Logistics management system, logistics management method and program
The logistics management system uses imaging and weight sensors in elevators to efficiently track and manage cargo data, addressing the inefficiencies of paper-based surveys and improving logistics dynamics in existing buildings.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-08-19
- Publication Date
- 2026-03-19
AI Technical Summary
Grasping logistics information in existing buildings through paper-based surveys is labor-intensive and time-consuming, and it is difficult to accurately capture actual logistics dynamics due to variations over time.
A logistics management system utilizing imaging devices installed in elevators to identify cargo quantity, size, and destination based on captured images, optionally combined with weight sensors to measure cargo weight, and associate this information with delivery destinations.
Enables efficient and accurate tracking and management of in-building logistics information, facilitating centralized data management and optimization of cargo handling operations.
Smart Images

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Abstract
Description
Technical Field
[0006] , , ,
[0005] , ,
[0001] The present invention relates to a logistics management system, a logistics management method, and a program.
Background Art
[0002] With the development of autonomous driving robot technology, cargo delivery by robots in buildings has begun to be experimentally carried out. The use of delivery robots in in-building logistics can not only secure labor force, but also reduce the number of vertical trips due to the integration of in-building deliveries and improve the turnover rate of parking lots. However, for the operation plan such as the scale of the cargo handling facility and robot delivery, logistics information such as the amount of cargo generated in the building (hereinafter referred to as "cargo volume") and delivery destinations is required.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] Grasping logistics information through paper-based surveys of operators such as questionnaire surveys and observational surveys requires a great deal of labor and time, and it is difficult to grasp actual logistics information.
[0005] The present invention has been made in view of such circumstances, and an object thereof is to provide a logistics management system, a logistics management method, and a program capable of grasping logistics information of in-building logistics in existing buildings.
Means for Solving the Problems
[0006] (1) One aspect of the present invention is a logistics management system comprising: an imaging device installed in a building; and a processing unit that identifies the quantity of cargo to be delivered by elevator and the destination of the cargo based on information including the image captured by the imaging device, and associates the identified quantity of cargo with information on the destination of the cargo.
[0007] (2) The logistics management system described in (1) above, wherein the cargo volume may include information on at least one of the following: the quantity of the cargo, the size of the cargo, and the shape of the cargo.
[0008] (3) A logistics management system according to (1) or (2) above, wherein the processing unit may associate at least the size of the cargo and the destination of the cargo with each cargo.
[0009] (4) A logistics management system according to any of (1) to (3) above, comprising a weight sensor located inside the elevator, wherein the processing unit identifies the weight of the cargo to be delivered to the delivery destination and the delivery destination of the cargo based on information from the weight sensor and the image from the imaging device, and associates the identified delivery destination with the weight of the cargo to be delivered to that delivery destination.
[0010] (5) A logistics management system according to any of (1) to (4) above, wherein the processing unit generates unit data, which is the amount of cargo generated per unit time, based on the cargo volume.
[0011] (6) One aspect of the present invention is a logistics management method for an information processing device that manages information on delivery cargo generated within a building, comprising: an identification step that identifies the amount of cargo in the elevator and the destination of the delivery cargo based on information including an image captured from an imaging device installed in the building; and a processing unit that associates the identified amount of cargo with information on the destination of the cargo.
[0012] (7) One aspect of the present invention is a program executed in an information processing device that manages information on delivery cargo generated within a building, which identifies the amount of cargo in the elevator and the destination of the delivery cargo based on information including captured images obtained from an imaging device installed in the building, and associates the identified amount of cargo with information on the destination. [Effects of the Invention]
[0013] As described above, according to the present invention, it is possible to grasp logistics information for in-building logistics in existing buildings. [Brief explanation of the drawing]
[0014] [Figure 1] This is a schematic diagram of the logistics management system according to the first embodiment. [Figure 2] This is an example of cargo information according to the first embodiment. [Figure 3] This diagram illustrates the flow of the logistics management method according to the first embodiment. [Figure 4] This figure shows an example of an image captured when cargo is loaded into an elevator according to the first embodiment. [Figure 5] This figure shows an example of an image captured when cargo is unloaded from an elevator according to the first embodiment. [Figure 6] This is a schematic diagram of the logistics management system according to the second embodiment. [Figure 7] This figure shows an example of the hardware configuration of an information processing device according to the first or second embodiment. [Modes for carrying out the invention]
[0015] Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution of the invention. In the drawings, the same or similar parts may be denoted by the same reference numerals, and redundant descriptions may be omitted. Also, the shape and size of elements in the drawings may be exaggerated for clearer explanation.
[0016] Hereinafter, the logistics management system, management method, and program according to the present embodiment will be described with reference to the drawings.
[0017] As one of the building planning methods considering the urban environment, a design that appropriately considers in-building logistics is effective (e.g., shortening vertical movement time, preventing on-road cargo sorting, etc.). In a design that appropriately considers in-building logistics, it may be necessary to appropriately estimate logistics information such as the amount of goods generated in the building and logistics dynamics. Here, it is possible to grasp logistics information through paper-based surveys of operators or observational surveys. However, these surveys require a great deal of time for responses and impose a burden on the surveyors. Also, in these surveys, the surveys are often conducted only on a certain representative day, not on all days, and a decrease in data accuracy becomes a problem. Also, it is difficult to grasp the actual logistics dynamics that vary over several days through surveys on representative days.
[0018] The logistics management system of the present embodiment identifies (including estimation) the amount of goods delivered by in-building logistics in a building, and measures logistics information of in-building logistics using the captured image of an imaging device installed inside the freight elevator. Thereby, it is possible to easily grasp the logistics information of in-building logistics in an existing building. Note that grasping the logistics information of in-building logistics in an existing building does not mean grasping all of the logistics information related to in-building logistics.
[0019] (First Embodiment) FIG. 1 is a schematic configuration diagram of a logistics management system 100 according to the first embodiment. As shown in FIG. 1, the logistics management system 100 includes an imaging device 10 and an information processing device 20. In the following description, as illustrated in FIG. 1, a case where the logistics management system 100 includes a plurality of imaging devices 10 will be described as an example. However, the number of imaging devices 10 in the logistics management system 100 is not particularly limited, and it may include only one imaging device 10. Also, the plurality of imaging devices 10 may be two or more.
[0020] The plurality of imaging devices 10 are installed inside the building. In the example shown in FIG. 1, the plurality of imaging devices 10 are installed inside the elevator ELV in the building. However, it is not limited thereto, and the plurality of imaging devices 10 may be installed outside the elevator ELV. In the following description, for the sake of convenience of explanation, a case where the plurality of imaging devices 10 are installed inside the elevator ELV will be described as an example. The elevator ELV is, for example, a freight elevator. In the example shown in FIG. 1, two imaging devices 10 are installed in the elevator ELV. One or more imaging devices 10 may be installed in each of all the elevators ELV in the building.
[0021] The plurality of imaging devices 10 are connected to the information processing device 20 via a communication network N. The communication network N may be a transmission path for wired communication, a transmission path for wireless communication (e.g., wireless LAN), or a combination of a transmission path for wired communication and a transmission path for wireless communication. The communication network N may be any of a mobile communication network such as a mobile phone line network, a wireless packet communication network, the Internet, and a dedicated line, or a combination thereof. For example, the communication network N may use a low-power wide-area network (LPWAN), or a short-range wireless communication standard such as ZigBee (registered trademark), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.
[0022] Multiple imaging devices 10 capture images of the interior of the elevator (ELV) and transmit the captured images to the information processing device 20 via the communication network N. The interior of the elevator (ELV) may be the entire interior or only a portion of it. The captured images may be still images or moving images. The multiple imaging devices 10 capture images of the interior of the elevator (ELV) at regular intervals and transmit the captured images to the information processing device 20.
[0023] The imaging range of the imaging device 10 in this embodiment may include the interior of the elevator, or it may include areas outside the interior of the elevator. As an example of this embodiment, at least one of the multiple imaging devices 10 installed in the elevator is installed such that its imaging range includes the area outside the elevator (for example, all or part of the elevator hall on a given floor) when the elevator stops on a certain floor and its doors open. For example, when the elevator doors open, the image captured by at least one of the multiple imaging devices 10 will show the elevator hall on that floor.
[0024] In the first embodiment, if the imaging device 10 is installed outside the elevator ELV, it is sufficient that it is installed in a position where it can image the inside of the elevator ELV when the elevator ELV doors are open.
[0025] The information processing device 20 is connected to multiple imaging devices 10 via a communication network N. The information processing device 20 receives and stores captured images in chronological order from each of the multiple imaging devices 10 via the communication network N. For example, the information processing device 20 is a computer. An example of the functional parts of the information processing device 20 in this embodiment will be described below.
[0026] The information processing device 20 includes a communication unit 30, a processing unit 31, and a storage unit 32.
[0027] The communication unit 30 communicates with multiple imaging devices 10 via the communication network N and receives captured images from the imaging devices 10.
[0028] The processing unit 31 acquires images captured by multiple imaging devices 10 in a time series via the communication unit 30.
[0029] The processing unit 31 identifies the amount of cargo to be delivered by the elevator ELV and the destination of the cargo based on information including the captured images taken by the imaging device 10. For example, the processing unit 31 measures the amount of cargo inside the elevator ELV based on information including the captured images taken by multiple imaging devices 10, and further identifies the destination of that cargo. For example, the cargo amount includes information on at least one of the following: the quantity of cargo (hereinafter referred to as "cargo quantity"), the size of the cargo, and the shape of the cargo. The destination indicates the place where the cargo is delivered, and in this embodiment, it indicates the floor where the cargo is delivered (hereinafter referred to as "delivery floor"). This destination is an example of information on logistics dynamics. Note that the cargo size may be information indicating a rough size of the cargo, such as "small," "medium," or "large."
[0030] For example, the processing unit 31 recognizes each cargo in the elevator ELV and detects the shape and size of each cargo by applying known image recognition processing (hereinafter referred to as "image recognition processing") to the captured image. For example, the processing unit 31 may detect the shape of the recognized cargo (such as a rectangular parallelepiped or an irregularly shaped object) and measure the size of each cargo by detecting the relative position coordinates of the cargo from the respective installation positions of the multiple imaging devices 10. When the method of measuring the size of cargo from each installation position is used, information on the installation positions of the imaging devices 10 in the elevator ELV is set in advance in the information processing device 20. Note that image recognition processing also includes AI-based image recognition.
[0031] The processing unit 31 measures the quantity of cargo inside the elevator based on the images captured by the multiple imaging devices 10. For example, by applying the image recognition process described above, the processing unit 31 can recognize each piece of cargo inside the elevator and measure the quantity of cargo inside the elevator. The processing unit 31 also measures the change in the quantity of cargo inside the elevator by applying the image recognition process described above to the captured images. The change in the quantity of cargo may be both an increase and a decrease in cargo, or either one. By measuring the change in the quantity of cargo inside the elevator based on the captured images, the processing unit 31 can detect the quantity of cargo delivered to the delivery floor.
[0032] As an example of a method for identifying the delivery floor, the processing unit 31 identifies the delivery floor based on the image of the elevator hall captured in the image. For example, the elevator halls on each floor of a building may have features that allow each floor to be identified. Features are information that allows each floor to be visually identified, such as designs such as colors, letters, shapes or combinations thereof (patterns, etc.), or objects that allow each floor to be identified or the arrangement of such objects. Therefore, the processing unit 31 may identify the delivery floor by applying the above image recognition processing to extract the features of the elevator hall from the captured image and determining which floor the extracted features belong to. For example, within the range that fits in the captured image, the elevator hall may have a floor number such as 1F as a feature, or markers with some color, such as yellow for 1F and blue for 2F, may be provided. Note that these features are an example of markers for identifying each floor (hereinafter referred to as "floor recognition markers"), and floor recognition markers are installed in the elevator hall within the range that fits in the image captured by the imaging device 10.
[0033] The processing unit 31 identifies the amount of cargo inside the elevator (ELV) and the destination of the cargo in chronological order based on information including the captured images taken by the multiple imaging devices 10.
[0034] The processing unit 31 stores the identified logistics information in the storage unit 32. Specifically, the processing unit 31 stores the cargo quantity of the identified cargo and the destination information of the cargo in the storage unit 32, associating them. Figure 2 shows an example of logistics information managed by the processing unit 31. In the example shown in Figure 2, the logistics information is information that associates the cargo number with cargo information. The cargo information is information about cargo, and is managed for each cargo. The cargo information includes the cargo quantity associated by the processing unit 31 and the destination information of the cargo. In this embodiment, cargo quantity refers to the amount of delivery cargo generated in in-house logistics, and is information measured from the imaging device 10 installed in the elevator ELV. Cargo information refers to the cargo quantity information for each cargo from the measured cargo quantity.
[0035] The cargo information is associated with the cargo number of the cargo identified by the processing unit 31. This cargo number is identification information that identifies each of the multiple cargoes recognized by the processing unit 31. For example, the cargo number is assigned by the processing unit 31.
[0036] Cargo information includes, for example, the delivery floor, delivery date and time, cargo arrival time, cargo volume, and delivery company information. However, cargo information only needs to include at least the delivery floor and cargo volume information; it does not need to include delivery company information. Furthermore, cargo information is not limited to delivery floor, delivery date and time, cargo arrival time, cargo volume, and delivery company information; it may also include other information related to the cargo.
[0037] The delivery date and time is the date and time (date and time) when the cargo was brought into the building. For example, the delivery date and time is the time when the cargo arrived at the location within the building where sorting, handling, and temporary storage of cargo takes place (hereinafter referred to as the "management center"). Alternatively, the delivery date and time may be the date and time when the cargo was brought from the management center to the elevator (ELV). In this case, the processing unit 31 detects the time when the cargo was brought into the elevator (ELV) based on the captured image.
[0038] The cargo arrival time is the time the cargo arrives at the distribution floor. Processing unit 31 may set the time at which the distribution floor of the cargo is identified as the cargo arrival time for that cargo.
[0039] Information about the delivery company, such as the name of the delivery company, is stored in the storage unit 32 in association with the cargo number. The processing unit 31 identifies the delivery company delivering the cargo from the captured image and stores the identified delivery company information in the storage unit 32 in association with the cargo number of the cargo. For example, the processing unit 31 extracts features of the delivery company's uniform and the cargo's packaging by applying the image recognition described above to the captured image. Then, the processing unit 31 identifies the delivery company delivering the cargo based on these extracted features.
[0040] The storage unit 32 stores logistics information as illustrated in Figure 2. For example, the storage unit 32 stores information that associates cargo numbers and cargo information for each cargo. The storage unit 32 may be a database in which cargo numbers and cargo information are associated for each cargo, or it may be a non-volatile information storage device such as a hard drive or solid-state drive that stores the database. The information stored in the storage unit 32 is readable from a specific external device (e.g., a personal computer or a mobile terminal).
[0041] The logistics management method using the logistics management system 100 according to this embodiment will be described below with reference to Figure 3. The logistics management method manages logistics information of goods delivered by in-building logistics within a building, and the logistics management system 100 is used. Figure 3 is a diagram illustrating the flow of the logistics management method according to this embodiment.
[0042] For example, cargo is brought into the building by a cargo vehicle and temporarily stored in a management center (e.g., B1F). The delivery company then transports the cargo from the management center to an elevator and delivers it to the delivery floor within the building.
[0043] The information processing device 20 receives captured images sequentially from multiple imaging devices 10. Figure 4 shows an example of an image captured by the imaging device 10 when cargo is loaded from the control center into the elevator ELV.
[0044] When the information processing device 20 receives an image related to the loading of goods as shown in Figure 4, it detects the loading of goods from B1F based on the image (step S101). If the information processing device 20 detects the loading of goods, it reads the time at that time as the loading time. The information processing device 20 then measures the amount of goods for each item based on the image and stores the loading time and amount for each item in the storage unit 32 (step S102). At this time, the information processing device 20 may also identify the delivery company of the goods from the image and store the information of the identified delivery company in the storage unit 32.
[0045] Here, let's assume that the cargo delivery floor is the 15th floor. When the elevator moves from B1F to the 15th floor and the elevator doors open on the 15th floor, the cargo is unloaded from the elevator by the delivery company. Figure 5 is an example of an image captured by the imaging device 10 when cargo is unloaded from the elevator to the delivery floor. When the information processing device 20 receives an image related to the unloading of cargo as shown in Figure 5, it detects the unloading of cargo based on the image (step S103). Then, the information processing device 20 identifies the delivery floor based on the image of the elevator hall captured in the image (step S104). For example, the information processing device 20 extracts the features of the elevator hall from the image of the elevator hall captured in the image. Then, the information processing device 20 compares the extracted features with the features of each floor of the building that are set in advance (hereinafter referred to as the "feature table"). In this feature table, floor information, which is information indicating which floor the floor is, and the features of that floor are associated for each floor. The information processing device 20 identifies the floor number of the delivery floor by locating the floor information corresponding to the extracted features from the feature table. The information processing device 20 also detects the time at which the delivery floor was identified as the cargo arrival time. The information processing device 20 stores the identified delivery floor information and cargo arrival time in the storage unit 32, associating them with information on each cargo delivered to that delivery floor (e.g., cargo number, cargo quantity, etc.) (step S105).
[0046] In this way, the logistics management system 100 identifies the quantity and destination of cargo delivered by elevators (for example, cargo inside elevators) based on information including captured images taken by multiple imaging devices 10 installed in the building, and manages each piece of cargo by associating the identified quantity with the destination information.
[0047] This configuration allows for the tracking of logistics information within existing buildings and enables centralized management of cargo information.
[0048] (Second embodiment) Next, we will describe the logistics management system 100A of the second embodiment. Figure 6 is a schematic diagram of the logistics management system 100A of the second embodiment.
[0049] The logistics management system 100A of the second embodiment differs from the first embodiment in that, in addition to the information shown in Figure 2, it also measures the weight of the cargo (hereinafter referred to as "cargo weight") as cargo information, while the other configurations are the same as those of the first embodiment. As shown in Figure 6, the logistics management system 100A of the first modified example is equipped with a plurality of imaging devices 10, an information processing device 20A, and a weight sensor 40.
[0050] The weight sensor 40 is installed inside the elevator (ELV) and is used to detect the weight of the cargo (hereinafter referred to as "cargo weight"). For example, a mat equipped with the weight sensor 40 (a mat with a gravity sensor) is laid inside the elevator (ELV). The weight sensor 40 transmits the sensor results to the information processing device 20A via the communication network N.
[0051] The information processing device 20A includes a communication unit 30, a processing unit 31A, and a storage unit 32.
[0052] The processing unit 31A has the same functions as the processing unit 31. In addition to the same functions as the processing unit 31, the processing unit 31A also measures the weight of the cargo based on sensor information from the weight sensor 40. The processing unit 31A may also measure the weight of the cargo using images captured by multiple imaging devices 10 in addition to the sensor information from the weight sensor 40. The processing unit 31A may store the cargo weight of the cargo to be delivered to the destination in the storage unit 32, associating it with the destination information of the cargo. This allows the information processing device 20A to centrally manage information about delivered cargo (logistics information), such as cargo size, cargo weight, and where the cargo is being delivered (destination).
[0053] Thus, the logistics management system A of the second embodiment can further contribute to the optimization design of in-building logistics by utilizing sensor information from the weight sensor 40 installed in the elevator ELV in the above embodiment to measure the weight of cargo.
[0054] In the first or second embodiment, the information stored in the storage unit 32 is accessible from a predetermined external device. For example, a person responsible for designing the transportation logistics of a building can read the logistics information associated with the cargo information and delivery destination stored in the storage unit 32 from their terminal (external device). In other words, the information processing devices 20 and 20A can output the logistics information stored in the storage unit 32 to a predetermined external device via wired or wireless connection.
[0055] Figure 7 schematically shows an example of the hardware configuration of a computer 1000 that functions as a communication unit 30, a processing unit 31 (processing unit 31A), and a storage unit 32 of the information processing devices 20, 20A. A program installed on the computer 1000 can cause the computer 1000 to function as one or more "parts" of the device according to this embodiment, or to cause the computer 1000 to execute operations associated with the device according to this embodiment or such one or more "parts", and / or to cause the computer 1000 to execute a process or a stage of such process according to this embodiment. Such a program may be executed by the CPU 1010 to cause the computer 1000 to execute specific operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.
[0056] The embodiment shown in Figure 7 includes a processor 1010, memory 1020, storage device 1030, input device 1040, output device 1050, and external device interface 1060. In some embodiments, part or all of the computer 1000 is implemented as a system-on-a-chip.
[0057] The processor 1010 is capable of executing the program stored in memory 1020 and performing the operations described by the program. For example, the processor 1010 may be a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). The processing unit 31 or processing unit 31A may be the processor 1010, or it may be realized by the processor 1010 executing a program (software) stored in memory 1020.
[0058] The storage device 1030 may be a non-volatile information storage device such as a hard drive or a solid-state drive. For example, the storage device 1030 is the storage unit 32.
[0059] The input device 1040 may include any type of human-machine interface, such as buttons, switches, motion-sensitive controllers, keyboards, mice, touchscreen input devices, gesture input devices, or voice input devices (e.g., microphones).
[0060] The output device 1050 may include any type of device capable of providing a display of the operating status to the user, such as a display device of the information processing device 20 or an audio output device (e.g., a speaker).
[0061] The external device interface 1060 is a wired or wireless interface using any type of protocol. For example, the external device interface 1060 includes a wired or wireless connection to the LRF 10 for acquiring sensor data. The external device interface 1060 also includes a wired or wireless connection to a predetermined communication terminal for transmitting information stored in the storage unit 32 to said communication terminal.
[0062] The program may be provided on a computer-readable storage medium. The program is read from the computer-readable storage medium and installed in a storage device 1030, memory 1020, which is an example of a computer-readable storage medium, and executed by the processor 1010. The information processing described within these programs is read by the computer 1000, resulting in coordination between the program and the various types of hardware resources described above. The apparatus or method may be configured to realize the operation or processing of information in accordance with the use of the computer 1000.
[0063] Computer-readable media may include any tangible device capable of storing instructions to be executed by a suitable device, and as a result, computer-readable media having instructions stored therein will comprise a product containing instructions that can be executed to create means for performing operations specified in a flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, etc. More specific examples of computer-readable media may include floppy disks, diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), electrically erasable programmable read-only memory (EEPROM), static random access memory (SRAM), compact disk read-only memory (CD-ROM), digital versatile disk (DVD), Blu-ray (RTM) disk, memory stick, integrated circuit card, etc.
[0064] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above embodiments. Furthermore, within the scope that does not contradict the technical aspects, matters described for a particular embodiment can be applied to other embodiments. In addition, each component may have the same name but different reference numerals as other components. It will be clear from the claims that such modified or improved forms may also be included within the technical scope of the present invention.
[0065] (First variation) In the logistics management system of the first or second embodiment, if tracking of goods is difficult due to deliveries spanning multiple floors, the system may utilize image processing technology and the weight sensor 40 to track the delivered goods. For example, in the case of deliveries on a floor-by-floor basis or spanning multiple floors, the processing units 31 and 31A may utilize image processing technology and the weight sensor 40 to measure the change in the delivered goods and track the goods. The change in the delivered goods is at least one of the change in the quantity of goods and the change in the weight of goods.
[0066] (Second variation) The logistics management system of the first or second embodiment may generate unit cost data for cargo information based on cargo information. The unit cost data is stored in the storage unit 32. The unit cost data is the amount of cargo generated per unit time for each type of floor space. For example, the processing units 31 and 31A generate unit cost data for cargo size and cargo quantity. As an example, the processing units 31 and 31A may measure the cargo quantity and the change in cargo quantity from the captured image and generate unit cost data for cargo quantity based on the cargo quantity and the change in cargo quantity. The processing units 31 and 31A may also use the sensor results of the weight sensor 40 when measuring the cargo quantity and the change in cargo quantity.
[0067] (Third variation) Multiple imaging devices 10 captured images of the interior of the elevator ELV, but are not limited to this. For example, multiple imaging devices 10 may be installed outside the elevator ELV and capture information about cargo being loaded into the elevator ELV (an example of cargo delivered by elevator) and cargo being unloaded from the elevator ELV. In this case, destination information may be identified from the installation location of the imaging devices 10, or it may be identified from the captured images by the method described in the first embodiment. For example, cargo information for cargo delivered by elevator ELV may be identified by captured images of cargo inside the elevator ELV, or by captured images of cargo being loaded into or unloaded from the elevator ELV, or both.
[0068] Furthermore, the term "...part" as used in the specification means a unit that processes at least one function or operation, which may be embodied as hardware or software, or as a combination of hardware and software. [Explanation of Symbols]
[0069] 100...Logistics management system, 10...Imaging device, 20...Information processing device, 30...Communication unit, 31...Processing unit, 32...Storage unit
Claims
1. An imaging device installed inside the building, A processing unit that identifies the quantity of cargo to be delivered by elevator and the destination of the cargo based on information including the captured image taken by the imaging device, and associates the identified quantity of cargo with the information of the destination of the cargo, Equipped with, The processing unit extracts feature quantities that can identify each floor from the elevator hall on each floor of the building based on the captured image, and identifies the delivery destination by determining which floor the extracted feature quantities belong to.
2. The amount of the cargo includes information on at least one of the quantity of the cargo, the size of the cargo, and the shape of the cargo. The logistics management system according to claim 1.
3. The processing unit associates, for each shipment, at least the size of the shipment and the destination of the shipment, among the total amount of the shipment. A logistics management system according to claim 1 or 2.
4. The elevator is equipped with a weight sensor located inside the elevator, The processing unit identifies the weight of the cargo to be delivered to the delivery destination and the delivery destination of the cargo based on the information from the weight sensor and the image from the imaging device, and associates the identified delivery destination with the weight of the cargo to be delivered to that delivery destination. A logistics management system according to claim 1 or 2.
5. The processing unit generates unit data, which is the amount of cargo generated per unit time, based on the amount of cargo. A logistics management system according to any one of claims 1 to 3.
6. A logistics management method for an information processing device that manages information on delivery cargo generated within a building, A step of identifying the quantity of goods to be delivered by elevator and the destination of the goods based on information including captured images obtained from an imaging device installed in the building, A step of associating the identified cargo quantity with the delivery destination information, Includes, A logistics management method for identifying a delivery destination, wherein in the step of identifying the delivery destination, the method extracts feature quantities that can identify each floor from the elevator hall on each floor of the building based on the captured image, and determines which floor the extracted feature quantities belong to, thereby identifying the delivery destination.
7. A program executed in an information processing device that manages information on delivery cargo generated within a building, Based on information including captured images obtained from an imaging device installed in the building, the quantity of goods to be delivered by elevator and the destination of the goods to be delivered are identified. The identified cargo quantity is associated with the delivery destination information. A program that identifies the delivery destination by extracting feature quantities that can identify each floor from the elevator hall on each floor of the building based on the captured image, and by determining which floor the extracted feature quantities belong to.
8. An imaging device installed inside the building, A processing unit that identifies the quantity of cargo to be delivered by elevator and the destination of the cargo based on information including the captured image taken by the imaging device, and associates the identified quantity of cargo with the information of the destination of the cargo, Equipped with, The elevator is equipped with a weight sensor located inside the elevator, The processing unit identifies the weight of the cargo to be delivered to the delivery destination and the delivery destination of the cargo based on information from the weight sensor and the image from the imaging device, and associates the identified delivery destination with the weight of the cargo to be delivered to that destination.
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