WO2022007633A1 - 出入口管控方法 - Google Patents

出入口管控方法 Download PDF

Info

Publication number
WO2022007633A1
WO2022007633A1 PCT/CN2021/101983 CN2021101983W WO2022007633A1 WO 2022007633 A1 WO2022007633 A1 WO 2022007633A1 CN 2021101983 W CN2021101983 W CN 2021101983W WO 2022007633 A1 WO2022007633 A1 WO 2022007633A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
person
recognition
feature
entrance
Prior art date
Application number
PCT/CN2021/101983
Other languages
English (en)
French (fr)
Inventor
盖征
甘立涛
常铮
王茁
陈志夺
Original Assignee
北京大兴投资集团有限公司
盖征
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京大兴投资集团有限公司, 盖征 filed Critical 北京大兴投资集团有限公司
Priority to DE212021000299.4U priority Critical patent/DE212021000299U1/de
Publication of WO2022007633A1 publication Critical patent/WO2022007633A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G06V40/25—Recognition of walking or running movements, e.g. gait recognition
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G07C9/253—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition visually
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/28—Individual registration on entry or exit involving the use of a pass the pass enabling tracking or indicating presence
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08—Detecting or categorising vehicles

Definitions

  • the present application relates to the field of access management in the field of smart city security, for example, to an access control method.
  • the present application provides an access control method, comprising:
  • a behavior instruction is sent to the pedestrian door of the personnel entrance and the vehicle barrier of the vehicle entrance and exit, and the switches of the pedestrian door and the vehicle barrier are controlled.
  • FIG. 1 is a schematic diagram of an identification process in an access control method with multiple identification functions provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of an area division process and a target extraction process provided by an embodiment of the present application.
  • the embodiment of the present application provides an access control method with multiple identification functions, the method is executed by access control equipment, and the method includes:
  • Both the image recognition and the IoT terminal sensor recognition are realized through a recognition process; the image recognition recognition process and the IoT terminal sensor recognition recognition process both include a target comparison process and an instruction execution process; the The recognition process of image recognition further includes: an image monitoring process, a region division process, and a target extraction process performed before the target comparison process.
  • FIG. 1 is a schematic diagram of a recognition process in an access control method with multiple recognition functions provided by an embodiment of the present application.
  • the recognition process in the access control method mainly includes an image monitoring process and an area division process. , the target extraction process, the target comparison process, and the execution instruction process.
  • the image monitoring process is used to monitor the sidewalks at the entrances and exits of people and the roadways at the entrances and exits of vehicles through one or more cameras to obtain the characteristics of people and vehicles according to the scene conditions.
  • Person features include at least one of face features and gait features
  • vehicle features include at least one of vehicle type, license plate, model, and color.
  • the types of vehicles generally include bicycles, electric vehicles, tricycles, Motorcycle, scooter, or motor vehicle.
  • the license plate of the motor vehicle can be identified, and for a vehicle without a license plate, only the identified vehicle type and the face feature are associated.
  • the entrance and exit control equipment includes IoT terminal sensors, which can identify RFID (Radio Frequency IDentification, RFID) cards, Electronic Toll Collection (Electronic Toll Collection, ETC) cards and other electronic tags, which can assist in image recognition.
  • RFID Radio Frequency IDentification, RFID
  • ETC Electronic Toll Collection
  • Image recognition can only identify the types of unlicensed vehicles such as bicycles, electric vehicles, tricycles, and old-fashioned scooters, but cannot identify the relevant information such as the owner.
  • the relevant information such as these belongings can be registered on electronic tags such as RFID cards and ETC cards.
  • Each vehicle is equipped with relevant electronic tags, which can be recognized by image recognition and sensor recognition at the same time, and the traffic information of people and vehicles can be recorded.
  • the area division process is used to divide the area monitored by the image monitoring process through the electronic picture frame according to the on-site situation, and divide the personnel identification area 21 from the sidewalk of the personnel entrance and exit from the vehicle entrance and exit.
  • the vehicle identification area 22 is divided in the roadway of the vehicle, so as to identify the person feature in the person identification area 21 and identify the person feature and the vehicle feature in the vehicle identification area 22 at the same time, which can reduce the identified area, Reduce the computational load of the device on the identification area.
  • the target extraction process is used to perform a target frame selection on the person 31 and the vehicle 32 when a person 31 and a vehicle 32 appear in the recognition area divided by the area division process, and select the target frame where the target frame selection is located.
  • Feature extraction is performed in the area, and the effective information of the person 31 and the vehicle 32 is further screened, thereby reducing the amount of calculation and shortening the identification time.
  • the target comparison process is used to compare the feature information extracted from the target extraction process with the feature information in the information database. If the comparison is successful, an authentication success instruction is sent, and if the comparison is unsuccessful, an authentication failure instruction is sent.
  • the information identified from the IoT terminal sensor is directly compared with the feature information in the information database. If the comparison is successful, an authentication success instruction is sent; if the comparison is unsuccessful, an authentication failure instruction is sent.
  • the execution instruction process is used to open the pedestrian door in the case where the authentication success instruction is received and the authentication success instruction indicates that the person has been successfully identified; in the case where the authentication success instruction is received and the authentication success instruction indicates that the vehicle authentication is successful , open the vehicle barrier.
  • the person 31 or the vehicle 32 is rejected according to a preset rule, or the person 31 or the vehicle 32 is temporarily authenticated, so that the person 31 or the vehicle 32 is temporarily authenticated. 32 provisionally passed.
  • alarm information is sent to the management background.
  • the access control method provided by the embodiment of the present application can automatically identify personnel characteristics, vehicle characteristics and electronic labels at the same time, and then control the behavior of pedestrian doors and vehicle gates, so as to realize the simultaneous control of personnel entrances and vehicle entrances and exits by one access control device. function, saving construction costs and reducing floor space.

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Human Computer Interaction (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computing Systems (AREA)
  • Social Psychology (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Traffic Control Systems (AREA)
  • Alarm Systems (AREA)

Abstract

一种出入口管控方法，包括：对待经过人员出入口的人员（31）以及待经过车辆出入口的车辆（32）进行图像识别，并在车辆配置有电子标签的情况下，对车辆的电子标签进行物联网终端传感器识别，获得人员特征和车辆特征；根据人员特征和车辆特征向人员出入口的人行门和车辆出入口的车辆道闸发送行为指令，控制人行门和车辆道闸开关。

Description

出入口管控方法
本申请要求在2020年07月08日提交中国专利局、申请号为202010651351.4的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及智慧城市安防领域的出入口管理领域，例如涉及一种出入口管控方法。
背景技术
生活中大部分的出入口是对人员和车辆进行统一管理，即出入口的人行区域和车行区域紧邻设置，行人经过人行区域，车辆经过车行区域。由于智能门禁设备只能识别人员信息，不具备识别车辆的功能，而车辆识别设备只能识别车辆，不能识别人员信息，导致需要同时在人行区域安装智能门禁设备，在车行区域安装车辆识别设备，使用两台设备对出入口进行监控，造成了资源的浪费。
发明内容
本申请提供一种出入口管控方法，包含：
对待经过人员出入口的人员以及待经过车辆出入口的车辆进行图像识别，并在所述车辆配置有电子标签的情况下，对所述车辆的电子标签进行物联网终端传感器识别，获得人员特征和车辆特征；
根据所述人员特征和所述车辆特征向所述人员出入口的人行门和所述车辆出入口的车辆道闸发送行为指令，控制所述人行门和所述车辆道闸开关。
附图说明
图1是本申请实施例提供的一种具有多种识别功能的出入口管控方法中的识别进程的示意图；
图2是本申请实施例提供的一种区域划分进程以及目标提取进程的示意图。
具体实施方式
下面将结合本申请的附图，对本申请的技术方案进行描述。
本申请实施例提供一种具有多种识别功能的出入口管控方法，该方法由出 入口管控设备执行，该方法包括：
对待经过人员出入口的人员以及待经过车辆出入口的车辆进行图像识别，并在所述车辆配置有电子标签的情况下，对所述车辆的电子标签进行物联网终端传感器识别，获得人员特征和车辆特征；根据所述人员特征和所述车辆特征向所述人员出入口的人行门和所述车辆出入口的车辆道闸发送行为指令，控制所述人行门和所述车辆道闸开关。
所述图像识别和所述物联网终端传感器识别均通过识别进程实现；所述图像识别的识别进程和所述物联网终端传感器识别的识别进程均包括目标比对进程、以及执行指令进程；所述图像识别的识别进程还包括：在所述目标比对进程之前执行的图像监测进程、区域划分进程、以及目标提取进程。
图1是本申请实施例提供的一种具有多种识别功能的出入口管控方法中的识别进程的示意图，如图1所示，该出入口管控方法中的识别进程主要包含图像监测进程、区域划分进程、目标提取进程、目标比对进程、以及执行指令进程。
S1：图像监测进程。
图像监测进程用于根据现场情况，通过一个或多个摄像头监测人员出入口的人行道和车辆出入口的车行道，以获得人员特征和车辆特征。
人员特征包含人脸特征、以及步态特征中的至少之一，车辆特征包含车辆的类型、车牌、车型、以及颜色等特征中的至少之一，车辆的类型一般有自行车、电动车、三轮车、摩托车、老年代步车、或机动车。当车辆类型为机动车时，可以对机动车的车牌进行识别，对于没有车牌的车辆，只将识别出的车辆类型和人脸特征做关联。
出入口管控设备包括物联网终端传感器，物联网终端传感器可以识别射频识别(Radio Frequency IDentification，RFID)卡，电子不停车收费(Electronic Toll Collection，ETC)卡等电子标签，可以辅助图像识别。
图像识别只能识别自行车、电动车、三轮车、以及老年代步车等无牌车辆的种类，不能识别出与之相关的归属人等相关信息。而这些归属人等相关信息可以登记在RFID卡，ETC卡等电子标签上，每个车辆配有相关的电子标签，图像识别和传感器识别同时识别，记录人车通行信息。
S2：区域划分进程。
如图2所示，区域划分进程用于根据现场情况，通过电子画框对图像监测进程监测出的区域进行划分，从所述人员出入口的人行道中划分出人员识别区域21、从所述车辆出入口的车行道中划分出车辆识别区域22，以在所述人员识 别区域21内识别人员特征并在所述车辆识别区域22内同时识别所述人员特征和所述车辆特征，可减少识别的区域，减少设备对识别区域的计算承载量。
S3：目标提取进程。
如图2所示，目标提取进程用于在区域划分进程划分的识别区域内出现人员31和车辆32时，对出现的所述人员31和所述车辆32进行目标框选，在目标框选所在区域内进行特征提取，进一步筛选所述人员31和所述车辆32的有效信息，减少计算量，缩短识别时间。
S4：目标比对进程。
目标比对进程用于将从目标提取进程中提取出的特征信息与信息库里的特征信息进行对比，若比对成功，发送认证成功指令，若比对不成功，发送认证失败指令。将从物联网终端传感器识别出的信息直接与信息库里的特征信息进行对比，若比对成功，发送认证成功指令，若比对不成功，发送认证失败指令。
S5：执行指令进程。
执行指令进程用于在收到认证成功指令且所述认证成功指令指示人员识别成功的情况下，开启人行门；在收到所述认证成功指令且所述认证成功指令指示车辆认证成功的情况下，开启车辆道闸。在收到比对失败指令的情况下，根据预设规则拒绝所述人员31或所述车辆32通过或者对所述人员31或所述车辆32进行临时认证，使得所述人员31或所述车辆32临时通过。在所述人员31或所述车辆32强行通过时向管理后台发送报警信息。
本申请实施例提供的出入口管控方法，可以同时自动识别人员特征、车辆特征和电子标签，进而控制人行门行为和车辆道闸行为，实现一台出入口管控设备同时对人员出入口和车辆出入口进行管控的功能，节约建设成本和减少占地面积。

Claims (9)

  1. 一种出入口管控方法，包括：
    对待经过人员出入口的人员以及待经过车辆出入口的车辆进行图像识别，并在所述车辆配置有电子标签的情况下，对所述车辆的电子标签进行物联网终端传感器识别，获得人员特征和车辆特征；
    根据所述人员特征和所述车辆特征向所述人员出入口的人行门和所述车辆出入口的车辆道闸发送行为指令，控制所述人行门和所述车辆道闸开关。
  2. 根据权利要求1所述的方法，其中，所述图像识别和所述物联网终端传感器识别均通过识别进程实现；
    所述图像识别的识别进程和所述物联网终端传感器识别的识别进程均包括目标比对进程、以及执行指令进程；
    所述图像识别的识别进程还包括：在所述目标比对进程之前执行的图像监测进程、区域划分进程、以及目标提取进程。
  3. 根据权利要求2所述的方法，其中，所述图像监测进程用于根据现场情况，通过至少一个摄像头监测所述人员出入口的人行道和所述车辆出入口的车行道。
  4. 根据权利要求1所述的方法，其中，所述人员特征包括人体体征，所述人体体征包含人脸特征和步态特征中的至少之一，所述车辆特征包括所述车辆的类型、车牌、车型、以及颜色中的至少之一，所述车辆的类型包括自行车、电动车、三轮车、摩托车、老年代步车、或机动车。
  5. 根据权利要求1所述的方法，其中，所述物联网终端传感器识别用于辅助所述图像识别，所述电子标签包括射频识别RFID卡，以及电子不停车收费ETC卡。
  6. 根据权利要求3所述的方法，其中，所述区域划分进程用于根据现场情况，通过电子画框对所述图像监测进程监测出的区域进行划分，从所述人员出入口的人行道中划分出人员识别区域、从所述车辆出入口的车行道中划分出车辆识别区域，以在所述人员识别区域内识别所述人员特征并在所述车辆识别区域内同时识别所述人员特征和所述车辆特征。
  7. 根据权利要求6所述的方法，其中，所述目标提取进程用于在所述区域划分进程划分出的识别区域内出现所述人员和所述车辆的情况下，对出现的所述人员和所述车辆进行目标框选，在所述目标框选所在区域内进行特征提取。
  8. 根据权利要求7所述的方法，其中，所述目标比对进程用于将从所述目标提取进程中提取出的特征信息与信息库里的特征信息进行对比，在比对成功的情况下，发送认证成功指令，在比对不成功的情况下，发送认证失败指令；将 从所述物联网终端传感器识别出的信息直接与所述信息库里的特征信息进行对比，在比对成功的情况下，发送所述认证成功指令，在比对不成功的情况下，发送所述认证失败指令。
  9. 根据权利要求8所述的方法，其中，所述执行指令进程用于在收到所述认证成功指令且所述认证成功指令指示人员识别成功的情况下，开启所述人行门或所述车辆道闸；在收到所述认证成功指令且所述认证成功指令指示车辆认证成功的情况下，开启所述车辆道闸；在收到所述比对失败指令的情况下，根据预设规则拒绝所述人员或所述车辆通过或者对所述人员或所述车辆进行临时认证，使得所述人员或所述车辆临时通过。
PCT/CN2021/101983 2020-07-08 2021-06-24 出入口管控方法 WO2022007633A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DE212021000299.4U DE212021000299U1 (de) 2020-07-08 2021-06-24 Eingangs- und Ausgangsverwaltungs- und Steuerungsvorrichtung

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010651351.4 2020-07-08
CN202010651351.4A CN111696243A (zh) 2020-07-08 2020-07-08 一种具有多种识别功能的出入口管控设备

Publications (1)

Publication Number Publication Date
WO2022007633A1 true WO2022007633A1 (zh) 2022-01-13

Family

ID=72485055

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/101983 WO2022007633A1 (zh) 2020-07-08 2021-06-24 出入口管控方法

Country Status (3)

Country Link
CN (1) CN111696243A (zh)
DE (1) DE212021000299U1 (zh)
WO (1) WO2022007633A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111696243A (zh) * 2020-07-08 2020-09-22 北京大兴投资集团有限公司 一种具有多种识别功能的出入口管控设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679196A (zh) * 2013-12-05 2014-03-26 河海大学 视频监控中的人车自动分类方法
CN107862248A (zh) * 2017-10-17 2018-03-30 江苏跃鑫科技有限公司 一种车辆和行人的识别方法
CN108710857A (zh) * 2018-05-22 2018-10-26 深圳前海华夏智信数据科技有限公司 基于红外补光的人车识别方法及装置
CN109961026A (zh) * 2019-03-12 2019-07-02 天津瑟威兰斯科技有限公司 一种基于树莓派的一体式车牌人脸识别方法及模块
CN111696243A (zh) * 2020-07-08 2020-09-22 北京大兴投资集团有限公司 一种具有多种识别功能的出入口管控设备

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679196A (zh) * 2013-12-05 2014-03-26 河海大学 视频监控中的人车自动分类方法
CN107862248A (zh) * 2017-10-17 2018-03-30 江苏跃鑫科技有限公司 一种车辆和行人的识别方法
CN108710857A (zh) * 2018-05-22 2018-10-26 深圳前海华夏智信数据科技有限公司 基于红外补光的人车识别方法及装置
CN109961026A (zh) * 2019-03-12 2019-07-02 天津瑟威兰斯科技有限公司 一种基于树莓派的一体式车牌人脸识别方法及模块
CN111696243A (zh) * 2020-07-08 2020-09-22 北京大兴投资集团有限公司 一种具有多种识别功能的出入口管控设备

Also Published As

Publication number Publication date
CN111696243A (zh) 2020-09-22
DE212021000299U1 (de) 2022-09-30

Similar Documents

Publication Publication Date Title
CN104794901B (zh) 停车场车辆防盗系统及停车场车辆管理方法
CN205656683U (zh) 一种无人值守超市门禁装置
CN109636990A (zh) 一种基于rfid检测与人脸识别的小区电动车管理系统及方法
WO2022007633A1 (zh) 出入口管控方法
CN111833504B (zh) 门禁系统及其控制方法、电子设备
CN112509325B (zh) 一种基于视频深度学习的非现场违法自动甄别方法
WO2021204302A1 (zh) 智能门禁设备
CN106898073A (zh) 一种岗哨一体化系统
CN202058304U (zh) 停车场车辆监管系统
Ali et al. License plate recognition system
CN214410127U (zh) 一种具有多种识别功能的出入口管控设备
KR100928036B1 (ko) 알에프 아이디를 이용한 차량번호 자동관리 시스템 및서비스 제공방법
KR20180137155A (ko) 스마트 셉테드 기반의 접근 제어 강화 시스템 및 그 방법
JP5996379B2 (ja) 車輛入退場管理装置
CN206961198U (zh) 一种多重身份认证的综合门禁系统
CN115830761A (zh) 闸机通行标注方法、装置、计算机设备和存储介质
KR102004998B1 (ko) 무단패스 방지 시스템
CN109102598A (zh) 一种自行车专用道综合管理系统
KR102039404B1 (ko) 영상 감시 시스템 및 그 방법
CN208240110U (zh) 一种自行车专用道综合管控系统
CN110853213A (zh) 一种机场双目安检闸机
TWI467517B (zh) 車輛進出入管制系統以及方法
CN207249772U (zh) 客运站视频红外检测智能门禁设备
CN111640227A (zh) 一种票务闸机自动检验系统及其检验方法
CN110969094A (zh) 一种交通灯管理装置及方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21838643

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 21838643

Country of ref document: EP

Kind code of ref document: A1