Automatic recovery system and method for parking lot vehicle evasion

Abstract

This invention discloses an automatic parking fee evasion recovery system and method. The system includes: an evasion event collection unit, a vehicle identity verification unit, a fee calculation unit, a multi-channel notification and reminder unit, an online recovery and payment unit, and an evasion blacklist and linkage control unit. Using an evasion determination signal as the trigger source, it automatically completes multi-angle high-definition capture, license plate recognition, and structured evasion event recording. It achieves accurate matching of vehicle owner identities through interface with vehicle information query; employs a four-tiered progressive reminder strategy, pushing reminder notifications through multiple channels including SMS, WeChat, voice calls, and email; provides a dedicated HTTPS recovery and payment page to support online settlement; achieves cross-park linkage interception through a parking lot alliance blacklist sharing mechanism; and stores all evidence on the blockchain to ensure its admissibility. Therefore, it can achieve accurate recovery of evading vehicles and full-process evidence retention.

Description

Technical Field

[0001] This invention relates to the field of intelligent parking management technology, and in particular to an automatic parking fee evasion recovery system and a parking fee evasion recovery method. Background Technology

[0002] Parking fee evasion has long plagued parking lot operators. According to statistics from several domestic parking lot operators, following other vehicles to evade payment is one of the most common methods, followed by jaywalking and taking detours. The overall evasion rate is approximately 0.3% to 1.2%. For large parking lots with thousands of vehicles entering and exiting daily, the daily losses can reach hundreds to thousands of yuan, resulting in significant cumulative losses throughout the year.

[0003] Current technology for recovering toll evasion typically relies on manual review of surveillance footage, manual recording of license plates, and manual contact with vehicle owners. This approach has the following significant drawbacks: (1) Inefficiency: Manual processing of a single case of toll evasion takes about 30 to 60 minutes, making it difficult to handle a large number of toll evasion cases one by one, with an actual recovery rate of less than 5%; (2) Incomplete chain of evidence: The existing system only saves surveillance videos and lacks an electronic chain of evidence that can be accepted by judicial procedures, which cannot support legal recovery; (3) Limited notification channels: The parking lot cannot actively obtain the car owner's contact information, so there is no way to send payment reminders. Vehicles that evade payment are actually in a state where "the cost of evading payment is close to zero". (4) Lack of cross-park linkage: There is no information sharing mechanism for evasion between parking lots, and vehicles that evade payment can repeatedly evade payment in different parking lots without being restricted.

[0004] Existing technologies offer numerous solutions for real-time prevention of toll evasion by following vehicles. However, in practice, a small number of vehicles still manage to leave successfully, such as during system malfunctions, gate mechanical failures, or when the parking lot has multiple exits. Furthermore, these real-time prevention methods are ineffective against other forms of toll evasion, such as jaywalking or taking detours. Therefore, a reliable post-event collection system is needed as the final line of defense in a complete closed-loop system. Summary of the Invention

[0005] The present invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, one objective of the present invention is to provide an automatic parking fee evasion recovery system capable of accurately recovering fees from evading vehicles and preserving evidence throughout the entire process.

[0006] The second objective of this invention is to propose a method for automatically recovering parking fees evaded by vehicles.

[0007] To achieve the above objectives, a first aspect of the present invention proposes an automatic parking fee evasion recovery system, comprising: an evasion event collection unit deployed at the parking lot exit passage for receiving evasion judgment signals and triggering evasion event collection based on the evasion judgment signals to obtain evasion event records with unique numbers; a vehicle identity verification unit communicatively connected to the evasion event collection unit, which queries the corresponding identity information repository based on the evasion event records to obtain the vehicle owner's identity and contact information; and a fee calculation unit communicatively connected to the evasion event collection unit and the parking lot billing system, which automatically calculates parking fees based on parking duration and billing standards, and generates late payment penalties according to preset rules to obtain a list of fees payable; and multiple... The system comprises: a multi-channel notification and collection unit, which communicates with the vehicle identity verification unit and the fee calculation unit, and sends collection notices to the owners of vehicles that have evaded payment through multiple channels according to a preset tiered strategy; an online collection and payment unit, which also communicates with the multi-channel notification and collection unit and the fee calculation unit, providing a payment interface to the owners of vehicles that have evaded payment and automatically canceling the evasion event record after payment is completed; and a evasion blacklist and linkage control unit, which communicates with the online collection and payment unit and the parking management systems of each parking lot within the alliance, adding the license plates of vehicles that have evaded payment after the preset collection period to the parking lot evasion blacklist and pushing the evasion event record and evidence to the networked parking lot alliance platform for cross-site interception and key supervision.

[0008] The automatic parking fee evasion recovery system according to an embodiment of the present invention includes an evasion event collection unit, a vehicle identity verification unit, a fee calculation unit, a multi-channel notification and reminder unit, an online recovery and payment unit, and an evasion blacklist and linkage control unit. The evasion event collection unit is deployed at the parking lot exit passage to receive evasion judgment signals and trigger evasion event collection based on these signals to obtain evasion event records with unique numbers. The vehicle identity verification unit is communicatively connected to the evasion event collection unit and queries the corresponding identity information repository based on the evasion event records to obtain the vehicle owner's contact information. The fee calculation unit is communicatively connected to the evasion event collection unit and the parking lot billing system, automatically calculating the parking fee based on the parking duration and billing standard, and generating a late payment penalty according to preset rules. The system obtains a list of fees due; the multi-channel notification and collection unit communicates with the vehicle identity verification unit and the fee calculation unit, sending collection notices to the owners of vehicles that have evaded payment through multiple channels according to a preset tiered strategy; the online collection and payment unit communicates with the multi-channel notification and collection unit and the fee calculation unit, providing a payment interface to the owners of vehicles that have evaded payment, and automatically canceling the evasion event record after payment is completed; the evasion blacklist and linkage control unit communicates with the online collection and payment unit and the parking management systems of each parking lot in the alliance, adding the license plate of vehicles that have evaded payment after the preset collection period to the parking lot evasion blacklist, and pushing the evasion event record and evidence to the networked parking lot alliance platform for cross-site interception and key supervision; thus, it can achieve accurate collection of fees from vehicles that have evaded payment and full-process evidence retention.

[0009] In addition, the automatic parking fee evasion recovery system proposed in the above embodiments of the present invention may also have the following additional technical features: Optionally, the toll evasion event collection unit includes a trigger receiving module, a multi-angle capture module, a license plate recognition module, and an event record generation module. The trigger receiving module is communicatively connected to the anti-following toll evasion control system and is used to receive toll evasion judgment signals and trigger capture. The multi-angle capture module includes at least three high-definition cameras, respectively deployed in front of, to the side of, and above the exit channel, for collecting capture data of toll evading vehicles. The license plate recognition module is used to recognize the captured data to obtain the license plate recognition result of the toll evading vehicle. The event record generation module is used to encapsulate the captured data, license plate recognition result, vehicle entry time, toll evasion exit time, and parking lot identification code into a structured toll evasion event record with a unique number.

[0010] Optionally, the vehicle identity verification unit includes a first query module, a second query module, a license plate error correction module, and a manual review queue module; The first query module is connected to the parking lot historical payment database to query the vehicle owner's identity and contact information based on the license plate recognition result. The second query module is connected to the networked parking lot alliance data to query the vehicle owner's identity and contact information based on the license plate recognition result in the historical parking records of all alliance parking lots when the first query module fails. The license plate error correction module is used to perform fault-tolerant matching on the license plate in the license plate recognition result when the first and second query modules fail, generate a candidate license plate list, and verify them one by one. The manual review queue module is used to process the evasion event records that failed to be queried, and to query and obtain the vehicle owner's identity and contact information based on the license plate information in the evasion event records.

[0011] Optionally, the fee calculation unit includes a parking fee calculation module, a penalty calculation module, a late payment fee calculation module, and a fee list generation module; wherein, the parking fee calculation module is used to calculate the basic parking fee based on the vehicle's entry time and the time of evasion of payment; the penalty calculation module is used to calculate the penalty for evasion of payment according to preset rules; the late payment fee calculation module is used to calculate the rolling late payment fee based on the overdue period; and the fee list generation module is used to generate a detailed list of fees payable.

[0012] Optionally, the multi-channel notification and collection unit includes an SMS notification module, a WeChat message module, an email module, and a voice outbound call module. Each module is connected to a corresponding communication service interface and is used to send collection notices, including evidence of toll evasion, fee details, and online payment links, to the owners of vehicles that have evaded tolls according to a preset tiered strategy.

[0013] Optionally, the preset tiered strategy implements a four-tiered progressive collection process based on different times after the occurrence of fee evasion and different collection channels.

[0014] Optionally, the online collection and payment unit includes an HTTPS payment page module, a multi-payment gateway integration module, a payment verification module, and an electronic voucher generation module; wherein, the HTTPS payment page module is used to provide a verifiable dedicated payment entry point; the multi-payment gateway integration module is used to connect to mainstream payment channels; the payment verification module is used to update the status of the evasion event record after payment is completed; and the electronic voucher generation module is used to issue payment vouchers.

[0015] Optionally, the toll evasion blacklist and linkage control unit includes a blacklist database module, a network push module, an entry warning module, and a pre-authorization deduction module; wherein, the blacklist database module is used to store information on vehicles evading tolls; the network push module is used to synchronize blacklist data to parking lots within the alliance; the entry warning module is used to send a reminder to the administrator when a blacklisted vehicle enters the parking lot; and the pre-authorization deduction module is used to initiate payment pre-authorization for blacklisted vehicles upon entry, thereby achieving cross-park linkage control.

[0016] Optionally, it also includes a data archiving and evidence collection unit, which includes a data hash calculation module, an on-chain evidence collection and docking module, an evidence collection record management module, and an evidence collection export module. The data hash calculation module calculates SHA-256 hash digests for each piece of data generated throughout the entire process of the fee evasion event to ensure data integrity. The on-chain evidence collection and docking module writes the generated hash value along with a timestamp into the blockchain evidence collection platform to obtain an immutable on-chain transaction hash as evidence. The evidence collection record management module encrypts and manages the locally stored original fee evasion data, sets a retention period, and permanently retains the on-chain hash records. The evidence collection export module exports, upon request from the operator, the hash data of the entire fee evasion event process, the on-chain transaction hash, and the verification link of the evidence collection platform as supporting documentation.

[0017] To achieve the above objectives, a second aspect of the present invention provides a method for automatically collecting parking fees evaded by vehicles, applied to the automatic parking fee evasion collection system described in any of the first aspects, comprising the following steps: receiving an evasion determination signal, and triggering evasion event collection based on the evasion determination signal to obtain an evasion event record with a unique number; querying the evasion event record in a corresponding identity information repository to obtain the vehicle owner's identity and contact information; automatically calculating the parking fee based on the parking duration and billing standard, and generating a late payment penalty according to preset rules to obtain a list of fees payable; and using the vehicle owner's identity and contact information... The system first reminds vehicle owners of the outstanding fees and provides a payment channel to obtain payment results. If payment is confirmed, the evasion incident record is cleared and archived. If payment is not confirmed, the outstanding fees list is updated according to the time after the evasion occurred to formally notify the vehicle owner of the second stage of payment. This process is repeated in a four-tiered progressive manner. If payment is still not made after the four-tiered progressive reminders, the vehicle's license plate is added to the parking lot's blacklist for evasion, and the evasion incident record and evidence are pushed to the networked parking lot alliance platform for cross-site interception and key monitoring, as well as full-process data archiving. Attached Figure Description

[0018] Figure 1This is a schematic diagram of the overall architecture of the automatic parking fee evasion recovery system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the process for collecting evidence and generating evidence of toll evasion incidents according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a multi-channel tiered collection process according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the toll evasion blacklist and network linkage control mechanism according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the blockchain evidence storage data flow and evidence collection path according to an embodiment of the present invention; Figure 6 This is a flowchart illustrating the automatic collection method for parking fee evasion according to an embodiment of the present invention. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0020] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the invention to those skilled in the art.

[0021] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0022] Figure 1 This is a schematic diagram of the overall system architecture of the automatic parking fee evasion recovery system according to an embodiment of the present invention, as shown below. Figure 1 As shown, the automatic collection system for vehicle evasion in the parking lot includes: an evasion event collection unit 10, a vehicle identity verification unit 20, a fee calculation unit 30, a multi-channel notification and collection unit 40, an online collection and payment unit 50, and an evasion blacklist and linkage control unit 60.

[0023] The system includes a toll evasion event collection unit 10, deployed at the parking lot exit, for receiving toll evasion judgment signals and triggering toll evasion event collection based on these signals to obtain toll evasion event records with unique numbers; a vehicle identity verification unit 20, communicatively connected to the toll evasion event collection unit 10, for querying the corresponding identity information repository based on the toll evasion event records to obtain the vehicle owner's contact information; a fee calculation unit 30, communicatively connected to the toll evasion event collection unit 10 and the parking lot billing system, for automatically calculating parking fees based on parking duration and billing standards, and generating late payment penalties according to preset rules to obtain a list of fees due; and a multi-channel notification and collection unit 40, connected to the vehicle identity verification form. Unit 20 and Fee Calculation Unit 30 are connected via communication, and send payment reminders to vehicle owners who have evaded payment through multiple channels according to a preset tiered strategy. Online Payment Collection Unit 50 is connected via communication with Multi-channel Notification and Payment Collection Unit 40 and Fee Calculation Unit 30, and is used to provide a payment interface to vehicle owners who have evaded payment, and automatically cancel the payment evasion event record after payment is completed. The Payment Evasion Blacklist and Linkage Control Unit 60 is connected via communication with Online Payment Collection Unit 50 and the parking management systems of each parking lot in the alliance, and adds the license plate of vehicles that have evaded payment after the preset collection period to the parking lot payment evasion blacklist, and pushes the payment evasion event record and evidence to the networked parking lot alliance platform for cross-site interception and key supervision.

[0024] In other words, the toll evasion event collection unit 10 is used to collect high-definition images, video clips, license plate numbers, time of toll evasion, and parking lot identification codes of vehicles evading tolls in real time when such behavior occurs, and generate a toll evasion event record with a unique number; the vehicle identity verification unit 20 communicates with the public security traffic management vehicle information database and the third-party motor vehicle registration query interface, and retrieves the vehicle owner's name, contact information, ID card number, or unified social credit code based on the license plate number in the toll evasion event record; the fee calculation unit 30 communicates with the parking lot billing system, calculates the parking fee payable based on the vehicle's entry time and exit time in the toll evasion event record, and adds a penalty for toll evasion; and provides multi-channel notification. The collection unit 40 is used to send collection notices, including parking fees, late fees, evidence images, and online payment links, to the owners of vehicles that have evaded payment via SMS, WeChat official account / mini-program message channels, email channels, and APP push channels. The online collection and payment unit 50 provides a dedicated payment interface for the owners of vehicles that have evaded payment, supporting multiple payment methods such as WeChat Pay, Alipay, and UnionPay. After payment is completed, the system automatically verifies the record of the evasion event and issues an electronic voucher. The evasion blacklist and linkage control unit 60 adds the license plates of vehicles that have evaded payment but have not paid within the preset collection period to the parking lot evasion blacklist and pushes the evasion record and evidence to the networked parking lot alliance platform to achieve cross-site interception and key supervision.

[0025] It should be noted that by using technologies such as triggering and collecting data on toll evasion incidents, verifying the identity of vehicles evading tolls, calculating the amount due, tiered collection, online payment and blockchain evidence storage, and cross-site joint management and control, the existing problems of low efficiency in collecting toll evasion in parking lots, lack of evidence chains, and lack of linkage mechanisms are solved, increasing the actual collection rate from less than 5% to over 90%.

[0026] Specifically, each unit operates on a toll evasion collection management platform deployed on a local server or in the cloud of the parking lot, and uses a unified data bus for message transmission and status synchronization. The toll evasion collection management platform can be directly integrated with the existing anti-following toll evasion control system, using the toll evasion judgment signal output by the anti-following toll evasion control system as the trigger input for the toll evasion event collection unit 10; or it can be deployed independently, receiving toll evasion judgment signals as the trigger input for the toll evasion event collection unit 10 through ground loop abnormal signals, gate status abnormal signals, or manual triggering.

[0027] As one embodiment, the toll evasion event acquisition unit 10 includes a trigger receiving module, a multi-angle capture module, a license plate recognition module, and an event record generation module. The trigger receiving module is communicatively connected to the anti-following toll evasion control system and is used to receive toll evasion judgment signals and trigger capture. The multi-angle capture module includes at least three high-definition cameras, respectively deployed in front of, to the side of, and above the exit channel, for capturing capture data of toll evading vehicles. The license plate recognition module is used to recognize the captured data to obtain the license plate recognition result of the toll evading vehicle. The event record generation module is used to encapsulate the captured data, license plate recognition result, vehicle entry time, toll evasion exit time, and parking lot identification code into a structured toll evasion event record with a unique number.

[0028] Specifically, such as Figure 2 As shown, the trigger receiving module is directly connected to the anti-following toll evasion control system or the ground loop coil, listens for the toll evasion judgment signal, and issues a capture trigger command within 50 milliseconds of receiving the toll evasion judgment signal; the multi-angle capture module includes at least three high-definition cameras, respectively deployed in front of the exit channel (capturing the front of the vehicle and license plate), to the side (capturing the side of the vehicle and its overall outline), and from the top (capturing the complete process of the vehicle passing through the gate), with a capture resolution of not less than 1920×1080 pixels, a capture frame rate of not less than 10 frames / second, and a continuous capture duration of not less than 5 seconds, ensuring that clear images can be obtained at different speeds; the event record generation module encapsulates the image sequence, video clips, and license plate recognition results obtained from the capture, together with the vehicle entry time queried by the parking fee system, to generate a structured toll evasion event record with a unique event number (UUID v4 format), which is stored in a local database and backed up in the cloud in JSON format.

[0029] As one embodiment, the vehicle identity verification unit 20 includes a first query module, a second query module, a license plate error correction module, and a manual review queue module. The first query module is communicatively connected to the parking lot historical payment database to query the vehicle owner's contact information based on the license plate recognition result. The second query module is communicatively connected to the networked parking lot alliance data to query the vehicle owner's contact information based on the license plate recognition result in all alliance parking lots' historical parking records when the first query module fails. The license plate error correction module performs fault-tolerant matching on the license plate in the license plate recognition result when the first and second query modules fail, generating a candidate license plate list and verifying each one. The manual review queue module processes records of evasion events that failed to be queried, and retrieves the vehicle owner's contact information based on the license plate information in the evasion event records.

[0030] In other words, when the identified license plate number cannot be matched in the database, the system automatically replaces and compares similar characters one by one. The Hamming distance between the candidate similar license plates does not exceed 1, and a manual review queue performs a second confirmation to ensure the accuracy of the identity of the toll evader.

[0031] Specifically, the vehicle identity verification unit 20 uses the license plate number in the toll evasion incident record as the query key to verify the identity through the following channels: (a) Parking lot’s own registered user database: Prioritize querying. If the license plate exists in the historical payment records, directly obtain the bound mobile phone number, WeChat OpenID or APP account information; (b) Parking Lot Alliance Shared Database: Query historical parking records of alliance member parking lots and obtain vehicle owner contact information; (c) License plate error correction module: When the main query fails, each character of the identified license plate is replaced with a fault-tolerant one (easily confused character pairs such as O and 0, I and 1, B and 8), a candidate license plate list is generated and verified one by one, and the Hamming distance does not exceed 1; (d) Manual review queue: When automatic query and error correction fail to match, the evasion event record will be transferred to the manual processing queue, and the parking lot management personnel will conduct manual verification within 24 hours.

[0032] When obtaining vehicle owner contact information, the system strictly complies with the Personal Information Protection Law and related data security regulations, does not store personal information not required for the purpose of this recovery, and stores query logs in encrypted form with a 60-day automatic deletion cycle.

[0033] As one embodiment, the fee calculation unit 30 includes a parking fee calculation module, a penalty calculation module, a late payment fee calculation module, and a fee list generation module; wherein, the parking fee calculation module is used to calculate the basic parking fee based on the vehicle's entry time and the time of evading payment; the penalty calculation module is used to calculate the penalty for evading payment according to preset rules; the late payment fee calculation module is used to calculate the rolling late payment fee based on the overdue period; and the fee list generation module is used to generate a detailed list of fees payable.

[0034] It should be noted that the fee calculation unit adopts the following billing model: Fee payable = Parking fee calculated according to the current parking lot billing standard + Penalty for evasion; The default value of the penalty for evasion is three times the parking fee, and not less than RMB 50. The upper limit is set by the parking lot operator in the system backend, and the maximum shall not exceed RMB 500; The fee payable increases with each round of collection. If the fee is not paid within 24 hours, a late payment fee will be calculated at a daily interest rate of 0.05%, and the total late payment fee shall not exceed 20% of the fee payable.

[0035] Specifically, the fee calculation unit 30 accurately calculates the parking fee payable based on the parking duration and the parking lot's current charging standards: (a) Parking fee calculation: Obtain the vehicle's entry timestamp from the parking fee calculation system, take the exit time as the time of evading payment, and call the parking fee calculation interface to calculate the parking fee F_park; (b) Calculation of penalty for evasion: penalty for evasion of payment F_penalty=max(F_park×multiplier k, 50 yuan), where the default value of multiplier k is 3, and the upper limit is set to 500 yuan. The parking lot operator can customize the value of k and the upper limit in the back-end management interface. (c) Late payment fee calculation: If payment is not made within 24 hours of the first reminder, a late payment fee of F_late = (F_park + F_penalty) × 0.05% will be charged daily, with a cumulative late payment fee cap of (F_park + F_penalty) × 20%; (d) Fee list generation: Summarize F_park, F_penalty and F_late for the day to generate a detailed list of fees payable. Send a payment reminder to the vehicle owner each time and update the fee list in real time.

[0036] As an example, the multi-channel notification and collection unit includes an SMS notification module, a WeChat message module, an email module, and a voice outbound call module. Each module is connected to a corresponding communication service interface and is used to send collection notices, including evidence of toll evasion, fee details, and online payment links, to the owners of vehicles that have evaded tolls according to a preset tiered strategy.

[0037] As an example, the preset tiered strategy implements a four-tiered progressive collection process based on different times after the occurrence of fee evasion and different collection channels.

[0038] It should be noted that the multi-channel notification and collection unit 40 implements a tiered collection strategy: Tier 1 (0 to 24 hours after the evasion): Sending friendly reminder text messages and WeChat notifications to vehicle owners, including screenshots of evasion evidence, the parking fee amount, and a quick payment link for waiving late fees. The payment link is valid for 24 hours. Tier 2 (24 to 72 hours after the evasion): Sending a formal collection notice, stating that the late fees have been charged, and attaching a warning statement that the report has been submitted to the traffic authorities. Tier 3 (72 hours to 7 days after the evasion): Sending notices simultaneously via text message, voice call, and email, and marking the evasion record as pending transfer. Tier 4 (more than 7 days after the evasion): Automatically generating an exportable evasion record certificate, which allows parking lot operators to apply to relevant administrative departments for assistance in recovering the evasion.

[0039] Specifically, such as Figure 3 As shown, the multi-channel notification and collection unit implements a four-tiered progressive collection strategy: First Tier: 0 to 24 hours after the evasion of payment: The system automatically sends a "friendly reminder" type payment reminder to the vehicle owner through channels including SMS (including the parking lot name, time of evasion, parking fee amount and a special link for quick payment without penalty) and WeChat service notification (if the car owner has followed the parking lot's official account or used the parking lot's mini program); the first tier payment link is valid for 24 hours and does not incur penalty, in order to get the car owner to pay voluntarily at the lowest cost.

[0040] Second tier: 24 to 72 hours after the evasion occurs: Send a "formal payment reminder notice" to clearly inform the person that the penalty has been included in the amount due, and add a warning that "if the payment is not made within 72 hours, the processing level will be escalated"; the channels are expanded to SMS + WeChat + email (if there is an email address).

[0041] The third tier: 72 hours to 7 days after the toll evasion occurs: A "serious warning notice" is sent, informing the car owner that the toll evasion record will soon be pushed to the parking lot alliance platform and relevant administrative departments, requesting the car owner to complete the payment within 7 days; at the same time, an outbound voice call (completed by a voice robot) is automatically triggered, and the content of the call and the recording are kept as evidence; the channels are SMS + telephone voice + WeChat + email.

[0042] Fourth Tier: More than 7 days after the occurrence of parking fee evasion: The system automatically generates an electronic "Parking Fee Evasion Record Certificate" file, including the event number, time, license plate, parking fee details, previous collection records, and blockchain evidence hash, which can be used by the parking lot operator through administrative channels or by applying for a payment order from the court; the license plate is automatically added to the parking lot alliance's blacklist of parking fee evasion.

[0043] As one embodiment, the online collection and payment unit 50 includes an HTTPS payment page module, a multi-payment gateway integration module, a payment verification module, and an electronic voucher generation module; wherein, the HTTPS payment page module is used to provide a verifiable dedicated payment entry point; the multi-payment gateway integration module is used to integrate with mainstream payment channels; the payment verification module is used to update the status of the evasion event record after payment is completed; and the electronic voucher generation module is used to issue payment vouchers.

[0044] In other words, the online collection and payment unit uses a dedicated collection and payment page. This page provides services through an HTTPS certificate issued under the parking lot operator's domain. The payment page clearly displays: the parking lot name, the time of the evasion, thumbnails of evidence images, billing details, explanation of the penalty, and a dispute appeal portal. After the payment is completed, the payment voucher is automatically synchronized to the evasion event record system and marked as "settled". At the same time, an encrypted hash verification code is generated for post-event verification.

[0045] Specifically, the online collection and payment unit provides a dedicated HTTPS collection and payment page. The page URL includes a signed evasion event number parameter to ensure the uniqueness and tamper-proof nature of the link. The page content includes: (a) Parking lot name and logo; (b) The time of the fare evasion and the duration of parking; (c) Thumbnail images of evidence from multiple angles (click to enlarge); (d) Detailed breakdown of expenses: parking fees, late payment penalties, daily late fees, and total amount; (e) Payment button: Supports WeChat Pay, Alipay, UnionPay QuickPass and UnionPay Online Banking; (f) Dispute appeal entry: If the vehicle owner disagrees with the determination of toll evasion, he / she can submit a written explanation and pictures, and the system will transfer the case to the dispute resolution process; (g) Help and instructions: Inform vehicle owners of the legal basis of this system and the method of evidence archiving.

[0046] After successful payment, the payment gateway callback triggers the following automated operations: ① Verify the evasion event record (status changes to "settled"); ② Generate an electronic parking payment voucher and push it to the vehicle owner; ③ Notify the evasion blacklist management module to delete the blacklist application for the license plate (if an application has been submitted but not yet entered into the database); ④ Upload the recovery result to the blockchain for evidence storage.

[0047] As an example, the toll evasion blacklist and linkage control unit includes a blacklist database module, a network push module, an entry warning module, and a pre-authorization deduction module. The blacklist database module stores information on vehicles evading tolls; the network push module synchronizes the blacklist data to parking lots within the alliance; the entry warning module sends a notification to the administrator when a blacklisted vehicle enters the parking lot; and the pre-authorization deduction module initiates pre-authorization for payment when a blacklisted vehicle enters the parking lot, thus achieving cross-park linkage control.

[0048] It should be noted that the blacklist database stores the license plate number, number of times of evasion, unpaid amount, and the most recent time of evasion in an encrypted manner. The blacklist information is synchronized to other member parking lots in the alliance through the parking lot alliance API interface. When a blacklisted vehicle enters the parking lot, the member parking lot will trigger an entry warning to lock the payment assets in advance. For vehicles included in the blacklist, a mandatory pre-authorization deduction function is provided upon entry, and the pre-authorization amount is not less than twice the average parking fee in previous times.

[0049] Specifically, such as Figure 4 As shown, the workflow of the toll evasion blacklist and the linkage control unit 60 is as follows: (a) Blacklist writing: If the toll evasion incident occurs 7 days after the incident and the toll is not paid, the license plate will be automatically written into the local blacklist database to record the number of toll evasions, the amount of unpaid tolls, and the time of the most recent toll evasion. (b) Blacklist sharing: Blacklisted license plates are synchronized in real time to all member parking lots of the alliance in an encrypted manner via the parking lot alliance platform API; (c) Entry warning: When a blacklisted vehicle passes through the entrance by scanning the code or license plate recognition, the parking lot of the alliance member will automatically pop up a warning on the gate control interface that "this vehicle has a blacklist record of evading payment" and push a notification to the parking lot manager. (d) Pre-authorization deduction: When the technical conditions are met (such as the vehicle is bound to an ETC account or a parking lot APP), a pre-authorization deduction will be automatically initiated when a blacklisted vehicle enters the parking lot. The pre-authorization amount shall not be less than twice the average parking fee of previous times, so as to ensure that the normal deduction can be completed when leaving the parking lot. (e) Blacklist Removal: After a blacklisted vehicle has paid all its historical arrears, the system will automatically initiate a blacklist removal request. After confirmation by the alliance platform, the vehicle will be removed from the blacklist within 24 hours.

[0050] As one example, the automatic parking fee evasion recovery system also includes a data archiving and evidence collection unit. This unit comprises a data hash calculation module, an on-chain evidence storage integration module, an evidence storage record management module, and an evidence export module. Specifically, the data hash calculation module calculates SHA-256 hash digests for each piece of data generated throughout the entire fee evasion event to ensure data integrity; the on-chain evidence storage integration module writes the generated hash value along with a timestamp to the blockchain evidence storage platform to obtain an immutable on-chain transaction hash as evidence; the evidence storage record management module encrypts and manages the locally stored original fee evasion data, sets a retention period, and permanently stores the on-chain hash records; and the evidence export module exports, upon request from the operator, the hash data of the entire fee evasion event, the on-chain transaction hash, and the verification link to the evidence storage platform as supporting documentation.

[0051] It should be noted that the data archiving and evidence collection unit performs hash digest calculations on the original videos, images, license plate recognition records, payment status and collection notice records of all toll evasion incidents and stores them on the blockchain. The blockchain evidence storage platform used should meet the requirements of the "Electronic Data Storage Specification" (GA / T 1176), and the stored electronic evidence should have the integrity proof capability that can be accepted by judicial institutions.

[0052] Specifically, such as Figure 5 As shown, this application sets up an independent data archiving and evidence collection unit to store all data related to toll evasion incidents on the blockchain from triggering to completion of handling: (a) Evidence content: original captured images, video clips, license plate recognition records, entry time, time of evasion of payment, fee calculation records, records of all overdue payment notices sent, and payment status; (b) Evidence storage method: Calculate the SHA-256 hash digest for each type of data mentioned above, write the hash value along with the timestamp into the blockchain evidence storage platform that conforms to the GB / T 36629 standard, and obtain the on-chain transaction hash as evidence storage certificate; (c) Evidence Export: Parking lot operators can export a "proof document" containing on-chain hash and a verification link from the evidence storage platform for any fee evasion incident in the system backend. This document can be used as an attachment to apply for a payment order or administrative complaint to the court. (d) Data retention period: Data related to fee evasion incidents shall be retained for at least 3 years, and the hash records on the blockchain shall be permanently stored.

[0053] As an example, the automatic collection system for parking lot evasion also includes a dispute resolution module. When a vehicle owner raises an objection to the evasion incident, the dispute resolution module automatically retrieves complete video evidence and on-chain evidence records. The audit personnel designated by the parking lot operator complete the verification within 48 hours. The verification conclusion is divided into three categories: "maintain collection", "reduce or waive penalty fee" and "revoke record". The entire verification process is recorded and archived.

[0054] As a specific example, taking the underground parking lot of a large commercial complex as an example, the parking lot has an average of about 5,000 vehicles entering and exiting per day, and the historical statistics show that the evasion rate is about 0.6%, with an average of about 30 evasions per day.

[0055] After deploying the system for this application, its operation is as follows: (1) The system is connected to the anti-following toll evasion control system described in the previous patent, and uses its toll evasion judgment signal as the trigger source; at the same time, an abnormal detection of the ground induction coil is added to the exit channel to be compatible with the event triggering of toll evasion by rushing the gate; (2) After receiving the trigger signal, the toll evasion event collection unit completes three-angle capture and starts license plate recognition within an average of 200 milliseconds, with a license plate recognition success rate of 99.4%; (3) The vehicle identity verification unit had a matching rate of 73% for the parking lot’s own registered users. After combining the shared data of the alliance parking lots, the overall contact information acquisition rate increased to 88%. (4) The response rate for the first tier of reminders (0 to 24 hours) was 41%; the cumulative payment rate for the second tier (24 to 72 hours) increased to 67%; the cumulative payment rate for the third tier (72 hours to 7 days) increased to 81%; and the number of evasion cases that finally entered the fourth tier (blacklist + legal recovery) accounted for about 19%, of which about half of them took the initiative to pay after being warned by the alliance parking lot, with an overall recovery rate of about 90%. (5) In the first month of operation, the parking lot recovered about RMB 28,400 of evaded fees. After deducting the system operation and maintenance costs, the net recovery was about RMB 25,000. The recovery rate increased significantly from less than 5% before deployment to about 90%.

[0056] In summary, the automatic parking fee evasion recovery system according to embodiments of the present invention includes an evasion event collection unit, a vehicle identity verification unit, a fee calculation unit, a multi-channel notification and reminder unit, an online recovery and payment unit, and an evasion blacklist and linkage control unit. It automatically initiates multi-angle capture using an evasion judgment signal as the trigger source, generating a structured evasion event record with a unique number, achieving zero manual intervention in event collection. Through interface with vehicle information query, it automatically completes vehicle owner identity mapping and designs a license plate error correction module to address recognition errors. Taking into account parking duration, current billing standards, and late payment penalty rules, it automatically generates a list of fees due and designs a rolling late payment penalty mechanism to urge timely payment. The reminder process is divided into four progressive steps, from friendly prompts to warnings, balancing recovery efficiency with vehicle owner rights protection. A dedicated payment page is provided, supporting mainstream payment methods, and records are automatically cleared after payment, achieving seamless fund recovery. A cross-parking evasion blacklist is established. The list-sharing mechanism enables early warning and pre-authorization of deductions for vehicles evading tolls, fundamentally increasing the cost of evasion. Blockchain-based evidence storage of evasion evidence and the entire recovery process meets evidence collection needs and provides a solid foundation for legal recovery. Thus, through a four-tiered, multi-channel collection strategy, the parking lot evasion recovery rate has increased from less than 5% to over 90%, effectively filling the coverage gaps of existing prevention measures. The entire process, from evasion incident collection, identity verification, and fee calculation to collection notification and payment verification, is automated, eliminating the need for manual intervention by parking lot managers and significantly reducing operating costs. Multi-angle high-definition capture and blockchain-based evidence storage construct a complete electronic evidence chain that can be legally accepted, providing solid support for recovery. The blacklist sharing mechanism significantly increases the cost of evasion for vehicles evading tolls, effectively deterring potential evasion and fundamentally reducing the willingness to evade tolls. The establishment of an appeal portal and manual review process protects the legitimate rights and interests of law-abiding car owners while efficiently recovering evasions.

[0057] To achieve the above embodiments, this invention proposes a method for automatically recovering unpaid parking fees, such as... Figure 6 As shown, the automatic collection method for parking fees evaded by vehicles includes the following steps: S101 receives the evasion determination signal and triggers evasion event collection based on the evasion determination signal to obtain evasion event records with unique numbers.

[0058] S102, based on the toll evasion incident record, query the corresponding identity information repository to obtain the vehicle owner's identity and contact information.

[0059] S103 automatically calculates parking fees based on parking duration and billing standards, and generates late payment penalties according to preset rules to obtain a list of fees payable.

[0060] S104, based on the vehicle owner's contact information and a list of fees due, sends a reminder to the vehicle owner for the first stage of payment and provides a payment channel to obtain the payment result.

[0061] S105: When the payment result is confirmed as paid, the record of the evasion event is cancelled and preserved as evidence. When the payment result is confirmed as unpaid, the list of fees payable is updated according to the time after the evasion occurred, so as to issue a formal reminder to the vehicle owner in the second stage. This process is repeated in a four-stage progressive manner to collect payment.

[0062] S106 If the payment result is still unpaid after four-tiered progressive reminders, the license plate will be added to the parking lot evasion blacklist, and the evasion incident record and evidence will be pushed to the networked parking lot alliance platform for cross-site interception and key supervision, as well as full-process data storage.

[0063] In other words, when the parking lot exit detection unit determines that a vehicle has evaded payment, it immediately triggers a high-definition camera to continuously capture images. The license plate recognition module outputs the license plate number, and the system generates a record of the evasion event, including the license plate number, entry time, evaded departure time, and parking lot number. Using the license plate number as an index, the system queries the vehicle owner information through the vehicle identity verification unit. If the query fails once, the license plate error correction module is activated to retry. If both queries fail, the record is transferred to the manual processing queue. The system automatically calculates the parking fee based on the parking duration and the current charging standard, and calculates the penalty according to preset rules, generating the amount due. Fee list; within 24 hours of the toll evasion incident, send an initial payment reminder to the vehicle owner, along with evidence links and online payment links; monitor payment status in real time, and once a successful payment confirmation is received, immediately cancel the toll evasion record and mark it as "settled," terminating the subsequent collection process; if payment is not received within the preset period, escalate collection measures according to the second, third, and fourth tiers; for toll evasion records that are overdue for more than 7 days, add the license plate to the toll evasion blacklist and push it to the alliance platform; record all toll evasion incidents and handling processes on the blockchain to ensure the legal validity of electronic evidence.

[0064] It should be noted that the system used in the automatic parking fee evasion recovery method of this embodiment is the aforementioned automatic parking fee evasion recovery system. Therefore, the explanation and description of the aforementioned embodiment of the automatic parking fee evasion recovery system also applies to the automatic parking fee evasion recovery method of this embodiment, and will not be repeated here.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] It should be noted that any reference signs placed between parentheses in the claims should not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0070] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0071] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0072] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0073] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0074] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0075] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms should not be construed as necessarily referring to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0076] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An automatic parking fee evasion recovery system, characterized in that, include: The toll evasion event collection unit is deployed at the parking lot exit passage to receive toll evasion judgment signals and trigger toll evasion event collection based on the toll evasion judgment signals to obtain toll evasion event records with unique numbers. The vehicle identity verification unit is communicatively connected to the toll evasion event collection unit. It queries the corresponding identity information repository based on the toll evasion event record to obtain the vehicle owner's identity and contact information. The fee calculation unit is connected to the fee evasion event collection unit and the parking fee billing system. It automatically calculates the parking fee based on the parking duration and the billing standard, and generates a penalty according to preset rules to obtain a list of fees payable. The multi-channel notification and collection unit is connected to the vehicle identity verification unit and the fee calculation unit, and sends collection notices to the owners of vehicles that have evaded tolls through multiple channels in accordance with a preset tiered strategy. The online collection and payment unit is communicatively connected to the multi-channel notification and collection unit and the fee calculation unit. It is used to provide a payment interface to the owner of the vehicle that evaded the toll and to automatically cancel the record of the toll evasion event after the payment is completed. The toll evasion blacklist and linkage control unit is connected to the online collection and payment unit and the parking management systems of each parking lot in the alliance. For vehicles that have failed to pay after the preset collection period, their license plates are added to the parking lot toll evasion blacklist, and the toll evasion event records and evidence are pushed to the networked parking lot alliance platform for cross-site interception and key supervision.

2. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The toll evasion event collection unit includes a trigger receiving module, a multi-angle capture module, a license plate recognition module, and an event record generation module; The trigger receiving module is communicatively connected to the anti-following toll evasion control system and is used to receive toll evasion judgment signals and trigger image capture. The multi-angle capture module includes at least three high-definition cameras, which are deployed at the front, side, and top of the exit passage to collect capture data of vehicles evading tolls. The license plate recognition module is used to identify the captured data in order to obtain the license plate recognition results of vehicles evading tolls; The event record generation module is used to encapsulate the captured data, license plate recognition results, vehicle entry time, evasion departure time, and parking lot identification code into a structured evasion event record with a unique number.

3. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The vehicle identity verification unit includes a first query module, a second query module, a license plate error correction module, and a manual review queue module; The first query module is connected to the parking lot historical payment database to query the vehicle owner's identity and contact information in the parking lot historical payment database based on the license plate recognition result. The second query module is connected to the networked parking lot alliance data communication connection so that when the query by the first query module fails, it can query the vehicle owner's identity and contact information in the historical parking records of all alliance parking lots based on the license plate recognition result; The license plate error correction module is used to perform fault-tolerant matching on the license plate recognition results when the first query module and the second query module fail to query, generate a candidate license plate list and verify them one by one. The manual review queue module is used to process toll evasion event records that failed to be queried. Based on the license plate information in the toll evasion event record, it retrieves the identity and contact information of the vehicle owner.

4. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The fee calculation unit includes a parking fee calculation module, a penalty calculation module, a late payment fee calculation module, and a fee list generation module; The parking fee calculation module is used to calculate the basic parking fee based on the vehicle's entry time and the time of evading payment. The penalty calculation module is used to calculate the penalty for evading payment according to preset rules; The late payment fee calculation module is used to calculate rolling late payment fees based on the overdue period. The fee list generation module is used to generate a detailed list of fees payable.

5. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The multi-channel notification and collection unit includes an SMS notification module, a WeChat message module, an email module, and a voice outbound call module. Each module is connected to a corresponding communication service interface and is used to send collection notices, including evidence of toll evasion, fee details, and online payment links, to the owners of vehicles that have evaded tolls according to a preset tiered strategy.

6. The automatic parking fee evasion recovery system as described in claim 5, characterized in that, The preset tiered strategy employs a four-tiered progressive collection method based on different times following different instances of toll evasion and different collection channels.

7. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The online recovery and payment unit includes an HTTPS payment page module, a multi-payment gateway integration module, a payment verification module, and an electronic voucher generation module; The HTTPS payment page module is used to provide a verifiable dedicated payment portal; The multi-payment gateway integration module is used to integrate with mainstream payment channels; The payment verification module is used to update the status of the evasion event record after the payment is completed; The electronic voucher generation module is used to issue payment vouchers.

8. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, The evasion blacklist and linkage control unit includes a blacklist database module, a network push module, an entry warning module, and a pre-authorization deduction module; The blacklist database module is used to store information on vehicles that evade tolls. The network push module is used to synchronize blacklist data to parking lots within the alliance; The entry warning module is used to send a notification to the administrator when a blacklisted vehicle enters the parking lot; The pre-authorization deduction module is used to initiate payment pre-authorization when blacklisted vehicles enter the venue, realizing cross-venue linkage management.

9. The automatic parking fee evasion recovery system as described in claim 1, characterized in that, It also includes a data archiving and evidence collection unit, which includes a data hash calculation module, an on-chain evidence storage docking module, an evidence storage record management module, and an evidence collection and export module. The data hash calculation module is used to calculate SHA-256 hash digests for each piece of data generated throughout the entire process of the fee evasion incident, ensuring data integrity. The on-chain evidence storage module is used to write the generated hash value along with the timestamp into the blockchain evidence storage platform to obtain an immutable on-chain transaction hash as evidence storage certificate. The evidence storage record management module is used to encrypt and manage the original data of fee evasion stored locally, set the retention period, and permanently retain the hash records on the chain. The evidence export module is used to export, according to the operator's request, the full process data hash of the fee evasion event, the on-chain transaction hash, and the verification link of the evidence storage platform, as proof documents.

10. A method for automatically recovering unpaid parking fees, characterized in that, The parking lot vehicle evasion automatic collection system applied to any one of claims 1-9, the method comprising the following steps: Receive the evasion determination signal and trigger the evasion event collection according to the evasion determination signal to obtain an evasion event record with a unique number; The vehicle owner's contact information is obtained by querying the corresponding identity information repository based on the fare evasion event record. The system automatically calculates parking fees based on parking duration and billing standards, and generates late payment penalties according to preset rules to obtain a list of fees payable. Based on the vehicle owner's contact information and the list of fees due, a reminder to the vehicle owner is sent to collect the payment in the first phase, and a payment channel is provided to obtain the payment result. When the payment result is confirmed as paid, the record of the evasion event is cancelled and preserved as evidence. When the payment result is confirmed as unpaid, the list of fees payable is updated according to the time after the evasion occurred, so as to send the vehicle owner a formal reminder for the second stage. This process is repeated in a four-stage progressive manner. If the payment result is still unpaid after a four-tiered progressive reminder process, the license plate will be added to the parking lot evasion blacklist, and the evasion incident record and evidence will be pushed to the networked parking lot alliance platform for cross-site interception and key supervision, as well as full-process data storage.

Images