Special passing person discrimination system

Abstract

To provide a technique to prevent a leakage when determining whether a special passing person (for instance, a white cane user) exists within a target space.SOLUTION: A special passing person discrimination system comprises: image acquisition means for acquiring a space image, which is an image obtained by capturing a target space including passing persons; special passing person specifying means for analyzing the space image acquired by the image acquisition means and for specifying a special passing person having a special feature among the passing persons; passing person communication means held by the special passing person; communication means which performs wireless communication with the passing person communication means and detects that the passing person communication means is in the target space based on a communication result with the passing person communication means; and determination means for determining whether the special passing person exists in the target space based on a specification result obtained by the special passing person specifying means and a detection result obtained by the communication means.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a special passerby discrimination system. [Background technology]

[0002] There is a technology that takes a picture of a station platform, analyzes the image, and identifies whether or not there are people using white canes or wheelchairs (for example, Patent Document 1). In addition, there is a technology in which, when a user carrying a white cane approaches the communication range of a designated switch, data is sent and received between the designated switch and the white cane (device) via Bluetooth (registered trademark), and the control unit can obtain information about the user via the designated switch (for example, Patent Document 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2022-74249 [Patent Document 2] Japanese Patent Publication No. 2022-170426 Summary of the Invention [Problem to be solved by the invention]

[0004] In the case of Patent Document 1, it is expected that station platforms and the like will be crowded, and if they are crowded, it may be impossible to identify people using white canes or wheelchairs, and there is a risk that people using white canes or wheelchairs will not be identified. In the case of Patent Document 2, there was a problem in that it was not possible to identify people using white canes or wheelchairs who do not have a device that transmits and receives signals to and from a specified switch.

[0005] The present invention has been made in consideration of the above-mentioned problems, and relates to a technology for determining whether or not there is a special passerby with special characteristics in a target space based on a photographed image of the target space and the communication results between a communication means installed in a specified space including the target space and a passerby communication means held by the passerby. [Means for solving the problem]

[0006] The present invention relates to a special passerby discrimination system that includes an image acquisition means for acquiring a spatial image, which is an image captured of a target space including passersby; a special passerby identification means for analyzing the spatial image acquired by the image acquisition means and identifying special passersby with special characteristics among the passersby; a passerby communication means held by the special passerby; a communication means for wirelessly communicating with the passerby communication means and detecting the presence of the passerby communication means in the target space based on the communication results with the passerby communication means; and a determination means for determining whether the special passerby is present in the target space based on the identification results of the special passerby identification means and the detection results of the communication means. [Effects of the Invention]

[0007] The technology provided by the present invention determines whether special pedestrians with special characteristics (e.g., people using a white cane or wheelchairs) are present in a target space using photographic images and wireless communication, thereby reducing the risk of missing out on identifying special pedestrians. [Brief explanation of the drawings]

[0008] [Figure 1] (a) is an image of the target space (station platform) captured, and (b) is an image of the target space (station platform) captured in a more crowded state than (a). [Figure 2] (a) is a diagram showing a person walking with a white cane, and (b) is a diagram showing a person walking with a caregiver. [Figure 3] FIG. 10 is a diagram showing a wheelchair user. [Figure 4] FIG. 1 is a block diagram of a special passerby discrimination system. [Figure 5] 1 is a main flowchart of a special passerby processing system. [Figure 6] FIG. 2 is an image diagram of a communication range of a communication unit. [Figure 7] FIG. 2 is an image diagram of a communication range of a communication unit. [Figure 8]FIG. 10 is a diagram showing a determination result of a determination process. [Figure 9] FIG. [Figure 10] FIG. 1 is a conceptual diagram showing the relationship between the head and foot positions of a pedestrian. [Figure 11] FIG. 10 is a conceptual diagram of a method for calculating the coordinates of the foot position of a pedestrian. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described. FIG. 1(a) shows an overview of a target space in which a special passerby is identified by the special passerby discrimination system (hereinafter, sometimes referred to as "this system"). In this embodiment, the target space is a platform within a station. The target space is equipped with train tracks (not shown), an elevator 10, and braille blocks 20 as station facilities. An imaging device 210 that captures images of the target space and a communication means 220 (beacon terminal 220) that transmits light or radio waves called a beacon into the target space are also provided. The imaging device 210 may be a general RGB camera or a monochrome camera, and the performance and specifications of the imaging device 210 are not limited. The imaging device 210 may also be an imaging device 210 that has been installed in advance within the station for security purposes. Figure 1(b) shows the same target space as Figure 1(a). Compared to Figure 1(a), Figure 1(b) shows a state where there are more pedestrians in the target space (a crowded state). Figures 2(a) and (b) show a person M using a white cane, and Figure 3 shows a person W in a wheelchair. A white cane user M holds a white cane 30. As shown in FIG. 2(a), the white cane user M generally walks with the tip of the white cane 30 in contact with the ground (floor) two steps ahead of the white cane user M, within a range of about shoulder width. Furthermore, when the white cane user M is walking with someone guiding him or when he is not walking (when he is stationary, such as when he is waiting for a train), he holds the white cane 30 approximately vertically and close to his body. Thus, the positional relationship between the white cane user M and the white cane 30 when walking and when stationary differs. The white cane user M also holds a pedestrian communication unit 230 (a mobile terminal 232 or a dedicated terminal 234). The mobile terminal 232 or dedicated terminal 234 may be located in a position visible from the outside or in an invisible position (for example, in a pocket of the white cane user M's clothing or in a bag carried by the white cane user M). As shown in Fig. 3, wheelchair user W is seated in wheelchair 40. Wheelchair user W carries passerby communication unit 230 (portable terminal 232 or dedicated terminal 234). Portable terminal 232 or dedicated terminal 234 may be located in a position visible from the outside or in a position that cannot be seen (for example, in a pocket of clothing worn by wheelchair user W or in a bag carried by wheelchair user W).

[0010] Figure 4 shows a block diagram of this system. The present system includes an image acquisition unit 110, a special passerby identification unit 120, a determination unit 130, a communication unit 220, and a passerby communication unit 230. It also includes a notification control unit 140, a passerby density calculation unit 150, an object determination unit 160, a beacon control unit 170, a notification unit 180, a display unit 185, and an imaging device 210. The image acquisition unit 110, the special passerby identification unit 120, the determination unit 130, the notification control unit 140, the passerby density calculation unit 150, the object determination unit 160, and the beacon control unit 170 are provided in an arithmetic processing device 100 provided in the present system.

[0011] The image acquisition unit 110 (image acquisition means) is a means for acquiring a space image, which is an image obtained by capturing a target space including passersby, and is provided in the arithmetic processing device 100. "Pedestrians" are people in the target space, regardless of age, gender, walking style, or whether they are walking, running, standing, sitting, etc. Pedestrians also include special pedestrians (people with white canes M and people in wheelchairs W). The "target space" is a space in which a special passerby included in the passersby is to be identified, and is a space in which passersby exist, specifically, a space such as a train station, an airport, or a shopping mall, or a specific space within a train station, an airport, or a shopping mall, such as a staircase, an escalator, a passageway, an elevator, an entrance / exit, etc. In this embodiment, the target space is a train platform as shown in Figure 1(a) or (b). A "spatial image" is an image captured of a target space including passersby, and may be either a still image or a moving image. This system also determines whether an identical object has been present in the target space for a predetermined period of time or longer, and therefore, this determination cannot be made with an image taken at only one point in time (only one still image). Therefore, when determining whether an identical object has been present in the target space for a predetermined period of time or longer, it is necessary to acquire a moving image or multiple still images. The spatial image is an image captured by an imaging device 210 (camera), and the imaging device 210 may be a general RGB camera or a monochrome camera, and the performance and specifications of the imaging device 210 are not limited. "Acquire" means to take in the spatial image data to the special passerby discrimination system 200, specifically to take in the spatial image data to the arithmetic processing device 100. The source of the spatial image data does not matter, for example, the spatial image data may be taken in to the arithmetic processing device 100 via a medium on which the spatial image data is recorded, or the spatial image data captured by the imaging device 210 may be taken in to the arithmetic processing device 100 via a line or by wireless communication.

[0012] The special passerby identification unit 120 (special passerby identification means) is a means for analyzing the spatial image acquired by the image acquisition unit 110 and identifying special passersby with special characteristics among passersby, and is provided in the calculation processing device 100. A "special feature" is a feature possessed by a passerby, and may be any feature that can be identified from the passerby's appearance, such as a physical feature of the passerby, such as a pregnant woman or a passerby of a certain height or above; a feature based on what the passerby is carrying (an object or person), such as carrying a white cane, carrying crutches, accompanying a guide dog, holding an infant, or carrying luggage of a certain size or above; or a feature of the passerby's means of transportation, such as riding in a wheelchair or riding in a stroller. In this embodiment, one of the purposes of identifying special passersby is to provide specific services to white cane users and wheelchair users who use stations, so a "special feature" is defined as carrying a white cane or riding in a wheelchair, and white cane user M or wheelchair user W is defined as a "special passerby." While any method may be used by the special passerby identification unit 120 to analyze the spatial image, in this embodiment, the special passerby is identified using a trained model obtained by machine learning. In this embodiment, the analysis is performed using a trained model that has been trained in advance using images of various people using white canes or images of various people in wheelchairs. By using a trained model that corresponds to the special characteristics of the special passerby to be identified, it becomes possible to identify the special passerby to be identified. Note that when the special passerby identification unit 120 identifies a special passerby, it does not mean identifying an individual, but rather "estimating" that the target passerby is a special passerby.

[0013] The passerby communication unit 230 (passerby communication means) is a communication means possessed by a special passerby, and includes both general-purpose devices such as a mobile phone or tablet device, and devices specialized for this system that can send and receive predetermined signals to identify special passersby. In both the general-purpose device and the specialized device, the passerby communication unit 230 is a communication terminal, and is portable hardware that constitutes part of the communication means. As will be described in detail later, the passerby communication unit 230 and the communication unit 220 operate as a pair, and therefore the type of device to be used as a set must be determined.

[0014] The communication unit 220 (communication means) is a means for wirelessly communicating with the passerby communication unit 230 and detecting the presence of the passerby communication unit 230 in the target space based on the communication result with the passerby communication unit 230. "Wireless communication" may be any communication method or communication standard, but in this embodiment, considering that communication with the passerby communication unit 230 is established in a space where passersby are present, a beacon is used, and a beacon terminal 220 is used as the communication unit 220. When a beacon is used, although it depends on the carrying state of the passerby communication unit 230, Bluetooth signal communication is established if the distance between the communication unit 220 and the passerby communication unit 230 is about 30 to 100 m, so the communication unit 220 may be provided taking into consideration the size of the target space. "Communication result with passerby communication unit 230" is the result of sending and receiving a specified signal between communication unit 220 and passerby communication unit 230, such as whether communication unit 220 received a specified signal from passerby communication unit 230, or whether passerby communication unit 230 responded to a specified signal from communication unit 220.

[0015] The determination unit 130 (determination means) is a means for determining whether or not a special passerby is present in the target space based on the identification results of the special passerby identification unit 120 and the detection results of the communication unit 220. The determination of whether or not a special passerby is present in the target space is based on the results of the analysis of the spatial image of the target space by the special passerby identification unit 120 and the results of communication between the communication unit 220 and the passerby communication unit 230. In other words, the determination of whether or not a special passerby is present in the target space is made using two different types of results. This makes it possible to prevent the overlooking of identification of special passersby (white cane user M or passenger W).

[0016] The notification control unit 140 (notification control means) is a means for causing the notification unit 180 or the passerby communication unit 230 provided in this system to notify predetermined information, and is provided in the arithmetic processing device 100. If the notification unit 180 is a display device, it transmits a control signal required for displaying the predetermined information, and if the notification unit 180 is an audio device (speaker), it transmits a control signal required for audio output so that the predetermined information is output as audio.

[0017] The pedestrian density calculation unit 150 (pedestrian density calculation means) is means for analyzing the acquired space image and calculating an index value relating to the pedestrian density in the target space, and is provided in the arithmetic processing device 100. "Pedestrian density index" is a value that represents the number of pedestrians present in a target space. When there are many pedestrians in the same target space, the pedestrian density is higher than when there are few pedestrians in the same target space. Also, even if the number of pedestrians present is the same depending on their physical size, when there are many large pedestrians, the pedestrian density is higher than when there are the same number of small pedestrians (for example, young children). Therefore, the pedestrian density index is a value that represents the number of pedestrians present relative to the floor area of ​​the target space, such as a value based on the floor area of ​​the target space and the number of pedestrians in the target space, a value based on the sum of the floor area of ​​the target space and the equivalent of the ground contact area of ​​pedestrians in the target space (total number of pedestrians present), or a value based on the floor area of ​​the target space and the equivalent of the maximum horizontal cross-sectional area of ​​pedestrians (total number of pedestrians present). Details will be given later, but the index value for pedestrian density is the floor area of ​​the target space divided by the number of pedestrians in the target space, or the ratio of the area of ​​the pedestrian image to the total area of ​​the acquired spatial image.

[0018] The object determination unit 160 (object determination means) is a means for analyzing the acquired space image and determining whether or not the same object has been present at a specific position in the target space for a predetermined period of time or more, and is provided in the arithmetic processing device 100. The "specific position in the target space" may be any position in the target space, but should be a position that one wishes to observe (pay particular attention to), and should be a position that would hinder the passage of the white cane user M or wheelchair user W (for example, near tactile paving blocks or escalators) or a position that is difficult for people to see (for example, a position in the shadow of a pillar, etc.). In this embodiment, if an object (for example, a suitcase) is present on a tactile paving block or near an escalator for more than a predetermined period of time, it will be difficult for the white cane user M or wheelchair user W to pass through, so it is determined whether an object has been present in such a position for more than a predetermined period of time. The "predetermined period" can be any period, but if it is set to a short period, there is a risk that the object will be mistakenly detected as an object whose owner is moving rather than as an object that has been left unattended, so the predetermined period should be set taking this into consideration.

[0019] The beacon control unit 170 (beacon control means) is a means for controlling the intensity of radio waves output from the communication unit 220 (beacon terminal) installed in a predetermined space, and is provided in the arithmetic processing device 100. Here, the "predetermined space" is a space where radio waves output from the communication unit 220 toward a target space reach, and includes at least the target space, and is a space where the strongest radio waves output from the communication unit 220 reach, and preferably a space where the weakest radio waves output from the communication unit 220 reach. Therefore, the target space does not include a space where radio waves from the communication unit 220 do not reach. And, the beacon terminal 220 may be installed both inside and outside the target space.

[0020] The notification unit 180 (notification means) is used to make a predetermined notification based on the judgment result of the judgment unit 130, and corresponds to a display device or speaker installed in the station, or a mobile terminal 232 or dedicated terminal 234 carried by the white cane user M or wheelchair user W.

[0021] In addition to the above, this system is equipped with a display unit 185 that displays captured images and information necessary for processing, a memory unit 190 that stores programs and specified data necessary for processing, and input devices such as a keyboard and a pointing device (not shown).

[0022] Figure 5 shows the flow of processing performed by this system. The system includes an image acquisition process, a special passerby identification process, and a determination process. It may also include a notification process, a passerby density calculation process, and an object determination process.

[0023] Step S100 is an image acquisition process, which is a process for acquiring a space image, which is an image obtained by capturing a target space including passersby.

[0024] Step S200 is a special passerby identification process that analyzes the spatial image acquired in the image acquisition process in step S100 and identifies special passersby with special characteristics. In this embodiment, a trained model created by machine learning is used to identify a person using a white cane M or a person using a wheelchair W. In the case of white cane user M, as shown in FIG. 2(a), a characteristic is that the passerby is holding a white cane 30. When white cane user M walks, the tip of the white cane 30 touches the ground (floor) two steps ahead of the white cane user M, within a range of about shoulder width from the user's body. Therefore, training data learned based on images of such white cane user M is stored in the memory unit 190. Furthermore, as shown in FIG. 2(b), when walking with a supporter or when the white cane user M is not walking, the white cane 30 is held approximately vertically in a position close to the user, so it is preferable that the images used for training include such images of the white cane user M. Then, in the special passerby identification process, the acquired spatial images are analyzed and a process is performed to identify the white cane user M based on this training data. In the case of a wheelchair user W, as shown in Fig. 3, a characteristic of the case is that the passerby is riding in a wheelchair 40. Because there are various types of wheelchairs 40, training data learned based on images of passersby riding in various types of wheelchairs is stored in the storage unit 190, and in the special passerby identification process, the acquired spatial image is analyzed and the wheelchair user W is identified based on this training data. When identifying passersby (people) from captured images using machine learning, training data is often used to identify the head (face) and then identify the passerby. However, in cases such as this embodiment, where the passerby is characterized by carrying a white cane 30 or riding in a wheelchair 40, the characteristic parts are located lower than the head (face), so it is preferable to capture the spatial image to be analyzed so that it contains these characteristic parts.

[0025] Step S300 is a determination process in which it is determined whether or not a special passerby is present in the target space based on the identification result of the special passerby identification process in step S200 and the detection result of the communication unit 220. Here, the "identification result" of the special passerby identification means and the "detection result" of the communication means used in the determination process will be explained. "Identification result" is information indicating whether a special passerby has been identified in the target space by the special passer identification means, and identifying even one special passerby in the target space is considered to be a result indicating the presence of a special passerby. In other words, it is sufficient to at least indicate whether a special passerby exists in the target space, and it does not have to include how many special passers are present, but the presence of a special passerby can be indicated by indicating the number of people present. The "detection result" is information indicating whether a communication means detects the presence of a pedestrian communication means in the target space. The detection of even one pedestrian communication means in the target space is considered to be a result indicating the presence of a pedestrian communication means. Here, "detecting the presence of a pedestrian communication means in the target space" refers to the case where the pedestrian communication means receives radio waves from the beacon terminal 220 that are transmitted to include the target space, and then receives a signal from the pedestrian communication means based on the reception. Strictly speaking, even if the pedestrian communication means is outside the target space, if the pedestrian communication means receives a signal from the beacon terminal 220 and then receives a signal based on the reception, the result is considered to be a detection that detects the presence of a pedestrian communication means in the target space. However, even in such a case, the result is considered to be "detecting the presence of a pedestrian communication means in the target space." Furthermore, it is sufficient to indicate at least whether a pedestrian communication means is present in the target space, and it is not necessary to include the number of pedestrian communication means present. However, the presence of a pedestrian communication means may be indicated by information indicating the number of pedestrian communication means present. As mentioned above, the "communication result with the pedestrian communication means" is the result of sending and receiving a specified signal between the communication means and the pedestrian communication means, i.e., whether the communication means received a specified signal from the pedestrian communication means, or whether the pedestrian communication means responded to a specified signal from the communication means. One aspect of the communication result is whether the pedestrian communication means received radio waves output from the beacon terminal 220 to include the target space, and whether the communication means received a signal from the pedestrian communication means based on the reception. "Determining whether or not the special passerby is present in the target space based on the identification results of the special passerby identification means that determines whether or not the special passerby is present and the detection results of the communication means" means determining whether or not the special passerby is present in the target space using both the "identification results" and the "detection results." The reliability of the determination results varies depending on the content of the identification results and the content of the detection results, but by using both the identification results and the detection results, it is possible to prevent special passersby from being overlooked.

[0026] <Embodiment 1: When the Passerby Communication Unit 230 is a Mobile Terminal 232> FIG. 6 shows an image of the communication relationship between the communication unit 220 and the passerby communication unit 230 in this embodiment. As shown in FIG. 6, a beacon terminal 220, which is the communication unit 220, is installed in a predetermined space including the target space. The area surrounded by a dotted line in FIG. 6 is the range within which the Bluetooth signal transmitted from the beacon terminal 220 can reach. Furthermore, the white cane user M and the wheelchair user W carry a passerby communication unit 230 (not shown in FIG. 6). In the first embodiment, the passerby communication unit 230 is a mobile terminal 232 such as a smartphone carried by the white cane user M and the wheelchair user W, and the mobile terminal 232 is assumed to have an application for this system stored therein. By registering as a special passerby in advance using the application for this system, it becomes possible to receive a predetermined signal from the beacon terminal 220 when a predetermined condition is met. In this embodiment, a beacon is used for wireless communication, and Bluetooth signal communication is established between the beacon terminal 220 and the passerby communication unit 230 when the distance between the beacon terminal 220 and the passerby communication unit 230 is approximately 30 to 100 meters. This "signal communication of a Bluetooth signal is established" means that "a predetermined condition is established." The beacon terminal 220 always transmits a predetermined Bluetooth signal, and as shown in Fig. 6, when a white cane user M or a wheelchair user W carrying a passerby communication unit 230 that has stored an application for this system and registered as a special passerby comes into existence within a range of about 30 to 100 m from the beacon terminal 220, the passerby communication unit 230 receives the predetermined Bluetooth signal and transmits a Bluetooth signal indicating the reception to the beacon terminal 220. Then, while the passerby communication unit 230 is present within a range of about 30 to 100 m from the beacon terminal 220, it receives the predetermined Bluetooth signal from the beacon terminal 220 at predetermined intervals and transmits a Bluetooth signal indicating the reception to the beacon terminal 220. In the case of Figure 6, since the white cane user M1 is within the dotted line enclosure, he can receive the Bluetooth signal from the beacon terminal 220 and therefore transmits a Bluetooth signal to the beacon terminal 220, but since the white cane user M2 is outside the dotted line enclosure, he cannot receive the Bluetooth signal from the beacon terminal 220 and therefore does not transmit a Bluetooth signal to the beacon terminal 220.

[0027] <Embodiment 2: When the Passenger Communication Unit 230 is a Dedicated Terminal 234> FIG. 7 shows an image of the communication relationship between the communication unit 220 and the passerby communication unit 230 in this embodiment. While the first embodiment uses a portable terminal 232 carried by the white cane user M and the wheelchair user W, the second embodiment differs in that the passerby communication unit 230 is a dedicated terminal 234 (not shown in FIG. 7) carried by the white cane user M and the wheelchair user W. The dedicated terminal 234 is a terminal capable of transmitting a predetermined Bluetooth signal. The white cane user M and the wheelchair user W may carry the dedicated terminal 234 directly, or the dedicated terminal 234 may be fixed to or embedded in the white cane 30 or wheelchair 40 in advance. Embedding the dedicated terminal 234 prevents the passerby communication unit 230 from being forgotten when going out. As described above, this embodiment uses a beacon for wireless communication, and Bluetooth signal communication is established between the beacon terminal 220 and the passerby communication unit 230 when the distance between the beacon terminal 220 and the passerby communication unit 230 is approximately 30 to 100 meters. The dedicated terminal 234 constantly transmits a predetermined Bluetooth signal at predetermined intervals indicating that it is the dedicated terminal 234, and when the distance to the beacon terminal 220 is about 30 to 100 m, the beacon terminal 220 detects the dedicated terminal 234 by receiving the predetermined Bluetooth signal indicating that it is the dedicated terminal 234. In the case of Figure 7, since the white cane user M1 is inside the dotted line enclosure, the beacon terminal 220 can receive the Bluetooth signal from the dedicated terminal 234 carried by the white cane user M1, but since the white cane user M2 is outside the dotted line enclosure, the beacon terminal 220 cannot receive the Bluetooth signal from the dedicated terminal 234 carried by the white cane user M2. Note that, as will be described in detail later, it is preferable that the dedicated terminal 234 be able to receive a predetermined control signal from the beacon terminal 220.

[0028] The determination process is a process for determining whether or not a special passerby is present in the target space based on the identification results of the special passerby identification process and the detection results of the communication unit 220, so there are multiple determination patterns depending on the combination of the identification results and the detection results. Figure 8 shows the determination patterns of the determination process. Note that Figure 8 illustrates the case where the special passerby is a white cane user M. The passerby communication unit 230 may be either the mobile terminal 232 or the dedicated terminal 234. As shown in Figure 8, the determination patterns are: (1) the presence of a person using a white cane M is identified by the special pedestrian identification means (machine learning), and (2) the communication unit 220 detects that a person using a white cane 230 is present (Case 1); (1) the presence of a person using a white cane M is identified by the special pedestrian identification means (machine learning), and (2) the communication unit 220 detects that a person using a white cane 230 is not present (Case 2); (1) the presence of a person using a white cane M is not identified by the special pedestrian identification means (machine learning), and (2) the communication unit 220 detects that a person using a white cane 230 is present (Case 3); and (1) the presence of a person using a white cane M is not identified by the special pedestrian identification means (machine learning), and (2) the communication unit 220 detects that a person using a white cane 230 is not present (Case 4). In case 1, both (1) and (2) result in the presence of a person using a white cane, M, so it is determined that a person using a white cane, M, is present. In addition, because both (1) and (2) result in the presence of a person using a white cane, the possibility of a false detection is low, and it can be reliably determined that a person using a white cane, M, is present. In case 2, (1) indicates that a person using a white cane, M, is present, so it is determined that a person using a white cane, M, is present. In addition, (2) indicates that a person using a white cane, M, is not present, so it can be determined that a person using a white cane, M, does not have the pedestrian communication unit 230, or that a person using a white cane, M, may be present in an area where the Bluetooth signal cannot reach. In case 3, (2) is a detection result indicating the presence of a person using a white cane, M, so it is determined that the person using a white cane, M, is present. However, since the person using a white cane, M, is not identified in (1), it can be determined that there is a possibility that the person using a white cane, M's distinctive features, were not captured due to overlapping pedestrians, for example, and therefore could not be identified. In case 4, both (1) and (2) result in the absence of a person using a white cane, so it is determined that person M using a white cane is not present. If a judgment is made based on the results of one type of method, as in conventional technology, there is a possibility that the person using a white cane M will be overlooked in cases 2 and 3. However, by judging the person using a white cane M based on the results of two types of methods (1) and (2), it is possible to prevent the person using a white cane M from being overlooked.

[0029] Next, the radio wave intensity when the beacon terminal 220 transmits a Bluetooth signal will be described. The beacon terminal 220 used in this embodiment can change the radio wave intensity when transmitting a signal from the beacon terminal 220. The Bluetooth signal transmitted from the beacon terminal 220 is affected by hardware performance such as the transmission output from the beacon terminal 220, the antenna gain, and the sensitivity of the passerby communication unit 230, and the receivable distance changes due to the influence of reflection, absorption, and diffraction by the surrounding environment (building materials, human bodies, etc.). In this embodiment, the target space is the inside of a station, so the environment in which special passersby exist differs between crowded times and other times, as shown in Figures 1(a) and 1(b). Therefore, in this embodiment, a beacon control unit 170 is provided that controls the radio wave intensity when transmitting a Bluetooth signal from the beacon terminal 220 depending on the environment in which special passersby exist. The beacon control unit 170 controls the intensity of the radio waves output from the communication unit 220 (beacon terminal) installed in a predetermined space based on the state of the target space and the determination result of the determination process. Each case will be explained below.

[0030] <Control of beacon terminals based on the density of passersby in the target space> A case will be described in which the pedestrian density calculation unit 150 analyzes the acquired space image, calculates an index value relating to the pedestrian density in the target space, and controls the radio wave intensity based on the index value. As mentioned above, there are various methods for calculating the index value relating to the density of pedestrians, but in this embodiment, the number of pedestrians present in the acquired spatial image is identified based on teacher data that has previously learned about pedestrians from the acquired spatial image, and the number of pedestrians per predetermined area is calculated as the "index value relating to the density of pedestrians" based on the number of pedestrians and the floor area of ​​the target space. Also, the beacon terminal 220 is assumed to have output radio wave strength set to three levels (maximum output, standard output, minimum output), for example. Then, when the index value relating to the density of pedestrians is set to a predetermined value, for example, 1 person / m 2 In the above cases, the beacon control unit 170 transmits a control signal to transmit a signal at maximum output to the beacon terminal 220. In addition, if the index value regarding the passerby density is a predetermined value, for example, 0.2 people / m 2 In the following cases, the beacon control unit 170 transmits a control signal to the beacon terminal 220 to transmit a signal at standard output. 2 In the following cases, the beacon control unit 170 transmits a control signal to the beacon terminal 220 to transmit a signal at the minimum output. Also, each time a spatial image is acquired, it is determined whether the index value related to the pedestrian density corresponds to the above threshold, and if there is a change, a control signal for controlling the radio wave intensity when transmitting a Bluetooth signal may be transmitted. However, for example, if the index value related to the pedestrian density corresponds to the above threshold for a predetermined period (a predetermined number of consecutive times), a control signal for controlling the radio wave intensity when transmitting a Bluetooth signal may be transmitted. By doing so, it is possible to avoid changing the radio wave intensity when the index value related to the pedestrian density happens to be high / low. By doing this, it is possible to prevent the passerby communication unit 230 from missing detection of a person using a white cane M or a person in a wheelchair W due to difficulty in receiving Bluetooth signals caused by a large number of people in the target space.

[0031] <Control of beacon terminals based on the judgment results of the judgment process> A case will be described in which the beacon control unit 170 transmits a control signal for controlling the radio wave intensity when transmitting a Bluetooth signal to the beacon terminal 220 depending on the result of the determination process. In cases 1, 3, and 4 of FIG. 8, the current radio wave intensity is presumed to be appropriate, so the beacon control unit 170 does not transmit a control signal to the beacon terminal 220 to change the radio wave intensity when transmitting a Bluetooth signal. On the other hand, in case 2 (when the special passerby identification unit 120 identifies a special passerby and the communication unit 220 does not detect the passerby communication unit 230), the communication unit 220 cannot detect the passerby communication unit 230 because the current radio wave intensity may not be appropriate due to the influence of the surrounding environment, etc., so the beacon control unit 170 transmits a control signal to the beacon terminal 220 to increase the radio wave intensity when transmitting a Bluetooth signal. This makes it possible to prevent missed detections between the communication unit 220 and the passerby communication unit 230. Furthermore, it may be determined whether to change the radio wave intensity based on the determination result each time the determination process is performed. Alternatively, it may be determined whether to change the radio wave intensity when the same pattern occurs for a predetermined period (a predetermined number of times in a row), for example. By doing so, it is possible to avoid changing the radio wave intensity in the case where the communication unit 220 happens to be unable to detect the passerby communication unit 230.

[0032] Next, a process of controlling notification by the notification unit 180 using the notification control unit 140 based on the result of the determination process will be described. As described above, the notification unit 180 is a display device provided in the station, an audio output device (speaker) provided in the station, the portable terminal 232 carried by the special passerby, the dedicated terminal 234, or the like. 9 shows cases of the results of the determination process shown in Fig. 8 and notification patterns for each type of notification unit 180. Note that in this embodiment, notification content is for the case where the special passer is a white cane user M. In Case 1, it is determined that the white cane user M is definitely present, and the mobile device 232 or dedicated device 234 carried by the white cane user M is detected by the communication unit 220. Therefore, predetermined information is output to the mobile device 232 or dedicated device 234 carried by the white cane user M ("Notification 2-1" in FIG. 9). "Predetermined information" refers to information needed by the white cane user M, particularly information needed by the white cane user M in the target space or spaces related to the target space. In this embodiment, since the target space is a station platform, the information includes station platform information (destination, train delay information, congestion status, etc.) and information about other platforms and information about the station premises as spaces related to the station platform. Information about unusual conditions, such as cleaning information and maintenance information for the station platform and station premises, may also be included. Furthermore, in case 1, since the white cane user M has been identified by the special passerby identification unit 120, a predetermined notification ("Notification 1-1" in FIG. 9) is also made to passersby other than the white cane user M (sometimes referred to as "non-special passersby") using display devices and speakers within the station. In case 1, since it has been determined that the white cane user M is definitely present, notifications such as "Please do not place objects on the tactile paving blocks" and "Please refrain from using your smartphone while walking" are made to non-special passersby, allowing the white cane user M to pass safely. In case 2, it is determined that the white cane user M has forgotten to carry the mobile device 232 or dedicated device 234, or that the communication unit 220 is unable to detect the mobile device 232 or dedicated device 234 (white cane user M is outside the communication area of ​​the communication unit 220), so it is not sufficient to simply notify the white cane user M via the mobile device 232 or dedicated device 234. Therefore, in addition to notifying the white cane user M via the mobile device 232 or dedicated device 234 carried by the white cane user M ("Notification 2-1" in FIG. 9), a predetermined notification is also made to the white cane user M using a display device and station speakers within the station ("Notification 2-2" in FIG. 9). In this embodiment, the special passerby is the white cane user M, so notifying using the station speakers is important. Unlike notifications for non-special passersby ("Notification 1-1" in FIG. 9), this notification provides information that may not be necessary for non-special passersby but is necessary for the white cane user M, such as the type of location (which platform is the destination for), the state of the current location (is it crowded), and how many minutes until the next train arrives. Also, in case 2, it is determined that the white cane user M is present, so a predetermined notification ("Notification 1-1" in FIG. 9) is made to passersby other than the white cane user M using the display device and speakers within the station. The content of notification 1-1 is the same as in case 1, so a description will be omitted. In Case 3, machine learning was unable to identify the white cane user M (based on the captured image), but the communication unit 220 detected the mobile device 232 or dedicated device 234 and identified the presence of the white cane user M. Therefore, predetermined information is output to the mobile device 232 or dedicated device 234 carried by the white cane user M ("Notification 2-1" in FIG. 9). Furthermore, in Case 3, the presence of the white cane user M is determined, so a predetermined notification ("Notification 1-2" in FIG. 9) is issued to passersby other than the white cane user M using the display device and speakers within the station. In Case 3, due to the congestion of the target space, there is a risk that the distinctive features of the white cane user M are not included in the spatial image. In other words, since non-special passersby may not be aware of the presence of the white cane user M, Notification 1-2 not only provides the notification mode of Notification 1-1, but also provides a notification suggesting the presence of the white cane user M, such as "If you see someone needing assistance, please speak up." In case 4, the presence of the white cane user M is not confirmed, so no notification is made in accordance with the judgment result. In this way, the notification unit 180 is controlled to notify in accordance with the result of the determination process, so that it is possible to provide an accurate notification without waste.

[0033] Next, the processing of the object determination unit 160 will be described. The object determination unit 160 (object determination means) analyzes the acquired space image and performs processing to determine whether the same object has been present at a specific position in the target space for a predetermined period of time or more. Using a spatial image of a moving image or a plurality of still images, it is determined whether the same object is present at a specific position in the target space for a predetermined period of time or more. The term "identical object" refers to portable objects such as bags and suitcases, such as station users' luggage or vendors' luggage, and does not include fixed objects installed in the target space, such as chairs, pillars, and vending machines, or movable objects installed in the target space, such as elevators and escalators. Here, a method for determining whether identical objects exist is described. For objects whose shapes are previously assumed to be identical, such as suitcases, training data learned from images of various suitcases can be stored in the storage unit 190, and the acquired spatial images can be analyzed and determined. However, it is difficult to determine whether an unexpected object has been present in a specific position for a predetermined period of time or longer. Therefore, an image of a specific position at a predetermined time (e.g., the opening of business) may be captured (referred to as a "baseline image"), and if an object that was not captured in the base image and was determined to have been continuously captured within a predetermined positional error range for a predetermined period of time or longer since the object was captured in the specific position, it may be determined that the identical object has been present in the specific position for a predetermined period of time or longer. In this embodiment, the object is a suitcase. Training data learned from images of various suitcases is stored in the storage unit 190, and the acquired spatial image is analyzed based on the training data. The system then determines whether the identified object has been in the same position for a predetermined period of time, for example, two minutes or more. Note that the term "same position" includes a predetermined positional error. If the object is determined to be in the same position, the notification unit 180, the mobile terminal 232, or the dedicated terminal 234 issues a predetermined notification based on a control signal from the notification control unit 140, since there is a risk of the object interfering with the passage of a person using a white cane M or a person using a wheelchair W. Notification modes include "Do not place a suitcase in a specific location (braille block)" and "Please proceed with caution as there is a suitcase in a specific location (braille block)," and can be used to provide notifications to both non-specialized passers and special passers. This notification may be performed when the determination process determines that the white cane user M is present (cases 1 to 3 shown in FIG. 8) and the object determination unit 160 determines that the same object has been present at a specific position in the target space for a predetermined period of time or longer. Also, when the determination process does not determine that the white cane user M is present (case 4 shown in FIG. 8), the notification unit 180 may not issue a notification even if the object determination unit 160 determines that the same object has been present at a specific position in the target space for a predetermined period of time or longer. In this way, when the white cane user M is not present in the target space, control can be made so that a notification is not issued even if a determination is made that an object is present.

[0034] <Modification> The present invention is not limited to the above-described embodiment, and various modifications and improvements are possible.

[0035] In the above-described embodiment, the strength of the radio waves transmitted from the beacon terminal 220 was changed according to the index value related to the density of passersby, but this is not limited to this. For example, if the index value related to the density of passersby is equal to or greater than a predetermined value and the determination process determines that a user M using a white cane is present (cases 1 to 3 in FIG. 8), it is possible that non-special passersby are unaware of the presence of the user M using a white cane, despite the presence of the user M using a white cane. Therefore, it is preferable that notification 1-2, in addition to the notification mode of notification 1-1, also provide a notification suggesting the presence of the user M using a white cane, such as "If you see anyone needing support, please speak up."

[0036] In this embodiment, predetermined information is notified to non-private pedestrians and special pedestrians based on the determination results of the determination process, but this is not limited to this. The predetermined information may also be output to a mobile terminal carried by a station staff member. In this way, for example, the station staff member can recognize that the object determination unit 160 has determined that an object is present, and can take measures to ensure the safe passage of the white cane user M.

[0037] In the above-described embodiment, the special passers-by are defined as people using white canes M or people in wheelchairs W, but this is not limited to this. For example, special passers-by can be determined if they have special appearance characteristics, such as people with guide dogs or people pushing strollers.

[0038] In the above-described embodiment, Bluetooth is used as the wireless communication standard, but other standards may also be used.

[0039] In the above-described embodiment, as a result of communication with the passerby communication means, the passerby communication means receives radio waves output from the beacon terminal 220 to include the target space, and the communication means receives a signal based on the reception from the passerby communication means. However, this is not limited to this. The beacon terminal 220 can measure the distance between the beacon terminal 220 and the mobile terminal 232 based on the strength of the radio waves when the mobile terminal 232 receives the radio waves from the beacon terminal 220. Therefore, a predetermined distance range from the beacon terminal 220 may be set as the target space, and the mobile terminal 232 may measure the distance to the beacon terminal 220 based on the strength of the radio waves received from the beacon terminal 220, and detect whether the mobile terminal 232 is present in the target space based on the measurement result. In this way, it is possible to set the range of the target space according to operation, and also to prevent a mobile terminal 232 present outside the target space from being detected as present in the target space. In addition, taking into consideration the environment of the target space, it is preferable to set a range that is a predetermined distance larger or smaller (the distance between the beacon terminal 220 and the mobile terminal 232 is longer or shorter) than the range of the target space to be observed (the distance between the beacon terminal 220 and the mobile terminal 232) as the target space. Also, the setting of the target space may be changed to a range that is a predetermined distance larger or smaller than the range of the target space to be observed according to the index value related to the passerby density in the target space described above. In this modified example, whether or not the distance measured from the strength of the radio waves received by the mobile terminal 232 is within the range of the target space (or the range set as the target space) corresponds to the "communication result with passerby communication means."

[0040] In this embodiment, when identifying a passerby or special passerby from a captured image using machine learning, the head (face) is identified using training data. In addition to this, after identifying the head, a process may be performed to identify the foot position of the passerby (person) and calculate the coordinates of the foot position. Fig. 10 is a conceptual diagram showing the relationship between the head and foot positions of a passerby (person). Fig. 11 is a diagram explaining the correction process performed when determining the foot coordinates of a passerby (person). In the case of Fig. 11, the image capture device 210 is installed in a high position on a ceiling, wall, pillar, or the like near a line connecting feature points F1 and F2 (described later). As shown in FIG. 10, the area analyzed as the head when identifying the head of a passerby (person) is designated as area 201. Area 201 for identifying the head of a passerby (person) is determined taking into consideration the average height of an adult. Furthermore, as shown in FIG. 11, a passerby (person) farther from image capture device 210 appears smaller than a passerby (person) closer to image capture device 210, so area 201 for identifying the head is determined taking into consideration the position from image capture device 210. Then, if the head is identified in area 201 for identifying the head, a virtual line 202 is drawn perpendicularly from area 201 toward the bottom, and the position where it intersects with the bottom is identified as foot position 203 of the passerby (person). In this manner, the head and foot positions of the passerby (person) are identified. Next, the coordinates of the foot positions are calculated from the identified foot positions. The method for calculating the coordinates of the foot positions will be described with reference to FIG. In this embodiment, the range captured by the imaging device 210 is fixed. For the sake of explanation, in FIG. 11 , the floor is assumed to be composed of square tiles. Here, predetermined feature points, for example, F1 to F4 shown in FIG. 11 , are set within the spatial image. In FIG. 11 , the four corners of the floor of the target space are set as feature points, and the feature points are designated by attaching circle-shaped stickers or the like. However, the feature points do not have to be located on the floor, but may be located at a predetermined height above the floor, such as on a wall or pillar. The coordinates of the feature points are stored in advance, and the coordinates of the foot position of the passerby (person) are calculated based on the relative positional relationship between the coordinates of the feature points and the foot position 203 of the passerby (person). While the passerby (person) shown in FIGS. 10 and 11 does not carry a white cane, the same applies to a special passerby carrying a white cane. Also, although the passersby (people) shown in Figures 10 and 11 are not in wheelchairs, the same applies to special passersby in wheelchairs; a virtual line 202 is lowered perpendicularly from the area 201 that identifies the head of the special passerby in a wheelchair toward the bottom surface, and the position where it intersects with the bottom surface is identified as the position of the feet of the special passerby in a wheelchair. By calculating the coordinates of the foot position in this way, it is possible to calculate the foot position coordinates of a passerby (person) present in the spatial image captured by the imaging device 210. In this way, it is possible to determine the coordinates of the target space in advance, and if the foot position coordinates of a special passerby are present within those coordinates (if the foot position coordinates of a passerby (person) are present and the passerby (person) is carrying a white cane), it is possible to determine that a special passerby is present.

[0041] The above embodiment encompasses the following technical ideas. (1) A special passerby discrimination system comprising: an image acquisition means for acquiring a spatial image, which is an image of a target space including passersby; a special passerby identification means for analyzing the spatial image acquired by the image acquisition means and identifying special passersby with special characteristics among the passersby; a passerby communication means held by the special passerby; a communication means for wirelessly communicating with the passerby communication means and detecting the presence of the passerby communication means in the target space based on the communication results with the passerby communication means; and a determination means for determining whether the special passerby is present in the target space based on the identification results of the special passerby identification means and the detection results of the communication means. (2) The special pedestrian discrimination system described in (1), characterized in that the special pedestrian is a person using a white cane or a person in a wheelchair. (3) A special pedestrian discrimination system as described in (1) or (2), further comprising an alarm control means, wherein when the communication means detects the pedestrian communication means, the alarm control means transmits a control signal for the pedestrian communication means to output specified information, and the pedestrian communication means outputs the specified information based on the control signal from the alarm control means. (4) A special passerby discrimination system as described in (1) or (2), further comprising an alarm means provided in a specified space and an alarm control means for controlling the alarm means, wherein when the special passerby is identified by the special passerby identification means, the alarm control means transmits a control signal for the alarm means to output specified information, and the alarm means outputs the specified information based on the control signal from the alarm control means. (5) The communication means is a beacon terminal installed in a specified space including the target space, the passerby communication means is a mobile terminal held by the special passerby who has previously registered as the special passerby, and the system further includes a beacon control means for controlling the beacon terminal, and when the special passerby is identified by the special passerby identification means and the passerby communication means is not detected by the communication means, the beacon control means changes the radio wave intensity of the beacon signal output from the beacon terminal, as described in (1) or (2). (6) The communication means is a beacon terminal installed in a specified space including the target space, the passerby communication means is a mobile terminal carried by the special passerby who has previously registered as the special passerby, and the special passerby discrimination system described in (1) or (2) further comprises a passerby density calculation means that analyzes the spatial image acquired by the image acquisition means and calculates an index value related to the passerby density in the target space, and a beacon control means that controls the beacon terminal, and when the index value calculated by the passerby density calculation means is equal to or greater than a specified value, the beacon control means changes the radio wave strength of the beacon signal output from the beacon terminal. (7) The special passerby discrimination system described in claim 6 further comprises an alarm means provided in a specified space and an alarm control means for controlling the alarm means, and when the determination means determines that the special passerby is present in the target space and when the index value calculated by the passerby density calculation means is equal to or greater than a specified value, the alarm control means transmits a control signal for the alarm means to output specified information, and the alarm means outputs the specified information based on the control signal from the alarm control means. (8) The spatial image is a moving image or a plurality of still images, the communication means is a beacon terminal installed in a predetermined space including the target space, the passerby communication means is a mobile terminal carried by the special passerby who has previously registered as the special passerby, and further comprises a notification means installed in the predetermined space, a notification control means for controlling notifications of the notification means and the passerby communication means, and an object determination means for analyzing the spatial image acquired by the image acquisition means and determining whether or not an identical object has been present at a specific position in the target space for a predetermined period of time or more, The special passerby discrimination system described in (1) or (2) is characterized in that, when the stage determines that the special passerby is present in the target space and when the object determination means determines that the same object is present, the notification control means transmits a control signal to cause the notification means and the passerby communication means to output information about the same object, the notification means outputs information about the same object based on the control signal from the notification control means, and the passerby communication means outputs information about the same object based on the control signal from the notification control means. [Explanation of symbols]

[0042] 10 Elevator 20 Braille blocks 30 White cane 40 Wheelchair 100 Processing unit 110 Image acquisition unit 120 Special Passer Identification Department 130 Judgment section 140 Notification control unit 150 Passerby density calculation section 160 Object determination section 170 Beacon control unit 180 Information Department 185 Display section 190 Storage section 200 Special Passenger Identification System 210 Imaging device 220 Communication Unit (Beacon Terminal) 230 Passenger Communications Department 232 Mobile Devices 234 Dedicated Terminal 300 Imaging device M: White cane user M1 White Cane User M2 White Cane W Wheelchair passenger

Claims

1. an image acquisition means for acquiring a spatial image, which is an image of a target space including passersby; a special passerby identification means for analyzing the spatial image acquired by the image acquisition means and identifying a special passerby having a special characteristic among the passersby; Passenger communication means held by the special passer; a communication means for wirelessly communicating with the pedestrian communication means and detecting the presence of the pedestrian communication means in the target space based on a result of communication with the pedestrian communication means; A special passerby discrimination system comprising a determination means for determining whether or not the special passerby is present in the target space based on the identification result of the special passerby identification means and the detection result of the communication means.

2. 2. The system for identifying special pedestrians according to claim 1, wherein the special pedestrian is a person using a white cane or a person in a wheelchair.

3. further comprising a notification control means; When the communication means detects the pedestrian communication means, the notification control means transmits a control signal for the pedestrian communication means to output predetermined information, 3. The special passerby discrimination system according to claim 1, wherein the passerby communication means outputs the predetermined information based on a control signal from the notification control means.

4. a notification means provided in a predetermined space; and a notification control means for controlling the notification means, When the special passerby is identified by the special passerby identification means, the notification control means transmits a control signal for causing the notification means to output predetermined information, 3. The special passerby discrimination system according to claim 1, wherein the notification means outputs the predetermined information based on a control signal from the notification control means.

5. the communication means is a beacon terminal installed in a predetermined space including the target space, the passer-by communication means is a mobile terminal held by the special passer-by who has registered in advance as the special passer-by, Further, a beacon control means for controlling the beacon terminal is provided, A special passerby discrimination system as described in claim 1 or 2, characterized in that when the special passerby is identified by the special passerby identification means and the passerby communication means is not detected by the communication means, the beacon control means changes the radio wave strength of the beacon signal output from the beacon terminal.

6. the communication means is a beacon terminal installed in a predetermined space including the target space, the passer-by communication means is a mobile terminal held by the special passer-by who has registered in advance as the special passer-by, a pedestrian density calculation means for analyzing the spatial image acquired by the image acquisition means and calculating an index value relating to the pedestrian density in the target space; Further, a beacon control means for controlling the beacon terminal is provided, The special pedestrian discrimination system described in claim 1 or 2, characterized in that when the index value calculated by the pedestrian density calculation means is greater than or equal to a predetermined value, the beacon control means changes the radio wave strength of the beacon signal output from the beacon terminal.

7. a notification means provided in a predetermined space; and a notification control means for controlling the notification means, When the determination means determines that the special passerby is present in the target space, and when the index value calculated by the passerby density calculation means is equal to or greater than a predetermined value, the notification control means transmits a control signal for causing the notification means to output predetermined information; 7. The special passerby discrimination system according to claim 6, wherein the notification means outputs the predetermined information based on a control signal from the notification control means.

8. the spatial image is a moving image or a plurality of still images, the communication means is a beacon terminal installed in a predetermined space including the target space, the passer-by communication means is a mobile terminal held by the special passer-by who has registered in advance as the special passer-by, a notification means provided in the predetermined space; a notification control means for controlling notification by the notification means and the pedestrian communication means; and an object determination means for analyzing the spatial image acquired by the image acquisition means and determining whether or not an identical object has been present at a specific position in the target space for a predetermined period of time or more. When the determination means determines that the special passerby is present in the target space, and when the object determination means determines that the identical object is present, the notification control means transmits a control signal to cause the notification means and the passerby communication means to output information regarding the identical object; the notification means outputs information about the same object based on a control signal from the notification control means; 3. The special passerby discrimination system according to claim 1, wherein the passerby communication means outputs information about the same object based on a control signal from the notification control means.

Images