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WO2025047251A1 - Dispositif de traitement d'informations, procédé de traitement d'informations, support d'enregistrement et système de traitement d'informations - Google Patents

Dispositif de traitement d'informations, procédé de traitement d'informations, support d'enregistrement et système de traitement d'informations Download PDF

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WO2025047251A1
WO2025047251A1 PCT/JP2024/027117 JP2024027117W WO2025047251A1 WO 2025047251 A1 WO2025047251 A1 WO 2025047251A1 JP 2024027117 W JP2024027117 W JP 2024027117W WO 2025047251 A1 WO2025047251 A1 WO 2025047251A1
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Prior art keywords
vehicle
weight
target
information processing
processing device
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PCT/JP2024/027117
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English (en)
Japanese (ja)
Inventor
和也 川上
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NEC Corp
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NEC Corp
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points

Definitions

  • the present invention relates to an information processing device, an information processing method, a program, and an information processing system.
  • Patent Document 1 describes an in-vehicle information processing device that transmits information input by the user and stored in a memory unit, such as information for identifying the vehicle and information regarding the vehicle's external dimensions and weight, to a parking lot or the like, inquires about the availability of parking, and reserves the parking lot.
  • the processing unit 106 performs a predetermined process according to the result of comparing the allowable weight indicated by the allowable weight information of the target area with the weight of the target vehicle 10 . For example, if the comparison result shows that the weight of the target vehicle 10 identified by the vehicle weight identification unit 104 is heavier than the allowable weight of the target area, the processing unit 106 performs processing to prevent the target vehicle 10 from entering the target area.
  • Information for guiding a region other than the target region is outputted from the output device 20.
  • the system guides the user to other parking lots in the vicinity of the parking lot (for example, within a 2 km radius) that have a weight allowance that is heavier than the weight of the target vehicle 10.
  • One example of a guidance method is to display information indicating the content of the guidance on an output device 20 such as an electronic bulletin board installed in front of the entrance to the target area.
  • another example of a guidance method is to have an on-board device installed in the target vehicle 10 or a communication device brought into the target vehicle 10 output information via a receiver, application, or the like.
  • the processing unit 106 determines whether the weight of the target vehicle 10 is lighter than the allowable weight indicated by the allowable weight information of the target area (step S123). If the weight of the target vehicle 10 is lighter than the allowable weight of the target area (YES in step S123), the processing unit 106 performs a process to permit the target vehicle 10 to enter the target area (step S127). Specifically, the processing unit 106 performs at least one of the above-mentioned processing examples 1 and 2.
  • step S125 and S127 the process returns to step S121 and waits until an image is transmitted from camera 5. Then, when the information processing device 100 receives an image from camera 5, it resumes the processing from step S121 onwards.
  • the allowable weight acquisition unit 102 acquires the allowable weight of the target area, and the vehicle weight identification unit 104 identifies the weight of the target vehicle 10 using an image of the target vehicle 10. Then, the processing unit 106 performs a predetermined process according to the comparison result between the allowable weight of the target area and the weight of the target vehicle 10. For example, when the weight of the vehicle is heavier than the weight allowed by the target area, the processing unit 106 performs a process to prevent the vehicle from entering the target area.
  • the information processing device 100 does not need to register information about the target vehicle 10 in advance, so it can perform the specified processing for all vehicles that attempt to enter the target area.
  • the information processing device 100 of this embodiment has the same configuration as that of Fig. 1.
  • the information processing device 100 of this embodiment is the same as the information processing device 100 of the first embodiment, except that the information processing device 100 determines whether or not the target vehicle 10 can enter the target area based on the total allowable weight in the target area and performs a predetermined process.
  • Each element of this embodiment may be combined with each element of one or more embodiments to the extent that no contradiction occurs.
  • the processing unit 106 calculates the total weight of at least one vehicle already present within the target area, and performs a predetermined processing based on the result of comparing the allowable total weight permitted by the target area with the sum of the total weight of the vehicles and the weight of the target vehicle 10.
  • the total weight permitted by the target area is stored in the permitted weight information 200 in FIG. 5, and is further associated with each target area or each section of the target area.
  • the processing unit 106 calculates the total weight of the vehicles present in the target area (step S111). Then, the processing unit 106 adds the total weight of the vehicles calculated in step S111 to the weight of the target vehicle 10 identified by the vehicle weight identification unit 104 (step S113). Then, the processing unit 106 compares the allowable total weight of the target area with the added weight calculated in step S113, and performs a predetermined process according to the comparison result (step S115).
  • the processing unit 106 determines the total weight of at least one vehicle that is already present within the target area, and performs a predetermined processing based on the result of comparing the allowable total weight permitted by the target area with the sum of the total weight of the vehicles and the weight of the target vehicle 10. In this way, the information processing device 100 of this embodiment achieves the same effects as the above embodiment, and furthermore, it is possible to prevent the target vehicle 10 from entering the target area and exceeding the total allowable weight of the target area, thereby making it possible to prevent adverse effects on facilities such as parking lots and infrastructure facilities such as roads and bridges due to the vehicle exceeding its weight.
  • the information processing device 100 of this embodiment has the same configuration as the information processing device 100 of the second embodiment described above, except that it has a specific configuration for identifying vehicles present in a target area. Note that each element of the information processing device 100 of this embodiment may be combined with each element of one or more embodiments to the extent that no contradiction occurs.
  • a camera 5 is installed at the entrance and exit of each target area.
  • the vehicle weight identification unit 104 identifies vehicles entering and exiting the target area using images captured by the cameras 5 installed at the entrance and exit of the target area.
  • the vehicle weight identification unit 104 then identifies the vehicles present in the target area and calculates the total weight of the vehicles present in the target area.
  • the flow of FIG. 10 includes the same steps S121, S125, and S127 as the flow of FIG. 8, and further includes steps S131 to S139.
  • the allowable weight acquisition unit 102 reads and acquires the allowable total weight of the target area from the allowable weight information 200 (step S131).
  • the vehicle weight identification unit 104 acquires an image of the target vehicle 10 captured by the camera 5 installed in front of the entrance to the target area (step S121). Furthermore, the vehicle weight identification unit 104 acquires an image of the vehicle captured by the camera 5 installed at the entrance/exit of the target area (step S133).
  • the vehicle weight identification unit 104 uses each image to identify the weight of the target vehicle 10 and each vehicle (step S135).
  • the method of identifying the weight is the same as in the above embodiment.
  • the vehicle weight identification unit 104 adds the weight of the target vehicle 10 to the total weight of the vehicles present in the target area to calculate the total weight (step S137). Specifically, the vehicle weight identification unit 104 calculates the total weight by repeatedly adding the weight of the vehicle included in the image captured by the camera 5 at the entrance to the target area to the total weight and subtracting the weight of the vehicle included in the image captured by the camera 5 at the exit of the target area from the total weight.
  • the total weight information 240 records the target vehicles 10 identified by each camera 5 for each target area (each section) and the vehicle weight.
  • the total weight information 240 is stored in the storage device 120.
  • the total weight information 240 records the date and time when the vehicle entered (IN in the figure) or exited (OUT in the figure), the identified weight of the vehicle, and the calculated total weight.
  • the processing unit 106 adds the weight of the target vehicle 10 to the total weight recorded in the total weight information 240 to calculate the total weight (added weight in the figure) when the target vehicle 10 enters the target area.
  • the processing unit 106 compares the allowable total weight of the target area with the total weight calculated in step S137. Specifically, the processing unit 106 determines whether the total weight calculated in step S137 is lighter than the allowable total weight of the target area (step S139). If the total weight calculated in step S137 is lighter than the allowable total weight of the target area (YES in step S139), the processing unit 106 performs a process to permit the target vehicle 10 to enter the target area (step S127). On the other hand, if the total weight calculated in step S137 is heavier than the allowable total weight of the target area (NO in step S139), the processing unit 106 performs a process to prohibit the target vehicle 10 from entering the target area (step S125).
  • steps S121 and S133 the images received from each camera 5 are transmitted from the camera 5 together with the identification information of the camera 5 that took the image. Therefore, the vehicle weight identification unit 104 can identify the location where the image was taken by that camera 5.
  • the camera information 250 associates, for each target area identified by the target area identification information, the target area name, and the partition, the identification information of the installed camera 5 and information indicating the installation position of the camera 5.
  • the installation position of the camera 5 installed at the entrance of the target area is indicated as "IN”
  • the installation position of the camera 5 installed at the exit of the target area is indicated as "OUT" (not shown).
  • the installation position of the camera 5 installed in a position before the entrance of the target area is indicated as "Before”.
  • the vehicle weight identification unit 104 may further use the camera 5 installed within the target area, in which case, for example, the installation position of the camera 5 may be indicated as "INSIDE" (not shown).
  • the vehicle weight identification unit 104 can identify the shooting location of the received image by acquiring the identification information of each camera 5 along with the image transmitted from that camera 5.
  • the cameras 5 are installed at the entrance and exit of each target area.
  • the vehicle weight identification unit 104 identifies vehicles entering and exiting the target area using images captured by the cameras 5 installed at the entrance and exit of the target area.
  • the vehicle weight identification unit 104 then identifies vehicles present within the target area and calculates the total weight of the vehicles present within the target area. In this way, according to the information processing device 100 of this embodiment, it is possible to efficiently achieve the same effects as the above-described embodiment by using images generated by a plurality of cameras 5 .
  • the information processing device 100 in Fig. 13 further includes a calculation unit 108 in addition to the configuration in Fig. 1.
  • the information processing device 100 in Fig. 13 is similar to the information processing device 100 in Fig. 1 except that it includes the calculation unit 108. Note that each element in Fig. 13 may be combined with each element in one or more embodiments to the extent that no contradiction occurs.
  • the calculation unit 108 calculates the usage fee for the target area according to the weight of the target vehicle 10 identified by the vehicle weight identification unit 104.
  • the calculation unit 108 may set the usage fee for the target area to a higher fee than the standard fee if the weight of the target vehicle 10 is heavier than the first threshold. Also, the calculation unit 108 may set the usage fee for the target area to a lower fee than the standard fee if the weight of the target vehicle 10 is lighter than the second threshold (here, the first threshold > the second threshold).
  • the calculation unit 108 calculates the usage fee for the target area according to the weight of the target vehicle 10 identified by the vehicle weight identification unit 104.
  • the information processing device 100 of this embodiment achieves the same effects as the above embodiment, and furthermore, since the usage fee for the target area can be calculated according to the weight of the target vehicle 10, for example, a heavier target vehicle 10 can be made to bear a higher usage fee. In other words, the heavier the vehicle, the greater the burden on the target area, and therefore the heavier vehicle can be made to bear a greater share of the costs related to maintaining and managing the target area. Therefore, there is a sense of fairness for users U of vehicles that are light in weight and place a smaller burden on the target area.
  • the information processing device 100 has a vehicle type identification unit 110 and a processing unit 106.
  • the information processing device 100 in Fig. 14 is similar to the information processing device 100 in other disclosures, except that the information processing device 100 identifies the type of the target vehicle 10 using an image of the target vehicle 10 and performs a predetermined process according to the type. For example, the information processing device 100 does not identify the weight of the target vehicle 10, but performs a predetermined process according to whether the target vehicle 10 is an electric vehicle or not.
  • each element in Fig. 14 may be combined with each element in one or more embodiments to the extent that no contradiction occurs.
  • the information processing device 100 may further include the allowable weight acquisition unit 102 in Fig. 1.
  • the vehicle type identification unit 110 uses an image of the target vehicle 10 to identify the external characteristics of the target vehicle 10, and uses the external characteristics to identify the type of the target vehicle 10.
  • the type of the target vehicle 10 is information indicating at least whether it is an electric vehicle.
  • the vehicle type identification unit 110 may identify at least one type of an engine vehicle, a hybrid vehicle, and a fuel cell vehicle in addition to an electric vehicle.
  • the processing unit 106 performs a predetermined process depending on the type of the target vehicle 10.
  • the processing unit 106 performs a predetermined process by comparing the allowable weight of vehicles in the target area with the weight of the target vehicle 10.
  • the processing unit 106 performs a predetermined process using at least the type of the target vehicle 10. In other words, the processing unit 106 performs a predetermined process depending on whether the target vehicle 10 is an electric vehicle or not, assuming that electric vehicles are heavier than engine vehicles.
  • the processing unit 106 performs a process of guiding the target vehicle 10 to another target area as a predetermined process. If the type of the target vehicle 10 is not an electric vehicle, the processing unit 106 performs a process of permitting the target vehicle 10 to enter the target area as a predetermined process. However, if the target area is a parking lot or the like, where there are restrictions on the number of vehicles that can enter or the size of the vehicles, the processing unit 106 may perform a process according to those restrictions.
  • the information processing device 100 of FIG. 14 may be combined with the configuration of the information processing device 100 of FIG. 1 or FIG. 13.
  • the vehicle type identification unit 110 may identify whether the type of the target vehicle 10 is an electric vehicle, and then the vehicle weight identification unit 104 may identify the weight of the target vehicle 10.
  • the processing unit 106 may perform a process of guiding the user to other target areas.
  • the processing unit 106 may further perform a comparison process using the weight of the target vehicle 10, the weight of vehicles already present in the target area, and the allowable total weight allowed by the target area, and may use the comparison result to perform a predetermined process on the target vehicle 10.
  • the calculation unit 108 may calculate a usage fee for the target area that is higher than the standard.
  • the vehicle type identification unit 110 identifies the type of the target vehicle 10 using an image of the target vehicle 10 (step S201). Then, the processing unit 106 performs a predetermined process according to the type of the target vehicle 10 (step S203).
  • the vehicle type identification unit 110 uses an image of the target vehicle 10 to identify the external characteristics of the target vehicle 10, and uses the external characteristics to identify the type of the target vehicle 10. Then, the processing unit 106 performs a predetermined process according to the type of the target vehicle 10.
  • the information processing device 100 of this embodiment achieves the same effects as the above embodiment, and furthermore, the information processing device 100 can perform processing according to the type of the target vehicle 10 as long as the type of the target vehicle 10 can be identified, even if the weight of the target vehicle 10 is not identified. Since there is no need to perform detailed image analysis processing, the processing load of the information processing device 100 can be reduced. Furthermore, since there is no need to store the characteristic information required for image analysis for each vehicle model, the storage capacity of the storage device 120 can be reduced.
  • the weight is specified by identifying the model and type of the target vehicle 10.
  • the weight may be specified by identifying the body type and type of the target vehicle 10.
  • the vehicle-specific weight information 210 is stored in the storage device 120 in such a manner that the vehicle weight is associated with the vehicle body type and type.
  • the vehicle weight identification unit 104 processes the captured image of the target vehicle 10 to identify the body type and classification of the target vehicle 10, and reads and obtains the corresponding weight from the vehicle-specific weight information 210. For example, the vehicle weight identification unit 104 may identify the body type based on the shape and size of the target vehicle 10. Furthermore, the vehicle weight identification unit 104 may identify the classification as being an electric vehicle or not based on the presence or absence of an exhaust port on the target vehicle 10. In other words, if there is no exhaust port, the vehicle weight identification unit 104 may identify the target vehicle 10 as being an electric vehicle. As described above, if it is not possible to identify whether the vehicle is an electric vehicle or not, the vehicle weight identification unit 104 may identify the type of the target vehicle 10 as being an electric vehicle.
  • the weight of the target vehicle 10 can be identified without identifying the vehicle model of the target vehicle 10, which reduces the processing load on the information processing device 100.
  • the storage capacity of the storage device 120 can be reduced.
  • the processing unit 106 may further have a function of permitting entry, but performing a process for setting the usage fee for the target area higher than the regular fee (or reducing the discount rate, etc.) as a predetermined process.
  • the fee may be set according to the amount of the excess weight, with the fee being higher the greater the excess amount.
  • the fee may be set in stages according to the excess weight, or according to the ratio of the excess weight to the allowable weight.
  • the processing unit 106 may further have a function of granting an incentive to the target vehicle 10 that cancels entry into the target area and takes a detour or changes its destination.
  • the processing unit 106 acquires the location information of the target vehicle 10 that has been prohibited from entering the target area or has been suggested to take a detour, and if it is determined that the target vehicle 10 has avoided entering the target area, it performs processing to grant an incentive to the target vehicle 10.
  • Examples of incentives include, but are not limited to, points, electronic coupons, discounts on the usage fee of the detouring destination, and discounts on the next usage fee of the target area.
  • the information processing device 100 calculates the total weight of the vehicles present in the target area, and performs a predetermined process (such as a process of prohibiting or permitting entry into the target area) by comparing it with the allowable total weight of the target area.
  • the processing unit 106 may perform a predetermined process such as a process of outputting information indicating how many more vehicles can enter the target area, or how many more vehicles must exit before the toll becomes the regular toll (or the discounted toll), etc.
  • the information processing device 100 performs the following processes. First, the vehicle weight identification unit 104 calculates the total weight of the vehicles currently present in the target area based on the image transmitted from the camera 5. Then, if the calculated total vehicle weight is less than the allowable total weight of the target area, the processing unit 106 uses the average vehicle weight to calculate how many more vehicles can enter the target area. Then, the processing unit 106 performs processing to cause vehicles present in an area before the position at which they will enter the target area to output the number of vehicles that can enter the target area as output information including the number of vehicles that can enter the target area.
  • the processing unit 106 calculates the usage fee for the current entry, and also calculates, using the average vehicle weight, how many more vehicles need to exit before the usage fee for entering the target area becomes the regular fee (or whether a discount is applied, etc.). The processing unit 106 then uses the calculated number of vehicles to perform processing to output information indicating how many more vehicles need to exit before the usage fee for entering the target area becomes the regular fee (or whether a discount is applied, etc.) and includes this information in the output information.
  • Another example of the present disclosure may be a program that causes at least one computer to execute the above-disclosed method, or a computer-readable recording medium having such a program recorded thereon.
  • the recording medium includes a non-transitory tangible medium.
  • the computer program includes computer program code which, when executed by a computer, causes the computer to carry out the information processing method on an information processing device.
  • the various components of this disclosure do not necessarily have to be independent entities, but may be formed as a single member by multiple components, one component may be formed from multiple components, one component may be part of another component, or part of one component may overlap with part of another component, etc.
  • steps of the method and computer program disclosed herein are not limited to being executed at different times.
  • a step may be executed while another step is being executed, or the execution timing of a step may overlap in part or in whole with the execution timing of another step, etc.
  • An allowable weight acquisition means for acquiring allowable weight information indicating the weight allowed in a target area that is an area in which a vehicle can enter; a vehicle weight identification means for identifying a weight of a target vehicle that is about to enter or has entered the target area by using an image of the target vehicle; a processing unit that performs a predetermined process depending on a result of a comparison between the allowable weight indicated by the allowable weight information of the target area and the weight of the target vehicle.
  • a vehicle type identification means for identifying an external characteristic of a target vehicle, which is a vehicle about to enter or has entered a target area, using an image captured of the target vehicle, and identifying a type of the target vehicle using the external characteristic; and a processing means for performing a predetermined process according to the type of the target vehicle.
  • an allowable weight acquisition means for acquiring allowable weight information indicating a weight allowable in a target area which is an area in which a vehicle can enter; and a vehicle weight determination means for determining a weight of a target vehicle that is about to enter or has entered the target area by using an image of the target vehicle,
  • the processing means performs a predetermined process according to a comparison result between the allowable weight indicated by the allowable weight information of the target area and the weight of the target vehicle.
  • the processing means includes: an information processing device that calculates the total weight of vehicles already present within the target area, and performs the specified processing based on the comparison result between the total weight permitted by the target area and the sum of the total weight of the vehicles and the weight of the target vehicle. 5.
  • the processing means performs the predetermined processing as follows: When the comparison result indicates that the weight of the vehicle is heavier than the allowable weight of the target area, the information processing device performs processing to guide the user to another area. 6.
  • the vehicle weight identification means is an information processing device that identifies an external appearance characteristic of the target vehicle using an image captured of the target vehicle, and identifies a weight of the target vehicle using the external appearance characteristic. 7. In the information processing device according to 6., The vehicle weight identification means, when the weight of the target vehicle cannot be identified from the external characteristics of the target vehicle, identifies the vehicle number of the target vehicle using the image, and identifies the weight of the target vehicle using the vehicle number. 8. In the information processing device according to any one of 1 to 7, The vehicle weight identification means is an information processing device that identifies a vehicle type of the target vehicle using an image of the target vehicle, and identifies a weight of the target vehicle using the vehicle type. 9.
  • the information processing device wherein the vehicle type includes whether the vehicle is an electric vehicle or an engine vehicle. 10.
  • the vehicle weight identification means when the vehicle type of the target vehicle cannot be identified, uses a reference value as the weight of the target vehicle. 11.
  • An information processing device wherein the image used by the vehicle weight identification means is generated by imaging means provided at an entrance of the target area. 12.
  • the vehicle weight identification means further identifies an amount of sinking of the target vehicle using the image, and modifies the weight of the target vehicle using the amount of sinking. 13.
  • the vehicle weight identification means further identifies an amount of sinking of the target vehicle using the image, and modifies the weight of the target vehicle using the amount of sinking. 13.
  • the information processing device any one of 1.
  • the information processing device further comprises a calculation means for calculating a usage fee for the target area in accordance with the weight of the target vehicle identified by the vehicle weight identification means. 14.
  • the information processing device wherein the target area is one of a parking lot, a bridge, and a highway.
  • One or more computers Obtain allowable weight information indicating the allowable weight of a target area, which is an area in which a vehicle can enter; Using an image of a target vehicle that is entering or has entered the target area, a weight of the target vehicle is identified; An information processing method comprising: performing a predetermined process according to a result of comparing an allowable weight indicated by the allowable weight information of the target area with a weight of the target vehicle. 16.
  • One or more computers Identifying an external characteristic of a target vehicle, which is a vehicle about to enter or entering a target area, using an image captured of the target vehicle, and identifying a type of the target vehicle using the external characteristic; An information processing method, comprising: performing a predetermined process depending on the type of the target vehicle. 17.
  • an allowable weight acquisition process for acquiring allowable weight information indicating the weight allowed in a target area, which is an area in which a vehicle can enter;
  • a vehicle weight identification process for identifying a weight of a target vehicle that is about to enter or has entered the target area using an image of the target vehicle;
  • a program for executing a process of performing a predetermined process depending on a comparison result between the allowable weight indicated by the allowable weight information of the target area and the weight of the target vehicle.
  • a vehicle type identification process that uses an image of a target vehicle that is about to enter or has entered a target area to identify an external characteristic of the target vehicle, and identifies the type of the target vehicle using the external characteristic;
  • An imaging device that generates an image of a target vehicle that is entering or has entered a target area;
  • An information processing device includes: an allowable weight acquisition means for acquiring allowable weight information indicating a weight allowable in the target area, which is an area in which a vehicle can enter; a vehicle weight identification means for identifying a weight of a target vehicle that is about to enter or has entered the target area by using an image of the target vehicle; a processing unit that performs a predetermined process depending on a result of a comparison between the allowable weight indicated by the allowable weight information of the target area and the weight of the target vehicle.
  • An imaging device that generates an image of a target vehicle that is entering or has entered a target area;
  • An information processing device includes: a vehicle type identification means for identifying an external characteristic of a target vehicle, which is a vehicle about to enter or has entered the target area, using an image captured of the target vehicle, and identifying a type of the target vehicle using the external characteristic; and a processing means for performing a predetermined process according to the type of the target vehicle. 21. In the information processing system according to 19.
  • An information processing system in which the processing means of the information processing device outputs, as the specified output, information to the output device to prevent the target vehicle from entering the target area if the weight of the target vehicle is heavier than the allowable weight indicated by the allowable weight information for the target area. 22.
  • an allowable weight acquisition process for acquiring allowable weight information indicating the weight allowed in a target area, which is an area in which a vehicle can enter;
  • a vehicle weight identification process for identifying a weight of a target vehicle that is about to enter or has entered the target area using an image of the target vehicle;
  • a recording medium storing a program for executing a process of performing a predetermined process depending on a comparison result between the allowable weight indicated by the allowable weight information of the target area and the weight of the target vehicle.
  • a vehicle type identification process that uses an image of a target vehicle that is about to enter or has entered a target area to identify an external characteristic of the target vehicle, and identifies the type of the target vehicle using the external characteristic;
  • a recording medium storing a program for executing a process of performing a predetermined process depending on the type of the target vehicle.

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Abstract

Le présent dispositif de traitement d'informations comprend : une unité d'acquisition de poids admissible qui acquiert des informations de poids admissibles indiquant un poids autorisé par une région cible qui est une région dans laquelle un véhicule peut entrer ; une unité d'identification de poids de véhicule qui identifie le poids d'un véhicule cible, qui entre ou tente d'entrer dans la région cible, à l'aide d'une image capturée du véhicule cible ; et une unité de traitement qui effectue un traitement prescrit en fonction du résultat de la comparaison entre le poids admissible indiqué par les informations de poids admissibles de la région cible et le poids du véhicule cible.
PCT/JP2024/027117 2023-08-28 2024-07-30 Dispositif de traitement d'informations, procédé de traitement d'informations, support d'enregistrement et système de traitement d'informations Pending WO2025047251A1 (fr)

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JP2023-138346 2023-08-28
JP2023138346 2023-08-28

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Citations (6)

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