KR20190115534A - Electric vehicle charging and villing system using license plate recognition - Google Patents
Electric vehicle charging and villing system using license plate recognitionInfo
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- KR20190115534A KR20190115534A KR1020180033453A KR20180033453A KR20190115534A KR 20190115534 A KR20190115534 A KR 20190115534A KR 1020180033453 A KR1020180033453 A KR 1020180033453A KR 20180033453 A KR20180033453 A KR 20180033453A KR 20190115534 A KR20190115534 A KR 20190115534A
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- 238000012544 monitoring process Methods 0.000 claims description 2
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Abstract
Description
본 발명은 전기 자동차의 번호판 인식을 통해 등록된 사용자의 전기 자동차임을 판단하여 전기 자동차의 충전 및 결제가 이루어지는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템에 관한 것이다. The present invention relates to a charging and payment system for an electric vehicle using license plate recognition in which charging and settlement of the electric vehicle are performed by determining that the electric vehicle is registered by the license plate recognition of the electric vehicle.
전기자동차(EV;Electric Vehicle)란, 기존 자동차들이 엔진과 전기모터를 같이 쓰는 하이브리드와 달리 전기모터만으로 움직이는 순수 전기차로 배기가스와 소음, 진동이 적어 조용하고 쾌적한 운행이 가능한 친환경 차량이다. Electric vehicles (EVs), unlike hybrids in which existing cars share engines and electric motors, are pure electric cars that move only by electric motors.
기존의 전기자동차를 충전을 위해서는 완속, 급속, 휴대용 충전기 형태인 플러그인 충전방식이 있었으나 자계 커필링에 의한 파워전달이 가능하여 주차만으로 자동충전이 가능한 무선충전방식이 도입되고 있다. In order to charge the existing electric vehicle, there was a plug-in charging method, which is a slow, rapid, and portable charger type, but a wireless charging method that enables automatic charging only by parking is available because power can be transmitted by magnetic field filling.
이는 스마트폰의 무선충전방식처럼 자기공명에 의한 무선충전이 가능하여 충전케이블을 소지하고 다녀야하는 전기차 운전자의 불편함을 보완해주는 충전방식이다. This is a charging method that compensates for the inconvenience of the electric vehicle driver who has to carry a charging cable by enabling wireless charging by magnetic resonance like the wireless charging method of a smartphone.
또한, 외부 먼지나 눈 등에 의한 오염이 쉽고, 기온에 따라 뜨겁거나 차가운 플러그를 이용해야 하는 단점을 보완하며 여성이나 노약자가 다루기에는 다소 무게감 있는 플러그의 불편함을 해소해준다. In addition, it is easy to be polluted by external dust or snow, and to compensate for the disadvantage of using a hot or cold plug depending on the temperature, and eliminates the inconvenience of a rather heavy plug for women or the elderly.
이와 같은 무선충전 시스템은 도 1에 도시한 바와 같으며, 이는 장기적으로 쇼핑을 하는 도중에 주차장에서 충전이 가능해진다. Such a wireless charging system is shown in Figure 1, which can be charged in the parking lot during the long-term shopping.
그러나, 기존에 무선 충전을 통해 사용자의 편의를 제공하나 결제를 별도로 진행함으로써 사용자가 불편을 겪음에 따라 전기 자동차의 충전과 결제가 동시에 진행하여 사용자에게 편리함을 제공할 수 있는 시스템이 요구된다. However, in the past, a system for providing convenience to a user by providing a user's convenience through wireless charging but proceeding with a payment separately and having a user's inconvenience, while simultaneously charging and paying an electric vehicle is required.
본 발명은 전기 자동차의 번호판을 인식함에 있어 딥러닝 기술을 이용하여 인식율을 높이는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템을 제공하기 위한 것이다. The present invention is to provide a charging and payment system for an electric vehicle using license plate recognition to increase the recognition rate using a deep learning technology in recognizing the license plate of the electric vehicle.
또한, 본 발명은 전기 자동차의 번호판 인식으로 미리 등록된 사용자의 결제정보를 통해 충전 여부를 결정하고 충전비용을 결제하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템을 제공하기 위한 것이다. In addition, the present invention is to provide a charging and payment system for an electric vehicle using the license plate recognition to determine whether the charge through the payment information of the user registered in advance by the license plate recognition of the electric vehicle and pay the charging cost.
본 발명이 이루고자 하는 기술적 과제들은 이상에서 언급한 기술적 과제들로제한되지 않으며, 언급되지 않은 또 다른 기술적 과제들은 아래의 기재로부터 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에게 명확하게 이해될 수 있을 것이다.Technical problems to be achieved by the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.
상기 과제를 달성하기 위한 본 발명의 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템은, 번호판을 포함한 전기 자동차의 이미지를 획득하는 영상입력부, 상기 획득된 이미지를 서버로 전달하는 제1 통신부, 및 전기 자동차를 충전하는 충전부를 포함하는 충전 단말기; 및 상기 제1 통신부를 통해 전달받은 이미지로 상기 전기 자동차의 번호판의 번호를 추출하여 인식하는 인식부, 사용자 정보가 저장된 데이터 베이스부, 상기 사용자 정보와 추출된 번호를 매칭하여 충전가능여부를 판단하는 판단부, 및 상기 판단부에 따라 충전가능여부를 상기 충전 단말기로 전달하는 제2 통신부를 포함하는 서버;를 포함하는 것을 특징으로 한다. Charging and payment system of an electric vehicle using the license plate recognition of the present invention for achieving the above object, the image input unit for obtaining an image of the electric vehicle including a license plate, a first communication unit for transmitting the obtained image to the server, and the electric A charging terminal including a charging unit for charging a vehicle; And a recognition unit for extracting and recognizing a number of the license plate of the electric vehicle by using the image transmitted through the first communication unit, a database unit in which user information is stored, and determining whether it is chargeable by matching the extracted information with the user information. And a server including a determination unit, and a second communication unit which transmits chargeability to the charging terminal according to the determination unit.
또한, 상기 인식부는 전기 자동차 전체 이미지 중 특정 이미지를 추출하는 로컬라이제이션부(localization unit); 상기 특정 이미지 중 글자들을 인식하는 레코그니션부(recognition unit); 및 상기 인식된 글자들을 번호판의 형태로 재배열하는 리어셈블리부(re-assembler unit);를 포함하는 것을 특징으로 한다. The recognition unit may include a localization unit for extracting a specific image from the entire image of the electric vehicle; A recognition unit for recognizing characters in the specific image; And a re-assembler unit for rearranging the recognized letters in the form of a number plate.
또한, 상기 로컬라이제이션부와 레코그니션부는 합성곱 신경망(Convolutional Neural Network) 모델을 통해 딥러닝하는 것을 특징으로 한다. In addition, the localization unit and the recording unit is characterized in that deep learning through a convolutional neural network (Convolutional Neural Network) model.
또한, 상기 사용자 정보를 입력하기 위해 상기 서버와 연동되는 어플리케이션이 설치된 사용자의 휴대 단말기;를 더 포함하는 것을 특징으로 한다. The apparatus may further include a portable terminal of a user in which an application interworking with the server is installed to input the user information.
또한, 상기 사용자 정보는 사용자 이름, 전기 자동차의 번호, 사용자 연락처, 및 결제카드 정보 중 어느 하나 이상을 포함하는 것을 특징으로 한다. The user information may include any one or more of a user name, an electric vehicle number, a user contact number, and payment card information.
또한, 상기 어플리케이션을 통해 상기 전기 자동차가 충전한 충전소 위치, 충전 시기, 및 충전 금액 중 어느 하나 이상을 포함하는 충전 정보를 모니터링하는 것을 특징으로 한다. In addition, it is characterized in that for monitoring the charging information including any one or more of the charging station location, charging time, and the amount of charge charged by the electric vehicle through the application.
이상에서 설명한 바와 같이,As explained above,
본 발명은 전기 자동차의 번호판을 인식을 위해 딥러닝함으로써, 열악한 환경에서 촬영된 이미지의 번호판을 성공적으로 인식하여 번호판 인식율을 높이는 효과가 있다. The present invention has an effect of increasing the license plate recognition rate by successfully recognizing the license plate of the image photographed in a harsh environment by deep learning the license plate of the electric vehicle for recognition.
또한, 본 발명은 기등록된 사용자 정보와 전기 자동차의 번호판 정보를 통해 전기 자동차의 충전 및 결제시간을 단축하여 사용자의 편의성을 향상시키는 효과가 있다. In addition, the present invention has the effect of improving the convenience of the user by reducing the charging and settlement time of the electric vehicle through the pre-registered user information and license plate information of the electric vehicle.
또한, 본 발명은 인식된 전기 자동차의 번호판에 대응되는 사용자 정보에 따라 전기 자동차의 도난 여부 및 위치 상태를 확인할 수 있는 효과가 있다. In addition, the present invention has the effect of confirming whether the electric vehicle is stolen or the position state according to the user information corresponding to the recognized license plate of the electric vehicle.
또한, 본 발명은 전기 자동차의 차계부를 별도로 작성하지 않고, 전기 자동차의 충전 정보를 모니터링 할 수 있는 효과가 있다. In addition, the present invention has the effect that it is possible to monitor the charging information of the electric vehicle, without separately creating a car account book of the electric vehicle.
도 1은 전기 자동차의 무선 충전 시스템을 나타낸 도면이다.
도 2는 본 발명의 실시예에 따른 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템을 나타낸 블록도이다.
도 3은 본 발명의 실시예에 따른 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템의 구동 순서를 나타낸 흐름도이다.
도 4는 본 발명의 실시예에 따른 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템의 번호판 인식방법을 나타낸 도면이다. 1 is a view showing a wireless charging system of an electric vehicle.
2 is a block diagram illustrating a charging and payment system for an electric vehicle using license plate recognition according to an exemplary embodiment of the present invention.
3 is a flowchart illustrating a driving sequence of a charging and settlement system for an electric vehicle using license plate recognition according to an exemplary embodiment of the present invention.
4 is a view showing a license plate recognition method of a charging and payment system for an electric vehicle using license plate recognition according to an embodiment of the present invention.
이하, 첨부된 도면을 참조하여 본 발명에 따른 실시예를 상세히 설명한다.Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.
또한, 도면에 도시된 구성요소의 크기나 형상 등은 설명의 명료성과 편의상 과장되게 도시될 수 있으며, 본 발명의 구성 및 작용을 고려하여 특별히 정의된 용어들은 사용자, 운용자의 의도 또는 관례에 따라 달라질 수 있고, 이러한 용어들에 대한 정의는 본 명세서 전반에 걸친 내용을 토대로 내려져야 한다.In addition, the size or shape of the components shown in the drawings may be exaggerated for clarity and convenience of description, terms specifically defined in consideration of the configuration and operation of the present invention will vary depending on the intention or custom of the user or operator The definitions of these terms should be made based on the contents throughout the specification.
도 2 내지 도 4는 본 발명의 실시예에 따른 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템을 나타낸 도면으로, 본 발명은 크게 충전 단말기(100), 서버(200), 및 휴대 단말기(300)로 구성된다. 2 to 4 is a view showing a charging and payment system of an electric vehicle using license plate recognition according to an embodiment of the present invention, the present invention is largely a charging terminal 100, a server 200, and a portable terminal 300 It consists of.
충전 단말기(100)는 영상 입력부(110), 제1 통신부(120), 및 충전부(130)를 포함한다.The charging terminal 100 includes an image input unit 110, a first communication unit 120, and a charging unit 130.
여기서, 영상 입력부(110)는 번호판을 포함한 전기 자동차의 이미지를 획득한다. 즉, 영상 입력부(110)는 영상인식 센서와 카메라를 통해 전기 자동차의 전체 이미지를 획득 할 수 있다. Here, the image input unit 110 acquires an image of an electric vehicle including a license plate. That is, the image input unit 110 may acquire the entire image of the electric vehicle through the image recognition sensor and the camera.
제1 통신부(120)는 영상 입력부(110)를 통해 획득된 전기 자동차의 이미지를 서버(200)로 전달하고, 서버(200)에서 전달하는 정보를 수신한다. The first communication unit 120 transmits the image of the electric vehicle obtained through the image input unit 110 to the server 200, and receives the information transmitted from the server 200.
충전부(130)는 서버(200)에서 전달되는 정보에 따라 전기 자동차에 충전을 진행한다. 본 발명의 실시예에서는 무선충전을 예로 들었으나, 플러그인 충전방식도 채택할 수 있다. The charging unit 130 charges the electric vehicle according to the information transmitted from the server 200. In the embodiment of the present invention, the wireless charging is taken as an example, but a plug-in charging method may also be adopted.
서버(200)는 인식부(210), 데이터 베이스부(220), 판단부(230), 제2 통신부(240)를 포함한다. The server 200 includes a recognition unit 210, a database unit 220, a determination unit 230, and a second communication unit 240.
여기서, 인식부(210)는 로컬라이제이션부(211), 레코그니션부(212), 및 리어셈블리부(213)를 포함하고, 인식부(21)는 충전 단말기(100)의 제1 통신부(120)를 통해 전달 받은 전기 자동차의 전체 이미지로부터 전기 자동차의 번호를 추출한다. Here, the recognition unit 210 includes a localization unit 211, a recording unit 212, and a reassembly unit 213, the recognition unit 21 is the first communication unit 120 of the charging terminal 100 Extract the number of the electric vehicle from the full image of the electric vehicle received through.
인식부(210)에 대한 상세한 설명은 하기에서 다시 언급하기로 한다. Detailed description of the recognition unit 210 will be described later.
데이터 베이스부(220)는 사용자 정보 및 전기 자동차의 충전정보가 저장된다. 여기서, 사용자 정보는 사용자 이름, 전기 자동차의 번호, 사용자의 연락처, 및 결제카드 정보 중 어느 하나 이상을 포함한다. The database unit 220 stores user information and charging information of the electric vehicle. Here, the user information includes any one or more of a user name, an electric vehicle number, a contact information of the user, and payment card information.
또한,전기 자동차의 충전정보는 사용자의 전기 자동차가 충전한 충전소 위치, 충전 시기, 및 충전 금액 중 어느 하나 이상의 정보를 더 포함한다. In addition, the charging information of the electric vehicle further includes information of any one or more of the charging station location, the charging time, and the amount of charge charged by the user's electric vehicle.
판단부(230)는 추출된 전기 자동차의 번호를 데이터 베이스부(220)에 저장된 사용자 정보와 매칭하여 충전가능 여부를 판단한다. 즉, 추출된 전기 자동차의 번호가 기 등록된 사용자 정보에 포함되어 있는 전기 자동차인지 판단하여 충전 가능 여부를 확인한다.The determination unit 230 determines whether or not charging is possible by matching the extracted electric vehicle number with user information stored in the database unit 220. That is, it is determined whether the number of the extracted electric vehicle is the electric vehicle included in the pre-registered user information and whether it is possible to charge.
기등록된 사용자의 전기 자동차인 경우, 결제카드 정보를 포함하고 있으므로, 충전이 가능하나, 기 등록되지 않은 사용자의 전기 자동차인 경우 충전이 불가할 수 있으므로 이에 대한 정보를 사용자에게 전달한다. In the case of an electric vehicle of a registered user, since the payment card information is included, charging is possible, but in the case of an electric vehicle of an unregistered user, charging may be impossible.
이와 같은 이유로 충전이 불가한 경우 데이터 베이스부(220)에 등록되지 않은 정보이므로, 서버(200)는 충전 단말기(100)의 표시부(미도시)를 통해 해당 사항을 안내하고, 사용자 정보가 등록되면 충전 가능 상태로 전환될 수 있다. If charging is not possible for this reason, since the information is not registered in the database unit 220, the server 200 guides the corresponding information through a display unit (not shown) of the charging terminal 100, and user information is registered. Can be switched to a chargeable state.
또한, 전기 자동차와 사용자가 일치하는지 확인하기 위해 데이터 베이스부(220)에 저장된 사용자의 연락처로 인증 메시지를 전달하여 응답에 따라 전기 자동차의 충전 여부를 판단한다. In addition, in order to check whether the electric vehicle matches the user, an authentication message is transmitted to the contact information of the user stored in the database unit 220 to determine whether the electric vehicle is charged according to the response.
이때, 인증 메시지는 휴대 단말기(300)의 어플리케이션(310)을 통한 팝업창으로 전달 받을 수 있다. In this case, the authentication message may be delivered to the pop-up window through the application 310 of the mobile terminal 300.
제2 통신부(240)는 판단부(230)에서 판단된 정보를 충전 단말기(100) 및 사용자의 휴대 단말기(300) 중 어느 하나 이상으로 정보를 전달한다. The second communication unit 240 transfers the information determined by the determination unit 230 to any one or more of the charging terminal 100 and the user's portable terminal 300.
충전 단말기(100)로 충전 가능 정보가 전달되면 충전 단말기(100)는 전기 자동차 충전이 이루어지고, 휴대 단말기(300)로 전달된 정보를 통해 비용은 카드 승인으로 결제가 이루어지도록 한다.When the chargeable information is transferred to the charging terminal 100, the charging terminal 100 is charged with the electric vehicle, and the payment is made by the card approval through the information transmitted to the portable terminal 300.
휴대 단말기(300)는 서버(200)와 연동되는 어플리케이션(310)이 설치되어 있으며, 어플리케이션(310)을 통해 사용자 정보를 등록할 수 있으며, 나아가, 어플리케이션(310)을 통해 카드 결제 승인, 전기 자동차가 충전한 충전소 위치, 충전 시기, 및 충전 금액 중 어느 하나 이상을 포함하는 충전 정보를 모니터링할 수 있다.The mobile terminal 300 has an application 310 that is linked with the server 200 is installed, can register the user information through the application 310, further, through the application 310 card payment approval, electric vehicle The charging information including any one or more of the charging station location, charging time, and the amount of charge can be monitored.
상기와 같은 구성으로 번호판 인식을 이용한 전기 자동차의 충전 결제 방법은 도 3과 같다. The charging and charging method of the electric vehicle using the license plate recognition as described above is as shown in FIG.
먼저, 영상 입력부(110)를 통해 전기 자동차를 촬영하여 서버(200)에 전달한다(S100). 이때, 촬영된 전기 자동차는 번호판을 포함한 상태이어야 한다. First, the electric vehicle is photographed through the image input unit 110 and transmitted to the server 200 (S100). At this time, the photographed electric vehicle should be in a state including a license plate.
이어, 서버(200)에서 전기 자동차의 번호판을 인식한다(S200). 즉, 번호판을 포함한 전체 이미지에서 번호판을 추출하여 해당 숫자 및 문자를 인식한다. 이때, 전기 자동차의 번호판을 인식하는 방법은 도 4에 도시한 바와 같다. Subsequently, the server 200 recognizes the license plate of the electric vehicle (S200). That is, the license plate is extracted from the entire image including the license plate to recognize the numbers and letters. At this time, the method of recognizing the license plate of the electric vehicle is as shown in FIG.
로컬라이제이션부(211)를 통해 전기 자동차의 전체 이미지 중 특정 이미지를 추출한다(S210). 본 발명의 실시예에서 특정 이미지는 번호판에 해당되므로, 번호판 이미지를 추출한다. The localization unit 211 extracts a specific image from the entire image of the electric vehicle (S210). In the embodiment of the present invention, since the specific image corresponds to the license plate, the license plate image is extracted.
그리고, 레코그니션부(212)가 추출된 번호판 이미지 중 문자 및 숫자에 해당되는 글자를 이미지가 아닌 캐릭터(characters)로 인식한다(S220). In addition, the recording unit 212 recognizes letters corresponding to letters and numbers among the extracted license plate images as characters rather than images (S220).
그리고, 리어셈블리부(213)가 최종 필요한 정보로 글자를 재배열하여 전기 자동차의 번호판을 글자로 인식한다(S230). Then, the rear assembly unit 213 rearranges the letters with the last necessary information to recognize the license plate of the electric vehicle as the letters (S230).
여기서, 로컬라이제이션부(211)와 레코그니션부(212)는 합성곱 신경망(Convolutional Neural Network) 모델을 통해 딥러닝하여 전기 자동차의 번호판 이미지의 인식율을 높인다. Here, the localization unit 211 and the recording unit 212 deep learning through a convolutional neural network model to increase the recognition rate of the license plate image of the electric vehicle.
이어, 인식된 번호판과 사용자 정보를 매칭하여 충전 가능 여부를 판단한다(S300). 이를 통해 사용자를 인증할 수 있다. Subsequently, it is determined whether charging is possible by matching the recognized license plate with user information (S300). This allows you to authenticate users.
예컨대, 인식된 번호판의 번호에 따른 사용자 정보에 저장된 사용자의 연락처로 인증 메시지가 전달되는 경우, 사용자는 인증 메시지를 통해 사용자가 운전여부를 파악 할 수 있어 사용자가 인증 메시지에 대해 응답을 하는 경우 충전이 가능하나, 인증 메시지에 대한 응답이 없는 경우 사용자는 전기 자동차의 도난, 또는 위치를 파악할 수 있고, 이를 통해 충전이 가능하지 않을 수도 있다. For example, when the authentication message is delivered to the user's contact information stored in the user information according to the recognized license plate number, the user can determine whether the user is driving through the authentication message and the user charges when the user responds to the authentication message. This may be possible, but if there is no response to the authentication message, the user may determine the theft or location of the electric vehicle, and may not be able to charge it.
즉, 충전이 가능하지 않은 경우는 미리 등록되지 않은 사용자의 전기 자동차이거나, 인증 메시지에 대한 사용자의 응답이 이루어지지 않은 경우에 충전이 가능하지 않을 수 있다. That is, when charging is not possible, it may be an electric vehicle of a user who is not registered in advance, or charging may not be possible when a user's response to an authentication message is not made.
여기서, 사용자 정보는 사용자의 휴대 단말기(300)에 설치된 어플리케이션(310)을 통해 입력할 수 있으며, 휴대 단말기(300)에 설치된 어플리케이션(310)은 서버(200)와 연동된다. Here, the user information may be input through an application 310 installed in the user's portable terminal 300, and the application 310 installed in the portable terminal 300 may be linked with the server 200.
즉, 휴대 단말기(300)를 통해 입력된 정보는 서버(200)의 데이터베이스부(220)에 저장된다. That is, the information input through the mobile terminal 300 is stored in the database unit 220 of the server 200.
이어, 충전 가능 여부 판단 정보를 충전 단말기(100) 및 사용자의 휴대 단말기(300)에 전달한다(S400). Subsequently, the charging determination information is transmitted to the charging terminal 100 and the user's portable terminal 300 (S400).
마지막으로, 충전 단말기(100)를 통해 전기 자동차의 충전이 이루어지고, 사용자의 휴대 단말기(300)를 통해 충전 비용을 결제한다(S500). Finally, the charging of the electric vehicle is made through the charging terminal 100, and the charging cost is paid through the user's portable terminal 300 (S500).
본 발명의 실시예에서 서버(200)와 휴대 단말기(300)가 연동되어 결제가 이루어지기 위해서 서버(200)가 온라인 결제 서비스(미도시)와 연계되어야 함은 자명함으로 이에 대한 상세한 설명은 생략 하도록 한다. In the embodiment of the present invention, the server 200 and the mobile terminal 300 are linked to the online payment service (not shown) in order for the payment to be made in conjunction with the self-explanation, so a detailed description thereof will be omitted. do.
따라서, 본 발명은 전기 자동차의 번호판의 인식을 위해 딥러닝함으로써, 열악한 환경에서 촬영된 이미지의 번호판을 성공적으로 인식하여 번호판 인식율을 높이는 효과가 있다. Therefore, the present invention has an effect of increasing the license plate recognition rate by successfully recognizing the license plate of the image photographed in a harsh environment by deep learning for the recognition of the license plate of the electric vehicle.
또한, 본 발명은 기등록된 사용자 정보와 전기 자동차의 번호판 정보를 통해 전기 자동차의 충전 및 결제시간을 단축하여 사용자의 편의성을 향상시키는 효과가 있다. In addition, the present invention has the effect of improving the convenience of the user by reducing the charging and settlement time of the electric vehicle through the pre-registered user information and license plate information of the electric vehicle.
또한, 본 발명은 인식된 전기 자동차의 번호판에 대응되는 사용자 정보에 따라 전기 자동차의 도난 여부 및 위치 상태를 확인할 수 있는 효과가 있다. In addition, the present invention has the effect of confirming whether the electric vehicle is stolen or the position state according to the user information corresponding to the recognized license plate of the electric vehicle.
또한, 본 발명은 전기 자동차의 차계부를 별도로 작성하지 않고, 전기 자동차의 충전 정보를 모니터링 할 수 있는 효과가 있다. In addition, the present invention has the effect that it is possible to monitor the charging information of the electric vehicle, without separately creating a car account book of the electric vehicle.
이상에서 본 발명에 따른 실시예들이 설명되었으나, 이는 예시적인 것에 불과하며, 당해 분야에서 통상적 지식을 가진 자라면 이로부터 다양한 변형 및 균등한 범위의 실시예가 가능하다는 점을 이해할 것이다. 따라서, 본 발명의 진정한 기술적 보호 범위는 다음의 특허청구범위에 의해서 정해져야 할 것이다.Although embodiments according to the present invention have been described above, these are merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent embodiments of the present invention are possible therefrom. Therefore, the true technical protection scope of the present invention will be defined by the following claims.
100...충전 단말기
110...영상 입력부
120...제1 통신부
130...충전부
200...서버
210...인식부
211...로컬라이제이션부
212...레코그니션부
213...리어셈블리부
220...데이터 베이스부
230...판단부
240...제2 통신부
300...휴대 단말기
310...어플리케이션100.Charging terminal
110 Video input
120.First Communication Unit
130.Charging part
200 ... server
210 Recognition
211 Localization
212 ... Reconstruction Division
213.Reassembly
220 Database part
230 ... Decision
240.Second Communication Unit
300 ... handset
310 ... Application
Claims (6)
상기 제1 통신부를 통해 전달받은 이미지로 상기 전기 자동차의 번호판의 번호를 추출하여 인식하는 인식부, 사용자정보가 저장된 데이터 베이스부, 상기 사용자정보와 추출된 번호를 매칭하여 충전가능여부를 판단하는 판단부, 및 상기 판단부에 따라 충전가능여부를 상기 충전 단말기로 전달하는 제2 통신부를 포함하는 서버;를 포함하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.A charging terminal including an image input unit for acquiring an image of an electric vehicle including a license plate, a first communication unit for transmitting the acquired image to a server, and a charging unit for charging the electric vehicle; And
Recognizing unit for extracting and recognizing the number of the license plate of the electric vehicle with the image transmitted through the first communication unit, Determination to determine whether the charge is possible by matching the user information and the extracted database number, the user information and the extracted number And a server including a second communication unit which transmits chargeability to the charging terminal according to the determination unit.
상기 인식부는 전기 자동차 전체 이미지 중 특정 이미지를 추출하는 로컬라이제이션부(localization unit);
상기 특정 이미지 중 글자들을 인식하는 레코그니션부(recognition unit); 및
상기 인식된 글자들을 번호판의 형태로 재배열하는 리어셈블리부(re-assembler unit);를 포함하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.The method according to claim 1,
The recognition unit localization unit (localization unit) for extracting a specific image of the entire electric vehicle image (localization unit);
A recognition unit for recognizing letters in the specific image; And
Re-assembler unit for rearranging the recognized letters in the form of a license plate (re-assembler unit); Charging and payment system of an electric vehicle using a license plate recognition.
상기 로컬라이제이션부와 레코그니션부는 합성곱 신경망(Convolutional Neural Network) 모델을 통해 딥러닝하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.The method according to claim 2,
The localization unit and the recording unit deep charging through a convolutional neural network (Convolutional Neural Network) model, characterized in that the electric vehicle charging and payment system using a license plate recognition.
상기 사용자 정보를 입력하기 위해 상기 서버와 연동되는 어플리케이션이 설치된 사용자의 휴대 단말기;를 더 포함하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.The method according to claim 1,
And a portable terminal of a user on which an application interworking with the server is installed to input the user information.
상기 사용자 정보는 사용자 이름, 전기 자동차의 번호, 사용자 연락처, 및 결제카드 정보 중 어느 하나 이상을 포함하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.The method according to claim 1,
The user information of the electric vehicle charging and payment system using a license plate recognition, characterized in that any one or more of a user name, the number of the electric vehicle, the user contact, and payment card information.
상기 어플리케이션을 통해 상기 전기 자동차가 충전한 충전소 위치, 충전 시기, 및 충전 금액 중 어느 하나 이상을 포함하는 충전 정보를 모니터링하는 것을 특징으로 하는 번호판 인식을 이용한 전기 자동차의 충전 및 결제 시스템.The method according to claim 4,
The charging and payment system of the electric vehicle using the license plate recognition, characterized in that for monitoring the charging information including any one or more of the charging station location, the charging time, and the amount of charge charged by the electric vehicle through the application.
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KR20220157084A (en) * | 2021-05-20 | 2022-11-29 | 주식회사 타디스테크놀로지 | System for automatically paying for electric charging of vehicles through license plate recognition |
WO2024111740A1 (en) * | 2022-11-25 | 2024-05-30 | (주)펌프킨 | Electric vehicle recognition system using deep learning |
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CN111231725A (en) * | 2020-02-28 | 2020-06-05 | 重庆国翰能源发展有限公司 | Cloud server-based high-power charging pile control system and method |
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KR20220157084A (en) * | 2021-05-20 | 2022-11-29 | 주식회사 타디스테크놀로지 | System for automatically paying for electric charging of vehicles through license plate recognition |
CN113362526A (en) * | 2021-05-26 | 2021-09-07 | 国网安徽省电力有限公司宁国市供电公司 | Charging pile management system for biological identification |
KR102435157B1 (en) * | 2021-12-31 | 2022-08-24 | 주식회사 넥스파시스템 | Enforcement system for electric vehicle charging stations using machine learning |
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