networks (LANs), one or more wide area networks (WANs), and / or the Internet, via network adapter 660. Network adapter 660 can communicate with the other components of electronic device 600 via bus 630. It should be understood that although not shown, other hardware and / or software components could be used in conjunction with electronic device 600. These include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

[0059] The embodiments of the present disclosure further provide a computer readable storage medium for storing a program, the program being executed to implement the steps of the vehicle-side parking fee payment method. In some possible implementation manners, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program codes for causing a terminal device to perform the steps described in the method for generating a text according to various exemplary embodiments of the present disclosure in the method part of the specification when the program product is run on the terminal device.

[0060] Specifically, Figure 4 According to the embodiments of the present disclosure, a structural schematic diagram of a computer readable storage medium is shown. As Figure 4 As shown, a program product 800 for implementing the vehicle-side parking fee payment method described above according to the embodiments of the present disclosure is described, which can adopt a portable compact disc read-only memory (CD-ROM) and include program codes, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited to this, and in this document, the readable storage medium can be any tangible medium containing or storing a program, which can be used by or in conjunction with an instruction execution system, a system, or a device.

[0061] The program product can take any combination of one or more computer-readable media to implement the program code. The computer-readable media can be a computer-readable storage medium or a computer-readable signal medium. The computer-readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of the computer-readable storage medium include an electrical connection having one or more wires, a portable disc, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0062] The computer-readable storage medium can include a data signal traveling in a baseband or a carrier wave traveling in a baseband, in which the program code is carried. Such a traveling data signal can take a variety of forms, including but not limited to electro-magnetic, optical, or any suitable combination of the above. The computer-readable storage medium can also be any computer-readable medium other than a computer-readable storage medium that can be a computer-readable storage medium that can send, receive, or otherwise carry program code, used by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable storage medium can be transmitted on any suitable medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the above.

[0063] The program code for carrying out the operations of the method for vehicle-side parking fee payment provided by the foregoing embodiments of the present disclosure can be written in any combination of one or more programming languages, including an object-oriented programming language, such as Java, C++, etc., and a conventional procedural programming language, such as the "C" language or a similar programming language. The program code can be executed entirely on the user computing device, partially on the user device, as a standalone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case involving a remote computing device, the remote computing device can be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, through the Internet by using an Internet service provider).

[0064] In summary, through the technical scheme provided by the present disclosure, the proposed vehicle-end parking fee payment method significantly improves the efficiency, security and user experience of parking fee payment by integrating advanced image recognition technology, multi-sensor cooperation, data encryption verification and automatic payment process, and has strong environmental adaptability and system scalability. It can quickly respond, complete payment and improve the traffic efficiency of the parking lot under the premise of not supporting the parking lot charging, not supporting ETC or no ETC device on the vehicle, and not binding the license plate for the first time.

[0065] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or replacements within the technical range disclosed by the present application can be easily thought of by those skilled in the art, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for paying parking fees at the vehicle end, characterized in that, include: Real-time image data of the surroundings of the target vehicle during its movement is collected, and the real-time image data is transmitted to the gate recognition model for comparison. If the real-time image data is successfully compared with the gate, the QR code in the real-time image is extracted. Payment data is obtained by scanning QR codes, and feature data is extracted from the payment data; If the feature data matches the target vehicle's set data, a security authentication signal is sent to the interactive terminal. Responding to the confirmation security authentication signal sent by the interactive terminal, pay the parking fee.

2. The vehicle-side parking payment method as described in claim 1, characterized in that, The gate recognition model includes: The data acquisition module is used to collect sample data of the turnstiles in the parking lot. The sample data includes different types of turnstiles, turnstiles at different times, and turnstile images from multiple angles and in multiple scenes. The data processing and labeling module is used to process and label the obtained sample data. The labeling types include "gate stationary", "gate moving", and "non-gate" labels. The data augmentation module performs image augmentation operations on the labeled gate data. These augmentation operations include lighting adjustment, rotation, mirror flipping, blurring, and noise injection to improve the model's robustness to complex environments. The deep learning model training module is used to train the processed gate data using a deep learning model based on object detection. The training tasks include classification and localization tasks, and classification loss and bounding box regression loss are set. The dynamic optimization module addresses the issue of lost features for small targets in parking lots by improving model capabilities through a feature pyramid network and enhancing model generalization performance using domain adaptation techniques.

3. The vehicle-side parking payment method as described in claim 2, characterized in that, The deep learning model is the YOLO object detection framework, which supports real-time identification of diverse gate objects in parking lots.

4. The vehicle-side parking payment method as described in claim 1, characterized in that, The payment data includes the license plate information of the vehicle to be paid, the parking time, the parking fee, and the parking location.

5. The vehicle-side parking payment method as described in claim 4, characterized in that, The feature data is the license plate information of the vehicle to be charged, and the setting data is the license plate information of the target vehicle.

6. The vehicle-side parking payment method as described in claim 1, characterized in that, The interactive terminal includes a central control display installed on the target vehicle.

7. The vehicle-side parking payment method as described in claim 1, characterized in that, The authentication signal includes a payment pop-up window displayed on the interactive terminal, which has confirmation and cancellation selection boxes for passengers in the vehicle to choose according to the actual situation.

8. A vehicle-mounted parking payment system, characterized in that, include: The acquisition and comparison unit is used to acquire real-time image data of the surroundings of the target vehicle during its movement, and transmit the real-time image data to the gate recognition model for comparison; The judgment and extraction unit is used to determine if the real-time image data is successfully compared with the gate, and then extract the QR code from the real-time image; The data acquisition and extraction unit is used to obtain payment data based on scanning QR codes and extract feature data from the payment data; The authentication unit determines whether the feature data matches the set data of the target vehicle, and then sends a security authentication signal to the interactive terminal. The payment unit is used to respond to the confirmation security authentication signal sent by the interactive terminal and pay the parking fee.

9. An electronic device, characterized in that, include: A memory for storing instructions executed by one or more processors of an electronic device, and a processor, one of the processors of the electronic device, for executing the vehicle-side parking payment method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the vehicle-side parking payment method as described in any one of claims 1 to 7.