Parking lot management information processing device, information processing system, information processing method, and information processing program

Abstract

To reduce a nuisance in a parking lot subjected to managing.SOLUTION: An information processing device for managing a parking lot comprises: a first determination part for determining whether or not a person that enters the parking lot is a monitoring target person; a second determination part for determining whether or not a behavior of the monitoring target person corresponds to a predetermined behavior; and a first warning part for giving a first warning to a trouble maker that performs the predetermined behavior, when it is determined that the behavior corresponds to the predetermined behavior.SELECTED DRAWING: Figure 12

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing system, an information processing method, and an information processing program for parking lot management. [Background technology]

[0002] BACKGROUND ART Conventionally, there is known a technology for detecting people by monitoring a parking lot or the like to be managed with a detection sensor for the purpose of crime prevention or the like.

[0003] For example, a light control system first divides the area where a detection sensor performs detection into a "normal detection area" and a "threatening detection area," and detects whether a person is present in each area. When a person is detected, the light control pattern is switched depending on whether the person was detected in the "normal detection area" or the "threatening detection area." This technique for enhancing crime prevention effectiveness is known (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 5076048 Summary of the Invention [Problem to be solved by the invention]

[0005] Conventional technologies do not take into consideration behaviors that cause inconvenience to parking lot users and nearby residents (hereinafter referred to as "nuisance behavior"). On the other hand, parking lots often have obstructions, making it easy to avoid being seen by others. For this reason, nuisance behaviors may be carried out in parking lots while avoiding being seen by others. In response to this, conventional technologies have the problem of not being able to reduce nuisance behaviors that occur in parking lots that they manage.

[0006] The present invention aims to reduce nuisance behavior in parking lots managed by the owner. [Means for solving the problem]

[0007] In order to solve the above problems, in one aspect of the present invention, The information processing device is an information processing device that manages a parking lot, a first determination unit that determines whether a person who has entered the parking lot is a person to be monitored; a second determination unit that determines whether or not the behavior of the person being monitored corresponds to a predetermined behavior; a first warning unit that issues a first warning to a nuisance perpetrator of the predetermined act when the act is determined to be the predetermined act; The present invention is characterized by comprising: [Effects of the Invention]

[0008] According to the present invention, it is possible to reduce nuisance behavior in parking lots managed by the owner. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of the overall configuration of an information processing system. [Figure 2] FIG. 2 illustrates an example of a hardware configuration of a server. [Figure 3] FIG. 10 is a diagram illustrating an example of the first stage. [Figure 4] FIG. 10 is a diagram showing a first example of persons to be excluded from monitoring targets. [Figure 5] FIG. 10 is a diagram showing a second example of persons to be excluded from monitoring targets. [Figure 6] FIG. 10 is a diagram showing a third example of a person to be excluded from the monitoring targets. [Figure 7] FIG. 10 is a diagram illustrating an example of the second stage. [Figure 8] FIG. 10 is a diagram illustrating a first example of the third stage. [Figure 9] FIG. 10 is a diagram illustrating a second example of the third stage. [Figure 10] FIG. 10 is a diagram illustrating an example of a second warning. [Figure 11] FIG. 10 is a diagram illustrating an example of overall processing. [Figure 12]FIG. 2 is a diagram illustrating an example of a functional configuration. DETAILED DESCRIPTION OF THE INVENTION

[0010] Specific examples will be described below with reference to the accompanying drawings. In the following description, the reference numerals in the drawings refer to the same elements. Furthermore, the embodiments are not limited to the specific examples below, and the embodiments may include elements other than those shown in the drawings.

[0011] Hereinafter, an example of a service for providing a parking lot that temporarily rents out a space for parking a vehicle will be described. Specifically, the service is provided by preparing a parking space in advance.

[0012] In this example, the "specific area" is a vehicle compartment. Specifically, the vehicle compartment is a parking area partitioned to fit the size of a single vehicle. Note that the specific area is not limited to a vehicle compartment and may be a garage or the like.

[0013] The "service" refers to a service provided by a management company that provides a specific area for a vehicle and manages the specific area. The service provided in this embodiment is a so-called parking service, in which a vehicle is parked in a parking space.

[0014] An "object" is a tangible object that occupies a specific area when receiving a service. In this embodiment, the object is a vehicle. In the following example, the user is the owner and passenger of the vehicle. However, the user does not have to be the owner of the vehicle. For example, the vehicle may be a so-called rental car. Alternatively, the user may be a so-called "passenger" who is not the driver.

[0015] A "usage fee" is a fee paid by a user in exchange for a service received. Hereinafter, the usage fee is calculated based on the time the service is received (hereinafter referred to as "service time"). However, the calculation method for the usage fee does not have to be based on the service time. For example, the usage fee may be a fixed amount for each number of times the service is received.

[0016] The "service time" is determined by the "start time" when the service begins and the "end time" when the service ends. For example, if parking a vehicle in a parking space starts at "9:00" and ends at "11:00," the "start time" is "9:00." Furthermore, the "end time" is "11:00." The "service time" is then "2 hours." For example, if the fee is set to be charged every hour, the usage fee is calculated based on "2 hours." Note that the "service time" does not have to be in units of "hours." For example, the "service time" may be in units of "months," "weeks," or "days."

[0017] The "restraint" is realized, for example, by a gate. Specifically, the gate is installed at the entrance and exit of a parking lot. When the gate is open, the vehicle is not restrained and can move freely, such as entering or exiting the vehicle compartment, based on the driver's driving.

[0018] On the other hand, when the gate is closed, the vehicle is confined. Specifically, when the gate is closed, the vehicle is unable to leave the parking lot because the gate is an obstacle in the vehicle's path.

[0019] In this way, by controlling the opening and closing of the gate, the vehicle can be switched between a "restrained" state and an "open" state.

[0020] A "gate" is installed, for example, at the entrance and exit of a parking lot. When the gate opens and closes, it can restrict the entry and exit of vehicles. The "gate" is controlled by information (hereinafter referred to as "instruction information") that controls opening and closing based on whether payment has been made. For example, when payment is completed at the payment machine, instruction information instructing the gate to open is output to the gate. On the other hand, when a vehicle enters the parking lot, instruction information instructing the gate to close is output to the gate. Note that the instruction information may also be output by operation by an administrator, etc.

[0021] The "gate" may be installed at any location, with any type of mechanism, any control method, or any device configuration, as long as it can "restrain" or "release" the vehicle. For example, a gate may be installed for each vehicle compartment.

[0022] [First embodiment] 1 is a diagram showing an example of the overall configuration of an information processing system. For example, the information processing system 10 includes a sensor 11, a warning device 12, and a server 13. The sensor 11, the warning device 12, and the server 13 are connected to each other via a network 14, for example, and data is transmitted and received via the network 14.

[0023] [Sensor example] The sensor 11 is, for example, a camera (including one that uses invisible light such as infrared light), a thermometer, or the like. It is desirable that the sensor 11 be able to detect a person (including facial recognition, etc.) or identify the behavior of a person using AI (Artificial Intelligence), etc. However, the authentication process may be performed by transmitting data from the sensor 11 to another information processing device such as the server 13, and the information processing device receiving the data may perform the authentication process. The number of sensors 11 is not limited to one, and may be multiple, or a combination of multiple types.

[0024] The sensors 11 are installed according to the type of nuisance to be detected.

[0025] [Example of information processing device] 2 is a diagram showing an example of the hardware configuration of the server 13. Specifically, the server 13 is a device having a hardware configuration including a central processing unit (hereinafter referred to as "CPU 60"), a storage device 61, an input device 62, an output device 63, and a communication device 64.

[0026] The CPU 60 is an example of a computing device and a control device, and therefore performs various processes and controls various hardware components based on programs and the like.

[0027] The storage device 61 stores data, programs, etc. For example, the storage device 61 is a memory, a hard disk, etc.

[0028] The input device 62 is a device that accepts operations, and is, for example, a keyboard or a touch panel.

[0029] The output device 63 is a device that outputs processing results, etc. For example, the output device 63 is a display, an output connector, an image forming device, or the like.

[0030] The communication device 64 is a device that transmits and receives data to and from external devices via wire or wirelessly.

[0031] The hardware configuration is not limited to the above devices. Therefore, the information processing system may include a calculation device, a control device, a storage device, an input device, an output device, a communication device, an auxiliary device, or a sensor. Each device may be external.

[0032] [Example of output device] The warning device 12 is, for example, a display, a projector, or digital signage. As such, the size and type of the warning device 12 are not important as long as it is a device that can output visual information. Alternatively, the warning device 12 may be a light-emitting device that emits light, or a water-emitting device that emits water.

[0033] Moreover, the warning device 12 may be, for example, a device capable of outputting audio information, such as a speaker.

[0034] The information output by the warning device 12 is output based on data transmitted from the server 13, for example.

[0035] The number of warning devices 12 is not limited to one, but may be multiple or a combination of multiple types.

[0036] The warning device 12 may be any device that outputs an alarm according to the type of alarm. For example, the warning device 12 may output an odor of a predetermined fragrance, or may output smoke or the like.

[0037] The information processing system 10 configured with the above-described devices manages the parking lot 15. The information processing system 10 does not have to be a dedicated system, and may also serve as an information processing system that performs other management.

[0038] Hereinafter, a person who commits a "nuisance" in managing the parking lot 15 will be referred to as a "nuisance perpetrator 16." What constitutes a "nuisance" will be explained later.

[0039] On the other hand, there are legitimate users (hereinafter simply referred to as "users 18") who are not nuisance perpetrators 16 but who park vehicles 17 in parking lot 15 and use the service according to official procedures. For example, users 18 arrive at parking lot 15 in vehicles 17.

[0040] The information processing system 10 manages the parking lot 15 by performing the processes in the following order of, for example, a first stage, a second stage, and a third stage.

[0041] [Example of the first stage] 3 is a diagram showing an example of the first stage. For example, in the first stage, the information processing system 10 detects a nuisance perpetrator 16 entering a parking lot 15. Then, in the first stage, the detected person becomes a target of monitoring by the information processing system 10.

[0042] First, the sensor 11 detects a person approaching the parking lot 15. For example, if the parking lot 15 is separated from the outside area by a boundary line, a person who crosses the boundary line and enters the parking lot 15 (especially if the person is approaching the center of the parking lot 15) is detected and becomes a target for monitoring.

[0043] The boundary line is not limited to a line drawn on the ground, but may be a color or an object such as a block.

[0044] The sensor 11 is, for example, a camera. The camera is installed so that the parking lot 15 is within the camera's shooting range. Therefore, by analyzing the image captured by the camera, people in the image can be identified and it can be determined whether or not they have crossed the boundary line and entered the parking lot 15. However, the sensor 11 may also be a thermometer or the like.

[0045] A person detected by the sensor 11 entering the parking lot is regarded as a "monitoring target." The information processing system 10 tracks and monitors the monitoring target until the person leaves the parking lot 15.

[0046] Hereinafter, the determination of whether or not a person is a person to be monitored will be referred to as the "first determination."

[0047] It is desirable to exclude the following people from the list of people to be monitored:

[0048] [Examples of people to be excluded from monitoring] 4 is a diagram showing a first example of a person to be excluded from the monitoring target. In the following, it is assumed that a person can be detected by face recognition processing or the like, and a vehicle 17 can be detected by object recognition processing or the like.

[0049] Of the people who are designated as the monitoring targets, it is desirable to exclude user 18 from the monitoring targets. Specifically, a photograph of the passengers of vehicle 17 is taken, and their face, clothing, etc. are stored. Then, if the person is the same as the person who is stored, they are excluded from the monitoring targets and will not be monitored thereafter.

[0050] For example, a person who is in the vehicle 17, a person who has exited the vehicle 17, or a person who is approaching the vehicle 17 and moving is determined to be a user 18.

[0051] Therefore, for example, even if a user 18 gets out of vehicle 17 and is outside the detection area of ​​sensor 11, i.e., temporarily leaves parking lot 15, if the person is remembered, when the user re-enters parking lot 15 (for example, when the user returns to vehicle 17 after completing an errand such as shopping), the user 18 will be excluded from the list of persons to be monitored.

[0052] Note that user 18 may be identified by a method other than being a passenger in vehicle 17. For example, application software may be installed on a smartphone or the like to use parking lot 15. A person carrying a smartphone with a so-called "membership app" installed may be identified as user 18. For example, if location information acquired from the smartphone matches the location information of parking lot 15, it may be determined that user 18 is using parking lot 15.

[0053] 5 is a diagram showing a second example of a person to be excluded from the monitoring targets. In the following, it is assumed that a person can be detected by face recognition processing or the like.

[0054] The user 18 (i.e., a person to be excluded from the monitoring targets) is pre-registered. Specifically, a face image or identification information for identifying the user 18 is pre-registered as registration data D1 so that the server 13 can acquire the registration data D1.

[0055] For example, if the enrollment data D1 is a face image, and the sensor 11 is a camera, the user 18 can be identified by comparing an image of the user 18 with the face image in the enrollment data D1.

[0056] The registration data D1 may be other identification information. For example, after the registration data D1 is pre-registered, a smartphone or an ID card held by the user 18 may transmit the identification information to the server 13 for verification. Furthermore, a combination of multiple data types and identification methods may be used for identification.

[0057] For example, it is desirable that local residents or management staff of the parking lot 15 be pre-registered as users 18.

[0058] 6 is a diagram showing a third example of a person to be excluded from the monitoring targets. In the following, it is assumed that a person can be detected by face recognition processing or the like, and that time can be measured by a timer or the like.

[0059] Those who are monitored are those who stay in the parking lot 15 for a long time. For example, the threshold for the stay time is set to about five minutes. In other words, those who cross the boundary line and enter the parking lot 15 for only a short time are not monitored. The threshold for the stay time is a time that is set in advance based on the size of the parking lot 15 or the traffic conditions in the vicinity.

[0060] The staying time is, for example, the time from the time when the vehicle crosses the boundary line and enters the parking lot 15 to the time when the vehicle crosses the boundary line and exits the parking lot 15. However, the start and end times of the staying time may be set to other times.

[0061] Alternatively, the trajectory of a person can be identified by using optical flow, etc. If the trajectory, i.e., the direction in which the person is moving, is outside the parking lot 15 or toward an exit, etc., the person may be excluded from the monitoring target.

[0062] For example, the user 18 may be a passerby passing by the parking lot 15.

[0063] As described above, if the monitoring target persons can be excluded, the number of monitoring target persons can be reduced. When monitoring the monitoring target persons, it may be necessary to process in real time the people who are within the area detected by the sensor 11, i.e., within the parking lot 15, and the processing load tends to increase as the number of people increases. Therefore, if the monitoring target persons can be reduced, the processing load can be reduced.

[0064] [Example of the second stage] Fig. 7 is a diagram showing an example of the second stage. In the second stage, after the first stage, i.e., after the person to be monitored has been determined, it is determined whether the act performed by the person to be monitored corresponds to a predetermined act (hereinafter referred to as "predetermined act"). Hereinafter, the determination of whether the act of the person to be monitored corresponds to a predetermined act is referred to as the "second determination."

[0065] A predetermined act is, for example, a nuisance act such as smoking within the premises of parking lot 15. Below, an example will be explained in which the nuisance act is smoking act 20. However, a predetermined act is not limited to a nuisance act. Specifically, it may be a preparatory act before committing a nuisance act. For example, a preparatory act is to put a cigarette in one's mouth, ignite it with a lighter, or take out a cigarette pack in order to commit smoking act 20. In this way, if a preparatory act is performed, it may be presumed that a nuisance act will be committed after this.

[0066] It is desirable that the second determination determine the behavior of the monitored person based on a plurality of behaviors. Specifically, the second determination determines that the behavior of the monitored person corresponds to the predetermined behavior when both preparatory behavior and nuisance behavior are determined as the predetermined behavior. In this way, when the determination is made based on a plurality of behaviors, the second determination can be made with high accuracy.

[0067] For example, the sensor 11 is a temperature sensor, and based on the temperature measurement results, the smoking behavior 20 is determined to be a high temperature exceeding a threshold. Specifically, first, the temperature of the cigarette is input in advance as determination data D2.

[0068] Next, when a cigarette is lit or a lighter is used in a smoking behavior 20, the ignition point becomes high temperature. That is, if a high temperature occurs within the area detected by the sensor 11, i.e., within the parking lot 15, the sensor 11 determines that a smoking behavior 20 is occurring. Therefore, a threshold value for determining a high temperature is set in the determination data D2.

[0069] It should be noted that the smoking behavior 20 may be determined by something other than temperature. For example, if the sensor 11 is a camera, it can recognize the color of the flame, the shape of the cigarette, the shape of the smoke, or the action of smoking a cigarette.

[0070] Additionally, if the sensor 11 is an olfactory sensor, the smoking behavior 20 can be determined from the smell of cigarettes. Furthermore, since the smoking behavior 20 is often performed in the shadow of an object or the like within the parking lot 15, the smoking behavior 20 may be determined by regarding a person approaching a designated area, which is a predetermined area set in the shadow of an object or the like, as engaging in the smoking behavior 20.

[0071] The determination data D2 is input according to the type of nuisance, the type of sensor 11, the determination method, etc. Also, there may be multiple determination methods.

[0072] If it is determined in the second determination as described above that the behavior of the person to be monitored corresponds to the predetermined behavior, the person to be monitored is determined to be a nuisance perpetrator 16.

[0073] It should be noted that there may be people who habitually engage in nuisance behavior. In this way, habitual nuisance behavior can be malicious. Therefore, it is desirable for the information processing system 10 to store the characteristics (e.g., clothing, face, physique, gait, belongings, etc.) of a person determined to be a nuisance perpetrator 16 as image data or the like. In this way, the existence of image data or the like can serve as evidence that the person is habitually engaging in nuisance behavior.

[0074] [Example of stage 3] Figure 8 is a diagram showing a first example of the third stage. In the third stage, after the second stage, i.e., once a nuisance perpetrator 16 has been determined, a predetermined warning is issued to the nuisance perpetrator 16. Hereinafter, the warning issued to the nuisance perpetrator 16 will be referred to as the "first warning."

[0075] The first warning is a process of warning the nuisance perpetrator 16 to stop the nuisance behavior by using light or sound or the like.

[0076] For example, it is assumed that the warning device 12 is a laser emitting device, and in this case, the warning device 12 emits a laser beam toward the cigarette smoked by the nuisance perpetrator 16.

[0077] In this way, when the nuisance perpetrator 16 is made aware that his / her smoking behavior 20 has been recognized, the nuisance perpetrator 16 often stops the nuisance behavior. In this way, the information processing system 10 can reduce nuisance behavior in the parking lots it manages.

[0078] Additionally, reducing nuisance behavior may deter crime by making people feel that care is being taken, based on the Broken Windows Theory.

[0079] The first warning is not limited to the emission of laser light. For example, the first warning may be a sound or the like. For example, a sound such as "Smoking is prohibited in the parking lot 15" may be output. When issuing such a sound warning, the warning device 12 is provided with a speaker or the like.

[0080] 9 is a diagram showing a second example of the third stage. In the second example, the warning device 12 is, for example, a projector, a display, or a digital signage.

[0081] The warning device 12 displays a warning message such as "No smoking here!!" The warning message is set in advance.

[0082] If the sensor 11 is a camera, the warning device 12 may issue the first warning using an image captured by the camera. As shown in the figure, when a smoking behavior 20 is recognized, image data of a nuisance perpetrator 16 engaging in the smoking behavior 20 is generated. Next, the warning device 12 displays the image data, i.e., the nuisance perpetrator 16. In this way, issuing a warning that identifies the nuisance perpetrator 16 can further reduce nuisance behavior.

[0083] Similarly, the warning device 12 may project a warning onto the road surface using projection mapping. The location of the projection is not limited to the floor, but may also be a wall (for example, the back of a signboard). The line of sight of the nuisance perpetrator 16 can be analyzed using image data, etc. It is desirable that the warning display be displayed in the line of sight of the nuisance perpetrator 16.

[0084] The first warning may be a warning sound or light emitted by a warning light or the like. Furthermore, the first warning may be the generation of mist or moisture. Furthermore, the first warning may be the use of a so-called "mosquito sound" or lighting such as a spotlight.

[0085] It is desirable that the type of first warning varies depending on the time of day. Specifically, the first warning is primarily an audio warning during the daytime, while it is desirable that the first warning uses light or video during the nighttime.

[0086] At night, using audio or other alerts may be a nuisance to neighbors. Also, during the daytime, the surroundings are brighter than at night, so it may be difficult to see the light or video. Therefore, if the type of alert can be changed depending on the time of day, the alert will be more effective and nuisance behavior can be reduced.

[0087] Furthermore, it is desirable that the type of warning can be changed depending on the type of nuisance behavior. For example, for smoking behavior 20, the first warning is desirably a warning using mist or water. Cigarettes may be extinguished in the presence of water. Therefore, if a warning using mist or water is given for smoking behavior 20, smoking behavior 20 can be more effectively deterred.

[0088] It is desirable that the first warning be issued promptly in response to the nuisance. In other words, it is desirable that the first warning be issued in so-called real-time processing. Smoking behavior 20 often lasts for a few minutes. Therefore, it is desirable that the first warning be issued within a few minutes after the nuisance is determined (the warning start time until the first warning is issued is determined in advance by the specifications of the device, etc.).

[0089] [Example of second warning] FIG. 10 is a diagram showing an example of a second warning. Hereinafter, a warning issued separately from the first warning will be referred to as a "second warning." The second warning is a warning issued before the first warning. In other words, the second warning is a so-called "pre-warning."

[0090] The second warning is the first stage, i.e., a warning given to the person being monitored. However, the second warning may be given before the first warning, and may be given after the second determination, and then the first warning may be given if the nuisance behavior continues.

[0091] For example, the warning device 12 is a projector, a display, a digital signage, or the like. Before issuing the second warning, the warning device 12 displays an advertisement, etc. On the other hand, when the second warning is issued, that is, when a person to be monitored is determined, the display switches from the advertisement display to a warning message.

[0092] Alternatively, for example, when the first judgment or the second judgment is made based on the staying time, separate thresholds may be set for the first warning and the second warning. Hereinafter, the threshold for the first warning will be referred to as the "first threshold." Meanwhile, the threshold for the second warning will be referred to as the "second threshold."

[0093] The first threshold is set to be longer than the second threshold, so a second warning is issued to anyone who stays for a short period of time. After that, a first warning is issued to anyone who stays for a long period of time exceeding the first threshold.

[0094] The first warning may not be issued if it is determined that the nuisance has ceased due to the issuance of a second warning, etc. For example, if it is determined that the nuisance perpetrator 16 is moving toward the exit, i.e., is about to leave, or has stopped smoking 20, etc., the first warning may not be issued.

[0095] It is desirable that the second warning be "lighter" than the first warning. Specifically, the second warning should be quieter or less dramatic than the first warning. In this way, if warnings are issued in stages according to the situation, nuisance behavior can be prevented.

[0096] [Examples of nuisance behavior] Nuisance behavior refers to behavior that users 18 find annoying if it occurs within the premises of parking lot 15, or behavior that causes a deterioration in the environment within parking lot 15 or the surrounding area. Nuisance behavior can take various forms, such as eating and drinking, dumping garbage, using the parking lot for purposes other than those intended (for example, operating a van without permission or using the parking lot for construction on adjacent land), playing sports, parking motorcycles, walking animals, excreting animals, or long-term stays by large groups of people. Of course, these are just examples, and there may be other forms as well.

[0097] Depending on the type of nuisance, the type of sensor 11 is determined and threshold values ​​and the like are set.

[0098] For example, smoking 20 often produces unsanitary secondhand smoke, odors, and cigarette butts, which can have adverse health effects on passersby. The odor can be unpleasant for neighbors. Cigarette butts can cause stains or fires.

[0099] Additionally, the Sport crashes into parked vehicles 17, causing damage.

[0100] Walking or defecating animals will cause the parking lot 15 to become dirty.

[0101] When a motorcycle is parked, it is left unattended, creating an obstacle in the parking lot 15.

[0102] Long-term stays are often made by people who are not related to those using the parking lot 15, and it is often undesirable for such people to be in the parking lot 15, especially when a large number of people are staying.

[0103] [Overall processing example] 11 is a diagram showing an example of the overall processing. The information processing system 10 executes the following overall processing after the sensor 11 is installed and after data is input.

[0104] In step S01, the information processing system 10 determines whether or not the person who has entered the parking lot 15 is a person to be monitored. Specifically, as shown in Fig. 3, the information processing system 10 determines whether or not the person who has entered the parking lot 15 is a person to be monitored.

[0105] Next, if a person to be monitored is determined (YES in step S01), the information processing system 10 proceeds to step S02. On the other hand, if a person to be monitored is not determined (NO in step S01), the information processing system 10 ends the entire process.

[0106] In step S02, the information processing system 10 determines whether the behavior of the person to be monitored corresponds to a predetermined behavior. Specifically, as shown in Fig. 7, the information processing system 10 determines whether the behavior of the person determined to be the person to be monitored corresponds to a nuisance behavior or the like.

[0107] Next, if it is determined that the behavior of the person to be monitored corresponds to the predetermined behavior (YES in step S02), the information processing system 10 proceeds to step S03. On the other hand, if it is not determined that the behavior of the person to be monitored corresponds to the predetermined behavior (NO in step S02), the information processing system 10 ends the entire process.

[0108] In step S03, the information processing system 10 issues a warning. Specifically, as shown in Fig. 8, the information processing system 10 issues a warning to the nuisance perpetrator 16 who is performing a predetermined act to stop the nuisance act.

[0109] As described above, the information processing system 10 performs the first determination and the second determination to determine the nuisance perpetrator 16. Next, a warning is issued to the nuisance perpetrator 16. Note that there may be multiple determinations and warnings.

[0110] [Example of functional configuration] 12 is a diagram illustrating an example of a functional configuration. For example, the information processing system 10 includes a first determination unit 10F1, a second determination unit 10F2, and a first warning unit 10F3. It is preferable that the information processing system 10 further includes a second warning unit 10F4 and a recognition unit 10F5.

[0111] The first determination unit 10F1 performs a first determination procedure to determine whether or not a person who has entered the parking lot 15 is a person to be monitored. For example, the first determination unit 10F1 is realized by the sensor 11 or the like.

[0112] The second determination unit 10F2 performs a second determination procedure to determine whether or not the behavior of the person to be monitored corresponds to a predetermined behavior. For example, the second determination unit 10F2 is realized by the sensor 11 or the like.

[0113] When it is determined that the behavior of the monitored person corresponds to a predetermined behavior, the first warning unit 10F3 performs a first warning procedure to issue a first warning to the person committing the nuisance. For example, the first warning unit 10F3 is realized by the warning device 12 or the like.

[0114] The second warning unit 10F4 performs a second warning procedure for issuing a second warning. For example, the second warning unit 10F4 is realized by the warning device 12 or the like.

[0115] The identification unit 10F5 performs an identification procedure to identify a passenger who has boarded the vehicle 17. For example, the identification unit 10F5 is realized by the sensor 11 or the like.

[0116] With the above configuration, the information processing system 10 first determines the person to be monitored. Next, the information processing system 10 determines whether the behavior of the person to be monitored corresponds to a predetermined behavior. In this way, the information processing system 10 identifies people who are engaging in nuisance behavior, etc. Then, it issues a warning to the person engaging in nuisance behavior. In this way, the information processing system 10 urges the person to stop the nuisance behavior by issuing a warning. Therefore, the information processing system 10 can reduce nuisance behavior in the parking lot 15 that it manages.

[0117] Since crime prevention systems do not anticipate nuisance behavior, they often cannot detect the behavior, i.e., the behavior is overlooked. Also, in crime prevention systems, the behavior often becomes a "major incident" such as being reported to the police. On the other hand, the information processing system 10 can issue a warning according to the severity of the nuisance behavior.

[0118] [Other embodiments] Each device does not have to be a single device, that is, each device may be configured by combining multiple devices.

[0119] The present invention may be realized by an information processing program (including firmware and programs equivalent thereto; hereinafter simply referred to as a "program") that executes processing for realizing the information processing method exemplified above, or processing equivalent to the processing shown above.

[0120] That is, the present invention may be realized by a program written in a programming language or the like so as to issue instructions to a computer and obtain a predetermined result. Note that the program may be configured so that part of the processing is executed by hardware such as an IC (Integrated Circuit).

[0121] The program causes the computer to execute the above-described processes by cooperating with the arithmetic unit, control unit, storage device, etc. That is, the program is loaded into the main storage device, etc., and issues instructions to the arithmetic unit to perform calculations, thereby operating the computer.

[0122] The program may also be provided via a computer-readable recording medium or via a telecommunications line such as a network.

[0123] The present invention may be realized in a system composed of multiple devices. That is, an information processing system using multiple computers may execute the above-described processes in a redundant, parallel, distributed, or combination thereof manner. Therefore, the present invention may be realized in devices and systems other than those having the hardware configurations described above.

[0124] The present invention is not limited to the above-described exemplary embodiments. Therefore, the present invention may be modified or added to without departing from the technical gist of the present invention. Therefore, all technical matters included in the technical concept described in the claims are subject to the present invention. The above-described exemplary embodiments are preferred examples. Those skilled in the art will be able to realize various modifications from the disclosed content, and such modifications are included in the technical scope described in the claims. [Explanation of symbols]

[0125] 10: Information Processing Systems 10F1: 1st judgment section 10F2: 2nd judgment section 10F3: 1st warning part 10F4: 2nd warning part 10F5:Identification part 11: Sensor 12: Warning device 13: Server 14: Network 15: Parking lot 16: Troublemaker 17: Vehicle 18:User 20: Smoking 60:CPU 61:Storage device 62: Input device 63: Output device 64: Communication equipment D1: Registration data D2: Judgment data

Claims

1. An information processing device for managing a parking lot, a first determination unit that determines whether or not a person who has entered the parking lot is a person to be monitored; a second determination unit that determines whether or not the behavior of the person to be monitored corresponds to a predetermined behavior; a first warning unit that issues a first warning to a nuisance perpetrator of the predetermined act when the act is determined to be the predetermined act; An information processing device comprising:

2. Further comprising a second warning unit that issues a second warning different from the first warning to the person to be monitored, The second warning is Outputting audio information to the nuisance perpetrator, outputting visual information indicating a warning to the nuisance perpetrator, emitting light to illuminate the nuisance perpetrator, pouring water on the nuisance perpetrator, or a combination of these. The information processing device according to claim 1 .

3. The nuisance committed by the nuisance perpetrator is as follows: Activities including smoking, sports, parking motorcycles, walking animals, defecating, or staying for long periods within the parking lot. The information processing device according to claim 1 .

4. The second determination unit is Based on the result of measuring the temperature, if the temperature is high and exceeds a threshold, the person is determined to be a nuisance perpetrator who is smoking. The information processing device according to claim 3 .

5. An identification unit for identifying a passenger who has boarded a vehicle using the parking lot, The second determination unit is If the person is a passenger, it is determined that the person is not a nuisance perpetrator. The information processing device according to claim 1 .

6. An information processing system including an information processing device for managing a parking lot, The information processing device includes: a first determination unit that determines whether or not a person who has entered the parking lot is a person to be monitored; a second determination unit that determines whether or not the behavior of the person to be monitored corresponds to a predetermined behavior; and a first warning unit that issues a first warning to a nuisance perpetrator of the predetermined act when the act is determined to correspond to the predetermined act. Information processing system.

7. An information processing method executed by an information processing device that manages a parking lot, a first determination step for determining whether or not a person who has entered the parking lot is a person to be monitored; a second determination step for determining whether or not the behavior of the person to be monitored corresponds to a predetermined behavior; a first warning step of issuing a first warning to a nuisance perpetrator of the predetermined act when the act is determined to correspond to the predetermined act; An information processing method comprising:

8. An information processing program for causing a computer to execute the information processing method according to claim 7.

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