CN110728211A - Subway security check queuing guide method and device and storage medium - Google Patents

Subway security check queuing guide method and device and storage medium Download PDF

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CN110728211A
CN110728211A CN201910910737.XA CN201910910737A CN110728211A CN 110728211 A CN110728211 A CN 110728211A CN 201910910737 A CN201910910737 A CN 201910910737A CN 110728211 A CN110728211 A CN 110728211A
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people
queuing
subway
background server
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汪超飞
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Evergrande Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53Recognition of crowd images, e.g. recognition of crowd congestion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C11/00Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/06Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L67/00Network arrangements or protocols for supporting network services or applications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C11/00Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
    • G07C2011/04Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere related to queuing systems

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Abstract

The subway security check queuing guide method comprises the following steps: arranging a plurality of cameras for each security inspection opening area of the subway to cover the whole pedestrian flow area of each security inspection opening; the background server acquires the people flow data of each security check area uploaded by the camera; the background server calculates according to the people flow data to generate index parameters for representing people flow density; and the background server generates a display control message according to the index parameter, and sends the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway. The invention effectively relieves the congestion condition of subway security inspection.

Description

Subway security check queuing guide method and device and storage medium
Technical Field
The embodiment of the invention relates to the field of data analysis, in particular to a subway security check queuing guide method, a subway security check queuing guide device and a storage medium.
Background
Subways have taken the main task of passenger transportation in many urban traffics and have the characteristic of large passenger carrying flow. At the current ground drop station, the passenger flow of each security inspection port is not monitored in real time. During rush hours, especially holidays in spring transportation and other festivals, the flow of people is huge, the flow of people at each security inspection opening and ticket checking opening is not uniform easily, the condition that the individual security inspection openings queue for a long time is caused, and the travel time of individuals is seriously wasted.
Disclosure of Invention
In order to solve the above problem, an embodiment of the present invention provides a method for guiding queuing based on subway security inspection, including the following steps:
arranging a plurality of cameras for each security inspection opening area of the subway to cover the whole pedestrian flow area of each security inspection opening;
the background server acquires the people flow data of each security check area uploaded by the camera;
the background server calculates according to the people flow data to generate index parameters for representing people flow density;
and the background server generates a display control message according to the index parameter, and sends the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway.
Preferably, the traffic data includes a number of monitored area population.
Preferably, the index parameters of the people stream density include queuing time and queuing number.
Preferably, the step of calculating by the background server according to the people flow data to generate an index parameter for representing people flow density includes:
the background server is provided with a plurality of variables which respectively represent each security inspection opening area;
calculating the pedestrian flow of each security inspection port through a preset training model according to the received pedestrian flow data of each security inspection port, so as to obtain the queuing time and the queuing number of people corresponding to each security inspection port;
and assigning the queuing time and the number of the queuing people to corresponding variables.
Preferably, the training model comprises the relationship between the pedestrian volume in each period time and the queuing number.
Preferably, the step of generating the display control message by the background server according to the index parameter includes:
the background server converts the number of the queuing people into text data according to the number of the queuing people, and pulls corresponding chartlets according to the number of the queuing people to generate image data;
and packaging the text data and the image data to generate a display control message.
Preferably, the step of generating image data by pulling the corresponding map according to the number of people in the queue includes:
accessing a variable numerical value of the number of queuing people, and judging the interval to which the numerical value belongs;
and selecting one of three preset human body maps of red, yellow and green according to the interval, wherein the red color is used for representing too many people, the yellow color is used for representing moderate people, and the green color is used for representing less people.
Preferably, the step of calculating by the background server according to the people flow data to generate an index parameter for representing the people flow density includes:
Figure BDA0002214640940000021
wherein r is the number of people in the queue, x is the passing rate of the security inspection, y is the queuing time, and c is the time of the emergency.
The present invention also provides a queuing guidance device, comprising:
the image module is used for arranging a plurality of cameras for each security inspection opening area of the subway so as to cover the whole pedestrian flow area of each security inspection opening;
the acquisition module is used for acquiring people flow data of each security check area uploaded by the camera by the background server;
the computing module is used for computing the background server according to the people flow data to generate index parameters for representing people flow density;
and the display module is used for generating a display control message according to the index parameter by the background server and sending the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway.
The present invention also provides a computer storage medium storing a computer program capable of being executed by at least one processor, the method for guiding the safety inspection queuing of the subway.
According to the subway security check queuing guidance method, the device and the storage medium provided by the embodiment of the invention, the passenger flow in the security check port area of each subway station is counted through the passenger flow camera, and data are reported to the background service center at regular time; through background calculation, the number of people who queue at each security inspection port, the approximate queuing time and the number of people who stay in the station are transmitted to a subway port screen for displaying in real time, so that the passengers who are about to enter can decide to plan for travel, and the congestion condition is relieved.
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FIG. 1 is a flow chart illustrating steps of a subway security inspection queuing guidance method according to the present invention;
FIG. 2 is a block diagram of a queue guide apparatus according to the present invention;
fig. 3 is a schematic diagram of a hardware structure of the computer device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used to describe the designated key in the embodiments of the present invention, the designated key should not be limited to these terms. These terms are only used to distinguish specified keywords from each other. For example, the first specified keyword may also be referred to as the second specified keyword, and similarly, the second specified keyword may also be referred to as the first specified keyword, without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as referring to "at … …" or "when … …" or "corresponding to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or time)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Referring to fig. 1, an embodiment of the present invention provides a subway security check queuing guidance method, including:
step S100, a plurality of cameras are arranged in each security inspection opening area of the subway so as to cover the whole pedestrian flow area of each security inspection opening.
Generally, for guaranteeing the security, the subway needs to carry out the machine inspection to the parcel that each passenger carried, and the parcel is placed and is carried out the machine inspection and need be for a certain time at the track, consequently under the more condition of traffic of people, the security installations mouth leads to the fact the condition of lining up or even blocking up easily, and subway managers is limited, and the organization management population dynamics is limited, consequently takes place easily that population too gathers and causes the incident such as trample, very insecure.
Thus, several cameras are arranged at each security checkpoint for detecting the flow of people. The existing advanced cameras have the function of image recognition and analysis, and the cameras can directly report the number of people in the current monitoring area to a background.
And step S200, the background server acquires the pedestrian volume data of each security inspection opening area uploaded by the camera.
Specifically, the uploaded background network address is set for the camera. The camera is provided with a hardware operating platform which can be configured by technicians, and the technicians can set the network address uploaded by the background through the hardware operating platform, so that the camera can upload the identified people flow to the background server through the set uploading frequency. Exemplary are as follows:
Set upload address”106.12.10.1”
the above is an exemplary setting, "106.12.10.1" is a backend server network address, and when the configuration is written into the camera, the camera will upload the identified traffic to the backend server network address, and in addition, the uploading frequency of the camera can also be set in the hardware operating platform.
And step S300, the background server calculates according to the people flow data to generate index parameters for representing people flow density.
Specifically, after receiving the people flow data uploaded by the camera, the background server calculates index parameters for representing the people flow density according to a preset training model and the uploaded people flow data. Therefore, calculation is performed, and real-time data conversion is performed, if people flow data is directly displayed to passengers at an entrance, the passengers do not actually know that the people flow means crowding or few people, and the sizes of all stations are inconsistent, so that data conversion calculation is required to be performed, and the data is converted into index parameters which are easily and quickly understood by the passengers.
Illustratively, a certain subway station has 4 station ports, which are respectively an a port, a B port, a C port and a D port, wherein at the time of 5 o' clock, the comprehensive data reported by each camera is 35 persons at the a port, 3 persons at the B port, 6 persons at the C port and 26 persons at the D port, so that the data form an array or a matrix, the array or the matrix is transmitted to a stored training model, and the waiting time of the a port is calculated to be 18 seconds, the waiting time of the B port is calculated to be 3 seconds, the waiting time of the C port is calculated to be 5 seconds, and the waiting time of the D port is calculated to be 15 seconds.
And S400, the background server generates a display control message according to the index parameters, and sends the display control message to a screen for displaying, wherein the screen is arranged at an outlet of each safety inspection port of the subway.
Specifically, after the index parameter is generated, the background server generates a display control message according to the index parameter, wherein the display control message can be sent to a display screen erected at an exit (i.e. an entrance) of each security inspection port of the subway for display by the index parameter and/or an image corresponding to the index parameter.
In addition, the display screen is most preferably arranged at each exit of the subway, so that passengers can know the queuing condition of each security inspection port before entering the station, and the phenomenon that the security inspection ports cannot be changed because no line-changing channel without security inspection exists in part of stations is avoided.
The invention provides a subway security check queuing guidance method, which is characterized in that the passenger flow in the security check area of each subway station is counted by a passenger flow camera, and data is reported to a background service center at regular time; through the calculation of the background, the number of people queuing at each safety inspection port, the approximate queuing time and the number of people staying in the station are transmitted to the subway port screen for displaying in real time so as to be used for the decision-making planning of the outgoing of the passengers coming into the station, and the problem of over-congestion of part of the safety inspection ports is solved.
Optionally, the people flow data includes a number of monitored areas.
Specifically, the traffic data may be the total population of the monitored area, which is as follows:
and D is 35, wherein D is the ID of the D port of the security inspection port.
Optionally, the index parameters of the people stream density include queuing time and the number of people in the queue.
Optionally, in step S300, the step of calculating, by the background server according to the people flow data, and generating an index parameter for representing the people flow density includes:
in step S310, the background server sets a plurality of variables, each of which represents each security checkpoint area.
Specifically, the background server is provided with a plurality of variables which are respectively used for representing each security inspection opening area, because the number of the cameras in a partial area is more than one, the variables need to be set and the number of the cameras is superposed,
illustratively, a variable X is provided to represent the number of people in the security inspection portal a, and the security inspection portal a is provided with two cameras 001 and 002, the number of people reported by the camera 001 is 35, the number of people reported by the camera 002 is 22, so that X is 35+22, and the output value of X is 57.
In addition, it should be noted that the monitoring areas of the cameras set by the single security inspection ports cannot be overlapped.
Step S320, according to the received people flow data of each security inspection opening, the people flow of each security inspection opening is calculated through a preset training model, and therefore the queuing time and the queuing number of people corresponding to each security inspection opening are obtained.
Specifically, the background server is provided with a training model for calculating the people flow data of the security inspection opening, exemplarily continues the exemplary scenario set forth in S310 to obtain X, that is, 57 people at the security inspection opening a, and calculates through the training model to obtain the queuing time and the queuing number, and the specific training model will be set forth below.
And step S330, assigning the queuing time length and the number of the queuing people to corresponding variables.
After the calculation is completed, the calculation result is assigned to corresponding variables, such as a queuing time variable X1 of a security inspection port A and a queuing number X2.
Optionally, the training model includes a relationship between the flow rate of people in each cycle time and the queuing time and the number of people in the queue.
Optionally, in step S400, the step of generating, by the background server, the display control message according to the index parameter includes:
and S410, converting the number of the people in the queue into text data by the background server, and pulling the corresponding chartlet according to the number of the people in the queue to generate image data.
Step S420 encapsulates the text data and the image data to generate a display control message.
Illustratively, if the generated queuing time is 15 seconds and the number of people in the queue is 30, converting the queuing time of 15 seconds into a notepad text, and pulling corresponding chartlet data according to the number of people in the queue of 30 to form a jpg-format image, wherein the relationship table of the number of people in the queue corresponding to the chartlets is exemplarily as follows:
number of people Number of pictures stuck Paste color
0-10 1 Green
10-30 2 Yellow colour
More than 30 3 Red wine
As shown in the table above, the number of people in the queue is 30, the people belong to the second section, two pasters are copied, one yellow layer is covered on each of the two pasters, the final file is stored to form a jpg format image, the format image and the note book text are sent to a display screen to be displayed, and the setting of the format can enable a low-configuration or low-intelligence screen to be identified as well.
Optionally, the step of pulling the corresponding map to generate the image data according to the number of people in the queue includes:
accessing a variable numerical value of the number of queuing people, and judging the interval to which the numerical value belongs;
and selecting one of three preset human body maps of red, yellow and green according to the interval, wherein the red color is used for representing too many people, the yellow color is used for representing moderate people, and the green color is used for representing less people.
Optionally, the step of calculating, by the background server, according to the people flow data to generate an index parameter for representing the people flow density includes:
Figure BDA0002214640940000081
wherein r is the number of people in the queue, x is the passing rate of the security inspection, y is the queuing time, and c is the time of the emergency.
Specifically, the pre-stored training model described in the foregoing is a function, y, x, and r are constants, and c is a variable, and often, it is often predicted that some people struggle with case personnel in the subway, or there are prohibited articles in the package, which leads to events such as security inspection stagnation, which occur with a high frequency during spring transportation or a holiday, so that the duration of the emergency is added to the model as a variable, and the historical data is used to train c, for example, the number of the emergency in 5 months is only 1, the probability is very low, so the value assigned to c is 0.15, while the number of the emergency in national celebration in 10 months is 30, the frequency is very high, and therefore the assignment to c needs to be increased to 3 seconds.
Referring to fig. 2, the present invention further provides a queuing guidance apparatus, including:
the image module is used for arranging a plurality of cameras for each security inspection opening area of the subway so as to cover the whole pedestrian flow area of each security inspection opening;
the acquisition module is used for acquiring people flow data of each security check area uploaded by the camera by the background server;
the computing module is used for computing the background server according to the people flow data to generate index parameters for representing people flow density;
and the display module is used for generating a display control message according to the index parameter by the background server and sending the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway.
Please refer to fig. 3, which is a schematic diagram of a hardware architecture of a computer device according to an embodiment of the present invention. In the present embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and/or information processing in accordance with a command set or stored in advance. The computer device 2 may be a personal computer, a tablet computer, a mobile phone, a smartphone, or a rack server, a blade server, a tower server, or a rack server (including an independent server or a server cluster composed of a plurality of servers) for providing virtual clients. As shown, the computer device 2 includes, but is not limited to, at least a memory 21, a processor 22, a network interface 23, andqueuing guide device20, wherein:
in this embodiment, the memory 21 includes at least one type of computer-readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 21 may be an internal storage unit of the computer device 2, such as a hard disk or a memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (Secure Digital) SD Card, a Flash memory Card (Flash Card), etc. provided on the computer device 20, although the memory 21 may also include both an internal storage unit and an external storage device of the computer device 2. In this embodiment, the storage 21 is used for storing the operating system and various applications installed in the computer device 2By software, e.g.Queuing guide device20, etc. Further, the memory 21 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 22 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data Processing chip in some embodiments. The processor 22 is typically used to control the overall operation of the computer device 2. In this embodiment, the processor 22 is used for executing program codes stored in the memory 21 or processing data, such as executingQueuing guide device20 to implement takeaway personnel basedSubway security inspection queuing guideA method.
The network interface 23 may comprise a wireless network interface or a limited network interface, and the network interface 23 is typically used for establishing a communication connection between the computer device 2 and other electronic apparatuses. For example, the network interface 23 is used to connect the computer device 2 with an external terminal necklace, establish a data transmission channel and a communication connection between the computer device 2 and an external interrupt, and the like via a network. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, and the like.
In the present embodiment, the data stored in the memory 21Queuing guide device20 may also be divided into one or more program modules that are stored in memory 21 and executed by one or more processors, such as processor 22 in this embodiment, to carry out the invention.
In addition, the present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, and the likeMemory, magnetic disks, optical disks, servers, App application malls, etc., having stored thereon computer programs that, when executed by a processor, implement the corresponding functions. The computer-readable storage medium of the embodiment is used for storingQueuing guide device20, when executed by a processor, implement the inventionSubway security inspection queuing guideA method.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly used in other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A subway security check queuing guidance method is characterized by comprising the following steps:
arranging a plurality of cameras for each security inspection opening area of the subway to cover the whole pedestrian flow area of each security inspection opening;
the background server acquires the people flow data of each security check area uploaded by the camera;
the background server calculates according to the people flow data to generate index parameters for representing people flow density;
and the background server generates a display control message according to the index parameter, and sends the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway.
2. A subway security check queuing guidance method as claimed in claim 1, wherein said traffic data includes number of monitored area population.
3. A subway security check queuing guidance method according to claim 2, wherein said index parameters of people stream density include queuing time and queuing number.
4. A subway security check queuing guidance method according to claim 3, wherein said step of calculating by said background server according to said people flow data and generating index parameters for representing people flow density comprises:
the background server is provided with a plurality of variables which respectively represent each security inspection opening area;
calculating the pedestrian flow of each security inspection port through a preset training model according to the received pedestrian flow data of each security inspection port, so as to obtain the queuing time and the queuing number of people corresponding to each security inspection port;
and assigning the queuing time and the number of the queuing people to corresponding variables.
5. A subway security check queuing guidance method according to claim 4, wherein said training model includes the relation between the pedestrian volume of each cycle time and the queuing time and the number of people in queue.
6. The subway security check queuing guidance method according to claim 3, wherein the step of generating the display control message by the background server according to the index parameter comprises:
the background server converts the number of the queuing people into text data according to the number of the queuing people, and pulls corresponding chartlets according to the number of the queuing people to generate image data;
and packaging the text data and the image data to generate a display control message.
7. The subway security check queuing guidance method according to claim 6, wherein said step of pulling corresponding map generation image data according to the number of people in queue comprises:
accessing a variable numerical value of the number of queuing people, and judging the interval to which the numerical value belongs;
and selecting one of three preset human body maps of red, yellow and green according to the interval, wherein the red is used for representing too many people, the yellow is used for representing moderate people, and the green is used for representing less people.
8. A subway security check queuing guidance method according to claim 3, wherein the step of calculating by the background server according to the people flow data and generating index parameters for representing people flow density comprises:
Figure FDA0002214640930000021
wherein r is the number of people in the queue, x is the passing rate of the security inspection, y is the queuing time, and c is the time of the emergency.
9. A queuing guidance apparatus, comprising:
the image module is used for arranging a plurality of cameras for each security inspection opening area of the subway so as to cover the whole pedestrian flow area of each security inspection opening;
the acquisition module is used for acquiring the people flow data of each security check area uploaded by the camera by the background server;
the computing module is used for computing the background server according to the people flow data to generate index parameters for representing people flow density;
and the display module is used for generating a display control message according to the index parameter by the background server and sending the display control message to a screen for displaying, wherein the screen is arranged at each safety inspection port outlet of the subway.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program capable of being executed by at least one processor to perform a method of subway security screening queuing guidance as claimed in claims 1 to 8.
CN201910910737.XA 2019-09-25 2019-09-25 Subway security check queuing guide method and device and storage medium Pending CN110728211A (en)

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CN113012335A (en) * 2021-03-22 2021-06-22 上海工程技术大学 Subway platform guide queuing system based on YOLOv3 face detection
CN114220203A (en) * 2021-11-29 2022-03-22 苏州雷格特智能设备股份有限公司 Replace artifical current-limiting's of high-speed railway safety inspection binocular floodgate machine
CN114408446A (en) * 2022-01-28 2022-04-29 珠海世纪鼎利科技股份有限公司 Control method of safety inspection automatic conveying belt

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CN113012335A (en) * 2021-03-22 2021-06-22 上海工程技术大学 Subway platform guide queuing system based on YOLOv3 face detection
CN114220203A (en) * 2021-11-29 2022-03-22 苏州雷格特智能设备股份有限公司 Replace artifical current-limiting's of high-speed railway safety inspection binocular floodgate machine
CN114408446A (en) * 2022-01-28 2022-04-29 珠海世纪鼎利科技股份有限公司 Control method of safety inspection automatic conveying belt

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