A Smart Parking Payment Machine Combining Vision AI and Barrier-Free Design

Abstract

A smart parking fee settlement device combining vision AI technology and a barrier-free function according to an embodiment of the present invention comprises: a camera that captures the face of a user belonging to a first group or a second group who is in a vehicle exiting the parking lot and acquires face data; a license plate recognition device that recognizes the license plate number of the vehicle exiting the parking lot and acquires license plate number information and entry-exit information data of the vehicle exiting the parking lot; and a smart card reader that reads IC chip data of a card inserted to pay the final payment amount when a payment method is selected as a card through the payment method selection unit; wherein the first group is a group composed of regular pass holders who have registered a regular pass to enter and exit the parking lot of a facility on a fixed basis, and the second group is a group composed of users including socially vulnerable persons, including persons with disabilities, who use the parking lot in an unspecified manner, and the smart card reader may slide when the user in the vehicle exiting the parking lot is identified as a user of the second group.

Description

Technology Field

[0001] The present invention relates to a smart parking fee payment machine that combines vision AI technology and barrier-free functions. More specifically, it relates to a smart parking fee payment machine that combines vision AI technology, specifically deep learning-based facial recognition technology, with a sliding structure of a smart card reader for barrier-free functions, thereby maximizing the convenience of use for regular pass users and unspecified socially vulnerable people (including people with disabilities) using the parking lot. Background Technology

[0003] In modern urban spaces, unmanned information terminals (kiosks) function beyond mere automation devices as critical gateways for obtaining goods and services essential for survival. However, as these technological advancements are not provided equally to all citizens, the "digital divide"—where groups with physical or cognitive limitations, such as the disabled and the elderly, are marginalized in the digital environment—has intensified.

[0004] Barrier-free kiosks aim to be systems designed to technically remove these barriers, enabling all users to access information and use services without discrimination.

[0005] Reflecting these social demands, the government amended the Act on the Prohibition of Discrimination Against Persons with Disabilities and Remedies for Their Rights (hereinafter referred to as the Disability Discrimination Act), and accordingly, decided to impose an 'obligation to provide reasonable accommodations' for persons with disabilities on all business operators who install and operate kiosks.

[0006] In particular, phased mandatory implementation began on January 28, 2024, starting with public institutions and financial institutions, and after January 28, 2026, full legal compulsion will be imposed to replace all existing kiosks with products that have accessibility.

[0007] This legal environment goes beyond mere regulation and provides a technological turning point where advanced biometric authentication technologies, such as facial recognition, are establishing themselves as the core infrastructure of unmanned payment systems.

[0008] Meanwhile, the hardware specifications of barrier-free kiosks must accurately reflect the physical characteristics of people with disabilities. To allow wheelchair users to operate them while seated, the height of the control unit from the floor should be designed based on the average wheelchair user's eye level of 1,015 mm, and all operating parts should be placed within reach.

[0009] In addition, voice guidance devices for the visually impaired, Braille keypads, and screen magnification and high-contrast functions for the visually impaired must be integrated. The purpose is to provide innovative accessibility to users with disabilities or the elderly who have difficulty entering passwords by enabling payment without physical contact through facial recognition of the user using vision AI technology on these physical conditions. Prior art literature

[0011] Republic of Korea Published Patent Application No. 10-2026-0034802 (Published March 12, 2026) The problem to be solved

[0012] Accordingly, the present invention has been devised to solve the above-mentioned problems, and the objective of the present invention is to provide a smart parking fee payment machine that combines Vision AI technology and barrier-free functions by combining Vision AI technology, specifically deep learning-based facial recognition technology, with a sliding structure of a smart card reader for barrier-free functions, thereby maximizing the convenience of use for regular pass users and unspecified socially vulnerable people (including people with disabilities) using the parking lot.

[0013] However, the technical problems to be solved by the present invention are not limited to those mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art to which the present invention belongs from the description below. means of solving the problem

[0015] A smart parking fee settlement device combining vision AI technology and a barrier-free function according to an embodiment of the present invention for achieving the above-mentioned purpose comprises: a camera that captures the face of a user belonging to a first group or a second group who is in a vehicle exiting the parking lot and acquires face data; a license plate recognition device that recognizes the license plate number of the vehicle exiting the parking lot and acquires license plate number information and entry-exit information data of the vehicle exiting the parking lot; and a smart card reader that reads IC chip data of a card inserted to pay the final payment amount when a payment method is selected as a card through the payment method selection unit; wherein the first group is a group composed of regular pass holders who have registered a regular pass to enter and exit the parking lot of a facility on a fixed basis, and the second group is a group composed of users including socially vulnerable persons, including persons with disabilities, who use the parking lot in an unspecified manner, and the smart card reader may slide when the user in the vehicle exiting the parking lot is identified as a user of the second group.

[0016] In addition, the smart card reader may be designed to be advanced in advance to an arrival position outside the smart parking fee payment machine through sliding movement from an initial position while the exiting vehicle approaches the smart parking fee payment machine.

[0017] And the smart parking fee settlement machine comprises: a database storing user information of the first and second groups including face hashes of the users of the first and second groups; and a PC that vectorizes the user's face data to extract facial feature vector data, which is feature vector data, and then converts the feature vector data into key values. and a server that identifies whether a user boarding the vehicle being released belongs to a first group or a second group by comparing the face data converted with the key value with the face hash stored in the database; wherein the user information comprises: basic identification information composed of a user identifier (User ID) including terminal device information (UUID) for distinguishing the user, the user's name, a linked phone number, and a vehicle number; linked card information including a card token issued by a card company, card issuer information, and the card's activation status; certificate information regarding a document proving a social status to determine whether the user is a socially vulnerable person (including a person with a disability); and season ticket information to determine whether the user is a season ticket registrant; and biometric and security information composed of an encrypted face hash (not the original face image of the user), the user's facial feature vector, and a security identifier (CI / DI) composed of linkage information (CI) and duplicate registration confirmation information (DI) obtained by encrypting the user's 13-digit resident registration number provided by the card company into 88 bytes. It is possible.

[0018] In addition, the PC can run a vision AI algorithm that identifies the position and size of the actual face within the image frame of the face data, distinguishes the background from the user's face, and performs logic to identify the user attempting to settle the parking fee when multiple people occur.

[0019] Furthermore, the above-mentioned vision AI algorithm can extract consistent data regardless of the user's posture or angle by normalizing a side face or a tilted face within a face image into a frontal image through landmark-based correction technology.

[0020] In addition, the vision AI algorithm can extract facial feature points (Features Vector), which are feature point vector data, by converting the normalized face image into N-dimensional numerical data based on the eye spacing, nose height, and lip curvature.

[0021] A smart parking fee payment machine combining vision AI technology and barrier-free functions, characterized in that the server identifies the user based on calculating that the user's identity matches when the distance value calculated according to the facial feature point extraction formula according to the following formula is below a threshold.

[0022]

[0023] In the above formula, x is face data acquired in real time from the camera, and y is a face hash registered in the database.

[0024] In addition, the server can replace the face data converted into the key value with the value of the linkage information (CI) stored in the database, and call a payment method registered with a card company based on the replaced CI value.

[0025] And the PC processes the vehicle number information and entry-exit information data into payment information packets to be transmitted to the server, and the server compares the vehicle number information with the vehicle number stored in the database to identify whether the exiting vehicle is a vehicle registered with a regular pass owned by a user of the first group or a vehicle subject to general fee settlement owned by a user of the second group.

[0026] In addition, the PC processes the IC chip data of the card read by the smart card reader into a payment information packet to be transmitted to the server based on converting the data into a one-time code (Token) compliant with the IC card standard security protocol and encrypting the data, and the server compares the one-time code (Token) with the card token stored in the database to determine whether the user who is the owner of the card and is aboard the vehicle being released matches the user who received the card inserted into the smart card reader.

[0027] In addition, to prevent fraudulent use of lost or stolen cards, the server may simultaneously perform multi-factor authentication (MFA) in the background using the user's mobile phone number and device information (UUID) stored in the database, while comparing the one-time code (Token) with the card token stored in the database.

[0028] In addition, when the user who is the owner of the card and is in the vehicle being expelled matches the user who received the card inserted into the smart card reader, the server calculates the parking lot usage time of the vehicle being expelled based on the entry-exit information data processed into a payment information packet from the PC, calculates the final payment amount for parking fee settlement, and transmits payment request data of the final payment amount to the card company's host computer via the PG company (payment processing company).

[0029] And the above card company may approve the payment of the final payment amount for parking fee settlement after finally verifying the limit and whether the above card is lost.

[0030] Additionally, the smart parking fee settlement device may further include: a payment method selection unit comprising a display that provides an interface for the user to select a payment method for settling the parking fee of an exiting vehicle and a receipt for settling the parking fee; a receipt output unit that outputs (issues) a paper receipt for the final payment amount settled for parking fee settlement when the user selects a paper receipt for settling the parking fee through the payment method selection unit; and a contactless sensor that operates when the user selects a paper receipt for settling the parking fee through the payment method selection unit.

[0031] And the receipt output unit can be operated by the PC when the contactless sensor detects that a part of the body of a user riding in the vehicle being discharged approaches, generates a receipt output signal, and transmits it to the PC.

[0032] In addition, the receipt output unit may omit the output of a paper receipt for the settlement of parking fees when the user selects an electronic receipt for the settlement of parking fees through the payment method selection unit.

[0033] And the smart parking fee settlement device may include a message engine to send the electronic receipt to the user's terminal when the user selects the receipt for the settlement of parking fees as an electronic receipt through the payment method selection unit.

[0034] Additionally, the message engine retrieves the user's mobile phone number from the database, calls a pre-approved notification template to utilize Kakao Notification Talk as the primary means, constructs a JSON packet by inserting informational data such as the payment amount, business name, date and time, and remaining limit—which are actual transaction data—into the variable area of ​​the said notification template, and the JSON packet can be sent to the user's terminal in the form of the Kakao Notification Talk.

[0035] And, if the Kakao Notification Talk is not acknowledged by the user terminal within 5 seconds or a transmission failure (Fail) response occurs, the message engine immediately sends a JSON packet bypass via SMS or LMS, and the JSON packet can be sent to the user terminal in the form of a text message. Effects of the invention

[0037] The present invention can maximize the convenience of use for regular pass users and unspecified socially vulnerable people (including people with disabilities) by identifying users based on deep learning-based facial recognition technology, which is a Vision AI technology, thereby preventing fraudulent use of lost or stolen cards at the source.

[0038] In addition, the present invention can eliminate physical barriers present in existing kiosks based on the sliding structure of a smart card reader for barrier-free functionality, thereby ensuring information accessibility for unspecified socially vulnerable groups (including people with disabilities) and simultaneously resolving digital exclusion.

[0039] In addition, the present invention can reduce resource waste caused by paper receipts by sending an electronic receipt for parking fee settlement to the user's terminal.

[0040] However, the effects obtainable from the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description below. Brief explanation of the drawing

[0042] Figure 1 is a diagram illustrating the problems of a conventional parking fee payment machine. FIG. 2 is a drawing illustrating the external structure of a smart parking fee settlement device that combines vision AI technology and barrier-free functions according to one embodiment of the present invention. FIG. 3 is a drawing illustrating additional components of a smart parking fee settlement machine combined with vision AI technology and barrier-free functions according to one embodiment of the present invention. FIGS. 4 to 9 are drawings for explaining the process of a card payment method performed by a smart parking fee settlement machine that combines vision AI technology and a barrier-free function according to an embodiment of the present invention. FIG. 10 is a diagram illustrating an automatic payment method for a smart parking fee settlement machine that combines vision AI technology and barrier-free functions according to an embodiment of the present invention. Specific details for implementing the invention

[0043] Hereinafter, embodiments of the present invention are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present invention. However, since the description of the present invention is merely an example for structural or functional explanation, the scope of the present invention should not be interpreted as being limited by the embodiments described in the text. That is, since the embodiments are subject to various modifications and may take various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical concept. Furthermore, the objectives or effects presented in the present invention do not imply that a specific embodiment must include all of them or only such effects; therefore, the scope of the present invention should not be understood as being limited by them.

[0044] The meaning of the terms described in this invention should be understood as follows.

[0045] Terms such as "first" and "second" are intended to distinguish one component from another, and the scope of rights shall not be limited by these terms. For example, the first component may be named the second component, and similarly, the second component may be named the first component. When a component is referred to as being "connected" to another component, it should be understood that it may be directly connected to that other component, or that there may be other components in between. Conversely, when a component is referred to as being "directly connected" to another component, it should be understood that there are no other components in between. Meanwhile, other expressions describing the relationship between components, such as "between" and "exactly between," or "adjacent to" and "directly adjacent to," shall be interpreted in the same manner.

[0046] A singular expression should be understood to include a plural expression unless the context clearly indicates otherwise, and terms such as "include" or "have" are intended to specify the existence of the set-up features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood not to preclude the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0047] Unless otherwise defined, all terms used herein have the same meaning as generally understood by those skilled in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having meanings consistent with the context of the relevant technology and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in this invention.

[0049] Inconveniences of conventional parking fee payment machines and card reader configuration

[0050] Figure 1 is a diagram illustrating the problems of a conventional parking fee payment machine.

[0051] In the case of conventional parking fee payment machines installed in parking lots or facilities, unspecified users primarily utilize payment machines installed at exit locations for the purpose of paying fees in advance.

[0052] At this time, while the parking fee payment machines installed at the exit location show different forms depending on the environment, most users use the payment machine by approaching it; however, among users in the exiting vehicle, socially vulnerable individuals (including people with disabilities) frequently experience inconvenience in using it depending on the distance. In particular, as illustrated in (A) to (C) of FIG. 1, various inconveniences exist depending on physical factors, the specifications of the user's vehicle, and spatial factors regarding the installation location of the payment machine in the exit environment.

[0054] Components of a smart parking payment machine

[0055] A smart parking fee settlement device (100) combined with vision AI technology and barrier-free functions according to one embodiment of the present invention may be a settlement device that maximizes convenience for regular pass users and unspecified socially vulnerable people (including people with disabilities) using the parking lot by combining deep learning-based facial recognition technology, which is vision AI technology, and a sliding structure of a smart card reader for barrier-free functions.

[0056] Hereinafter, a smart parking fee settlement device (100) according to one embodiment of the present invention will be described in detail with reference to the attached drawings.

[0057] FIG. 2 is a drawing illustrating the external structure of a smart parking fee settlement device combined with vision AI technology and barrier-free functions according to one embodiment of the present invention, and FIG. 3 is a drawing illustrating additional components of a smart parking fee settlement device combined with vision AI technology and barrier-free functions according to one embodiment of the present invention.

[0058] Referring to FIG. 2, a smart parking fee payment machine (100) according to one embodiment of the present invention may include a camera (110), a payment method selection unit (120), a discount voucher insertion unit (130), a smart card reader (140), a receipt output unit (150), a contactless sensor (160), a call button (170), and a speaker (180).

[0059] Referring to FIG. 3, a smart parking fee settlement device (100) according to one embodiment of the present invention may further include a database (191), a PC (193), and a server (195) in addition to the components described above.

[0060] In one embodiment, the camera (110) can obtain face data by photographing the face of a user inside the exiting vehicle when the exiting vehicle stops by a barrier (not shown) connected to a smart parking fee payment machine (100).

[0061] In one embodiment, the user may belong to a first group or a second group, which are two groups, and user information of the first and second groups may be stored in a database (191).

[0062] At this time, the first group may be a group composed of regular pass holders who have registered for a regular pass to enter and exit the parking lot of the facility (or institution) on a fixed basis.

[0063] In addition, the second group may be a group composed of users who use the parking lot of a facility (or institution) indiscriminately, and users who are socially vulnerable (including persons with disabilities) and who have been issued a certificate proving their social status (e.g., a disability certificate, etc.) to determine whether they are socially vulnerable (including persons with disabilities).

[0064] And when users of the first and second groups issue or register a card (e.g., credit card, welfare card, etc.) used as a payment method for settling parking fees, the facial data information (ekey) linked to the payment method (card) may be a cardholder registered with the PG company (payment processing company) system or the card company.

[0065] In one embodiment, user information may include basic identification information consisting of a user identifier (User ID) containing device information (UUID) of a terminal for distinguishing users, the user's name, mobile phone number (Linked Phone), and vehicle number.

[0066] In addition, user information may include payment and service information consisting of linked card information including a card token issued by a card company, card issuer information, and the activation status of the card, certificate information regarding a certificate proving a social status to determine whether the user is a socially vulnerable person (including a person with a disability), and commuter pass information to determine whether the user is a commuter pass registrant.

[0067] And user information may include biometric and security information composed of an encrypted face hash rather than the original image of the user's face, a user's facial feature vector which is face data converted into a key value by vectorizing hundreds of points into N-dimensional numerical data based on the spacing of the eyes, the height of the nose, and the curvature of the lips analyzed by a vision AI algorithm, and a security identifier (CI / DI) composed of a linkage information (CI) and duplicate registration confirmation information (DI) which are 88 bytes of the user's resident registration number provided by the card company encrypted into 13 digits.

[0068] Here, the linkage information (CI) and duplicate registration confirmation information (DI) can be generated during the card issuance process of a card company that scans a user's ID photo based on OCR technology and verifies the facts by comparing it with the actual face, and the data included in the user information can be mapped 1:1 with the linkage information (CI) and stored in a database (191).

[0069] In one embodiment, when the smart parking fee payment device (100) converts face data into a key value at the PC (193), it can identify whether the user who boarded the exiting vehicle in which the face data was captured belongs to the first group or the second group by comparing the face data converted into a key value at the server (195) with the face hash stored in the database (191).

[0070] Additionally, when user identification is completed at the server (195), the smart parking fee payment device (100) can replace the face data (Features Vector) converted into a key value with the value of the linked information (CI) stored in pairs in the database (191), and call the payment method registered with the card company based on the replaced CI value.

[0071] Additionally, although not shown in the drawing, the smart parking fee payment device (100) may have a QR code (not shown) assigned to it attached to one side so that the QR code can be provided to a user of the first group or a user of the second group.

[0072] At this time, the user can photograph the QR code attached to one side of the smart parking fee payment machine (100) using a smartphone (hereinafter referred to as "terminal") each equipped with.

[0073] Additionally, when a user scans a QR code of a QR code scanner (120) through a terminal, the smart parking fee payment machine (100) processes the user's mobile phone number assigned to the terminal that scanned the QR code into a payment information packet to be transmitted to the server (195) on the PC (193), and compares the processed user's mobile phone number with the mobile phone number stored in the database (191) on the server (195) to identify whether the user who boarded the exiting vehicle that scanned the QR code belongs to the first group or the second group.

[0074] In this way, the smart parking fee settlement device (100) can perform user identification for settling parking fees for exiting vehicles using face data obtained from the camera (110) or the mobile phone number of the user who took a picture of the QR code.

[0075] In one embodiment, the payment method selection unit (120) may include a display that provides an interface to allow a user to select a payment method for settling the parking fee of a vehicle being expelled and a receipt for settling the parking fee.

[0076] Additionally, the camera (110) can photograph the face of the user who has boarded the vehicle when a payment method is selected as an input signal is received, such as when the user touches the display of the payment method selection unit (120).

[0077] In one embodiment, the discount coupon insertion unit (130) may insert a discount coupon to reduce the final payment amount before payment approval for settling the parking fee of the exiting vehicle after a payment method is selected through the payment method selection unit (120).

[0078] In this case, the discount voucher may be used by users of Group 2 who use the parking lot in an unspecified manner, rather than users of Group 1 who are registered regular pass holders.

[0079] In one embodiment, the smart card reader (140) may include an input port capable of inserting a card to pay the final payment amount when the user selects a payment method as a card (e.g., credit card, welfare card, etc.) through the payment method selection unit (120).

[0080] Additionally, the smart card reader (140) can read the IC chip data of the card so that the parking fee of the exiting vehicle is settled through the card inserted into the input port, and can transmit the IC chip data of the card to the PC (193) so that the parking fee of the exiting vehicle is settled through the card.

[0081] Here, since it is a common technique for a smart card reader (140) to read IC chip data of a card, the explanation for this will be omitted for convenience.

[0082] And the smart parking fee payment machine (100) processes the IC chip data of the card read by the smart card reader (140) on the PC (193) into a one-time code (Token) that complies with the IC card standard security protocol and encrypts the data, and processes the IC chip data of the card into a payment information packet to be transmitted to the server (195), and the server (195) compares the one-time code (Token) with the card token stored in the database (191) in a state mapped to the face data converted into a key value, and determines whether the user who is the owner of the card and is in the vehicle being expelled matches the user who received the card inserted into the smart card reader (140).

[0083] Meanwhile, the smart parking fee payment device (100) can be linked with a vehicle number recognition device (not shown) not shown in the drawing, and can receive entry-exit information data including the recognized vehicle number and entry and exit time information from the vehicle number recognition device.

[0084] Here, a license plate recognition device (not shown) can recognize the license plate of a vehicle exiting the parking lot while the vehicle exiting the parking lot approaches the smart parking fee payment device (100) before stopping by the barrier, generate license plate information, and at the same time acquire the entry-exit information data of the vehicle exiting the parking lot and transmit the recognized license plate information and the entry-exit information data to a PC (193).

[0085] Additionally, the smart parking fee payment device (100) processes vehicle number information and entry / exit information data from the PC (193) into payment information packets to be transmitted to the server (195), and the server (195) compares the processed vehicle number information with the vehicle number stored in the database (191) to identify whether the exiting vehicle is a vehicle registered with a regular pass owned by a user of the first group or a vehicle subject to general fee settlement owned by a user of the second group.

[0086] And the server (195) can calculate the final payment amount for parking fee settlement by calculating the parking lot usage time of the exiting vehicle based on processed entry-exit information data when the user who is the owner of the card and is in the exiting vehicle matches the user who received the card inserted into the smart card reader (140), and when a discount coupon is inserted into the discount coupon insertion part (130), it can deduct the amount of the discount coupon from the final payment amount and transmit payment request data of the final payment amount to the card company's host computer through the PG company (payment agency).

[0087] In this case, the card company may approve the payment of the final amount for parking fee settlement after finally verifying the card limit and whether it is lost.

[0088] In one embodiment, when a user who is in a vehicle identified by a vehicle number from a server (195) is identified as a user of the second group, the smart card reader (140) can be advanced from an initial position shown in FIG. 4 to an arrival position outside the smart parking fee payment machine (100) through sliding movement as shown in FIG. 5 and FIG. 6 while the vehicle is approaching the location of the smart parking fee payment machine (100).

[0089] This is because users in Group 1 can complete parking settlement by having the final payment amount deducted from the season pass price, without having to make a separate card payment.

[0090] Meanwhile, if the smart card reader (140) suddenly slides when a user reaches out to insert a card into the slot to pay the parking fee after the vehicle exiting the parking lot has stopped and approached the smart parking fee payment machine (100), it may cause safety accidents such as colliding with the user's hand depending on the sliding speed and distance.

[0091] The sliding speed and distance of the smart card reader (140) are ambiguous in terms of the criteria for when the exiting vehicle arrives at the location of the smart parking fee payment machine (100), so it is necessary to consider the specifications and shape of the exiting vehicle from the installation stage of the smart parking fee payment machine (100).

[0092] In one embodiment, the sliding speed of the smart card reader (140) may be designed so that when the exiting vehicle is identified as a normal exiting vehicle based on the vehicle number recognition result of the vehicle number recognition device (not shown), the exiting vehicle reaches the location of the smart parking fee payment device (100), the speed is derived in advance from the initial position to the arrival position outside the smart parking fee payment device (100).

[0093] In this case, the user of the second group recognizes the smart card reader (140) that has been extended outward from the smart parking fee payment machine (100), and can easily insert a card for settling parking fees into the input port of the smart card reader (140).

[0094] In this way, the smart card reader (140) can provide a barrier-free function that allows users of the second group to easily settle the parking fee while inside the vehicle being discharged, as the smart card reader (140) is discharged outside the smart parking fee payment machine (100) before the vehicle being discharged arrives at the location of the smart parking fee payment machine (100).

[0095] In one embodiment, the smart card reader (140) may be subject to environmental factors (e.g., rain, snow, wind, etc.) when the smart parking fee payment machine (100) is installed outdoors without a ceiling, and to respond to these environmental factors, a cover may be provided on the upper part of the card slot to block rain, snow, etc. from entering the slot.

[0096] In one embodiment, the receipt output unit (150) can output (issue) a paper receipt for the final payment amount paid for the parking fee settlement when a user who has boarded the vehicle selects a paper receipt for the parking fee settlement through the payment method selection unit (120).

[0097] In this case, the user of the second group may be provided with a paper receipt for the final payment amount settled for the parking fee of the exiting vehicle.

[0098] Additionally, the receipt output unit (150) may be equipped with a receipt curling prevention guide to prevent the paper receipt output from the output unit from curling inward or getting caught.

[0099] And when a user who has boarded the vehicle being expelled selects an electronic receipt for the settlement of parking fees through the payment method selection unit (120), the electronic receipt for the final payment amount settled for the parking fee settlement is transmitted to the terminal equipped by the user, thereby omitting the printing of a paper receipt for the parking fee settlement even after the settlement of parking fees is completed.

[0100] In one embodiment, the non-contact sensor (160) may be a sensor that operates when a user who has boarded the vehicle selects a paper receipt for the settlement of parking fees through the payment method selection unit (120).

[0101] Additionally, when the non-contact sensor (160) is activated, it can generate a receipt output signal and transmit it to the PC (193) when it detects that a part of the body of a user riding in the vehicle is approaching within a specific range of the surroundings, and the PC (193), which is the control unit, can operate the receipt output unit (150) when it receives the receipt output signal.

[0102] That is, the receipt output unit (150) of one embodiment can operate to output a paper receipt when a non-contact sensor (160) generates a receipt output signal.

[0103] In one embodiment, the call button (170) may be a button that generates a call signal to call the manager of the smart parking fee settlement device (100) in the event that an abnormal situation occurs where parking fee settlement is impossible due to the smart card reader (140) failing to read card IC chip data or a malfunction of the blocking bar (not shown) or receipt output unit (150) of the smart parking fee settlement device (100).

[0104] Additionally, when a call signal is generated from the call button (170), the smart parking fee payment device (100) can convert the call signal into a digital signal at the PC (193) and transmit it to the server (195), and the server (195) can generate a notification based on the call signal converted into a digital signal and transmit it to a terminal (e.g., smartphone) equipped by an administrator.

[0105] In this case, the administrator can detect that an abnormal situation has occurred in the smart parking fee settlement machine (100) based on the notification received from the server (195) through the terminal.

[0106] At this time, the notification may be output as a voice signal from the manager's terminal or delivered to the manager's terminal in the form of a message to inform that a manager call has occurred from the smart parking fee settlement machine (100).

[0107] In one embodiment, the speaker (180) acts as a speakerphone that outputs sound for auditory feedback (e.g., success in face recognition, request for card insertion, payment completion, etc.) regarding the progress of the parking fee settlement when a user in the exiting vehicle uses the smart parking fee settlement device (100) to settle the parking fee, thereby providing a barrier-free function that allows the user to easily settle the parking fee while in the exiting vehicle.

[0108] Additionally, the speaker (180) may also function as a speakerphone for communication between the user and the manager of the vehicle being dispatched when a call signal is generated from the call button (170).

[0109] In this case, the manager can perform a process to resolve an abnormal situation that occurred in the smart parking fee payment machine (100) through communication with the user based on the speaker (180) (e.g., calling a worker, resetting the smart card reader, etc.).

[0110] In one embodiment, the database (191) may be a storage that stores user information of the first and second groups described above.

[0111] In one embodiment, the PC (193) may be a control unit for processing data obtained from the smart parking fee settlement machine (100).

[0112] This PC (193) can run a vision AI algorithm that identifies the location and size of the actual face within an image frame of face data generated from a camera (110), distinguishes the background from the user's face, and performs logic to identify the user attempting to settle the parking fee when multiple people occur.

[0113] In addition, the vision AI algorithm of the PC (193) can extract consistent data regardless of the user's posture or angle by normalizing side faces or tilted faces within the face image into front images through landmark-based correction technology.

[0114] And the vision AI algorithm of the PC (193) can vectorize hundreds of points such as the spacing of the eyes, the height of the nose, and the curvature of the lips in a normalized face image and convert them into N-dimensional numerical data to extract facial feature points (Features Vector), which are feature point vector data. In order to secure the extracted feature point vector data (facial feature points), the feature point vector data can be encrypted and converted into a key value.

[0115] At this time, the facial feature point extraction formula can identify the user by calculating the identity matching probability based on Euclidean distance or cosine similarity as shown in [Equation 1] below.

[0116]

[0117] In the above [Equation 1], x is shooting data (face data) acquired in real time from the camera (110), and y is reference data (face hash) registered in the database (191). When the calculated distance value is below a threshold, the server (195) can identify the user based on calculating that the user's identity matches.

[0118] That is, the server (195) can identify whether the user who boarded the vehicle belongs to the first group or the second group by comparing the face data converted into a key value with the face hash stored in the database (191) and when the value of [Equation 1] is below the threshold.

[0119] Additionally, the server (195) compares the one-time code (Token) with the card token stored in the database (191) in a mapped state to the face data converted into a key value to determine whether the user who is the owner of the card and is in the vehicle being released matches the user who received the card inserted into the smart card reader (140). At the same time as this process, multi-factor authentication (MFA) using the user's mobile phone number and device information (UUID) stored in the database (191) is performed in the background, thereby preventing fraudulent use of lost or stolen cards.

[0121] Card payment method

[0122] Below, the card payment methods (S1~S6) of the smart parking fee settlement machine (100) described above will be explained in detail based on the exit of a vehicle owned by a user of the second group.

[0123] FIGS. 4 to 9 are drawings for explaining the process of a card payment method performed by a smart parking fee settlement machine that combines vision AI technology and a barrier-free function according to an embodiment of the present invention.

[0124] Referring to FIGS. 4 to 9, a card payment method (S1 to S6) according to one embodiment of the present invention can be performed when a user who has boarded a vehicle selects a payment method as a card (e.g., credit card, welfare card, etc.) through a payment method selection unit (120).

[0125] First, the license plate recognition device (not shown) can recognize the license plate number of the exiting vehicle and generate license plate number information while the exiting vehicle approaches the location of the smart parking fee payment device (100) before the user who is in the exiting vehicle selects a payment method as a card (e.g., credit card, welfare card, etc.) through the payment method selection unit (120), and at the same time acquire the entry-exit information data of the exiting vehicle and transmit the recognized license plate number information and the entry-exit information data to the PC (193).

[0126] Afterwards, the smart parking fee payment device (100) processes vehicle number information and entry-exit information data from the PC (193) into a payment information packet to be transmitted to the server (195), and the server (195) compares the processed vehicle number information with the vehicle number stored in the database (191) to identify whether the exiting vehicle is a vehicle registered with a regular pass owned by a user of the first group or a vehicle subject to general fee settlement owned by a user of the second group.

[0127] At this time, if the vehicle being discharged is identified by the server (195) through the vehicle number as a general fee settlement target vehicle owned by a user of the second group, the smart card reader (140) may start sliding toward the outside of the smart parking fee settlement device (100) from the initial position of FIG. 4 before the user boarding the vehicle being discharged selects a payment method as a card through the payment method selection unit (120) (S1), and may be driven to the destination position on the outside of the smart parking fee settlement device (100) in the order of FIG. 5 and FIG. 6 according to the sliding movement (S2, S3).

[0128] Afterwards, the exiting vehicle reaches the location of the smart parking fee payment machine (100) for parking fee settlement, and the user in the exiting vehicle can select a card as a payment method to settle the parking fee through the payment method selection unit (120) by touching the display of the payment method selection unit (120).

[0129] Afterwards, the camera (110) can photograph the face of a user who has boarded the vehicle and acquire face data, and then transmit it to the PC (193). At this time, the speaker (180) can output a sound that induces the user to look at the lens of the camera (111).

[0130] Subsequently, the smart parking fee payment machine (100) can convert face data obtained from the camera (110) into a key value by running a vision AI algorithm on the PC (193), and on the server (195), based on the facial feature point extraction formula of [Equation 1] above, compare the face data converted into a key value with the face hash stored in the database (191) to identify whether the user who boarded the exiting vehicle belongs to the second group.

[0131] At this time, if the user's face data converted into a key value matches the face hash, the speaker (180) can output a sound inducing the user who is in the vehicle identified as a user of the second group to insert a card into the slot of the smart card reader (140), and the user who is in the vehicle can insert a card into the slot of the smart card reader (140).

[0132] Afterwards, the smart card reader (140) can read the IC chip data of the card inserted into the slot and can transmit the IC chip data of the card to the PC (193) so that the parking fee of the exiting vehicle is settled through the card.

[0133] Subsequently, the smart parking fee payment machine (100) processes the IC chip data of the card read by the smart card reader (140) on the PC (193) into a one-time code (Token) that complies with the IC card standard security protocol and encrypts the data, and processes the IC chip data of the card into a payment information packet to be transmitted to the server (195), and the server (195) compares the one-time code (Token) with the card token stored in the database (191) in a state mapped to the face data converted into a key value, and determines whether the user of the second group who is the owner of the card and is in the exit vehicle matches the user who received the card inserted into the smart card reader (140).

[0134] At this time, if the user of the second group who is the owner of the card and is in the vehicle being expelled matches the user who received the card inserted into the smart card reader (140), the server (195) can calculate the parking lot usage time of the vehicle being expelled based on the processed entry-exit information data and calculate the final payment amount for the settlement of parking fees.

[0135] Additionally, when a discount coupon is inserted into the discount coupon insertion unit (130), the server (195) can deduct the amount of the discount coupon from the final payment amount and can transmit payment request data for the final payment amount to the card company's host computer via the PG company (payment agency).

[0136] Afterward, the card company can finally check the limit and whether the card inserted into the smart card reader (140) is lost, and then approve the payment of the final payment amount for the parking fee settlement, and the parking fee settlement can be completed.

[0137] Afterwards, when the parking fee settlement is completed, the speaker (180) can output a sound inducing the user to withdraw the card from the slot of the smart card reader (140), and when the card withdrawal from the slot of the smart card reader (140) is completed, the PC (193) controls the operation of the smart card reader (140) so that it slides from the arrival position toward the initial position, which is the inside of the smart parking fee settlement machine (100), as shown in FIG. 7 (S4).

[0138] At this time, if a user who has boarded the vehicle being expelled selects a paper receipt for the settlement of parking fees through the payment method selection unit (120), the non-contact sensor (160) can generate a receipt output signal and transmit it to the PC (193) when it detects that a part of the user's body who has boarded the vehicle being expelled approaches within a specific range of the surroundings when it is operated as shown in FIG. 8 (S5).

[0139] Afterwards, the receipt output unit (150) can operate based on a receipt output signal to output a paper receipt, as shown in FIG. 9 (S6).

[0141] Automatic payment method for smart parking fee payment machines

[0142] Below, we will explain in detail the automatic payment method for the final payment amount for the parking fee settlement of the smart parking fee settlement machine (100) described above.

[0143] FIG. 10 is a diagram illustrating an automatic payment method for a smart parking fee settlement machine that combines vision AI technology and barrier-free functions according to an embodiment of the present invention.

[0144] Referring to FIG. 10, the smart parking fee settlement device (100) can sequentially proceed with a data acquisition step, a data conversion step, a data matching step, and an authentication and approval step so that the final payment amount for parking fee settlement is automatically paid.

[0145] The data acquisition step may be a step of acquiring data to identify the user.

[0146] In the data acquisition step, the smart parking fee payment device (100) can acquire face data from the camera (110), the user's mobile phone number from which the user has captured a QR code through a terminal, and vehicle number information and entry / exit information data generated by the vehicle number recognition device, and then store them in the database (191).

[0147] The data conversion step may be a step of converting face data into a key value and, at the same time, processing the data obtained in the data acquisition step into a payment information packet for parking fee settlement.

[0148] In the data conversion step, the PC (193) can run a vision AI algorithm to normalize the face data obtained from the camera (110), and then vectorize hundreds of points such as the spacing of the eyes, the height of the nose, and the curvature of the lips in the face image into N-dimensional numerical data to extract facial feature points (Features Vector), which are feature point vector data. For security of the extracted feature point vector data (facial feature points), the feature point vector data can be encrypted and converted into a key value.

[0149] Additionally, the PC (193) can process the user's mobile phone number assigned to the terminal that captured the QR code into a payment information packet to be transmitted to the server (195).

[0150] And the PC (193) can process the vehicle number information and entry / exit information data generated from the vehicle number recognition device into payment information packets to be transmitted to the server (195).

[0151] Additionally, the PC (193) can process the IC chip data of the card read by the smart card reader (140) into a payment information packet to be transmitted to the server (195) based on converting the IC chip data of the card into a one-time code (Token) that complies with the IC card standard security protocol and encrypting the data.

[0152] The data matching step may be a step that identifies the user by comparing the data that has passed through the data transformation step with user information.

[0153] In the data matching step, the server (195) can compare the face data converted into a key value with the face hash stored in the database (191) to identify whether the user who boarded the vehicle in which the face data was taken belongs to the first group or the second group.

[0154] Additionally, the server (195) can identify whether the user who boarded the vehicle that scanned the QR code belongs to the first group or the second group by comparing the user's mobile phone number processed into a payment information packet with the mobile phone number stored in the database (191).

[0155] And the server (195) can identify whether the vehicle being released is a vehicle registered with a regular pass owned by a user of the first group or a vehicle subject to general fee settlement owned by a user of the second group by comparing the vehicle number information processed into a payment information packet with the vehicle number stored in the database (191).

[0156] Additionally, the server (195) can compare the one-time code (Token) converted from the PC (193) with the card token stored in the database (191) in a state mapped to the face data converted into a key value, and determine whether the user who is the owner of the card and is in the vehicle being released matches the user who received the card inserted into the smart card reader (140).

[0157] The authentication and approval stage may be a stage where parking fee settlement is performed for users identified in the data matching stage, and parking fee settlement for users of the first group may be performed through a regular pass, and parking fee settlement for users of the second group may be performed through a card inserted into a smart card reader (140).

[0158] Below, I will explain the process of the authentication and approval steps based on the second group of users settling parking fees.

[0159] In the authentication and approval stage, the server (195) replaces the face data (Features Vector) converted into a key value with the value of the linkage information (CI) stored as a pair in the database (191), and can call the payment method registered with the card company based on the replaced CI value.

[0160] At this time, the card company can approve the payment of the final payment amount for parking fee settlement after finally confirming the limit and whether the card inserted into the smart card reader (140), which is a payment method, is lost.

[0161] Meanwhile, the smart parking fee settlement device (100) may include a message engine to send an electronic receipt to the user's terminal when the user selects an electronic receipt for the settlement of parking fees through the payment method selection unit (120).

[0162] In one embodiment, the message engine retrieves the user's mobile phone number mapped to the linkage information (CI) from the database (191), calls a pre-approved notification template to use Kakao Notification Talk as the primary means, and can construct a JSON packet by inserting informational data such as the payment amount, business name, date and time, and remaining limit, which are actual transaction data, into the variable area ({amount}, {shop_name}, etc.) of the notification template.

[0163] The JSON packet configured in this way can be linked with the official messaging dealer's API and sent to the user's device in the form of a KakaoTalk notification.

[0164] At this time, if a KakaoTalk message is not acknowledged within 5 seconds or a transmission failure (Fail) response occurs, the message engine can immediately switch to an auxiliary means via SMS or LMS and execute omnichannel messaging gateway logic to send it bypass.

[0165] In this way, when a JSON packet is sent via bypass, it can be sent to the user's terminal in the form of a text message.

[0166] That is, the smart parking fee payment device (100) can send an electronic receipt to the user's terminal by configuring a channel messaging gateway that uses KakaoTalk as the primary means and SMS or LMS as the auxiliary means.

[0167] In addition, the smart parking fee payment machine (100) can reduce resource waste caused by paper receipts by sending an electronic receipt for parking fee payment to the user's terminal.

[0169] Effects according to the present invention

[0170] The smart parking fee payment device (100) of the present invention can maximize the convenience of use for regular pass users and unspecified socially vulnerable people (including people with disabilities) by identifying users based on deep learning-based facial recognition technology, which is a Vision AI technology, thereby preventing fraudulent use of lost or stolen cards.

[0171] In addition, the smart parking fee settlement device (100) of the present invention can eliminate physical barriers that existing kiosks have by based on the sliding structure of a smart card reader for barrier-free functionality, thereby ensuring information accessibility for unspecified socially vulnerable people (including people with disabilities) and simultaneously resolving digital exclusion.

[0172] And the smart parking fee settlement device (100) of the present invention can reduce resource waste caused by paper receipts by sending an electronic receipt for parking fee settlement to the user's terminal.

[0174] As described above, the detailed description of the preferred embodiments of the present invention disclosed is provided to enable those skilled in the art to implement and practice the present invention. Although the present invention has been described with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the scope of the invention. For example, those skilled in the art may utilize each configuration described in the embodiments described above in combination with one another. Accordingly, the present invention is not intended to be limited to the embodiments shown herein, but to be given the broadest scope consistent with the principles and novel features disclosed herein.

[0175] The present invention may be embodied in other specific forms without departing from the technical spirit and essential features of the invention. Accordingly, the above detailed description should not be interpreted restrictively in all respects but should be considered exemplary. The scope of the invention shall be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the invention are included within the scope of the invention. The invention is not intended to be limited to the embodiments shown herein, but to be given the broadest possible scope consistent with the principles and novel features disclosed herein. Furthermore, embodiments may be constructed by combining claims that are not explicitly related in the claims, or included as new claims through amendments made after filing. Explanation of the symbols

[0177] 100: Smart parking fee payment machine, 110: Camera, 120: Payment method selection section, 130: Discount coupon slot, 140: Smart card reader, 150: Receipt printing unit, 160: Non-contact sensor, 170: Call button, 180: Speaker.

Claims

Claim 1 In a smart parking fee settlement device combining vision AI technology and barrier-free functions, the smart parking fee settlement device comprises: a camera that captures the face of a user belonging to a first group or a second group who is aboard an exiting vehicle to acquire face data; and a license plate recognition device that recognizes the license plate of the exiting vehicle to acquire license plate information and entry-exit information data of the exiting vehicle. A smart card reader that reads IC chip data of a card inserted to pay the final payment amount when a card is selected as the payment method through a payment method selection unit; wherein the first group is a group composed of regular pass registrants who have registered a regular pass to enter and exit the facility's parking lot on a fixed basis, and the second group is a group composed of users including socially vulnerable persons, including persons with disabilities, who use the parking lot indefinitely; wherein the smart card reader slides when a user boarding the exiting vehicle is identified as a user of the second group; and the smart parking fee settlement machine comprises: a database storing user information of the first and second groups including face hashes of the users of the first and second groups; a PC that vectorizes the user's face data to extract facial feature vector data, which is feature vector data, and then converts the feature vector data into a key value; and a server that identifies whether the user boarding the exiting vehicle belongs to the first group or the second group by comparing the face data converted into the key value with the face hash stored in the database.A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that the user information comprises: basic identification information consisting of a user identifier (User ID) including device information (UUID) of a terminal for distinguishing the user, the user's name, a linked phone number, and a vehicle number; linked card information including a card token issued by a card company, card issuer information, and the activation status of the card; certificate information regarding a document proving a social status to determine whether the user is a socially vulnerable person (including a person with a disability); and season ticket information to determine whether the user is a season ticket registrant; and biometric and security information consisting of an encrypted face hash rather than the original face image of the user, a facial feature vector of the user, linkage information (CI) provided by the card company which is encrypted into 88 bytes of the user's resident registration number 13 digits, and duplicate registration confirmation information (DI). Claim 2 A smart parking fee settlement device combining vision AI technology and barrier-free functions, characterized in that, in claim 1, the smart card reader is designed to be advanced in advance to an arrival position outside the smart parking fee settlement device through sliding movement from an initial position while the exiting vehicle approaches the smart parking fee settlement device. Claim 3 delete Claim 4 A smart parking fee settlement device combining vision AI technology and barrier-free functions, characterized in that, in claim 1, the PC runs a vision AI algorithm that identifies the position and size of the actual face within the image frame of the face data, distinguishes the background from the user's face, and performs logic to identify the user attempting to settle the parking fee when multiple people occur. Claim 5 A smart parking fee payment machine combining vision AI technology and barrier-free functions, wherein, in claim 4, the vision AI algorithm extracts consistent data regardless of the user's posture or angle by normalizing a side face or a tilted face within a face image into a front image through landmark-based correction technology. Claim 6 A smart parking fee payment machine combining vision AI technology and barrier-free functions, wherein, in claim 5, the vision AI algorithm is characterized by converting the normalized face image into N-dimensional numerical data based on the spacing between eyes, the height of the nose, and the curvature of the lips to extract facial feature points (Features Vector), which are feature point vector data. Claim 7 A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that, in claim 6, the server identifies the user based on calculating that the user's identity matches when the distance value calculated according to the facial feature point extraction formula according to the following formula is below a threshold. In the above formula, x is face data acquired in real time from the camera, and y is a face hash registered in the database. Claim 8 A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that, in claim 7, the server replaces the face data converted into the key value with the value of the linkage information (CI) stored in the database, and calls a payment method registered with a card company based on the replaced CI value. Claim 9 A smart parking fee settlement device combining vision AI technology and barrier-free functions, characterized in that, in claim 1, the PC processes the vehicle number information and entry-exit information data into a payment information packet to be transmitted to the server, and the server compares the vehicle number information with the vehicle number stored in the database to identify whether the exiting vehicle is a vehicle registered with a regular pass owned by a user of the first group or a vehicle subject to general fee settlement owned by a user of the second group. Claim 10 A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that, in claim 9, the PC processes the IC chip data of the card read by the smart card reader into a payment information packet to be transmitted to the server based on converting the IC chip data of the card into a one-time code (Token) compliant with the IC card standard security protocol and encrypting the data, and the server compares the one-time code (Token) with the card token stored in the database to determine whether the user who is the owner of the card and is a passenger in the exiting vehicle matches the user who received the card inserted into the smart card reader. Claim 11 A smart parking fee payment machine combining vision AI technology and barrier-free functions, characterized in that, in order to prevent fraudulent use of lost or stolen cards, the server simultaneously performs multi-factor authentication (MFA) in the background using the user's mobile phone number and device information (UUID) stored in the database, while comparing the one-time code (Token) with the card token stored in the database. Claim 12 A smart parking fee settlement device combining vision AI technology and barrier-free functions, characterized in that, in the case where a user who is the owner of the card and is aboard an exiting vehicle matches a user who has been issued a card inserted into the smart card reader, the server calculates the parking lot usage time of the exiting vehicle based on entry-exit information data processed into a payment information packet from the PC to calculate a final payment amount for parking fee settlement, and transmits payment request data of the final payment amount to the card company's host computer via a PG company (payment processing agency). Claim 13 A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that, in claim 12, the card company approves the payment of the final payment amount for parking fee settlement after finally confirming the limit and whether the card is lost. Claim 14 In claim 1, the smart parking fee settlement device further comprises: a payment method selection unit including a display that provides an interface for the user to select a payment method for settling the parking fee of an exiting vehicle and a receipt for settling the parking fee; a receipt output unit that outputs (issues) a paper receipt for the final payment amount settled for parking fee settlement when the user selects a paper receipt for settling the parking fee through the payment method selection unit; and a contactless sensor that operates when the user selects a paper receipt for settling the parking fee through the payment method selection unit; characterized in that the smart parking fee settlement device combined with vision AI technology and barrier-free function further comprises: Claim 15 In claim 14, the receipt output unit is characterized by the fact that when the non-contact sensor detects that a part of the body of a user riding in the exiting vehicle approaches, generates a receipt output signal, and transmits it to the PC, the PC operates, thereby combining vision AI technology and barrier-free functions, in a smart parking fee settlement device. Claim 16 In claim 14, the smart parking fee settlement machine combined with vision AI technology and barrier-free function is characterized in that the receipt output unit omits the output of a paper receipt for parking fee settlement when the user selects an electronic receipt for the parking fee settlement through the payment method selection unit. Claim 17 In claim 16, the smart parking fee settlement device is characterized by including a message engine to send the electronic receipt to the user's terminal when the user selects the receipt for the settlement of parking fees as an electronic receipt through the payment method selection unit; a smart parking fee settlement device combined with vision AI technology and barrier-free function. Claim 18 A smart parking fee settlement device combining vision AI technology and barrier-free functions, characterized in that, in claim 17, the message engine queries the user's mobile phone number from the database, calls a pre-approved notification message template to utilize Kakao Notification Message as the primary means, constructs a JSON packet by inserting informational data such as payment amount, business name, date and time, and remaining limit, which are actual transaction data, into the variable area of ​​the notification message template, and the JSON packet is sent to the user's terminal in the form of the Kakao Notification Message. Claim 19 A smart parking fee settlement machine combining vision AI technology and barrier-free functions, characterized in that, in claim 18, if the message engine does not confirm receipt of the Kakao Notification Talk within 5 seconds at the user terminal or if a transmission failure (Fail) response occurs, it immediately sends a JSON packet via SMS or LMS, and the JSON packet is sent to the user terminal in the form of a text message.

Images