CN112767706A - Parking lot vehicle access management method and system based on Internet of things - Google Patents

Parking lot vehicle access management method and system based on Internet of things Download PDF

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CN112767706A
CN112767706A CN202011573125.5A CN202011573125A CN112767706A CN 112767706 A CN112767706 A CN 112767706A CN 202011573125 A CN202011573125 A CN 202011573125A CN 112767706 A CN112767706 A CN 112767706A
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vehicle
parking lot
information
parking
appearance
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CN112767706B (en
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余丹
王丹星
兰雨晴
杨文昭
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Zhongbiao Huian Information Technology Co Ltd
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Zhongbiao Huian Information Technology Co Ltd
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    • 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
    • G06V20/00—Scenes; Scene-specific elements
    • 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
    • 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
    • G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration
    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • 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

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Abstract

The invention provides a parking lot vehicle access management method and system based on the Internet of things, wherein a vehicle driving into a parking lot and a vehicle driving out of the parking lot are shot in an access area of the parking lot to obtain a corresponding first image and a second image, the first image and the second image are analyzed and processed to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally whether a vehicle is in a parking safety accident or not is determined based on the Internet of things to determine the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information and to perform adaptive access control, so that the intelligent degree and the automatic degree of vehicle parking management are improved to the maximum extent, and the vehicle management level of the parking lot is improved.

Description

Parking lot vehicle access management method and system based on Internet of things
Technical Field
The invention relates to the technical field of parking lot management, in particular to a parking lot vehicle access management method and system based on the Internet of things.
Background
Currently, a parking lot is usually provided with a corresponding video monitoring device to monitor the driving and/or parking state of a vehicle inside the parking lot, so as to facilitate indication of the vehicle entering and exiting the parking lot. However, because the amount of vehicle access per day is very large and the corresponding vehicle driving road conditions are also complex inside a parking lot, especially a large parking lot, the vehicles inevitably collide during the driving and/or parking process inside the parking lot, and the driver cannot find the corresponding collision condition in time. The parking lot in the prior art can not determine whether the vehicle has a parking safety accident according to the conditions of the vehicle before and after the vehicle enters or exits the parking lot, so that the intelligentization and automation degree of vehicle parking management is seriously influenced, and meanwhile, the vehicle which has the parking safety accident is not favorable for timely management and control, so that the normal management of the parking lot is seriously influenced.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a parking lot vehicle access management method and system based on the internet of things, wherein a vehicle driving into a parking lot is shot in a parking lot entrance and exit area to obtain a first image about the vehicle, the first image is analyzed to obtain first identity information and first appearance information about the vehicle, the vehicle driving out of the parking lot corresponding to the parking lot entrance and exit area is shot to obtain a second image about the vehicle, the second image is analyzed to obtain second identity information and second appearance information about the vehicle, the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information are determined according to the internet of things to determine the parking state of the vehicle in the parking lot parking process, and according to the parking state, the corresponding vehicle is controlled to enter and exit; therefore, the parking lot vehicle access management method and system based on the internet of things shoot vehicles driving into a parking lot and driving out of the parking lot in the parking lot access area to obtain corresponding first images and second images, analyze and process the first images and the second images to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally determine whether a parking safety accident happens to the vehicle and conduct adaptive access control based on the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information determined by the internet of things, so that the intelligent and automatic degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
The invention provides a parking lot vehicle access management method based on the Internet of things, which is characterized by comprising the following steps:
a step S1 of photographing a vehicle traveling into a parking lot at a parking lot doorway area to obtain a first image about the vehicle, and analyzing the first image to obtain first identity information and first appearance information about the vehicle;
step S2, capturing images of vehicles driving out of the parking lot corresponding to the entrance and exit areas of the parking lot to obtain a second image of the vehicles, and analyzing the second image to obtain second identity information and second appearance information of the vehicles;
step S3, according to the Internet of things, determining the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information so as to determine the parking state of the vehicle in the parking lot parking process, and controlling the entrance and the exit of the corresponding vehicle according to the parking state;
further, in step S1, capturing a vehicle driving into a parking lot at a parking lot entrance/exit area to obtain a first image of the vehicle, and performing analysis processing on the first image to obtain first identity information and first appearance information about the vehicle specifically includes:
step S101, carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
step S102, shooting vehicles driving into a parking lot from multiple angles so as to obtain a plurality of first images about the vehicles;
step S103, carrying out license plate recognition processing on the plurality of first images to obtain first license plate number information about the vehicle as the first identity information, and carrying out image contour distribution and image color distribution recognition processing on the plurality of first images to obtain first frame shape state information and first body paint surface state information about the vehicle as the first appearance information;
further, in step S101, performing infrared light scanning irradiation on a vehicle approaching the entrance/exit area of the parking lot, and determining whether the vehicle is a vehicle traveling into the parking lot according to a reflected light distribution state of the vehicle with respect to infrared light, and if it is determined that the vehicle is a traveling entering state, obtaining an entrance speed of the vehicle traveling into the parking lot according to the reflected light distribution state of the vehicle with respect to infrared light, and determining whether the entrance speed satisfies a speed limit requirement for entering the parking lot, and if the entrance speed does not satisfy the speed limit requirement, performing entrance/exit control, specifically:
firstly, the infrared scanning irradiation of the vehicle comprises the steps of forming an infrared light matrix by a plurality of infrared lights to irradiate in an entrance area and an exit area, arranging a corresponding infrared matrix receiving device for receiving the reflected infrared lights, and judging whether the vehicle is a vehicle which runs into a parking lot according to the receiving condition of the infrared matrix receiving device by using the following formula (1),
Figure BDA0002857420930000031
in the above formula (1), S represents a vehicle determination value for determining whether the vehicle is traveling into the parking lot, t0Indicating the moment when the infrared matrix receiving means first receive the reflected infrared, Dij(t0) Is shown at t0D corresponding to the receiving condition of the infrared receiving device in the ith row and the jth column in the infrared matrix receiving device when the infrared receiving device in the infrared matrix receiving device receives infrared lightij(t0) 1, otherwise Dij(t0) When the number of the infrared ray receiving devices in each column in the infrared ray matrix receiving device is equal to 0, n represents the number of the infrared ray receiving devices in each row in the infrared ray matrix receiving device, and m represents the number of the infrared ray receiving devices in each column in the infrared ray matrix receiving device;
when S is larger than 0, the vehicle is a vehicle which runs into the parking lot, and the running-in speed of the vehicle which runs into the parking lot is calculated by using the step A2;
when S is less than or equal to 0, the vehicle is not a vehicle which runs into the parking lot;
secondly, the driving speed of the vehicle driving into the parking lot is obtained according to the receiving condition of the infrared matrix receiving device by using the following formula (2),
Figure BDA0002857420930000041
in the above formula (2), V represents an entrance speed at which the vehicle enters the parking lot, Dij(t) D represents the receiving condition of the ith row and the jth column of the infrared matrix receiving device at the time of t, and the corresponding D corresponds to the infrared receiving device in the infrared matrix receiving device receiving the infrared lightij(t) 1, otherwise Dij(t)＝0，L0The distance between two adjacent infrared ray receiving devices in each row in the infrared ray matrix receiving devices is represented;
thirdly, judging whether the driving speed meets the speed limit requirement of the parking lot according to the driving speed of the vehicle driving into the parking lot by using the following formula (3),
η＝u(V-V0) (3)
in the above formula (3), η represents a determination value of whether to regulate the entrance and exit of the vehicle, V0U () represents a step function, and the function value of the step function is 1 when the value in the parentheses is equal to or greater than 0 and is 0 when the value in the parentheses is less than 0;
when eta is 0, the driving speed is in accordance with the speed limit requirement of the parking lot, and the entrance and exit control is not needed;
when eta is 1, the driving speed does not meet the speed limit requirement of the parking lot, and then the entrance and exit control is required, so that the danger caused by the fact that the driving speed of the vehicle is too high is prevented;
further, in step S2, capturing a second image of the vehicle traveling out of the parking lot in the corresponding parking lot entrance/exit area, and analyzing the second image to obtain second identity information and second appearance information about the vehicle specifically includes:
step S201, carrying out infrared light scanning irradiation on vehicles approaching the entrance and exit area of the parking lot, and determining whether the vehicles are vehicles leaving the parking lot according to the reflected light distribution state of the vehicles to the infrared light;
step S202, shooting vehicles running out of a parking lot from multiple angles to obtain a plurality of second images about the vehicles;
step S203, performing license plate recognition processing on the plurality of second images to obtain second license plate number information about the vehicle as the second identity information, and further performing image contour distribution and image color distribution recognition processing on the plurality of second images to obtain second frame shape state information and second body paint surface state information about the vehicle as the second appearance information;
further, in step S3, determining, according to the internet of things, a matching property between the first identity information and the second identity information and a difference between the first appearance information and the second appearance information, so as to determine a parking state of the vehicle during a parking lot parking process, and controlling access to and from the corresponding vehicle according to the parking state specifically includes:
step S301, comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
step S302, comparing the first frame shape state information with the second frame shape state information to determine a frame shape difference value between the first frame shape state information and the second frame shape state information;
step S303, comparing the first vehicle body paint surface state information with the second vehicle body paint surface state information to determine a vehicle body paint surface color difference value between the first vehicle body paint surface state information and the second vehicle body paint surface state information;
step S304, comparing the vehicle frame shape difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame shape difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold values, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
The invention also provides a parking lot vehicle access management system based on the Internet of things, which is characterized by comprising a driving vehicle information acquisition module, a driving vehicle information acquisition module and a vehicle access control module; wherein,
the driving vehicle information acquisition module is used for shooting a vehicle driving into a parking lot in a parking lot entrance and exit area so as to obtain a first image about the vehicle, and analyzing and processing the first image so as to obtain first identity information and first appearance information about the vehicle;
the driving and leaving vehicle information acquisition module is used for shooting vehicles driving and leaving a parking lot correspondingly in the entrance and exit area of the parking lot so as to obtain a second image about the vehicles, and analyzing and processing the second image so as to obtain second identity information and second appearance information about the vehicles;
the vehicle access control module is used for determining the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information according to the Internet of things, so as to determine the parking state of a vehicle in the parking lot in the parking process, and controlling access of the corresponding vehicle according to the parking state;
further, the step of shooting the vehicle driving into the parking lot at the entrance and exit area of the parking lot by the driving vehicle information acquisition module to obtain a first image about the vehicle, and analyzing and processing the first image to obtain first identity information and first appearance information about the vehicle specifically includes:
carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting vehicles driving into the parking lot at multiple angles, thereby obtaining a plurality of first images about the vehicles;
then, the plurality of first images are subjected to license plate recognition processing to obtain first license plate number information of the vehicle, the first license plate number information serves as the first identity information, and image contour distribution and image color distribution recognition processing are further carried out on the plurality of first images to obtain first frame shape state information and first body paint surface state information of the vehicle, and the first frame shape state information and the first body paint surface state information serve as the first appearance information;
further, the step of the driving away vehicle information obtaining module capturing a vehicle driving away from the parking lot at the entrance and exit area of the parking lot correspondingly to obtain a second image about the vehicle, and analyzing and processing the second image to obtain second identity information and second appearance information about the vehicle specifically includes:
carrying out infrared light scanning irradiation on a vehicle approaching the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle leaving the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting vehicles driving away from the parking lot at multiple angles, thereby obtaining a plurality of second images about the vehicles;
then, the plurality of second images are subjected to license plate recognition processing to obtain second license plate number information of the vehicle, the second license plate number information serves as the second identity information, and image contour distribution and image color distribution recognition processing are further carried out on the plurality of second images to obtain second frame shape state information and second body paint surface state information of the vehicle, and the second frame shape state information and the second body paint surface state information serve as the second appearance information;
further, the vehicle access control module determines matching between the first identity information and the second identity information and difference between the first exterior information and the second exterior information according to the internet of things, so as to determine a parking state of a vehicle in a parking lot in a parking process, and according to the parking state, access control on a corresponding vehicle specifically includes:
comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
comparing the first frame appearance state information with the second frame appearance state information to determine a frame appearance difference value between the first frame appearance state information and the second frame appearance state information;
comparing the first body paint surface state information with the second body paint surface state information to determine a body paint surface color difference value between the first body paint surface state information and the second body paint surface state information;
and finally, comparing the vehicle frame appearance difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame appearance difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold value, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
Compared with the prior art, the parking lot vehicle access management method and system based on the internet of things obtains a first image about a vehicle by shooting the vehicle running into a parking lot in a parking lot access area, analyzes and processes the first image to obtain first identity information and first appearance information about the vehicle, obtains a second image about the vehicle by shooting the vehicle running out of the parking lot in the parking lot access area correspondingly, analyzes and processes the second image to obtain second identity information and second appearance information about the vehicle, determines the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information according to the internet of things to determine the parking state of the vehicle in the parking lot, and according to the parking state, the corresponding vehicle is controlled to enter and exit; therefore, the parking lot vehicle access management method and system based on the internet of things shoot vehicles driving into a parking lot and driving out of the parking lot in the parking lot access area to obtain corresponding first images and second images, analyze and process the first images and the second images to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally determine whether a parking safety accident happens to the vehicle and conduct adaptive access control based on the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information determined by the internet of things, so that the intelligent and automatic degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a parking lot vehicle access management method based on the internet of things.
Fig. 2 is a schematic structural diagram of the parking lot vehicle access management system based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Fig. 1 is a schematic flow chart of a parking lot vehicle access management method based on the internet of things according to an embodiment of the present invention. The parking lot vehicle access management method based on the Internet of things comprises the following steps:
a step S1 of photographing a vehicle traveling into a parking lot at a parking lot doorway area to obtain a first image about the vehicle, and analyzing the first image to obtain first identity information and first appearance information about the vehicle;
step S2, capturing images of vehicles driving out of the parking lot corresponding to the entrance and exit areas of the parking lot to obtain a second image of the vehicle, and analyzing the second image to obtain second identity information and second appearance information of the vehicle;
step S3, according to the internet of things, determining a matching property between the first identity information and the second identity information and a difference between the first appearance information and the second appearance information, thereby determining a parking state of the vehicle during the parking process in the parking lot, and controlling access to the corresponding vehicle according to the parking state.
The beneficial effects of the above technical scheme are: the parking lot vehicle access management method based on the Internet of things obtains corresponding first image and second image by shooting vehicles driving into a parking lot and driving out of the parking lot in a parking lot access area, analyzes and processes the first image and the second image to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally determines the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information based on the Internet of things to determine whether vehicles have parking safety accidents and carry out adaptive access control, so that the intelligentization and automation degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
Preferably, in step S1, the capturing a vehicle driving into a parking lot at a parking lot entrance/exit area to obtain a first image of the vehicle, and performing analysis processing on the first image to obtain first identity information and first appearance information about the vehicle specifically includes:
step S101, carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
step S102, shooting a vehicle running into a parking lot from multiple angles so as to obtain a plurality of first images about the vehicle;
step S103, license plate recognition processing is carried out on the plurality of first images, so that first license plate number information related to the vehicle is obtained and serves as the first identity information, and image contour distribution and image color distribution recognition processing are also carried out on the plurality of first images, so that first frame shape state information and first body paint surface state information related to the vehicle are obtained and serve as the first appearance information.
The beneficial effects of the above technical scheme are: by carrying out infrared light scanning irradiation on the vehicle close to the entrance and exit area of the parking lot, because the moving directions of the vehicle relative to the entrance and exit area of the parking lot are different, the infrared light reflection light intensity distribution states formed after the vehicle scans and irradiates the infrared light are correspondingly different, whether the vehicle is a vehicle driving into the parking lot can be accurately determined according to the infrared light reflection light intensity distribution states, and then the vehicle is shot in multiple angles correspondingly, so that the images of the vehicle on different surfaces can be comprehensively obtained, and a reliable basis is provided for the subsequent license plate recognition processing and the image contour distribution and image color distribution recognition processing.
Preferably, in step S101, infrared light scanning and irradiating is performed on a vehicle approaching the entrance/exit area of the parking lot, and it is determined whether the vehicle is a vehicle traveling into the parking lot according to a reflected light distribution state of the vehicle with respect to infrared light, and if it is determined that the vehicle is a traveling entering state, an entrance speed of the vehicle traveling into the parking lot is obtained according to the reflected light distribution state of the vehicle with respect to infrared light, and it is determined whether the entrance speed satisfies a speed limit requirement for entering the parking lot, and if the entrance speed does not satisfy the speed limit requirement, entrance and exit control is performed, specifically:
firstly, the infrared scanning irradiation of the vehicle comprises the steps of forming an infrared light matrix by a plurality of infrared lights to irradiate in an entrance area and an exit area, arranging a corresponding infrared matrix receiving device for receiving the reflected infrared lights, judging whether the vehicle is a vehicle which runs into a parking lot according to the receiving condition of the infrared matrix receiving device by using the following formula (1),
Figure BDA0002857420930000111
in the above formula (1), S represents a vehicle determination value for determining whether or not the vehicle is traveling into the parking lot, and t0Indicating the moment when the infrared matrix receiving means first receive the reflected infrared, Dij(t0) Is shown at t0The receiving condition of the infrared ray receiving device in the ith row and the jth column in the infrared ray matrix receiving device is determined, and D corresponding to the infrared ray receiving device in the infrared ray matrix receiving device receiving infrared lightij(t0) 1, otherwise Dij(t0) When the number of the infrared ray receiving devices in each row in the infrared ray matrix receiving device is equal to 0, n represents the number of the infrared ray receiving devices in each column in the infrared ray matrix receiving device, and m represents the number of the infrared ray receiving devices in each row in the infrared ray matrix receiving device;
when S is larger than 0, the vehicle is a vehicle which runs into the parking lot, and the running-in speed of the vehicle which runs into the parking lot is calculated by using the step A2;
when S is less than or equal to 0, the vehicle is not a vehicle which runs into the parking lot;
secondly, the driving speed of the vehicle into the parking lot is obtained according to the receiving condition of the infrared matrix receiving device by using the following formula (2),
Figure BDA0002857420930000112
in the above formula (2), V represents the entry speed of the vehicle into the parking lot, and Dij(t) the infrared matrix at time tThe receiving condition of the infrared receiving device in the ith row and the jth column in the receiving device, and D corresponding to the infrared receiving device in the infrared matrix receiving device when receiving infrared lightij(t) 1, otherwise Dij(t)＝0，L0The distance between two adjacent infrared ray receiving devices in each row in the infrared ray matrix receiving device is represented;
thirdly, judging whether the driving speed meets the speed limit requirement of the parking lot according to the driving speed of the vehicle driving into the parking lot by using the following formula (3),
η＝u(V-V0) (3)
in the above formula (3), η represents a determination value of whether to regulate the entrance and exit of the vehicle, V0U () represents a step function, and when the value in the parentheses is equal to or greater than 0, the function value of the step function is 1, and when the value in the parentheses is less than 0, the function value of the step function is 0;
when eta is 0, the driving speed is in accordance with the speed limit requirement of the parking lot, and the entrance and exit control is not needed;
when η is 1, it indicates that the driving speed does not meet the speed limit requirement of the parking lot, and it is necessary to perform access control, thereby preventing the vehicle from running at an excessively high speed and causing danger.
The beneficial effects of the above technical scheme are: judging whether the vehicle is a vehicle running into the parking lot by using the formula (1), thereby accurately judging the motion state of the vehicle and accurately judging whether the vehicle is a vehicle running into the parking lot; if the vehicle is determined to be a vehicle running into the parking lot, obtaining the running-in speed of the vehicle running into the parking lot according to the receiving condition of the infrared matrix receiving device by using a formula (2), and therefore accurately calculating the running-in speed of the vehicle; finally, judging whether the driving speed meets the speed limit requirement of the parking lot by using a formula (3), and if the driving speed does not meet the speed limit requirement of the parking lot, performing corresponding in-out control; the process ensures the monitoring of the speed of the vehicle driving into the parking lot and the safety and reliability of the system.
Preferably, in step S2, the capturing a picture of a vehicle driving out of the parking lot at the entrance/exit area of the parking lot to obtain a second image of the vehicle, and analyzing the second image to obtain second identity information and second appearance information about the vehicle specifically includes:
step S201, carrying out infrared light scanning irradiation on the vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle which runs away from the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
step S202, shooting a vehicle which runs out of a parking lot from multiple angles so as to obtain a plurality of second images about the vehicle;
step S203, performing license plate recognition processing on the plurality of second images to obtain second license plate number information about the vehicle as the second identity information, and further performing image contour distribution and image color distribution recognition processing on the plurality of second images to obtain second frame contour state information and second body paint surface state information about the vehicle as the second appearance information.
The beneficial effects of the above technical scheme are: by carrying out infrared light scanning irradiation on the vehicle close to the entrance and exit area of the parking lot, because the moving directions of the vehicle relative to the entrance and exit area of the parking lot are different, the infrared light reflection light intensity distribution states formed by the vehicle after the infrared light scanning irradiation are correspondingly different, whether the vehicle is a vehicle driving away from the parking lot can be accurately determined according to the infrared light reflection light intensity distribution states, and then the vehicle is shot in multiple angles correspondingly, so that the images of the vehicle on different surfaces can be comprehensively obtained, and reliable bases are provided for the subsequent license plate recognition processing and the image contour distribution and image color distribution recognition processing.
Preferably, in step S3, the determining, according to the internet of things, a matching between the first identity information and the second identity information and a difference between the first appearance information and the second appearance information, so as to determine a parking state of the vehicle during a parking lot, and controlling access to the corresponding vehicle according to the parking state specifically includes:
step S301, comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
step S302, comparing the first frame shape state information with the second frame shape state information to determine a frame shape difference value between the first frame shape state information and the second frame shape state information;
step S303, comparing the first vehicle body paint surface state information with the second vehicle body paint surface state information to determine a vehicle body paint surface color difference value between the first vehicle body paint surface state information and the second vehicle body paint surface state information;
step S304, comparing the vehicle frame shape difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame shape difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold values, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
The beneficial effects of the above technical scheme are: by comparing the first license plate number information with the second license plate number information, it can be determined whether the vehicles traveling into the parking lot and the vehicles traveling out of the parking lot are the same vehicle, so as to compare the appearance of the vehicle frame and the color change of the paint surface of the vehicle body on the premise of the same vehicle, thereby effectively avoiding the situation of comparison error, comparing the first frame shape state information with the second frame shape state information and comparing the first body paint surface state information with the second body paint surface state information, rapidly determining whether the vehicle is collided to cause the deformation of the vehicle frame and scratch to cause the falling of the paint surface, therefore, whether the vehicle is in a parking safety accident or not can be accurately determined, the intelligentization and automation degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
Fig. 2 is a schematic structural diagram of a parking lot vehicle access management system based on the internet of things according to an embodiment of the present invention. The parking lot vehicle access management system based on the Internet of things comprises a vehicle access information acquisition module, a vehicle access information acquisition module and a vehicle access control module; wherein,
the driving vehicle information acquisition module is used for shooting a vehicle driving into a parking lot in a parking lot entrance and exit area so as to obtain a first image about the vehicle, and analyzing and processing the first image so as to obtain first identity information and first appearance information about the vehicle;
the driving and leaving vehicle information acquisition module is used for shooting vehicles driving and leaving the parking lot correspondingly in the entrance and exit area of the parking lot so as to obtain a second image about the vehicles, and analyzing and processing the second image so as to obtain second identity information and second appearance information about the vehicles;
the vehicle access control module is used for determining the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information according to the Internet of things, so that the parking state of the vehicle in the parking lot parking process is determined, and access control is performed on the corresponding vehicle according to the parking state.
The beneficial effects of the above technical scheme are: the parking lot vehicle access management system based on the Internet of things shoots vehicles driving into a parking lot and driving out of the parking lot in a parking lot access area to obtain corresponding first images and second images, analyzes and processes the first images and the second images to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally determines the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information based on the Internet of things to determine whether the vehicles have parking safety accidents and perform adaptive access control, so that the intelligentization and automation degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
Preferably, the driving vehicle information acquiring module captures a vehicle driving into a parking lot in a parking lot entrance/exit area to obtain a first image of the vehicle, and analyzes and processes the first image to obtain first identity information and first appearance information about the vehicle specifically includes:
carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting a vehicle driving into the parking lot at multiple angles, thereby obtaining a plurality of first images about the vehicle;
and then, the plurality of first images are subjected to license plate recognition processing to obtain first license plate number information related to the vehicle, and the first license plate number information is used as the first identity information, and the plurality of first images are also subjected to image contour distribution and image color distribution recognition processing to obtain first frame shape state information and first body paint surface state information related to the vehicle, and the first frame shape state information and the first body paint surface state information are used as the first appearance information.
The beneficial effects of the above technical scheme are: by carrying out infrared light scanning irradiation on the vehicle close to the entrance and exit area of the parking lot, because the moving directions of the vehicle relative to the entrance and exit area of the parking lot are different, the infrared light reflection light intensity distribution states formed after the vehicle scans and irradiates the infrared light are correspondingly different, whether the vehicle is a vehicle driving into the parking lot can be accurately determined according to the infrared light reflection light intensity distribution states, and then the vehicle is shot in multiple angles correspondingly, so that the images of the vehicle on different surfaces can be comprehensively obtained, and a reliable basis is provided for the subsequent license plate recognition processing and the image contour distribution and image color distribution recognition processing.
Preferably, the step of capturing, by the vehicle information acquiring module, a vehicle traveling away from the parking lot in the parking lot entrance/exit area to obtain a second image of the vehicle, and analyzing the second image, so as to obtain second identity information and second appearance information about the vehicle specifically includes:
carrying out infrared light scanning irradiation on a vehicle approaching the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle leaving the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting the vehicles which are driven out of the parking lot from multiple angles so as to obtain a plurality of second images about the vehicles;
and then, the plurality of second images are subjected to license plate recognition processing to obtain second license plate number information related to the vehicle, and the second license plate number information is used as the second identity information, and the plurality of second images are also subjected to image contour distribution and image color distribution recognition processing to obtain second frame shape state information and second body paint surface state information related to the vehicle, and the second frame shape state information and the second body paint surface state information are used as the second appearance information.
The beneficial effects of the above technical scheme are: by carrying out infrared light scanning irradiation on the vehicle close to the entrance and exit area of the parking lot, because the moving directions of the vehicle relative to the entrance and exit area of the parking lot are different, the infrared light reflection light intensity distribution states formed by the vehicle after the infrared light scanning irradiation are correspondingly different, whether the vehicle is a vehicle driving away from the parking lot can be accurately determined according to the infrared light reflection light intensity distribution states, and then the vehicle is shot in multiple angles correspondingly, so that the images of the vehicle on different surfaces can be comprehensively obtained, and reliable bases are provided for the subsequent license plate recognition processing and the image contour distribution and image color distribution recognition processing.
Preferably, the vehicle access control module determines matching between the first identity information and the second identity information and difference between the first exterior information and the second exterior information according to the internet of things, so as to determine a parking state of a vehicle in a parking lot in a parking process, and according to the parking state, controlling access to a corresponding vehicle specifically includes:
comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
comparing the first frame shape state information with the second frame shape state information to determine a frame shape difference value between the first frame shape state information and the second frame shape state information;
comparing the first body paint surface state information with the second body paint surface state information to determine a body paint surface color difference value between the first body paint surface state information and the second body paint surface state information;
and finally, comparing the vehicle frame shape difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame shape difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold values, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
The beneficial effects of the above technical scheme are: by comparing the first license plate number information with the second license plate number information, it can be determined whether the vehicles traveling into the parking lot and the vehicles traveling out of the parking lot are the same vehicle, so as to compare the appearance of the vehicle frame and the color change of the paint surface of the vehicle body on the premise of the same vehicle, thereby effectively avoiding the situation of comparison error, comparing the first frame shape state information with the second frame shape state information and comparing the first body paint surface state information with the second body paint surface state information, rapidly determining whether the vehicle is collided to cause the deformation of the vehicle frame and scratch to cause the falling of the paint surface, therefore, whether the vehicle is in a parking safety accident or not can be accurately determined, the intelligentization and automation degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
As can be seen from the above description of the embodiments, the internet of things based parking lot vehicle access management method and system obtains a first image of a vehicle traveling into a parking lot through photographing the vehicle at a parking lot entrance and exit area, analyzes the first image to obtain first identity information and first appearance information about the vehicle, obtains a second image of the vehicle through photographing the vehicle traveling out of the parking lot at the parking lot entrance and exit area, analyzes the second image to obtain second identity information and second appearance information about the vehicle, determines a matching property between the first identity information and the second identity information and a difference between the first appearance information and the second appearance information according to the internet of things to determine a parking state of the vehicle during parking in the parking lot, and according to the parking state, the corresponding vehicle is controlled to enter and exit; therefore, the parking lot vehicle access management method and system based on the internet of things shoot vehicles driving into a parking lot and driving out of the parking lot in the parking lot access area to obtain corresponding first images and second images, analyze and process the first images and the second images to obtain corresponding first identity information, first appearance information, second identity information and second appearance information, and finally determine whether a parking safety accident happens to the vehicle and conduct adaptive access control based on the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information determined by the internet of things, so that the intelligent and automatic degree of vehicle parking management is improved to the maximum extent, and the vehicle management level of the parking lot is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. The parking lot vehicle access management method based on the Internet of things is characterized by comprising the following steps:
a step S1 of photographing a vehicle traveling into a parking lot at a parking lot doorway area to obtain a first image about the vehicle, and analyzing the first image to obtain first identity information and first appearance information about the vehicle;
step S2, capturing images of vehicles driving out of the parking lot corresponding to the entrance and exit areas of the parking lot to obtain a second image of the vehicles, and analyzing the second image to obtain second identity information and second appearance information of the vehicles;
step S3, according to the Internet of things, the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information are determined, so that the parking state of the vehicle in the parking lot parking process is determined, and the vehicle access control is performed according to the parking state.
2. The internet-of-things-based parking lot vehicle entry and exit management method according to claim 1, wherein:
in step S1, capturing a vehicle traveling into a parking lot at a parking lot entrance/exit area to obtain a first image of the vehicle, and performing analysis processing on the first image to obtain first identity information and first appearance information about the vehicle specifically includes:
step S101, carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
step S102, shooting vehicles driving into a parking lot from multiple angles so as to obtain a plurality of first images about the vehicles;
step S103, license plate recognition processing is carried out on the plurality of first images, so that first license plate number information about the vehicle is obtained and serves as the first identity information, and image contour distribution and image color distribution recognition processing are further carried out on the plurality of first images, so that first frame shape state information and first body paint surface state information about the vehicle are obtained and serve as the first appearance information.
3. The internet-of-things-based parking lot vehicle entry and exit management method according to claim 1, wherein:
in step S101, performing infrared light scanning irradiation on a vehicle approaching the entrance/exit area of the parking lot, and determining whether the vehicle is a vehicle traveling into the parking lot according to a reflected light distribution state of the vehicle with respect to infrared light, and if it is determined that the vehicle is in the traveling entering state, obtaining an entrance speed of the vehicle traveling into the parking lot according to the reflected light distribution state of the vehicle with respect to infrared light, and determining whether the entrance speed satisfies a speed limit requirement for entering the parking lot, and if the entrance speed does not satisfy the speed limit requirement, performing entrance/exit control, specifically:
firstly, the infrared scanning irradiation of the vehicle comprises the steps of forming an infrared light matrix by a plurality of infrared lights to irradiate in an entrance area and an exit area, arranging a corresponding infrared matrix receiving device for receiving the reflected infrared lights, and judging whether the vehicle is a vehicle which runs into a parking lot according to the receiving condition of the infrared matrix receiving device by using the following formula (1),
Figure FDA0002857420920000021
in the above formula (1), S represents a vehicle determination value for determining whether the vehicle is traveling into the parking lot, t0Indicating the moment when the infrared matrix receiving means first receive the reflected infrared, Dij(t0) Is shown at t0The receiving condition of the infrared ray receiving device in the ith row and the jth column in the infrared ray matrix receiving device is determined, and if the infrared ray matrix receiving device is determinedD corresponding to infrared ray receiving device in middleij(t0) 1, otherwise Dij(t0) When the number of the infrared ray receiving devices in each column in the infrared ray matrix receiving device is equal to 0, n represents the number of the infrared ray receiving devices in each row in the infrared ray matrix receiving device, and m represents the number of the infrared ray receiving devices in each column in the infrared ray matrix receiving device;
when S is larger than 0, the vehicle is a vehicle which runs into the parking lot, and the running-in speed of the vehicle which runs into the parking lot is calculated by using the step A2;
when S is less than or equal to 0, the vehicle is not a vehicle which runs into the parking lot;
secondly, the driving speed of the vehicle driving into the parking lot is obtained according to the receiving condition of the infrared matrix receiving device by using the following formula (2),
Figure FDA0002857420920000031
in the above formula (2), V represents an entrance speed at which the vehicle enters the parking lot, Dij(t) D represents the receiving condition of the ith row and the jth column of the infrared matrix receiving device at the time of t, and the corresponding D corresponds to the infrared receiving device in the infrared matrix receiving device receiving the infrared lightij(t) 1, otherwise Dij(t)＝0，L0The distance between two adjacent infrared ray receiving devices in each row in the infrared ray matrix receiving devices is represented;
thirdly, judging whether the driving speed meets the speed limit requirement of the parking lot according to the driving speed of the vehicle driving into the parking lot by using the following formula (3),
η＝u(V-V0) (3)
in the above formula (3), η represents a determination value of whether to regulate the entrance and exit of the vehicle, V0U () represents a step function, and when the value in the parentheses is 0 or more, the function value of the step function is 1, and when the value in the parentheses is less than 0, the function value of the step function is less thanIs 0;
when eta is 0, the driving speed is in accordance with the speed limit requirement of the parking lot, and the entrance and exit control is not needed;
when η is 1, it indicates that the driving speed does not meet the speed limit requirement of the parking lot, and then access control is required, so as to prevent the vehicle from being dangerous due to too high driving speed.
4. The internet-of-things-based parking lot vehicle entry and exit management method according to claim 2, wherein:
in step S2, capturing a picture of a vehicle traveling out of the parking lot in the corresponding parking lot entrance/exit area to obtain a second image of the vehicle, and analyzing the second image to obtain second identity information and second appearance information of the vehicle specifically includes:
step S201, carrying out infrared light scanning irradiation on vehicles approaching the entrance and exit area of the parking lot, and determining whether the vehicles are vehicles leaving the parking lot according to the reflected light distribution state of the vehicles to the infrared light;
step S202, shooting vehicles running out of a parking lot from multiple angles to obtain a plurality of second images about the vehicles;
step S203, performing license plate recognition processing on the plurality of second images to obtain second license plate number information about the vehicle as the second identity information, and further performing image contour distribution and image color distribution recognition processing on the plurality of second images to obtain second frame contour state information and second body paint surface state information about the vehicle as the second appearance information.
5. The internet-of-things-based parking lot vehicle entry and exit management method according to claim 4, wherein:
in step S3, determining, according to the internet of things, a matching property between the first identity information and the second identity information and a difference between the first appearance information and the second appearance information, so as to determine a parking state of a vehicle during a parking process in a parking lot, and controlling access to and from a corresponding vehicle according to the parking state specifically includes:
step S301, comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
step S302, comparing the first frame shape state information with the second frame shape state information to determine a frame shape difference value between the first frame shape state information and the second frame shape state information;
step S303, comparing the first vehicle body paint surface state information with the second vehicle body paint surface state information to determine a vehicle body paint surface color difference value between the first vehicle body paint surface state information and the second vehicle body paint surface state information;
step S304, comparing the vehicle frame shape difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame shape difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold values, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
6. The parking lot vehicle access management system based on the Internet of things is characterized by comprising a vehicle access information acquisition module, a vehicle exit information acquisition module and a vehicle access control module; wherein,
the driving vehicle information acquisition module is used for shooting a vehicle driving into a parking lot in a parking lot entrance and exit area so as to obtain a first image about the vehicle, and analyzing and processing the first image so as to obtain first identity information and first appearance information about the vehicle;
the driving and leaving vehicle information acquisition module is used for shooting vehicles driving and leaving a parking lot correspondingly in the entrance and exit area of the parking lot so as to obtain a second image about the vehicles, and analyzing and processing the second image so as to obtain second identity information and second appearance information about the vehicles;
the vehicle access control module is used for determining the matching between the first identity information and the second identity information and the difference between the first appearance information and the second appearance information according to the Internet of things, so as to determine the parking state of the vehicle in the parking lot in the parking process, and controlling access of the corresponding vehicle according to the parking state.
7. The internet of things-based parking lot vehicle entry and exit management system of claim 6, wherein:
the method for acquiring information of a vehicle driving into a parking lot includes the steps of shooting a vehicle driving into the parking lot in a parking lot entrance and exit area by the driving vehicle information acquisition module to obtain a first image of the vehicle, and analyzing and processing the first image to obtain first identity information and first appearance information of the vehicle, wherein the first identity information and the first appearance information of the vehicle specifically include:
carrying out infrared light scanning irradiation on a vehicle close to the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle driving into the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting vehicles driving into the parking lot at multiple angles, thereby obtaining a plurality of first images about the vehicles;
and then, carrying out license plate recognition processing on the plurality of first images to obtain first license plate number information about the vehicle as the first identity information, and carrying out image contour distribution and image color distribution recognition processing on the plurality of first images to obtain first frame shape state information and first body paint surface state information about the vehicle as the first appearance information.
8. The internet of things-based parking lot vehicle entry and exit management system of claim 7, wherein:
the step of obtaining the second identity information and the second appearance information of the vehicle by the driving and leaving vehicle information obtaining module shooting the vehicle driving and leaving the parking lot corresponding to the entrance and exit area of the parking lot so as to obtain a second image of the vehicle, and analyzing and processing the second image, specifically includes:
carrying out infrared light scanning irradiation on a vehicle approaching the entrance and exit area of the parking lot, and determining whether the vehicle is a vehicle leaving the parking lot according to the reflected light distribution state of the vehicle to the infrared light;
and shooting vehicles driving away from the parking lot at multiple angles, thereby obtaining a plurality of second images about the vehicles;
and then, the plurality of second images are subjected to license plate recognition processing to obtain second license plate number information about the vehicle, and the second license plate number information is used as the second identity information, and the plurality of second images are also subjected to image contour distribution and image color distribution recognition processing to obtain second frame shape state information and second body paint surface state information about the vehicle, and the second frame shape state information and the second body paint surface state information are used as the second appearance information.
9. The internet of things-based parking lot vehicle entry and exit management system of claim 8, wherein:
the vehicle access control module determines matching between the first identity information and the second identity information and difference between the first appearance information and the second appearance information according to the internet of things, so as to determine a parking state of a vehicle in a parking lot in a parking process, and specifically includes:
comparing the first license plate number information with the second license plate number information to determine whether the license plate numbers of the first license plate number information and the second license plate number information are the same, and if so, determining the difference between the first appearance information and the second appearance information;
comparing the first frame appearance state information with the second frame appearance state information to determine a frame appearance difference value between the first frame appearance state information and the second frame appearance state information;
comparing the first body paint surface state information with the second body paint surface state information to determine a body paint surface color difference value between the first body paint surface state information and the second body paint surface state information;
and finally, comparing the vehicle frame appearance difference value or the vehicle body paint surface color difference value with corresponding difference threshold values respectively, if the vehicle frame appearance difference value or the vehicle body paint surface color difference value exceeds the corresponding difference threshold value, determining that a parking safety accident exists in the parking lot stopping process of the vehicle, and controlling the vehicle with the parking safety accident to go in and out.
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