JP2023050292A - Management system, management server, management program, and management method - Google Patents

Abstract

To provide a parking lot management system, a management server, a management program, and a management method that can control costs and provide high convenience.SOLUTION: A management system according to the present invention is a management system for a parking lot having two or more compartments and includes: an image capturing device that changes an image capturing range at a first time interval, captures images in the parking lot at a second time interval, and transmits the captured images; and a management server provided with a receiver that receives the images transmitted by the image capturing device, an estimation unit for estimating, based on the order in which the images are taken or the time at which the images are taken, which vehicle compartment each of the images were taken of, a reading unit that reads a vehicle number from the image, and a storage control unit that stores the image and the vehicle number read from the image in association with the vehicle compartment based on the result of the estimation in the estimation unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to a parking lot management system, a management server, a management program, and a management method.

Due to the revision of the Road Traffic Law in 2006, parking violators began cracking down on parking violations. Management and fee settlement are automated, and unmanned parking lot management is progressing. Such unmanned parking lots include, for example, an auto-lock type (flap plate type) and a gate type. The auto-lock system (flap plate system) is mainly used in small-scale parking lots. It is fixed to the car stop, and the car stop is automatically released when the parking fee is deposited into the automatic toll system when the vehicle departs. In addition, the gate type is mainly used in large-scale parking lots, supermarkets, hospitals, etc. For example, gates that can be mechanically blocked when cars enter and leave, parking ticket issuing machines, entrance gate machines, automatic fare adjustment machines , an exit-only gate machine, etc. (for example, Patent Document 1).

JP 2014-232520 A

However, the conventional parking lot management system requires various facilities, and requires a great deal of cost for introduction and maintenance.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a parking lot management system, a management server, a management program, and a management method that are highly convenient and cost-effective.

In order to solve the above problems, a management system according to the present invention is a management system for a parking lot having two or more compartments, wherein the imaging range is changed at first time intervals, and at second time intervals An imaging device that captures an image of the inside of a parking lot and transmits the captured image, a receiving unit that receives the image transmitted by the imaging device, and an image of which vehicle room the image is captured based on the imaging order or imaging time of the image. a reading unit for reading the vehicle number from the image; and a memory control unit for storing the image and the vehicle number read from the image in association with the passenger compartment based on the estimation result of the estimating unit. and a management server comprising:
Prepare.

According to the present invention, it is possible to provide a management system, a management server, a management program, and a management method for a parking lot that can suppress costs and is highly convenient.

It is a figure which shows an example of arrangement|positioning of the management system which concerns on embodiment. It is a figure which shows an example of the change operation|movement of the imaging range of the management system which concerns on embodiment. It is a figure which shows an example of the change operation|movement of the imaging range of the management system which concerns on embodiment. It is a figure which shows an example of a structure of the management system which concerns on embodiment. It is a figure which shows an example of the screen displayed on the panel part of the payment machine which concerns on embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment. It is a flow chart which shows an example of processing by the management system concerning an embodiment.

[Embodiment]
Embodiments of the present invention will be described below with reference to the drawings.
First, the arrangement of the management system 1 according to the embodiment will be described. FIG. 1 is a diagram illustrating an example of arrangement of a management system according to an embodiment. The parking lot 10 according to the embodiment is not provided with a gate for managing entry and exit into and out of the parking lot, and can be freely entered and exited. A user of the parking lot 10 (hereinafter simply referred to as a user) can freely select an empty parking space 11A to 11D (hereinafter, vehicle compartment 11A to 11D) to park the vehicle. Although there are four compartments in the example shown in FIG. 1, the number of compartments may be any number.

In addition, although the embodiment is described on the assumption that four-wheeled vehicles are parked in the vehicle compartments 11A to 11D, the vehicle may be any vehicle with a license plate, such as a motorbike. Further, in the embodiment, an image (still image) captured by the imaging device 30 is transmitted to the management server 40 without going through the payment machine 20, but the image captured by the imaging device 30 is may be configured to transmit to the management server 40 via.

(Parking lot 10)
The parking lot 10 has two or more (four in the embodiment) compartments 11A to 11D separated by lanes, and each compartment 11A to 11D has a loop coil for detecting the presence or absence of a vehicle by magnetic change. (hereinafter also referred to as detection device 12) is embedded. In the embodiment, a loop coil will be described as an example of the detection device 12 that detects the presence or absence of a vehicle. may A car stop 13 is installed in each of the compartments 11A to 11D. Further, an imaging device 30 is arranged at a position where the vehicle interiors 11A to 11D can be imaged.

(Imaging device 30)
The imaging device 30 has a camera, and is arranged at a position capable of imaging the vehicles parked in the compartments 11A to 11D of the parking lot 10 . It should be noted that the imaging device 30 does not necessarily have to be arranged in the parking lot 10 as long as it can image the vehicles parked in the vehicle compartments 11A to 11D. Moreover, the number of imaging devices 30 is arbitrary as long as all the compartments of the parking lot 10 can be imaged.

The imaging device 30 cycles between two or more different imaging ranges in a predetermined order by combining any one of panning, tilting, and zooming operations as necessary. Here, the imaging device 30 changes the imaging range at predetermined time intervals (first time intervals). Further, in the embodiment, the predetermined order is set such that any one of the two or more imaging ranges continues twice.

2 and 3 are diagrams showing an example of the operation of changing the imaging range by the imaging device 30. FIG. In the embodiment, the imaging range and the predetermined order are set as shown in Table 1 below.

As shown in Table 1, in the embodiment, the imaging device 30 repeats the imaging range of the first position 1 twice, and sequentially expands the imaging range of positions 1→1→2→3→4→5→6. I am circulating. For this reason, the number of images captured at position 1 is greater than the number of images captured at other positions. It is devised so that the images can be recognized by arranging the images in the order in which they were captured (time series).

Although the first position 1 is repeated twice in the embodiment, other positions may be repeated twice. If the number of images in an arbitrary imaging range is greater than the number of images in other imaging ranges in one round, by arranging the images in the order in which they were captured (time series), which image is captured at which position. This is because it is possible to recognize whether it is an image. Further, the predetermined order is not limited to two times (for example, it may be three times or four times) as long as an arbitrary imaging range continues two times or more among the two or more imaging ranges.

In addition, the imaging device 30 images the parking lot 10 at set predetermined time intervals (second time intervals) and transmits the captured images using FTP (File Transfer Protocol). Although FTP is used in the embodiment, the method is not limited to this method. In the embodiment, the second time interval is half the first time interval, and two images are transmitted per one position of the patrol. For example, if the first time interval (positional movement of the patrol) is set to 20 seconds, the second time interval (imaging) is set to 10 seconds. It should be noted that two or more images may be transmitted in each of the compartments 11A to 11D, and the second time interval is 1/n (n is an integer of 2 or more) of the first time interval, that is, 1/n of the first time interval. And it is sufficient. Conversely, the first time interval should be n times the second time interval (n is an integer equal to or greater than 2), that is, an integer multiple. In addition, in the embodiment, the imaging device 30 transmits the time when the image was captured (hereinafter also referred to as the image capturing time) as the file name of the image. good.

As described above, the imaging device 30 according to the embodiment changes the imaging range every predetermined time (first time) by combining any one of panning, tilting, and zooming operations of the camera as necessary. It has a function of capturing an image every time (second time) and transmitting the captured image. However, the image capturing apparatus 30 according to the embodiment performs the above-described patrol operation of panning, tilting, and zooming the camera, such as moving the orientation of the camera to a predetermined image capturing range to capture an image, and the image capturing operation (image capturing timing). They cannot be synchronized and have limited functionality. However, since the functions are limited, the imaging device 30 according to the embodiment is inexpensive, and the management system can be constructed at low cost. Moreover, even if the imaging device 30 needs to be replaced due to a failure or the like, the replacement cost can be reduced, and there is an advantage that the maintenance cost can be reduced.

As shown in FIG. 4 , in the management system 1 according to the embodiment, the detection device 12 is connected to the payment machine 20 . Also, the payment machine 20 and the imaging device 30 are connected to the management server 40 . The communication between the detection device 12 and the payment machine 20 may be either wireless or wired. Communication between the payment machine 20 and the imaging device 30 and the management server 40 may be either wireless or wired. When the detection device 12 detects that the vehicle has entered or left the compartment 11 , the detector 12 transmits an entry signal or an exit signal that notifies the entry or exit of the vehicle into or from the compartment 11 to the payment machine 20 . The imaging device 30 transmits the image captured by the camera to the management server 40 with the image capturing time as the file name. Note that, as described above, the imaging device 30 may be configured to attach the imaging time to an image as metadata and transmit the image.

(Payment machine 20)
The settlement machine 20 settles the parking fee according to the usage status of the parking lot 10.例文帳に追加As shown in FIG. 4 , the payment machine 20 includes a reception section 21 , a measurement section 22 , a panel section 23 , a payment section 24 , a storage device 25 and a transmission section 26 .

The receiving unit 21 receives a warehousing signal and a warehousing signal transmitted from the detection device 12 . In addition, in the embodiment, the fare adjustment machine 20 is provided with a plurality of input terminals as the receiving unit 21 , and an input terminal is provided for each detection device 12 . The storage device 25 stores correspondence relationships among the input terminals, the detection device 12, and the passenger compartment. Based on the correspondence, the fare adjustment machine 20 can recognize in which compartment the vehicle entered or exited from the parking lot signal and the parking exit signal transmitted from the detection device 12 .

Note that the detection device 12 may be configured to transmit the warehousing signal and the warehousing signal together with the identification number (ID). In this case, by storing the corresponding relationship between the identification number of the detection device 12 and the vehicle compartment in the storage device 25, the entry signal sent from the detection device 12 indicates in which compartment the vehicle entered or left the garage. and can be recognized from the exit signal.

The measurement unit 22 determines the parking time based on the vehicle parking signal from the detection device 12, and starts measuring the parking time using the parking time as the start time. In addition, when receiving the parking charge settlement signal, the measurement unit 22 ends the measurement of the parking time of the vehicle. In addition, the measurement unit 22 determines the leaving time based on the vehicle leaving signal from the detection device 12 .

The panel unit 23 is a touch panel type in which an operation unit for user input and a display unit for displaying vehicle images, settlement fees, etc. are integrated. After entering the number, the parking fee will be displayed. FIG. 5 is a diagram showing an example of a screen displayed on the panel section 23 of the payment machine 20. As shown in FIG. When the user operates the numeric keys B1 from 1 to 0 displayed on the panel section 23 to enter the compartment number in which the vehicle is parked, the entered compartment number is displayed in the display box B2. If the compartment number is correct, the user selects the confirmation button B3, and the parking fee is calculated by the payment section 24 and the calculated parking fee is displayed on the panel section 23. FIG. Also, the user can correct the input compartment number by selecting the correction button B4. Note that the panel unit 23 may be of a type in which an operation unit for user input and a display unit for displaying vehicle images, settlement fees, and the like are provided separately. Further, the panel unit 23 preferably has a detection system that detects a user approaching the payment machine 20 and cancels the power saving mode of the panel.

The settlement unit 24 is used by the user of the parking lot to settle the parking fee, and settles the parking fee based on the parking time measured by the measurement unit 22 . The settlement unit 24 includes a deposit/withdrawal processing device for depositing the parking fee paid by the user and processing the payment of change, a prepay card, and an electronic settlement device for settlement using electronic money such as a mobile phone. there is The settlement unit 24 calculates the parking fee based on the parking time measured by the measurement unit 22, the unit price for each vehicle type recorded in the storage device 25, and the unsettled record. The settlement unit 24 displays the calculated parking fee on the panel unit 23 and receives payment of the parking fee from the user of the parking lot. In addition, if the parking lot is attached to a business facility such as a store, the settlement unit 24 makes the parking fee free for employee vehicles, supplier vehicles, and store users based on the unit price for each vehicle classification. , may be able to add parking fees based on unpaid records including other parking lots. In this case, when the parking fee is settled for the unsettled vehicle or the vehicle for which the additional charge is collected, which is recorded in the storage device 25, the settlement unit 24 displays the amount obtained by adding the unsettled charge and the additional charge to the parking charge on the panel unit. 23.

The storage device 25 stores the correspondence between the input terminals, the detection device 12, and the passenger compartment. The storage device 25 also stores a usage history for each vehicle compartment 11 of the parking lot 10 . Here, the usage history includes information such as the compartment number, the time of entry and exit, the parking time, and the presence or absence of payment.

The transmission unit 26 transmits the usage history of the parking lot 10 to the management server 40 for each vehicle compartment 11 .

(Management server 40)
The management server 40 includes a receiving section 41 , a transmitting section 42 (second reporting section), a storage device 43 , a storage control section 44 , an estimating section 45 , a reading section 46 and a matching section 47 .

The receiving unit 41 receives, for example, an image captured and transmitted by the imaging device 30 . The receiving unit 41 also receives the usage history transmitted from the payment machine 20, for example. In the embodiment, the reception unit 41 sequentially receives images captured by the imaging device 30 and receives the usage history transmitted from the payment machine 20 once a day, but the reception interval is not limited to this.

The transmission unit 42 (second notification unit) transmits, for example, unpaid vehicle parking information. Specifically, the transmission unit 42 detects the vehicle number that is the same as the vehicle number stored in association with the usage history for which the parking fee has not been settled, and the vehicle number that has been registered in advance. When the vehicle number with the same number as the number is read by the 45 reading unit, the registered contact information (e.g., phone number or email address) is notified to that effect via SMS (Short Message Service), email, or via the Internet. communicable method (for example, LINE (registered trademark), slack (registered trademark), teams (registered trademark), etc.). It should be noted that the unpaid vehicle information may be transmitted to the payment machine 20, and the payment machine 20 may be configured to settle the unpaid money.

The storage device 43 stores parking lot usage history, such as vehicle number, parking time, vehicle image, checkout time, parking time, and parking time. In addition, the storage device 43 also stores information such as the unit price for each vehicle type, the parking lot usage settlement record, the unsettled record, and the like. In addition, the storage device 43 stores correspondence relationships between the imaging devices 30 and imaging ranges so that it can be recognized which imaging device 30 is imaging which range of which parking lot 10 . Some or all of the various information stored in the storage device 43 can be stored in an external storage device such as a USB (Universal Serial Bus) memory or an external HDD, or a storage device of another information processing device connected via a network. may be stored in

The storage control unit 44 controls writing and reading of information to and from the storage device 43 .

The estimating unit 45 estimates which vehicle interior the image is an image of, based on the imaging time of the images sequentially received by the receiving unit 41 . Specifically, the estimation unit 45 sorts the images based on metadata such as file names or shooting times. In the embodiment, the images are sorted in the order of image capturing time since the image capturing time is the file name. Next, the estimation unit 45 estimates which vehicle interior the image is based on the correspondence relationship between the first time interval and the imaging range and the imaging time of the image.
In the embodiment, the estimating unit 45 determines the similarity of the images, and determines that images with a similarity equal to or greater than a predetermined value are images captured in the same imaging range (position). Next, the estimating unit 45 estimates that the image with the largest number of images (four images in the embodiment) having a similarity equal to or greater than a predetermined value is the image captured at position 1, and every two images are captured at positions 2 and 3. , .
Further, the estimating unit 45 selects which of the images captured at different times according to the degree of similarity between the images captured at different times or the similarity of the vehicle number read by the reading unit 46 from the images captured at different times. is a combination (pair) of images obtained by capturing an arbitrary vehicle compartment (in the embodiment, two images are captured for each vehicle compartment). A known technique can be used to calculate the degree of similarity. Note that the estimating unit 45 estimates a combination (pair) of images using both the degree of similarity between the images captured at different times and the similarity of the vehicle number read by the reading unit 46 from the images captured at different times. can be

The estimation by the estimation unit 45 may be automatically performed by AI (artificial intelligence). By using AI for the estimation by the estimation unit 45, it can be expected that the estimation result by the estimation unit 45 will be more accurate. Note that known technology can be used for AI.

Further, as described above, the imaging apparatus 30 according to the embodiment performs the above-described cyclic operation of panning, tilting, and zooming the camera, such as moving the orientation of the camera to a predetermined imaging range, and the imaging operation. cannot be synchronized, the functions are limited, and the movement is not completely smooth, and there is some deviation in the imaging. In addition, images (still images) captured during patrol photography are difficult to use because they cannot accurately capture the vehicle interior. Therefore, it is devised so that it can be used with such an imaging device.

The reading unit 46 detects, for example, whether or not a license plate exists in the image transmitted from the imaging device 30, and when the presence of the license plate is detected, reads the vehicle number written on the license plate. For example, the reading unit 46 divides the detected license plate portion into a plurality of partial input images, calculates the similarity of features with the model character image, and selects the character image having the highest similarity for each partial input image. , read the vehicle number. A known technique can be used to calculate the degree of similarity.
In the embodiment, when the vehicle number cannot be read, for example, when the vehicle is not shown and the license plate cannot be detected and the vehicle number cannot be read, and when the license plate is detected but the vehicle number itself cannot be read, includes both. Further, the reading unit 46 may be configured to use a plurality of different license plate images of the same vehicle and select the character image having the highest degree of similarity for each partial input image.

The matching unit 47 compares the usage history with the usage history of the vehicle compartment based on, for example, the entry/exit time to/from the vehicle compartment transmitted from the fare adjustment machine 20 and the imaging time of the image. The collating unit 47 stores the collated usage history in the storage device 43 in association with the image and the vehicle number read from the image. Note that the matching unit 47 may be configured not to perform matching when the reading unit 46 cannot read the vehicle number from the image. Further, the matching unit 47 may be configured so as not to match the usage history in which the parking fee has been settled with the usage history of the passenger compartment based on the image.

Note that in the embodiment, when the data of the compartment, the vehicle, and the time estimated from the image by the estimation unit 45 and the data of the usage history of the fare adjustment machine 20 are collated, the estimation result of the estimation unit 45 and the usage of the fare adjustment machine 20 If there is a discrepancy with the history, the estimation result of the estimation unit 45 is adjusted in accordance with the usage history of the payment machine 20, but the adjustment may be automatically performed by AI (artificial intelligence). By using AI for the estimation by the estimation unit 45 and the matching by the matching unit 47, it can be expected that the estimation result and the matching result will be more accurate. Note that known technology can be used for AI.

(information processing)
6 to 11 are flowcharts showing an example of processing of the management system 1. FIG. The processing of the management system 1 will be described below with reference to FIGS. 6 to 11. FIG.

(imaging range change processing)
FIG. 6 is a flow chart showing an example of imaging range (position) change processing of the management system 1 . An example of imaging range change processing of the management system 1 will be described below with reference to FIG. 6 .

(Step S101)
The imaging device 30 determines whether or not a predetermined time (first time) has passed. If the first time has passed (YES), the imaging device 30 executes the process of step S102. If the first time has not elapsed (NO), the imaging device 30 returns to the process of step S101.

(Step S102)
The imaging device 30 pans, tilts, and zooms the camera as necessary to change to the next position (imaging range) in the set cyclic order. Note that in the embodiment, position 1 is repeated twice as described with reference to Table 1.

As described above, the imaging device 30 pans, tilts, and zooms the camera as necessary, and tours the set imaging range in the order indicated by the set predetermined time intervals (first time intervals). (See FIGS. 2(a) to 3(c)).

(imaging processing)
FIG. 7 is a flowchart showing an example of imaging processing of the management system 1. As shown in FIG. An example of imaging processing of the management system 1 will be described below with reference to FIG. 7 .

(Step S201)
The imaging device 30 determines whether or not a predetermined time (second time) has passed. If the second time has passed (YES), the imaging device 30 executes the process of step S202. If the second time has not elapsed (NO), the imaging device 30 returns to the process of step S201.

(Step S202)
The imaging device 30 performs imaging with a camera.

(Step S203)
The imaging device 30 uses FTP to transmit the captured image to the management server 40 with the time at which the image was captured (imaging time) as the file name. In addition, as described above, although FTP is used in the embodiment, the method is not limited to this method.

(Image registration processing)
FIG. 8 is a flow chart showing an example of image registration processing of the management system 1 . Hereinafter, an example of image registration processing of the management system 1 will be described with reference to FIG.

(Step S301)
The receiving unit 41 of the management server 40 receives the image captured by the imaging device 30 and the information of the imaging time (in the embodiment, the imaging time is used as the file name).

(Step S302)
The reading unit 46 of the management server 40 determines whether or not the license plate can be detected from the image received by the receiving unit 41 . If the license plate is detected (YES), the management server 40 executes the process of step S303. If the license plate could not be detected (NO), the management server 40 returns to the process of step S301.

(Step S303)
The reading unit 46 of the management server 40 executes a vehicle number reading process. If the vehicle number can be read (YES), the management server 40 executes the process of step S304. If the vehicle number could not be read (NO), the management server 40 stores the image in the storage device 43 and returns to step S301.

(Step S304)
The estimation unit 45 of the management server 40 estimates which vehicle room the image is based on the imaging time of the image received by the reception unit 41 . Details of the operation of the estimation unit 45 will be described later with reference to FIG.

(Step S305)
Based on the estimation result of the estimation unit 45 , the management server 40 associates the image and the vehicle number read from the image and stores them in the storage device 43 .

(Vehicle room estimation process)
FIG. 9 is a flow chart showing an example of vehicle interior estimation processing of the management system 1 . An example of the vehicle interior estimation process of the management system 1 will be described below with reference to FIG. 9 .

(Step S401)
The estimation unit 45 of the management server 40 sorts the images based on metadata such as file name or shooting time. In the embodiment, the images are sorted in the order of image capturing time since the image capturing time is the file name.

(Step S402)
The estimating unit 45 of the management server 40 determines the similarity of the images, and determines that images with a similarity equal to or greater than a predetermined value are images captured at the same position. Next, the estimating unit 45 estimates that the image with the largest number of images (four images in the embodiment) having a similarity equal to or greater than a predetermined value is the image captured at position 1, and every two images are captured at positions 2 and 3. , .

(Step S403)
The estimating unit 45 of the management server 40 determines the degree of similarity between the images captured at different times, or the similarity of the vehicle number read by the reading unit 46 from the images captured at different times. It is estimated which image is a combination (pair) of images obtained by capturing an arbitrary vehicle (in the embodiment, two images are captured for each vehicle).

(Step S404)
The estimating unit 45 of the management server 40 estimates that the image estimated as a pair in step S403 is an image captured in the vehicle interior corresponding to the position estimated in step S402.

As described above, the estimation unit 45 may be configured to perform estimation by AI (artificial intelligence). By using AI for the estimation by the estimation unit 45, it can be expected that the estimation result by the estimation unit 45 will be more accurate. Note that known technology can be used for AI.

(Match processing)
FIG. 10 is a flow chart showing an example of matching processing of the management system 1. As shown in FIG. An example of matching processing of the management system 1 will be described below with reference to FIG. 10 .

(Step S501)
The receiving unit 41 of the management server 40 receives the usage history transmitted from the payment machine 20 .

(Step S502)
The matching unit 47 of the management server 40 compares the usage history with the image based on the vehicle exit time and the vehicle exit time included in the usage history, the imaging time of the image, and the vehicle interior estimated by the estimation unit 45 . Match with the usage history of the room. Specifically, among the images estimated to be the same vehicle compartment as the arbitrary usage history, the matching unit 47 selects the images from the image with the same or closest entering time to the image with the same or closest leaving time as the arbitrary use history. Presume that the image corresponds to the history.

As described above, in the embodiment, the estimation result of the estimating unit 45 and the fare adjustment machine 20 are collated with the vehicle interior, vehicle, and time data estimated from the image by the estimating unit 45 and the usage history data of the fare adjustment machine 20. 20, the estimation result of the estimation unit 45 is adjusted to match the usage history of the fare adjustment machine 20, but the adjustment may be automatically performed by AI (artificial intelligence). .

Further, as described above, the matching unit 47 may be configured not to perform matching when the reading unit 46 cannot read the vehicle number from the image. Further, the matching unit 47 may be configured so as not to match the usage history in which the parking fee has been settled with the usage history of the passenger compartment based on the image.

(Step S503)
The collating unit 47 of the management server 40 stores the collated usage history in the storage device 43 in association with the image and the vehicle number read from the image.

(Notification process)
FIG. 11 is a flowchart showing an example of notification processing of the management system 1. As shown in FIG. An example of notification processing of the management system 1 will be described below with reference to FIG. 11 .

(Step S601)
When the reading unit 46 reads the vehicle number, the transmission unit 42 of the management server 40 refers to the usage history stored in the storage device 43 .

(Step S602)
The transmission unit 42 of the management server 40 determines whether or not the vehicle number read by the reading unit 46 has a track record of unpaid bills. If there is an unsettled record (YES), the management server 40 executes the process of step 603 . If there is no unpaid bill (NO), the management server 40 terminates the notification process.

(Step S603)
The transmission unit 42 of the management server 40 determines whether or not a preset condition (setting condition), for example, the number of unpaid times of XX times or more, the unpaid fee of XX yen or more, or the like, is satisfied. If the conditions are satisfied (YES), the management server 40 executes the process of step 604 . If the condition is not satisfied (NO), the management server 40 terminates the notification process.

(Step S604)
The transmission unit 42 of the management server 40 sends the registered contact information (for example, a telephone number or an e-mail address) with the same number as the vehicle number stored in association with the usage history for which the parking fee has not been settled. In addition to SMS (Short Message Service) and e-mail, what is read by the reading unit can be communicated via the Internet (for example, LINE (registered trademark), slack (registered trademark), teams (registered trademark), etc.) inform. In addition, it is preferable that the transmission unit 42 also transmits which parking lot 10 (identification number of the imaging device 30 may be used) from which the vehicle number is read from the transmitted image.

In addition, the vehicle number of the unsettled vehicle is registered in the storage device 43 of the management server 40, and when the same vehicle number as the registered vehicle number is read in step S601, the registered contact information (for example, telephone number, e-mail address), in addition to SMS (Short Message Service), e-mail, and methods that can be communicated via the Internet (e.g., LINE (registered trademark), slack (registered trademark), teams (registered trademark), etc.) can be

As described above, the management system 1 according to the embodiment is a management system for a parking lot having two or more compartments. Then, the management system 1 changes the imaging range at the first time interval, images the inside of the parking lot at the second time interval, and transmits the captured image, and the image transmitted by the imaging device 30. an estimating unit 45 for estimating which vehicle interior the image is based on the imaging time of the image, a reading unit 46 for reading the vehicle number from the image, and an estimating unit 45 and a management server 40 comprising a storage control unit 44 that stores the image and the vehicle number read from the image in the storage device 43 in association with the vehicle compartment based on the estimation result in . Therefore, even if the imaging device 30 that cannot synchronize the imaging range and the imaging timing is used, it is possible to estimate which image is of which vehicle interior, and to obtain the image and the vehicle number read from the image. It can be stored in association with the vehicle compartment.

In addition, the estimation unit 45 of the management server 40 estimates which vehicle interior the image is based on the correspondence relationship between the first time interval and the imaging range and the imaging time of the image. Therefore, it is possible to more accurately estimate which image captures which vehicle compartment.

Also, in the embodiment, the second time interval is shorter than the first time interval. Specifically, the second time interval is 1/n of the first time interval (n is an integer equal to or greater than 2) so that two or more images can be captured at one position. By doing so, even if the camera moves in the middle, it is devised so that one image can surely capture the vehicle interior.

In addition, the imaging device 30 according to the embodiment tours two or more imaging ranges according to a predetermined order. The predetermined order is set such that any one of the two or more imaging ranges continues two or more times. In this way, by placing a plurality of the same settings at the beginning of the cycle (two in the embodiment, resulting in four identical images being captured), the number of images captured at a specific position can be reduced to that of other positions. Therefore, it is possible to recognize which image is taken at which position, starting from the image taken at a specific position.

In addition, the estimation unit 45 of the management server 40 according to the embodiment determines which of the images captured at different times is a combination of images of an arbitrary vehicle interior according to the degree of similarity between the images captured at different times. Presume there is. Therefore, it is possible to more accurately estimate which image corresponds to which vehicle compartment.

In addition, the estimation unit 45 of the management server 40 according to the embodiment determines which image among the images captured at different times corresponds to a given vehicle according to the degree of similarity of the vehicle number read by the reading unit from the images captured at different times. It is estimated whether it is a combination of images of the room. Therefore, it is possible to more accurately estimate which image corresponds to which vehicle compartment.

In addition, the management system 1 according to the embodiment further includes a payment machine 20 that transmits a history of use of the passenger compartment, including times of entering and exiting the passenger compartment and results of payment. Then, the imaging device 30 transmits the imaging time of the image, and the management server 40, based on the entry/exit time to and from the vehicle compartment transmitted from the fare adjustment machine and the imaging time of the image, the usage history and the image based on the imaging time. A matching part 47 is provided for matching with the usage history of the passenger compartment. Then, the storage control unit 44 of the management server 40 stores the usage history in the storage device 43 in association with the image and the vehicle number read from the image according to the matching result at the matching part.
Therefore, the information transmitted from the payment machine 20 and the information transmitted from the imaging device 30 can be associated and stored.

Further, the matching unit 47 of the management server 40 according to the embodiment does not perform matching when the reading unit 46 cannot read the vehicle number from the image. Specifically, when the license plate cannot be detected and the vehicle number cannot be read, or when the license plate is detected but the vehicle number itself cannot be read, matching is not performed, so wasteful resources are not used.

In addition, the matching unit 47 of the management server 40 according to the embodiment does not match the usage history in which the parking fee has been settled with the usage history of the passenger compartment based on the image. If liquidation is being performed, no reconciliation is performed, thus avoiding wasted resources.

In addition, the management server 40 according to the embodiment includes a transmission unit that notifies the reading unit of the vehicle number having the same number as the vehicle number stored in association with the usage history of unpaid parking fees. 42 (second notification unit). Therefore, when the parking fee has not been settled, the fact can be notified, which is highly convenient.

[Modification of embodiment]
In addition to the parking lot usage history, the storage device 43 stores information such as whitelist information that describes preferentially managed vehicles, blacklist information that describes vehicles requiring special attention, and information such as stolen vehicles and arranged vehicles. Using this information, the transmission unit 42 (first notification unit) of the management server 40 transmits the same vehicle number as the vehicle number of the registered preferentially managed vehicle, special attention vehicle, stolen vehicle, arranged vehicle, etc. If is read by the reading unit, you will be notified of this by SMS (Short Message Service), e-mail, or a method that allows communication via the Internet (e.g., LINE (registered trademark), slack (registered trademark), teams (registered trademark) ), etc.).

Further, in the above embodiment, the imaging device 30 repeats the first position 1 twice and cycles the imaging range in the order of positions 1→1→2→3→4→5→6. By arranging the images in the order in which they were taken (in chronological order), it is possible to recognize which images are the images of positions 1, 2, . . . For example, as a method other than the above embodiment, a sign such as a specific mark that is clearly different from other patrol images in the parking lot is installed in the parking lot, or such a sign is found, and this sign is recognized. By arranging the images in the order in which they were taken (time series), it is possible to recognize which images are the images of positions 1, 2, . . . good too. The sign may be anything as long as it can be clearly recognized as being different from the image captured at another position. It may be an object or the like.

In the above-described embodiment, the estimation unit 45 estimates which image is the image of which vehicle compartment based on the imaging time. The estimation unit 45 can estimate which image is the image of which vehicle compartment based on the imaging order (receiving order) of the images.

In addition, the above embodiments and modifications are merely examples of specific implementations of the present invention, and the technical scope of the present invention should not be construed in a limited manner. be. Thus, the invention may be embodied in various forms without departing from its spirit or essential characteristics.

10 Parking lot 11A-11D vehicle compartment (parking space)
12 detection device 13 car stop 20 adjustment machine 21 reception unit 22 measurement unit 23 panel unit 24 adjustment unit 25 storage device 26 transmission unit 30 imaging device 40 management server 41 reception unit 42 transmission unit (notification unit)
43 storage device 44 storage control unit 45 estimation unit 46 reading unit 47 matching unit

Claims (14)

A management system for a parking lot having two or more compartments,
an imaging device that changes an imaging range at a first time interval, images the inside of the parking lot at a second time interval, and transmits the captured image;
a receiving unit that receives an image transmitted by the imaging device;
an estimating unit for estimating which vehicle interior the image is based on the imaging order or imaging time of the image;
a reading unit that reads a vehicle number from the image;
a management server comprising: a storage control unit that stores the image and the vehicle number read from the image in association with the vehicle compartment based on the estimation result of the estimation unit;
A management system comprising: The estimation unit
estimating which vehicle interior the image is based on the correspondence relationship between the first time interval and the imaging range, and the imaging order or imaging time of the image;
The management system according to claim 1, characterized by: the second time interval is shorter than the first time interval;
3. The management system according to claim 1 or 2, characterized by: The imaging device is
Cycle through two or more imaging ranges according to a predetermined order,
The predetermined order is
any of the two or more imaging ranges continues two or more times;
4. The management system according to any one of claims 1 to 3, characterized by: The estimation unit
estimating which image among the images whose imaging order or imaging time is before and after is a combination of images of an arbitrary vehicle interior according to the degree of similarity of the images whose imaging order or imaging time is before and after;
5. The management system according to any one of claims 1 to 4, characterized in that: The estimation unit
According to the degree of similarity of the vehicle number read by the reading unit from the images whose imaging order or imaging time is before and after, which image among the images whose imaging order or imaging time is before and after is a combination of images of an arbitrary vehicle interior. to estimate whether
5. The management system according to any one of claims 1 to 4, characterized in that: The management server is
a first reporting unit that reports to that effect when a vehicle number having the same number as the registered vehicle number is read by the reading unit;
7. The management system according to any one of claims 1 to 6, comprising: further comprising a payment machine that transmits a history of use of the passenger compartment including entry/exit times to and from the passenger compartment and settlement results;
The imaging device transmits the imaging time of the image,
The management server is
a matching unit that matches the usage history with the vehicle interior usage history based on the image based on the time of entering and exiting the vehicle transmitted from the fare adjustment machine and the imaging time of the image;
The storage control unit of the management server,
storing the usage history in association with the image and the vehicle number read from the image according to the matching result at the matching part;
8. The management system according to any one of claims 1 to 7, characterized by: The abutting part of the management server is
If the reading unit cannot read the vehicle number from the image, the matching is not performed.
The management system according to claim 8, characterized by: The abutting part of the management server is
The usage history in which the parking fee has been settled is not matched with the vehicle interior usage history based on the image.
10. The management system according to claim 8 or 9, characterized by: The management server is
A second reporting unit that reports to that effect when the reading unit reads a vehicle number having the same number as the vehicle number stored in association with the usage history for which the parking fee has not yet been settled;
11. The management system of claim 10, comprising: A management server for a parking lot having two or more compartments,
a receiving unit that receives an image transmitted from an imaging device that changes an imaging range at a first time interval and images the inside of the parking lot at a second time interval;
an estimating unit for estimating which vehicle interior the image is based on the imaging order or imaging time of the image;
a reading unit that reads a vehicle number from the image;
a storage control unit that stores the image and the vehicle number read from the image in association with the vehicle compartment based on the estimation result of the estimation unit;
A management server characterized by comprising: A management program for a parking lot having two or more compartments,
the computer,
a receiving unit that receives an image transmitted from an imaging device that changes an imaging range at a first time interval and images the inside of the parking lot at a second time interval;
an estimation unit that estimates which vehicle interior the image is based on the imaging order or imaging time of the image;
a reading unit that reads a vehicle number from the image;
a storage control unit that stores the image and the vehicle number read from the image in association with the vehicle compartment based on the estimation result of the estimation unit;
A management program characterized by functioning as A management method for a parking lot having two or more compartments,
an imaging device changing an imaging range at a first time interval, imaging the inside of the parking lot at a second time interval, and transmitting the imaged image;
a step in which the receiving unit of the management server receives the image transmitted by the imaging device;
a step of estimating, by an estimating unit of a management server, which vehicle interior the image is an image of, based on the image capturing order or image capturing time of the image;
A reading unit of the management server reading the vehicle number from the image;
a step in which the storage control unit of the management server stores the image and the vehicle number read from the image in association with the vehicle compartment based on the estimation result of the estimation unit;
A management method characterized by having

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