WO2022201793A1 - 情報処理装置、情報処理システム、情報処理方法およびコンピュータ可読媒体 - Google Patents
情報処理装置、情報処理システム、情報処理方法およびコンピュータ可読媒体 Download PDFInfo
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Definitions
- the present invention relates to an information processing device, an information processing system, an information processing method, and a program.
- Patent Document 1 describes a congestion information notification system having an image processing unit and an information transmission unit.
- the image processing unit performs privacy protection processing while moving circular lines indicating the outer edges of individual circular areas within a predetermined distance from individual persons in the actual distance in the monitored area according to the movements of individual persons. Overlaid on the image.
- the information transmission unit transmits, as congestion information, a privacy protection processed image in which the loop line is superimposed and displayed.
- the present disclosure has been made in view of such problems, and aims to provide an information processing apparatus and the like that suitably determines whether or not the congestion state of a space is appropriate.
- An information processing apparatus has an image data acquisition unit, a measurement unit, a spatial data setting unit, a determination unit, and an output unit.
- the image data acquisition unit acquires image data of a predetermined space captured by the camera.
- the measurement unit generates measurement data including distances between persons included in the image data.
- the spatial data setting unit sets spatial data regarding the size of the space.
- the determination unit determines whether or not the crowd of people in the space is appropriate based on the measurement data and the space data.
- the output unit outputs information about the determination result of the determination unit.
- a computer executes the following method.
- the computer acquires image data of a predetermined space captured by the camera.
- the computer generates measurement data including interpersonal distances of the persons included in the image data.
- the computer establishes spatial data regarding the size of the space. Based on the measurement data and the space data, the computer determines whether or not the crowd of people in the space is appropriate.
- the computer outputs information regarding the results of the determination.
- a program causes a computer to execute the following steps.
- the computer acquires image data of a predetermined space captured by the camera.
- the computer generates measurement data including interpersonal distances of the persons included in the image data.
- the computer establishes spatial data regarding the size of the space. Based on the measurement data and the space data, the computer determines whether or not the crowd of people in the space is appropriate.
- the computer outputs information regarding the results of the determination.
- an information processing device or the like that suitably determines whether the congestion state of a space is appropriate.
- FIG. 4 is a flow chart showing an information processing method according to the first embodiment
- 2 is a block diagram of an information processing system according to a second embodiment
- FIG. 2 is a block diagram of an information management device according to a second embodiment
- FIG. 2 is a block diagram of an information processing device according to a second embodiment
- FIG. 9 is a flowchart of an information processing device according to a second embodiment
- FIG. 4 is a first diagram showing an example of the relationship between space and congestion. It is a second diagram showing an example of the relationship between space and congestion. It is a third diagram showing an example of the relationship between space and congestion.
- FIG. 4 is a diagram showing an example of measurement data generated by a measurement unit; FIG.
- FIG. 11 is a block diagram of an information processing system according to a third embodiment
- FIG. 10 is a block diagram of an information processing device according to a third embodiment
- FIG. 10 is a flow chart of an information processing apparatus according to a third embodiment
- It is a block diagram which illustrates the hardware constitutions of a computer.
- FIG. 1 is a block diagram of an information processing apparatus according to a first embodiment;
- An information processing apparatus 10 shown in FIG. 1 is communicably connected to a camera set to photograph a predetermined space, and receives image data relating to an image photographed by the camera.
- the information processing device 10 is communicably connected to a predetermined information management device. Based on the image data received from the camera, the information processing device 10 determines whether or not the crowd of people in this space is appropriate, and outputs information regarding this determination to the information management device.
- An information processing apparatus 10 according to an embodiment of the present disclosure has an image data acquisition unit 111, a measurement unit 112, a spatial data setting unit 113, a determination unit 114, and an output unit 115 as main configurations.
- the image data acquisition unit 111 serves as an interface for acquiring image data generated by the above-described camera capturing an image of a predetermined space. That is, the image data acquisition unit 111 acquires image data of a predetermined space captured by the camera. The image data acquisition unit 111 provides the acquired image data to the measurement unit 112 .
- the measurement unit 112 receives image data from the image data acquisition unit 111 and generates measurement data from the received image data.
- the measurement data includes the distance between persons included in the image data (that is, the distance between persons).
- the measurement unit 112 detects at least an image of a person (that is, a person image) from the received image data. For example, the measurement unit 112 extracts the feature amount of a predetermined rectangular image, and compares it with the feature amount of a human image held in advance.
- the measurement unit 112 may count the number of persons included in the image data from the detected person images. The measurement unit 112 may also estimate the depth of the image and the actual distance from the size of the person image in the image data. In this case, the measuring unit 112 may measure the inter-person distance from the image of the detected person based on the estimated actual distance. The measurement unit 112 provides the generated measurement data to the determination unit 114 .
- the spatial data setting unit 113 sets spatial data regarding the size of the predetermined space. Spatial data is used when determining whether or not the congestion state in a given space is appropriate. Spatial data may be, for example, a value indicating the area of a given space. Further, the spatial data may be an index indicating the size of a given space instead of the area.
- the spatial data setting unit 113 may set spatial data by accepting an operation from the user of the information processing device 10, for example. Further, the spatial data setting unit 113 may receive spatial data from the information management device and set the received spatial data, for example. Further, the spatial data setting unit 113 may set spatial data by recognizing the size of a predetermined space from the image data acquired by the image data acquisition unit 111 . More specifically, the spatial data setting unit 113 recognizes the size of the person, the position of the wall, the size of the ground or floor surface on which the person moves, etc. included in the image data, and generates the spatial data from the recognized information. May be set. After setting the spatial data, the spatial data setting unit 113 supplies the set spatial data to the determination unit 114 .
- the determination unit 114 determines whether or not the crowd of people in the space is appropriate based on the measurement data and the space data.
- the result of the determination made by the determination unit 114 indicates, for example, whether or not the dense state is appropriate, in binary or in two stages such as "1" if appropriate and "0" if not appropriate. may Further, the determination result may indicate, for example, whether or not the state of congestion is appropriate, using an index of three or more stages.
- the determination unit 114 supplies the determination result to the output unit 115 . Note that the determination result may also be referred to as determination information, determination result information, or information related to the determination result. The determination result may include information other than the determination result.
- the crowded state when the crowded state is appropriate, it means that people are not excessively crowded with respect to the space and the risk of contracting infectious diseases is relatively low. In addition, the case where the crowding state is not appropriate means the case where people are excessively crowded with respect to the space, and the risk of infection with infectious diseases is relatively high.
- the output unit 115 serves as an interface for communicably connecting with the information management device.
- the output unit 115 outputs information about the determination result received from the determination unit 114 to the information management device.
- the information management device to which the output unit 115 outputs is just one example. good.
- FIG. 2 is a flow chart showing an information processing method according to the first embodiment.
- the information processing method according to this embodiment is started, for example, by activating the information processing apparatus 10 .
- the image data acquisition unit 111 acquires image data of a predetermined space captured by the camera (step S11). After acquiring the image data, the image data acquisition unit 111 supplies the acquired image data to the measurement unit 112 .
- the measurement unit 112 receives the image data from the image data acquisition unit 111, measures the distance between persons included in the received image data, and generates measurement data (step S12).
- the measurement unit 112 supplies the generated measurement data to the determination unit 114 .
- the spatial data setting unit 113 sets spatial data for the space (step S13).
- the spatial data setting unit 113 supplies the set spatial data to the determination unit 114 .
- the determination unit 114 determines whether or not the crowd of people in the space is appropriate based on the measurement data and the space data (step S14).
- the determination unit 114 supplies the determination result to the output unit 115 .
- the output unit 115 receives the determination result from the determination unit 114 and outputs the received determination result (step S15).
- step S13 may be performed before step S12. Further, step S11 or step S12 and step S13 may be performed in parallel.
- the information processing apparatus 10 has a processor and a storage device (not shown).
- the storage device included in the information processing device 10 includes, for example, a storage device including non-volatile memory such as flash memory and SSD (Solid State Drive).
- the storage device included in the information processing apparatus 10 stores a computer program (hereinafter also simply referred to as a program) for executing the information processing method described above.
- the processor also loads a computer program from a storage device into a buffer memory such as a DRAM (Dynamic Random Access Memory) and executes the program.
- a buffer memory such as a DRAM (Dynamic Random Access Memory)
- Each configuration of the information processing device 10 may be realized by dedicated hardware. Also, part or all of each component may be implemented by a general-purpose or dedicated circuit, processor, etc., or a combination thereof. These may be composed of a single chip, or may be composed of multiple chips connected via a bus. A part or all of each component of each device may be implemented by a combination of the above-described circuits and the like and programs. Moreover, CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (field-programmable gate array), etc. can be used as a processor. It should be noted that the configuration descriptions described herein may also be applied to other devices or systems described below in the present disclosure.
- each component of the information processing device 10 when part or all of each component of the information processing device 10 is realized by a plurality of information processing devices, circuits, etc., the plurality of information processing devices, circuits, etc. may be centrally arranged, They may be distributed.
- the information processing device, circuits, and the like may be implemented as a form in which each is connected via a communication network, such as a client-server system, a cloud computing system, or the like.
- the functions of the information processing device 10 may be provided in a SaaS (Software as a Service) format.
- Embodiment 1 has been described above. According to Embodiment 1, it is possible to provide an information processing apparatus or the like that suitably determines whether or not the congestion state of a space is appropriate.
- FIG. 3 is a block diagram of an information processing system according to a second embodiment;
- the information processing system 1 shown in FIG. 3 includes an information processing device 20 , an information management device 200 and a camera 310 .
- the information processing device 20, the information management device 200, and the camera 310 are communicably connected via a network N1.
- the network N1 may be a LAN (Local Area Network) or a WAN (Wide Area Network).
- the information processing device 20 acquires image data from the camera 310 , determines whether the congestion state for the space 300 is appropriate based on the acquired image data, and supplies the determination result to the information management device 200 .
- the information management device 200 receives determination results from the information processing device 20 and accumulates the received determination results.
- the information management device 200 also displays the determination result received from the information processing device 20 .
- the camera 310 is installed in the space 300 and is set to photograph the landscape of the space 300.
- Space 300 is a predetermined space in which multiple persons can exist.
- the space 300 is, for example, a conference room, an office, a classroom, a concert hall, a gymnasium, a restaurant, a store, a shopping mall, a square, an assembly hall, or the like.
- the camera 310 supplies image data generated by photographing the scenery of the space 300 to the information processing apparatus 20 via the network N1. Note that the number of cameras 310 may be one, or two or more.
- persons P1 to P3 are present in the space 300.
- the camera 310 captures scenery including the persons P1 to P3 to generate image data, and supplies the generated image data to the information processing device 20 .
- FIG. 4 is a block diagram of an information management device according to a second embodiment;
- the information management device 200 may be a smart phone, a tablet terminal, a personal computer, a server, or the like.
- the information management apparatus 200 has a determination result acquisition unit 211, an information input unit 212, a communication unit 213, a control unit 214, a display unit 215, and a storage unit 220 as main components.
- the determination result acquisition unit 211 receives determination results from the information processing device 10 . Upon receiving the determination result, the determination result acquisition unit 211 can supply the received determination result to the storage unit according to an instruction from the control unit 214 . Further, the determination result acquisition unit 211 can supply the determination result to the display unit 215 in accordance with an instruction from the control unit 214 .
- the information input unit 212 receives input from an information input device such as a keyboard or touch panel.
- the information input unit 212 supplies the received information to the control unit 214 .
- the communication unit 213 is an interface for communicating between the information management device 200 and the information processing device 20 .
- the control unit 214 includes an arithmetic device such as a CPU, and controls each component of the information management device 200 .
- the control unit 214 reads a program from the storage unit 220 and implements a predetermined function according to the read program.
- the display unit 215 is a display device including, for example, a liquid crystal panel or an organic electroluminescence panel, and displays predetermined information so that the user can see it.
- the display unit 215 displays, for example, the determination result acquired by the determination result acquisition unit 211 .
- the storage unit 220 is a storage device including a non-volatile memory, and stores at least a program for causing the information management device 200 to implement the functions of this embodiment.
- FIG. 5 is a block diagram of the information processing device 20 according to the second embodiment.
- the information processing apparatus 20 differs from the information processing apparatus 10 according to the first embodiment in that it includes an estimation unit 116 , a risk calculation unit 117 and a storage unit 120 . Also, the configuration of the information processing apparatus 20 differs from that of the first embodiment in the following points.
- the determination unit 114 in the present embodiment sets reference data regarding the distance between people in the size of the space 300 using spatial data.
- the reference data is predetermined data relating to the distance between people, and is used for comparison with measurement data when the determination unit 114 determines the state of congestion. More specifically, for example, the reference data includes an inter-person distance threshold. If the space data includes a predetermined space area, the determination unit 114 may set a threshold value of the inter-person distance corresponding to the area. In this case, the determination unit 114 may access a database that indicates the relationship between spatial data and inter-person distances, and obtain an inter-person distance corresponding to the area of the spatial data in the database.
- the determination unit 114 may calculate the threshold of the inter-person distance by performing predetermined arithmetic processing from the spatial data. Similarly, when the spatial data includes an index indicating the size of a predetermined space, the determination unit 114 can set the threshold of the inter-person distance corresponding to this index. If the spatial data includes a threshold for the distance between persons, the determination unit 114 may set this threshold as the reference data. The reference data may set a threshold for the number of people in a predetermined space in addition to the data regarding the distance between persons. Thereby, the determination unit 114 can set a threshold corresponding to an appropriate congestion state of each space. The determination unit 114 determines whether the congestion state is appropriate by comparing the measurement data and the reference data. Accordingly, the information processing apparatus 20 can appropriately determine whether the congestion state is appropriate or not according to the size of the space.
- the measurement unit 112 may generate statistical data of inter-person distances as measurement data.
- the statistical data of inter-person distances is, for example, an average value of inter-person distances among persons included in the predetermined space 300 .
- Statistical data may be a median value, a minimum value, or a moving average calculated in consideration of past measurement data.
- the statistics may also be data classified into multiple items that can form a histogram, as will be described later. Accordingly, the information processing apparatus 20 can determine whether or not the congestion state is appropriate from various viewpoints.
- the determination unit 114 uses the spatial data to set, as reference data, data that corresponds to the size of the space 300 and that can be compared with the measurement data. By using the statistical data as reference data in this way, the information processing apparatus 20 can determine in more detail whether the congestion state is appropriate.
- the determination unit 114 may set one reference data using measurement data at a plurality of different times. In this case, the determination unit 114 may calculate, for example, an average value of a plurality of measurement data and set it as reference data. Note that the average value may be a moving average or a weighted average.
- the estimation unit 116 estimates measurement data at a predetermined set time and generates estimated data corresponding to the set time.
- the estimated data is measurement data at the set time estimated from the measurement data past the set time. More specifically, the estimation unit 116 estimates the measurement data at the set time by using the measurement data at a plurality of different times in the past.
- the estimator 116 can generate estimated data by, for example, machine learning.
- the estimation unit 116 may also generate estimated data for each time from past measurement data in the same time period corresponding to the set time.
- the determination unit 114 makes a determination corresponding to the estimated data based on the estimated data and the spatial data. Thereby, the information processing device 20 can estimate the future congestion state in the predetermined space. Therefore, the information processing apparatus 20 can notify the user that the infection risk may increase before the infection risk in the space increases.
- the degree-of-risk calculation unit 117 estimates the degree of risk when a predetermined person passes through the space 300 .
- the degree of risk is an index calculated by estimating the congestion state of the space that occurs when a predetermined person passes through the space 300 .
- the degree of risk may be indicated by two values of "safe” and "dangerous", or may be indicated by an index of three or more levels.
- the degree of risk in the present embodiment is an index indicating the infection risk of an infectious disease. That is, when the risk is relatively high, it means that the risk of infection is high.
- the risk calculation unit 117 uses the determination result corresponding to the estimation data described above to estimate the risk when a predetermined person enters the space 300 at the set time. As a result, the information processing device 20 can reduce the risk of infection caused by entering a predetermined space.
- the storage unit 120 includes a non-volatile memory, and stores reference data set by the determination unit 114, for example. Moreover, the storage unit 120 may store measurement data at a plurality of times.
- the configuration of the information processing device 20 is not limited to the content described above.
- the measuring unit 112 may measure the moving speed of a person from image data at a plurality of different times. In that case, the measurement unit 112 generates measurement data including the moving speed of the person, and the determination unit 114 makes a determination by taking the moving speed into consideration. That is, for example, when the moving speed of a person is relatively slow, there is a high possibility that the people are so dense that it is difficult to move. By taking the moving speed into consideration, the information processing apparatus 20 can more preferably determine whether the dense state is appropriate.
- the spatial data setting unit 113 in the present embodiment may receive a value relating to the number of people permissible with respect to the size of the space 300 as spatial data, and set the received value as the spatial data.
- a user using the information processing device 20 can input the spatial data.
- a user using the information management device 200 may transmit spatial data to the information processing device 20, and the information processing device 20 may receive the data.
- the determination unit 114 may set, as reference data, a value related to the number of people received as spatial data.
- the determination unit 114 compares the data regarding the number of people included in the measurement data with the set reference data, and if the number of people included in the measurement data is larger than the reference data, the congestion state is determined. judged to be inappropriate. On the other hand, for example, when the number of people included in the measurement data is not greater than that in the reference data, the determination unit 114 determines that the congestion state is appropriate.
- the spatial data setting unit 113 in the present embodiment may set, as spatial data, a limit value of the permissible inter-person distance with respect to the size of the space 300 as spatial data.
- the user using the information processing device 20 can input the spatial data.
- a user using the information management device 200 may transmit spatial data to the information processing device 20, and the information processing device 20 may receive the data.
- the determination unit 114 may set, as reference data, a value related to the inter-person distance received as spatial data.
- the determination unit 114 compares the data related to the inter-person distance included in the measurement data with the set reference data, and if the inter-person distance included in the measurement data is smaller than the reference data, , determines that the congestion state is not appropriate. On the other hand, for example, if the inter-person distance included in the measurement data is not smaller than the reference data, the determination unit 114 determines that the dense state is appropriate.
- Spatial data may also include data that sets the number or ratio of people existing at a short distance below a threshold.
- the determination unit 114 can determine that the group is in a dense state as an exception when, for example, family members or friends are traveling together.
- FIG. 6 is a flowchart for the information processing device 20 according to the second embodiment.
- the flowchart shown in FIG. 6 differs from the first embodiment in the processing between steps S13 and S15.
- the determination unit 114 of the information processing device 20 sets reference data from the spatial data (step S21). Further, the determination unit 114 determines from the set reference data and the measurement data (step S22). Furthermore, the output unit 115 receives the determination result from the determination unit 114 and outputs the received determination result (step S15).
- the spatial data in step S13 may be preset fixed values and stored in the storage unit 120.
- the spatial data setting unit 113 can be said to set the spatial data by reading the spatial data from the storage unit 120, for example.
- FIG. 7 is a first diagram showing an example of the relationship between space and congestion.
- FIG. 7 schematically shows a space 300 and persons P1 to P3 existing in the space 300.
- Spatial data of space 300 shown in FIG. 7 shall include size V300.
- the size V300 is an index indicating the size of the space 300, and may be, for example, an area or a relative value that allows the information processing device 20 to identify the size of the space.
- the size V300 may be the length of one side of the space 300 or the length of a diagonal line D300 indicated by a dotted line in the drawing.
- the inter-person distance between the person P1 and the person P2 shown in FIG. 7 is the distance R1. Also, the inter-person distance between the person P2 and the person P3 is equal to or greater than the distance R1. Similarly, the inter-person distance between the person P3 and the person P1 is equal to or greater than the distance R1. Also, the distance R1 is assumed to be greater than a predetermined distance (for example, 2 meters) called a social distance.
- a predetermined distance for example, 2 meters
- the determination unit 114 determines whether or not the congestion state in the space 300 is appropriate based on the inter-person distances of the persons P1 to P3 and the spatial data.
- the determination unit 114 compares the inter-person distance with the size of the space 300, and determines whether or not the inter-person distance is appropriate.
- the distance R1 is, for example, about 15% of the diagonal D300. That is, distance R1 is small compared to the size of space 300 .
- the determination unit 114 sets the reference value of the inter-person distance to Rth, which is larger than R1, from the spatial data. Therefore, the determination unit 114 does not determine that the dense state of the space 300 shown in FIG. 7 is appropriate.
- FIG. 8 is a second diagram showing an example of the relationship between space and congestion.
- the distance R2 between the person P1 and the person P2 is longer than the distance R1.
- the inter-person distance between the person P2 and the person P3 is equal to or greater than the distance R2.
- the inter-person distance between the person P3 and the person P1 is equal to or greater than the distance R2.
- the determination unit 114 determines whether the congestion state in the space 300 is appropriate.
- the distance R2 is, for example, about 30% of the diagonal line D300.
- the reference value Rth set by the determination unit 114 is smaller than the distance R2. Therefore, the determining unit 114 determines that the dense state of the space 300 shown in FIG. 7 is appropriate.
- the information processing apparatus 20 can set an appropriate congestion state for each space and determine whether the congestion state in the space is appropriate.
- FIG. 9 is a third diagram showing an example of the relationship between space and congestion.
- person P4 exists in the vicinity of person P1.
- the positions of the persons P1 to P3 are the same as in FIG.
- a distance R3 is between the person P1 and the person P4.
- Distance R3 is smaller than reference value Rth.
- the distance between the person P4 and the person P2 and the distance between the person P4 and the person P3 are equal to the distance R2 and larger than the reference value Rth.
- the spatial data indicates the exception allowable value in addition to the data regarding the size of the space.
- the exception allowable value indicates the count number of measurement targets whose distance between persons is smaller than the threshold.
- the exceptional allowable value NE is indicated as 2 or less. That is, in the example of FIG. 9, even if there are up to two measurement targets for which the inter-person distance in the space 300 is determined to be smaller than the threshold value Rth, the determination unit 114 determines that this space is in an appropriate dense state. do.
- the determination unit 114 determines that the congestion state of the space 300 is appropriate.
- the information processing apparatus 20 can determine the crowded state of the space while allowing the inter-personal distance of persons having a close relationship, such as family members, to fall below the threshold value.
- FIG. 10 is a diagram illustrating an example of measurement data generated by the measurement unit;
- a graph H10 is shown in FIG.
- the graph H10 is a histogram in which the horizontal axis indicates the distance between persons and the vertical axis indicates the count number.
- the measurement unit 112 generates the measurement data corresponding to the histogram shown in the graph H10, so that the information processing device 20 can analyze the congestion state of the entire space in more detail.
- the determination unit 114 can also detect a tendency of changes in the state of congestion by comparing histograms at different times.
- the determination unit 114 may determine that the congestion state is not appropriate when the difference between the measurement data shown in FIG. 10 and the histogram as reference data is greater than a predetermined range.
- Embodiment 2 has been described above. According to Embodiment 2, it is possible to provide an information processing apparatus or the like that suitably determines whether or not the congestion state of a space is appropriate.
- An information processing system 2 according to the third embodiment differs from that of the second embodiment in that it has a concentration sensor 320 , a position data acquisition device 330 and an alert output device 340 .
- FIG. 11 is a block diagram of an information processing system 2 according to the third embodiment.
- the information processing system 2 has a density sensor 320 and a position data acquisition device 330 in addition to the camera 310 .
- the concentration sensor 320 measures the concentration of CO2 (carbon dioxide) in the air in the space 300. Generally, indoors, the more people there are, the more CO2 the people emit per unit time. Therefore, by measuring the concentration of CO2, the number of people present in space 300 can be estimated.
- the concentration sensor 320 supplies CO2 data, which is data relating to the concentration of CO2, to the information processing device 30 via the network N1. That is, by having the density sensor 320, the information processing system 2 can estimate the number of people in the room even in a space where the camera 310 cannot be installed. Alternatively, the information processing system 2 can estimate the number of people in a predetermined space by using the density sensor 320 together with the camera 310 .
- the position data acquisition device 330 acquires the position data of the mobile terminals carried by the persons present in the space 300 .
- the location data acquisition device 330 acquires a signal including a unique identifier and location data transmitted by, for example, a mobile terminal. After acquiring the position data, the position data acquisition device 330 supplies the acquired position data to the information processing device 30 via the network N1.
- the information processing system 2 can grasp the approximate position of the person indoors and outdoors. Therefore, for example, the information processing system 2 can use the density sensor 320 and the position data acquisition device 330 to estimate the number of people and their positions in a space where the camera 310 cannot be installed. Further, the information processing system 2 includes the camera 310, the density sensor 320, and the position data acquisition device 330, so that the number of people and the accuracy of measuring the positions of the people can be improved.
- the information processing apparatus 30 in the present embodiment acquires image data from the camera 310, acquires CO2 data from the density sensor 320, and further acquires position data of a mobile terminal carried by a person from the position data acquisition device 330.
- the information processing device 30 makes determinations from these data and spatial data relating to the space 300 .
- the information processing device 30 supplies the determination result to the alert output device 340 when the determination unit 114 makes a determination. At this time, the determination result may include information regarding the alert.
- the alert output device 340 receives the determination result from the information processing device 30 via the network N1, and outputs an alert signal according to the content of the received determination result.
- the alert signal output by the alert output device 340 is notified to a nearby person by, for example, sound, image, light, or a combination thereof. That is, the alert output device 340 has a speaker, a display, or a light-emitting device as means for notifying a person of an alert signal.
- the alert output device 340 is installed at the entrance of the space 300 and outputs a predetermined alert to a person trying to enter the space 300 . Alert output device 340 can also output a predetermined alert to a person present in space 300 .
- the alert output device 340 receives an alert signal related to information indicating whether or not the congestion state in the space 300 is appropriate based on the determination result.
- Alert output device 340 may, for example, emit a message to deter entry into space 300 .
- the information processing system 2 can efficiently improve the congestion state of the space 300 .
- FIG. 12 is a block diagram of an information processing apparatus according to a third embodiment.
- the information processing apparatus 30 shown in FIG. 12 differs from the information processing apparatus 20 according to the second embodiment in that it has a CO2 data acquisition section 118 and a position data acquisition section 119 .
- the CO2 data acquisition unit 118 acquires CO2 data, which is data regarding the concentration of carbon dioxide, from the concentration sensor 320 that measures the concentration of carbon dioxide in the space 300 . After acquiring the CO2 data, the CO2 data acquisition unit 118 supplies the acquired CO2 data to the measurement unit 112 . In this case, the measurement unit 112 estimates the number of people present in the space 300 from the CO2 concentration included in the received CO2 data. The measurement unit 112 generates measurement data from the number of persons thus estimated and the number of persons measured from the image data.
- the position data acquisition unit 119 acquires the position data of the mobile terminals carried by the persons in the space 300 via the position data acquisition device 330 . After acquiring the position data, the position data acquisition unit 119 supplies the acquired position data to the measurement unit 112 . In this case, the measurement unit 112 can estimate the inter-person distance from the position data.
- the determining unit 114 in the present embodiment When determining that the congestion state is not appropriate, the determining unit 114 in the present embodiment starts the timer when outputting a determination result indicating that the congestion state is not appropriate. Then, the output of the determination result indicating that the congestion state is appropriate is suppressed until the predetermined period after such determination ends.
- the determination unit 114 when determining that the congestion state is appropriate after determining that the congestion state is not appropriate, the determination unit 114 starts the timer when it determines that the congestion state has changed from the inappropriate state to the appropriate state. , the output of the determination result indicating that the congestion state is appropriate may be suppressed until the predetermined period ends.
- the timer described above may be set according to the air ventilation state of the space 300, for example. Also, this ventilation state may be set as spatial data. As a result, the information processing device 30 can continue outputting the alert signal until the congestion state of the space is improved.
- Output unit 115 in the present embodiment outputs an alert signal to alert output device 340 in addition to the determination result.
- FIG. 13 is a flowchart of an information processing apparatus according to a third embodiment
- the image data acquisition unit 111, CO2 data acquisition unit 118, and position data acquisition unit 119 of the information processing device 30 acquire image data, CO2 data, and position data, respectively (step S31).
- the image data acquisition unit 111 , the CO2 data acquisition unit 118 and the position data acquisition unit 119 of the information processing device 30 supply the acquired data to the measurement unit 112 .
- the measurement unit 112 generates measurement data from the received image data, CO2 data and position data (step S32).
- the measurement unit 112 supplies the generated measurement data to the determination unit 114 .
- the determination unit 114 sets reference data from the spatial data (step S33). Then, the determination unit 114 makes a determination based on the measurement data and the reference data (step S34).
- the determination unit 114 determines whether the congestion state is appropriate (step S35). When determining that the congestion state is appropriate (step S35: YES), the output unit 115 outputs a determination result indicating that the congestion state is appropriate (step S37), and ends the process. On the other hand, if it is not determined that the congestion state is appropriate (step S35: NO), the output unit 115 outputs the determination result indicating that the congestion state is not appropriate and an alert signal (step S36), and terminates the process.
- Embodiment 3 has been described above. According to Embodiment 3, it is possible to provide an information processing apparatus or the like that suitably determines whether or not the congestion state of a space is appropriate.
- FIG. 14 is a block diagram illustrating the hardware configuration of a computer.
- the information processing apparatus can implement the functions described above by a computer 500 including the hardware configuration shown in the drawing.
- the computer 500 may be a portable computer such as a smart phone or a tablet terminal, or may be a stationary computer such as a PC.
- Computer 500 may be a dedicated computer designed to implement each device, or may be a general-purpose computer.
- the computer 500 can implement desired functions by installing predetermined applications.
- Computer 500 has bus 502 , processor 504 , memory 506 , storage device 508 , input/output interface (I/F) 510 and network interface (I/F) 512 .
- the bus 502 is a data transmission path through which the processor 504, memory 506, storage device 508, input/output interface 510, and network interface 512 exchange data with each other.
- the method of connecting the processors 504 and the like to each other is not limited to bus connection.
- the processor 504 is various processors such as CPU, GPU or FPGA.
- the memory 506 is a main memory implemented using a RAM (Random Access Memory) or the like.
- the storage device 508 is an auxiliary storage device realized using a hard disk, SSD, memory card, ROM (Read Only Memory), or the like.
- the storage device 508 stores programs for realizing desired functions.
- the processor 504 reads this program into the memory 506 and executes it, thereby realizing each functional component of each device.
- the input/output interface 510 is an interface for connecting the computer 500 and input/output devices.
- the input/output interface 510 is connected to an input device such as a keyboard and an output device such as a display device.
- a network interface 512 is an interface for connecting the computer 500 to a network.
- Non-transitory computer-readable media include various types of tangible storage media.
- non-transitory computer-readable media examples include magnetic recording media (eg, flexible discs, magnetic tapes, hard disk drives), magneto-optical recording media (eg, magneto-optical discs), CD-ROM (Read Only Memory) CD-R, CD - R/W, including semiconductor memory (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)).
- the program may also be supplied to the computer on various types of transitory computer readable medium. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can deliver the program to the computer via wired channels, such as wires and optical fibers, or wireless channels.
- the information processing device according to appendix 1.
- the measurement means generates statistical data of the inter-person distance as the measurement data, The determining means sets the reference data corresponding to the statistical data in the space based on the spatial data.
- the information processing device according to appendix 2.
- the measurement means generates the measurement data including the number of the persons included in the image data; The determination means determines by considering the number of people, The information processing apparatus according to any one of Appendices 1 to 3.
- the measurement means generates the measurement data including the moving speed of the person, The determination means determines by considering the moving speed.
- the information processing apparatus according to any one of Appendices 1 to 4.
- the determination means sets the reference data based on the measurement data at a plurality of different times. 3.
- the information processing device according to any one of appendices 2 and 3.
- Appendix 7 further comprising estimating means for estimating the measured data at the set time based on the measured data at a plurality of different times in the past from a predetermined set time to generate estimated data;
- the determination means makes a determination corresponding to the estimated data based on the estimated data and the spatial data.
- the information processing device according to any one of Appendices 1 to 6.
- Appendix 8) further comprising risk estimation means for estimating a risk when the predetermined person enters the space at the set time based on determination information corresponding to the estimated data;
- the information processing device according to appendix 7.
- Appendix 9 further comprising CO2 data acquisition means for acquiring CO2 data, which is data relating to the concentration of carbon dioxide, from a concentration sensor that measures the concentration of carbon dioxide in the space; the measurement means generates the measurement data by estimating the number of the persons based on the CO2 data;
- the information processing device according to appendix 4. (Appendix 10) further comprising position data acquisition means for acquiring position data of a mobile terminal carried by each of the persons in the space; The measurement means estimates the inter-person distance based on the position data to generate the measurement data.
- the information processing device according to appendix 9.
- Information processing system 2 information processing system 10 information processing device 20 information processing device 30 information processing device 111 image data acquisition unit 112 measurement unit 113 spatial data setting unit 114 determination unit 115 output unit 116 estimation unit 117 risk calculation unit 118 CO2 data Acquisition unit 119 Position data acquisition unit 120 Storage unit 200 Information management device 211 Determination result acquisition unit 212 Information input unit 213 Communication unit 214 Control unit 215 Display unit 220 Storage unit 300 Space 310 Camera 320 Density sensor 330 Position data acquisition device 340 Alert output Apparatus 500 Computer 502 Bus 504 Processor 506 Memory 508 Storage Device 510 Input/Output Interface 512 Network Interface 900 Facility N1 Network P1 Person P2 Person
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Abstract
Description
図1を参照して実施の形態1について説明する。図1は、実施の形態1にかかる情報処理装置のブロック図である。図1に示す情報処理装置10は、所定の空間を撮影するように設定されたカメラに通信可能に接続し、カメラが撮影した画像にかかる画像データを受け取る。また情報処理装置10は、所定の情報管理装置に通信可能に接続している。情報処理装置10は、カメラから受け取った画像データに基づいて、この空間における人物の密集状態が適切か否かを判定し、この判定に関する情報を情報管理装置に出力する。本開示の1実施形態にかかる情報処理装置10は主な構成として、画像データ取得部111、測定部112、空間データ設定部113、判定部114および出力部115を有する。
判定部114が行う判定の結果は例えば、密集状態が適切であるか否かを、適切の場合は「1」、適切でない場合は「0」のような2値または2段階で示すものであってもよい。また判定結果は例えば、密集状態が適切であるか否かを、3段階以上の指標で示すものであってもよい。判定部114は、判定結果を出力部115に供給する。なお、判定結果は、判定情報、判定結果情報、または判定結果に関する情報と称されてもよい。判定結果は、判定結果以外の情報を含むものであってもよい。
次に、実施の形態2について説明する。図3は、実施の形態2にかかる情報処理システムのブロック図である。図3に示す情報処理システム1は、情報処理装置20、情報管理装置200およびカメラ310を含む。情報処理装置20、情報管理装置200およびカメラ310は、それぞれネットワークN1を介して通信可能に接続している。ネットワークN1は、LAN(Local Area Network)であってもよいし、WAN(Wide Area Network)であってもよい。
次に、実施の形態3について説明する。実施の形態3にかかる情報処理システム2は、濃度センサ320、位置データ取得装置330およびアラート出力装置340を有する点が、実施の形態2と異なる。図11は、実施の形態3にかかる情報処理システム2のブロック図である。
以下、本開示における情報処理装置の各機能構成がハードウェアとソフトウェアとの組み合わせで実現される場合について説明する。
(付記1)
カメラが撮影した所定の空間の画像データを取得する画像データ取得手段と、
前記画像データに含まれる人物の人物間距離を含む測定データを生成する測定手段と、
前記空間の大きさに関する空間データを設定する空間データ設定手段と、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定する判定手段と、
前記判定結果を出力する出力手段と、を備える
情報処理装置。
(付記2)
前記判定手段は、前記空間データに基づいて前記空間における前記人物間距離に関する参照データを設定し、前記測定データと前記参照データとに基づいて判定する、
付記1に記載の情報処理装置。
(付記3)
前記測定手段は、前記人物間距離の統計データを前記測定データとして生成し、
前記判定手段は、前記空間データに基づいて前記空間における前記統計データに対応する前記参照データを設定する、
付記2に記載の情報処理装置。
(付記4)
前記測定手段は、前記画像データに含まれる前記人物の数を含む前記測定データを生成し、
前記判定手段は、前記人物の数を加味して判定する、
付記1~3のいずれか一項に記載の情報処理装置。
(付記5)
前記測定手段は、前記人物の移動速度を含む前記測定データを生成し、
前記判定手段は、前記移動速度を加味して判定する、
付記1~4のいずれか一項に記載の情報処理装置。
(付記6)
前記判定手段は、複数の異なる時刻における前記測定データに基づいて前記参照データを設定する、
付記2または3のいずれか一項に記載の情報処理装置。
(付記7)
所定の設定時刻より過去における複数の異なる時刻にかかる前記測定データに基づいて前記設定時刻における前記測定データを推定して推定データを生成する推定手段をさらに備え、
前記判定手段は、前記推定データと前記空間データとに基づいて、前記推定データに対応する判定をする、
付記1~6のいずれか一項に記載の情報処理装置。
(付記8)
前記推定データに対応した判定情報に基づいて、前記設定時刻に所定の前記人物が前記空間に進入する場合の危険度を推定する危険度推定手段をさらに備える、
付記7に記載の情報処理装置。
(付記9)
前記空間における二酸化炭素の濃度を測定する濃度センサから二酸化炭素の濃度に関するデータであるCO2データを取得するCO2データ取得手段をさらに備え、
前記測定手段は、前記CO2データに基づいて前記人物の数を推定して前記測定データを生成する、
付記4に記載の情報処理装置。
(付記10)
前記空間における前記人物がそれぞれ携帯する携帯端末の位置データを取得する位置データ取得手段をさらに備え、
前記測定手段は、前記位置データに基づいて前記人物間距離を推定して前記測定データを生成する、
付記9に記載の情報処理装置。
(付記11)
前記判定手段は、前記密集状態が適切ではないと判定した場合には、前記判定の後の所定期間が終了するまでの間は、前記密集状態が適切であると示す前記判定結果の出力を抑制する、
付記1~10のいずれか一項に記載の情報処理装置。
(付記12)
付記1~10のいずれか一項に記載の情報処理装置と、
前記空間における前記密集状態が適切でない場合に、前記判定結果にかかるアラートを出力するアラート出力装置と、備える、
情報処理システム。
(付記13)
コンピュータが、
カメラが撮影した所定の空間の画像データを取得し、
前記画像データに含まれる人物の数および人物間距離を測定して測定データを生成し、
前記空間の大きさに関する空間データを設定し、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定し、
前記判定結果を出力する、
情報処理方法。
(付記14)
カメラが撮影した所定の空間の画像データを取得し、
前記画像データに含まれる人物の数および人物間距離を測定して測定データを生成し、
前記空間の大きさに関する空間データを設定し、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定し、
前記判定結果を出力する、
情報処理方法を、コンピュータに実行させる
プログラム。
2 情報処理システム
10 情報処理装置
20 情報処理装置
30 情報処理装置
111 画像データ取得部
112 測定部
113 空間データ設定部
114 判定部
115 出力部
116 推定部
117 危険度算出部
118 CO2データ取得部
119 位置データ取得部
120 記憶部
200 情報管理装置
211 判定結果取得部
212 情報入力部
213 通信部
214 制御部
215 表示部
220 記憶部
300 空間
310 カメラ
320 濃度センサ
330 位置データ取得装置
340 アラート出力装置
500 コンピュータ
502 バス
504 プロセッサ
506 メモリ
508 ストレージデバイス
510 出入力インタフェース
512 ネットワークインタフェース
900 施設
N1 ネットワーク
P1 人物
P2 人物
Claims (14)
- カメラが撮影した所定の空間の画像データを取得する画像データ取得手段と、
前記画像データに含まれる人物の人物間距離を含む測定データを生成する測定手段と、
前記空間の大きさに関する空間データを設定する空間データ設定手段と、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定する判定手段と、
前記判定手段の判定結果に関する情報を出力する出力手段と、を備える
情報処理装置。 - 前記判定手段は、前記空間データに基づいて前記空間における前記人物間距離に関する参照データを設定し、前記測定データと前記参照データとに基づいて判定する、
請求項1に記載の情報処理装置。 - 前記測定手段は、前記人物間距離の統計データを前記測定データとして生成し、
前記判定手段は、前記空間データに基づいて前記空間における前記統計データに対応する前記参照データを設定する、
請求項2に記載の情報処理装置。 - 前記測定手段は、前記画像データに含まれる前記人物の数を含む前記測定データを生成し、
前記判定手段は、前記人物の数を加味して判定する、
請求項1~3のいずれか一項に記載の情報処理装置。 - 前記測定手段は、前記人物の移動速度を含む前記測定データを生成し、
前記判定手段は、前記移動速度を加味して判定する、
請求項1~4のいずれか一項に記載の情報処理装置。 - 前記判定手段は、複数の異なる時刻における前記測定データに基づいて前記参照データを設定する、
請求項2または3のいずれか一項に記載の情報処理装置。 - 所定の設定時刻より過去における複数の異なる時刻にかかる前記測定データに基づいて前記設定時刻における前記測定データを推定して推定データを生成する推定手段をさらに備え、
前記判定手段は、前記推定データと前記空間データとに基づいて、前記推定データに対応する判定をする、
請求項1~6のいずれか一項に記載の情報処理装置。 - 前記推定データに対応した前記判定結果に基づいて、前記設定時刻に所定の前記人物が前記空間に進入する場合の危険度を推定する危険度推定手段をさらに備える、
請求項7に記載の情報処理装置。 - 前記空間における二酸化炭素の濃度を測定する濃度センサから二酸化炭素の濃度に関するデータであるCO2データを取得するCO2データ取得手段をさらに備え、
前記測定手段は、前記CO2データに基づいて前記人物の数を推定して前記測定データを生成する、
請求項4に記載の情報処理装置。 - 前記空間における前記人物がそれぞれ携帯する携帯端末の位置データを取得する位置データ取得手段をさらに備え、
前記測定手段は、前記位置データに基づいて前記人物間距離を推定して前記測定データを生成する、
請求項9に記載の情報処理装置。 - 前記判定手段は、前記密集状態が適切ではないと判定した場合には、前記判定の後の所定期間が終了するまでの間は、前記密集状態が適切であると示す前記判定結果の出力を抑制する、
請求項1~10のいずれか一項に記載の情報処理装置。 - 請求項1~10のいずれか一項に記載の情報処理装置と、
前記空間における前記密集状態が適切でない場合に、前記判定結果にかかるアラートを出力するアラート出力装置と、備える、
情報処理システム。 - コンピュータが、
カメラが撮影した所定の空間の画像データを取得し、
前記画像データに含まれる人物の数および人物間距離を測定して測定データを生成し、
前記空間の大きさに関する空間データを設定し、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定し、
前記判定の結果に関する情報を出力する、
情報処理方法。 - カメラが撮影した所定の空間の画像データを取得し、
前記画像データに含まれる人物の数および人物間距離を測定して測定データを生成し、
前記空間の大きさに関する空間データを設定し、
前記測定データと前記空間データとに基づいて、前記空間における前記人物の密集状態が適切か否かを判定し、
前記判定の結果に関する情報を出力する、
情報処理方法を、コンピュータに実行させる
プログラムが格納された非一時的なコンピュータ可読媒体。
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JPH06295395A (ja) * | 1993-04-07 | 1994-10-21 | Toshiba Corp | 警報監視装置 |
JPH08256999A (ja) * | 1995-03-27 | 1996-10-08 | Nippon Colin Co Ltd | 生体情報監視装置 |
JP2005327134A (ja) * | 2004-05-14 | 2005-11-24 | Matsushita Electric Ind Co Ltd | 異常検知装置及び異常検知方法 |
WO2007097210A1 (ja) * | 2006-02-22 | 2007-08-30 | Nec Corporation | 移動体監視システムおよび移動体監視方法 |
JP2009181307A (ja) * | 2008-01-30 | 2009-08-13 | Mitsubishi Electric Corp | 混雑滞留検知システム |
JP2013137601A (ja) * | 2011-12-28 | 2013-07-11 | Hitachi Ltd | 構造物の防犯システムおよびそれを備えたエレベータ |
JP2019080341A (ja) * | 2019-01-08 | 2019-05-23 | 株式会社Nexpoint | 管理システム、管理方法 |
CN111582052A (zh) * | 2020-04-17 | 2020-08-25 | 深圳市优必选科技股份有限公司 | 一种人群密集的预警方法、装置及终端设备 |
-
2022
- 2022-01-19 US US18/267,542 patent/US20240054759A1/en active Pending
- 2022-01-19 WO PCT/JP2022/001836 patent/WO2022201793A1/ja active Application Filing
- 2022-03-14 AR ARP220100582A patent/AR125538A1/es unknown
Patent Citations (8)
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JPH06295395A (ja) * | 1993-04-07 | 1994-10-21 | Toshiba Corp | 警報監視装置 |
JPH08256999A (ja) * | 1995-03-27 | 1996-10-08 | Nippon Colin Co Ltd | 生体情報監視装置 |
JP2005327134A (ja) * | 2004-05-14 | 2005-11-24 | Matsushita Electric Ind Co Ltd | 異常検知装置及び異常検知方法 |
WO2007097210A1 (ja) * | 2006-02-22 | 2007-08-30 | Nec Corporation | 移動体監視システムおよび移動体監視方法 |
JP2009181307A (ja) * | 2008-01-30 | 2009-08-13 | Mitsubishi Electric Corp | 混雑滞留検知システム |
JP2013137601A (ja) * | 2011-12-28 | 2013-07-11 | Hitachi Ltd | 構造物の防犯システムおよびそれを備えたエレベータ |
JP2019080341A (ja) * | 2019-01-08 | 2019-05-23 | 株式会社Nexpoint | 管理システム、管理方法 |
CN111582052A (zh) * | 2020-04-17 | 2020-08-25 | 深圳市优必选科技股份有限公司 | 一种人群密集的预警方法、装置及终端设备 |
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