KR20220118016A - Non-Stop Parking Exit Control System Based on Image Recognition Technology - Google Patents

Non-Stop Parking Exit Control System Based on Image Recognition Technology Download PDF

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KR20220118016A
KR20220118016A KR1020210021605A KR20210021605A KR20220118016A KR 20220118016 A KR20220118016 A KR 20220118016A KR 1020210021605 A KR1020210021605 A KR 1020210021605A KR 20210021605 A KR20210021605 A KR 20210021605A KR 20220118016 A KR20220118016 A KR 20220118016A
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exit
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vehicle
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최남호
이미연
이시영
박재현
이경한
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사이클롭스 주식회사
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
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    • E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
    • E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
    • E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
    • E01F13/06—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage by swinging into open position about a vertical or horizontal axis parallel to the road direction, i.e. swinging gates
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/292—Multi-camera tracking
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/075—Ramp control

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Abstract

The present invention relates to a non-stop parking lot exit control system based on image recognition technology, and more specifically, to a non-stop parking lot exit control system based on image recognition technology, which uses a CCTV installed in a previously designated location to early detect a vehicle scheduled to leave the corresponding area, based on computer vision technology such as MOD or the like, and quickly identifies whether the vehicle is leaving a parking lot to operate an exit barrier efficiently.

Description

영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템 {Non-Stop Parking Exit Control System Based on Image Recognition Technology}Non-Stop Parking Exit Control System Based on Image Recognition Technology

본 발명은 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템에 관한 것으로, 보다 구체적으로는 CCTV를 포함하는 시스템으로 출차를 원하는 차량의 요금 정산 여부를 확인하고, 주차장 외부의 방해요인을 파악하여 차량에 출차 가능 여부를 표시해주는 시스템 및 방법에 관한 것이다.The present invention relates to a non-stop parking lot exit control system based on image recognition technology, and more specifically, it is a system including a CCTV to check whether a vehicle wants to exit a vehicle, check whether the fare is settled, and identify obstacles outside the parking lot to It relates to a system and method for displaying whether a vehicle can be taken out.

차량번호판인식(License Plate Recognition ; LPR) 기술 기반의 기존 스마트 주차관리시스템은 LPR의 인식률 확보, 차량번호 인식 소요시간, 차단기 동작 지연 등으로 인해 주차장 출차 시 일시 정지하거나 정지에 가까운 저속으로 운행하여 주차장 내부의 극심한 교통정체를 야기함에 따라 주차장의 전반적인 운영 효율성을 저해하고 있다.The existing smart parking management system based on License Plate Recognition (LPR) technology temporarily stops or operates at a low speed close to a stop when exiting the parking lot due to LPR recognition rate, the time required to recognize the license plate number, and the delay in operation of the breaker. As it causes severe internal traffic congestion, the overall operational efficiency of the parking lot is undermined.

상기와 같은 기존 LPR기반의 스마트 주차관리시스템의 문제점을 원천적으로 개선한 다중객체검출(Multi-Object Detection ; MOD) 등 컴퓨터 비전 기술기반의 Non-Stop 주차장 출차 시스템의 경우, 주차장 내부의 출차대기차량을 조기에 검출하고 해당 차량의 주차요금이 기납부된 경우(정기권 구매, 키오스크 등에서 선 결제, 면제차량 등 포함) 출차차단기의 개폐여부를 사전에 판단하여 차량의 신속한 출차를 도모함으로써 기존 시스템의 문제점을 보완하며 운영할 수 있는 시스템이다.In the case of a non-stop parking lot exit system based on computer vision technology, such as Multi-Object Detection (MOD), which fundamentally improves the problems of the existing LPR-based smart parking management system as described above, vehicles waiting for exit inside the parking lot is detected early and when the parking fee of the vehicle has been paid in advance (including commuter pass purchase, prepayment at kiosk, etc., exempt vehicles, etc.) It is a system that can complement and operate.

본 발명은 상기와 같은 기존 LPR 기반의 기존 스마트 주차관리 시스템 및 방법의 문제점을 원천적으로 개선한 MOD 등 컴퓨터 비전 기술 및 CCTV를 활용한 Non-Stop 주차장 출차 시스템을 제공함을 그 목적으로 하고 있다.An object of the present invention is to provide a non-stop parking lot exit system using computer vision technology such as MOD and CCTV, which fundamentally improves the problems of the existing LPR-based smart parking management system and method as described above.

[문헌1] 공개특허 10-2018-0111866 주차관리시스템[Document 1] Patent Publication 10-2018-0111866 Parking Management System [문헌2] 공개특허 10-2018-0032272 주차관리 장치와 방법 및 시스템[Document 2] Patent Publication 10-2018-0032272 Parking management device, method and system

본 발명은 주차장 내부도로에 위치한 차량 중 주차장 밖으로의 출차가 예상되는 차량을 조기에 검출하고 그 차량의 주차요금이 기납부된 경우(정기권 구매, 키오스크 등에서 선 결제, 면제차량 등 포함) 차단기를 신속하게 개방하여 Non-Stop 방식의 주차장 출차 제어 시스템을 제공함을 그 목적으로 한다.The present invention detects a vehicle that is expected to exit the parking lot from among the vehicles located on the inner road of the parking lot at an early stage, and when the parking fee of the vehicle has been paid in advance (including purchase of a commuter pass, prepayment at a kiosk, etc., exempt vehicle, etc.) The purpose of this is to provide a non-stop parking lot exit control system.

본 과제를 해결하기 위한 본 발명에 따른 영상인식 기술기반 Non-Stop 주차장 출차 제어 시스템은 입차존(101), 주차면(102), 이동로(103) 및 출차존A(104)를 포함하는 주차장의 영상을 획득하는 하나 이상의 카메라(100); 상기 카메라(100)가 획득한 영상에서 주차장에 입차하는 차량들을 개별적으로 검출하고 고유번호를 부여한 후 추적하는 검출추적부(200);와 상기 카메라(100)가 획득한 영상에서 출차존A(104)에 차량이 존재하는지 여부를 검출하는 출차검출부(300); 상기 검출추적부(200)가 추적중인 차량이 주차요금을 납부하였는지 여부를 확인하는 요금납부확인부(400); 외에 요금을 납부한 차량이 출차존A(104)에 위치하는 경우 차단봉을 개방하는 출차차단기(500);를 포함하여 구성되는 것을 특징으로 하는 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템을 제공한다.An image recognition technology-based non-stop parking lot exit control system according to the present invention for solving the present invention is a parking lot including an entrance zone 101, a parking surface 102, a moving path 103, and an exit zone A 104 One or more cameras 100 to obtain an image of; A detection and tracking unit 200 that individually detects vehicles entering the parking lot from the image obtained by the camera 100, assigns a unique number, and tracks the vehicle; and exiting zone A 104 from the image obtained by the camera 100 ) an exit detection unit 300 for detecting whether a vehicle is present; a fee payment confirmation unit 400 for confirming whether the vehicle being tracked by the detection and tracking unit 200 has paid a parking fee; In addition, it provides a non-stop parking lot exit control system based on image recognition technology, characterized in that it includes; .

아울러, 상기의 과제를 해결하기 위한 본 발명의 추가적인 수단으로는 상기 카메라(100)는 출차존B(105)과 주행존A(106) 중 어느 하나 이상의 영상을 추가로 획득하고, 상기 출차검출부(300)는 출차존B(105) 및/또는 주행존A(106)에 차량이 존재하는지 여부를 추가로 검출하며, 출차존B(105) 및/또는 주행존A(106)에 차량이 존재하는지 여부에 따라 색상, 기호, 도형, 영상, 이미지 중 어느 하나 이상을 이용하여 출차존A(104)에 위치하는 차량운전자에게 식별할 수 있는 정보를 제공하는 하나 이상의 출차신호등(600A); 외에도 상기 출차검출부(300)는 인도A(107) 및 인도B(108)에 사람을 포함한 동물이 존재하는지 여부를 추가로 검출하며, 상기 출차검출부(300)의 검출 결과에 따라 색상, 기호, 도형, 영상, 이미지 중 어느 하나 이상을 이용하여 출차존A(104)에 위치하는 차량운전자에게 식별할 수 있는 정보를 제공하는 하나 이상의 출차신호등B(600B)를 추가로 포함하는 것을 특징으로 하는 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템을 제공한다. 이 경우 출차신호등A(600A)와 출차신호등B(600B)는 결합하여 설치되거나 하나의 출차신호등이 출차신호등A 및 출차신호등B를 겸할 수도 있다.In addition, as an additional means of the present invention for solving the above problems, the camera 100 additionally acquires an image of any one or more of the vehicle taking-out zone B 105 and the driving zone A 106, and the vehicle taking-out detection unit ( 300 further detects whether a vehicle exists in the exiting zone B 105 and/or the driving zone A 106, and whether a vehicle exists in the exiting zone B 105 and/or the driving zone A 106. One or more exit traffic lights 600A for providing identifiable information to the vehicle driver located in the exit zone A 104 using any one or more of a color, a symbol, a figure, an image, and an image depending on whether or not; In addition, the exit detection unit 300 additionally detects whether animals including humans exist in sidewalk A 107 and sidewalk B 108, and according to the detection result of the exit detection unit 300, color, symbol, figure , image, image recognition, characterized in that it further comprises one or more exit signal light B (600B) that provides identification information to the vehicle driver located in the exit zone A (104) using any one or more of the image It provides a technology-based Non-Stop parking lot exit control system. In this case, the exit signal light A (600A) and the exit signal light B (600B) may be installed in combination, or one exit signal light may serve as both the exit signal light A and the exit signal light B.

본 발명은 차량번호인식기(또는 차량번호인식 단계), 차량인식기(각종 센서류) 등을 포함하지 않고 다중객체인식, 다중객체추적 등과 같은 컴퓨터 비전 기술 기반의 지능형 주차관리 시스템을 제공함으로써 차량번호인식기(또는 차량번호인식 단계) 기반의 기존 지능형 주차관리 시스템에 비하여 조명, 해상도, 촬영 각도 등의 제반 여건 변화에 따른 인식률 저하를 원천적으로 개선함은 물론차량번호판 체계의 변경(7→8자리), 친환경 차량 전용번호판 부여 등과 같은 법제도의 개정이나 정부정책의 변화나 해외차량 유입 등에 따른 인식률 의존성(저하)도 원천적으로 개선할 수 있는 효과가 있으며, 출차 예정 차량의 사전 검출로 주차장 운영의 효율성을 제고할 수 있다. 아울러 신속하고 안전한 출차제어를 통해 주차장의 운용효율성을 제고하고 각종 안전사고를 예방할 수 있다.The present invention provides an intelligent parking management system based on computer vision technology such as multi-object recognition and multi-object tracking without including a vehicle number recognizer (or vehicle number recognition step), a vehicle recognizer (various sensors), etc. or license plate recognition stage) based on the existing intelligent parking management system, it fundamentally improves the reduction in recognition rate due to changes in various conditions such as lighting, resolution, and shooting angle, as well as changes in the license plate system (7→8 digits), eco-friendly Revision of the legal system such as granting exclusive license plates for vehicles, changes in government policies, and the influx of foreign vehicles can also fundamentally improve the dependence (decreased) of the recognition rate. can do. In addition, it is possible to improve the operating efficiency of the parking lot and prevent various safety accidents through quick and safe exit control.

본 발명을 첨부된 도면을 참조하여 상세히 설명하면 다음과 같다. The present invention will be described in detail with reference to the accompanying drawings as follows.

도 1은 본 발명에 따른 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템을 활용하는 일례를 도식으로 표현한 것으로, 카메라(100)는 PTZ 카메라 및 현재 상용제품으로 널리 판매 중인 CCTV용 카메라, 연산처리, 통신 등의 기능을 내장한 다기능카메라 등도 사용될 수 있으며, 차량의 진입, 이동 및 주차장의 영상을 촬영할 수 있는 입차존(101), 주차면(102), 이동로(103), 출차존(104,105), 주행존(106), 인도(107,108) 등의 장소를 촬영한다. 1 is a schematic representation of an example of using a non-stop parking lot exit control system based on image recognition technology according to the present invention, and the camera 100 is a PTZ camera and a CCTV camera that is widely sold as a commercial product, calculation processing, A multi-function camera with built-in functions such as communication can also be used, and the entry zone 101, parking surface 102, movement path 103, exit zone 104, 105 that can take images of vehicle entry, movement, and parking lot. , the driving zone 106, the sidewalks 107, 108, etc. are photographed.

검출추적부(200)는 상기 카메라(100)를 통해 획득한 영상에 대하여 다중객체인식(MOD) 등의 컴퓨터 비전 기술을 적용하여 차량들을 개별적으로 검출하고 고유번호를 부여한 후 추적하는 기능을 하며, R-CNN, Fast R-CNN, Faster R-CNN, YOLO(You Only Look Once)의 파생버전인 YOLO v2, YOLO 9000, YOLO v3, SSD, 등의 알고리즘을 활용하여 구현할 수 있다. The detection and tracking unit 200 applies computer vision technology such as multi-object recognition (MOD) to the image acquired through the camera 100 to individually detect vehicles, assign a unique number, and then track, It can be implemented using algorithms such as R-CNN, Fast R-CNN, Faster R-CNN, YOLO v2, YOLO 9000, YOLO v3, SSD, which are derivative versions of YOLO (You Only Look Once).

상기 출차검출부(300)는 상기 카메라(100)가 획득한 영상에 대하여 다중객체인식(MOD) 등의 컴퓨터 비전 기술을 적용하여 출차존에 차량이 존재하는지 여부와 추가로 인도에 사람을 포함한 동물 등을 검출하는 기능을 하며, R-CNN, Fast R-CNN, Faster R-CNN, YOLO(You Only Look Once)의 파생버전인 YOLO v2, YOLO 9000, YOLO v3, SSD, 등의 알고리즘을 활용하여 구현할 수 있다. The exit detection unit 300 applies computer vision technology such as multi-object recognition (MOD) to the image acquired by the camera 100 to determine whether a vehicle exists in the exit zone and additionally, animals including humans in India. It has a function to detect , and can be implemented using algorithms such as YOLO v2, YOLO 9000, YOLO v3, SSD, which are derivative versions of R-CNN, Fast R-CNN, Faster R-CNN, and YOLO (You Only Look Once). can

상기 알고리즘 중 R-CNN 알고리즘은 2014년 CVPR을 통해 발표된 “Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5)”을 통해, Fast R-CNN 알고리즘은 2015년 ICCV를 통해 발표된 “Fast R-CNN”을 통해, Faster R-CNN 알고리즘은 2015년 NIPS를 통해 발표된 “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”를 통해, YOLO v1, 9000(v2포함), v3 알고리즘은 각각 2016년 CVPR에 발표된 "You Only Look Once: Unified, Real-Time Object Detection", 2017년 CVPR에 발표된 "YOLO9000: Better, Faster, Stronger", 2018년 arXiv에 발표된 “YOLOv3: An Incremental Improvement” 등을 통해, SSD는 2016년 ECCV에 발표된 “SSD: Single Shot MultiBox Detector” 등을 통해 공개된 바 있다. Among the above algorithms, the R-CNN algorithm is the “Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5)” announced through CVPR in 2014, and the Fast R-CNN algorithm is the “Fast” announced through ICCV in 2015. Through “R-CNN”, the Faster R-CNN algorithm, through “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks” announced at NIPS in 2015, YOLO v1, 9000 (including v2), v3 The algorithms are “You Only Look Once: Unified, Real-Time Object Detection” presented at CVPR in 2016, “YOLO9000: Better, Faster, Stronger” at CVPR in 2017, and “YOLOv3: An” at arXiv in 2018, respectively. Through “Incremental Improvement”, etc., SSD has been revealed through “SSD: Single Shot MultiBox Detector” announced at ECCV in 2016.

상기 요금납부확인부(400)는 출차예정 차량의 주차요금 납부 여부를 검출하는 판단부로, MOT 기술을 통해 상기 검출추적부(200)에서 추적중인 차량의 정보를 받아, 요금수령 내역이 저장된 데이터베이스와 대조하여 해당 차량의 요금납부여부를 확인한다. 상기 데이터베이스는 총 세 가지의 계층으로 분류되며, 그 중 첫 번째로는 월주차 등의 사전등록된 차량들의 정보, 두 번째로는 당일 일정시간(15분 등 주차장 운영주체가 사전에 지정하고, 사용자들에게 공지하여 상호합의가 이루어진 시간과 5분 등의 오차범위의 여지를 합한 값) 내에 요금 지불이 완료되었으며, 해당 요금을 지불한 사용자가 지정 혹은 등록한 차량정보, 세 번째로는 상기 '일정시간' 이전에 요금지불이 완료되었으나, 실질적인 출차가 이루어지지 않은 차량의 정보로 이루어진다. The fee payment confirmation unit 400 is a determination unit that detects whether or not the parking fee of the vehicle scheduled to be pulled out is paid, and receives information of the vehicle being tracked by the detection and tracking unit 200 through the MOT technology, and includes a database and Check whether the vehicle has been paid or not. The database is classified into a total of three layers, among which the first is information of pre-registered vehicles such as monthly parking, and secondly, the parking lot operator specifies in advance for a certain time on the day (15 minutes, etc.), and The fee payment was completed within the time when mutual agreement was reached and the margin of error such as 5 minutes), and the vehicle information designated or registered by the user who paid the fee. ' It consists of information on vehicles for which payment has been completed before, but has not been actually pulled out.

상기 출차차단기(500)는 상기 요금납부확인부(400)에서 요금납부가 확인된 차량 중, 첫 번째와 두 번째 분류에 들어가 있는 차량의 경우, 해당 차량이 출차존에 위치하는 것이 검출추적부(200) 및 출차검출부(300)에서 확인이 되는 경우, 차단봉을 개방하는 방식으로 진행이 되며, 상기 데이터베이스 중 세 번째 분류에 들어가거나, 데이터베이스에 차량정보가 없는 차량이라면, 차단봉을 개방하지 않는 장치이다. The exit breaker 500 detects and tracks that the vehicle is located in the exit zone in the case of the vehicle in the first and second categories among the vehicles for which payment is confirmed by the fare payment confirmation unit 400 ( 200) and the vehicle exit detection unit 300, it proceeds in a manner that opens the blocking rod, and if the vehicle enters the third category of the database or does not have vehicle information in the database, it is a device that does not open the blocking rod. .

상기 출차신호등(600A,600B)은 인도(107,108)나 출차존 인근 인도 혹은 다른 출차존 및 주행존에 위치한 차량, 사람, 동물 혹은 장애물의 여부를 운전자에게 신호하는 장치로, 상기 카메라(100)의 출차존B(105)와 주행존A(106) 혹은 인도(107,108) 중 어느 하나 이상의 영상을 추가로 획득하고, 상기 출차검출부(300)의 출차존B(105)와 주행존A(106) 혹은 인도(107,108)에서의 차량, 사람, 동물 혹은 장애물의 여부를 검출하여 출차존A(104)에 위치하는 차량운전자 식별이 가능한 색상, 기호, 도형, 영상, 이미지 중 어느 하나 이상을 이용하여 시각적인 정보를 제공하는 장치이다. The exit traffic lights 600A and 600B are devices that signal to the driver whether there are vehicles, people, animals or obstacles located on the sidewalks 107 and 108 or adjacent sidewalks or other exiting zones and driving zones. An image of any one or more of the exit zone B 105 and the driving zone A 106 or the sidewalks 107 and 108 is additionally acquired, and the exiting zone B 105 and the driving zone A 106 of the exit detection unit 300 or Using any one or more of colors, symbols, figures, images, and images to detect the presence of vehicles, people, animals, or obstacles in the sidewalks 107 and 108 and identify the vehicle driver located in the exit zone A 104, visually A device that provides information.

따라서, 이 출원 명세서의 특허청구범위에 기재된 발명들은 발명의 상세한 설명에 의하여 뒷받침됨은 물론 이 기술이 속하는 기술 분야에서 통상의 지식을 가진 자가 이 발명의 출원 명세서에 기재된 사항을 바탕으로 용이하게 실시할 수 있음이 명백하다. Accordingly, the inventions described in the claims of this application are not only supported by the detailed description of the invention, but also those of ordinary skill in the art to which this technology pertains can easily carry out based on the matters described in the application of this invention. It is clear that it can

Claims (3)

입차존(101), 주차면(102), 이동로(103) 및 출차존A(104)을 포함하는 주차장의 영상을 획득하는 하나 이상의 카메라(100); 상기 카메라(100)가 획득한 영상에서 주차장에 입차한 차량들을 개별적으로 검출하고 고유번호를 부여한 후 추적하는 검출추적부(200); 상기 카메라(100)가 획득한 영상에서 출차존A(104)에 차량이 존재하는지 여부를 검출하는 출차검출부(300); 상기 검출추적부(200)가 추적중인 차량이 주차요금을 납부하였는지 여부를 확인하는 요금납부확인부(400); 요금을 납부한 차량이 출차존A(104)에 위치하는 경우 차단봉을 개방하는 출차차단기(500);을 포함하여 구성되는 것을 특징으로 하는 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템
One or more cameras 100 for obtaining an image of a parking lot including an entrance zone 101, a parking surface 102, a movement path 103, and an exit zone A 104; a detection and tracking unit 200 for individually detecting vehicles entering a parking lot from the image obtained by the camera 100, assigning a unique number, and tracking; an un-parking detection unit 300 for detecting whether a vehicle is present in the un-parking zone A 104 in the image obtained by the camera 100; a fee payment confirmation unit 400 for confirming whether the vehicle being tracked by the detection and tracking unit 200 has paid a parking fee; Non-Stop parking lot exit control system based on image recognition technology, characterized in that it includes; an exit breaker 500 that opens a blocking rod when the vehicle that has paid the fee is located in the exit zone A (104)
 상기 청구항 제1항에 있어서.
상기 카메라(100)는 출차존B(105)와 주행존A(106) 중 어느 하나 이상의 영상을 추가로 획득하고, 상기 출차검출부(300)는 출차존B(105) 및 주행존A(106)에 차량이 존재하는지 여부를 추가로 검출하며, 출차존B(105) 및 주행존A(106)에 차량이 존재하는지 여부에 따라 색상, 기호, 도형, 영상, 이미지 중 어느 하나 이상을 이용하여 출차존A(104)에 위치하는 차량운전자에게 식별할 수 있는 정보를 제공하는 하나 이상의 출차신호등(600A)을 추가로 포함하는 것을 특징으로 하는 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템
The method of claim 1 .
The camera 100 additionally acquires an image of any one or more of an un-parking zone B 105 and a driving zone A 106, and the un-parking detection unit 300 is configured to obtain an un-parking zone B 105 and a driving zone A 106. It is additionally detected whether a vehicle exists in the Non-Stop parking lot exit control system based on image recognition technology, characterized in that it additionally includes one or more exit traffic lights (600A) that provide identifiable information to a vehicle driver located in Zone A (104)
 상기 청구항 제2항에 있어서,
상기 카메라(100)는 인도A(107)와 인도B(108) 중 어느 하나 이상의 영상을 추가로 획득하고, 상기 출차검출부(300)는 인도A(107) 및 인도B(108)에 사람을 포함한 동물이 존재하는지 여부를 추가로 검출하며, 상기 출차신호등(600A)은 상기 출차검출부(300)의 검출 결과에 따라 색상, 기호, 도형, 영상, 이미지 중 어느 하나 이상을 이용하여 출차존A(104)에 위치하는 차량운전자에게 식별할 수 있는 정보를 제공하는 것을 특징으로 하는 영상인식 기술 기반 Non-Stop 주차장 출차 제어 시스템

The method according to claim 2,
The camera 100 additionally acquires an image of any one or more of the sidewalk A 107 and the sidewalk B 108, and the exit detection unit 300 includes a person on the sidewalk A 107 and the sidewalk B 108. It is additionally detected whether an animal is present, and the exit signal light 600A uses any one or more of a color, a symbol, a figure, an image, and an image according to the detection result of the exit detection unit 300 for exiting zone A (104). ), a non-stop parking lot exit control system based on image recognition technology, characterized in that it provides identifiable information to the vehicle driver located in the
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180032272A (en) 2016-09-22 2018-03-30 주식회사 모두컴퍼니 Parking management apparatus, method and system
KR20180111866A (en) 2016-01-28 2018-10-11 오크 가부시키가이샤 Parking management system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180111866A (en) 2016-01-28 2018-10-11 오크 가부시키가이샤 Parking management system
KR20180032272A (en) 2016-09-22 2018-03-30 주식회사 모두컴퍼니 Parking management apparatus, method and system

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