KR20170026805A - Smart loading assistance system and method thereof - Google Patents

Smart loading assistance system and method thereof Download PDF

Info

Publication number
KR20170026805A
KR20170026805A KR1020150121759A KR20150121759A KR20170026805A KR 20170026805 A KR20170026805 A KR 20170026805A KR 1020150121759 A KR1020150121759 A KR 1020150121759A KR 20150121759 A KR20150121759 A KR 20150121759A KR 20170026805 A KR20170026805 A KR 20170026805A
Authority
KR
South Korea
Prior art keywords
loading
space
image
loading space
cargo
Prior art date
Application number
KR1020150121759A
Other languages
Korean (ko)
Inventor
신동렬
김다연
얼 김
채윤주
Original Assignee
성균관대학교산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 성균관대학교산학협력단 filed Critical 성균관대학교산학협력단
Priority to KR1020150121759A priority Critical patent/KR20170026805A/en
Publication of KR20170026805A publication Critical patent/KR20170026805A/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Computer Graphics (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The intelligent logistics support system of the present invention comprises a first camera for generating a loading space image of a loading space and a load space inside a container at a container entrance, a first camera for generating a loading space image taken on a conveyor belt, A second camera for capturing a cargo image and identifying a size of the cargo from the cargo image; identifying a state in which the cargo is already loaded in the loading space from the loading space image and a remaining space; A loading position plan generating unit for generating loading position planning information about a position where the transportation freight can be loaded and a virtual loading space corresponding to the loading space are created and a virtual object corresponding to the size of the identified transportation freight is created In the virtual loading space according to the location scheme information, And an augmented reality image generation unit for generating an augmented reality loading space image by combining a virtual loading space image visualized by looking at the virtual loading space at the time of the operation and a loading space image and displaying the augmented reality loading space image on a display device .

Description

TECHNICAL FIELD [0001] The present invention relates to an intelligent logistics loading assistance system,

The present invention relates to a logistics loading system.

As Internet commerce is rapidly becoming common, the volume of freight using courier services is rapidly increasing. Unlike the industrial logistics distribution system, the courier service treats unstructured items, so the logistics cost and delivery time may vary depending on how quickly, efficiently, and efficiently each of these various sizes is carried.

Conventionally, logistics loading systems adopted by courier companies are fundamentally conveying belts of cargo boxes to the cargo container entrance basically, and depend on the personal ability of skilled workers to build up cargo boxes with experience and sense. Therefore, it is difficult to standardize the workload and the inefficiency.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an intelligent logistics support system and method.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an intelligent logistics support system capable of improving the efficiency without depending on an operator's experience or sensibility by mechanically analyzing the size and volume of cargoes to determine an optimal loading position for each cargo. And a method therefor.

The solution to the problem of the present invention is not limited to those mentioned above, and other solutions not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided an intelligent logistics support system comprising: a first camera for generating a loading space image of a loading space inside a container at a container entrance; A second camera for photographing the cargoes being transported on the conveyor belt installed to transport the cargo to the entrance of the container to generate a cargo image; Identifying a size of the transported cargo from the cargo image, identifying a state in which the cargoes have already been loaded into the loading space from the loaded space image and a remaining space, and loading the identified transported cargo of a size in the remaining space A loading position plan generating unit for generating loading position planning information about a position where the loading position planning information can be obtained; And a virtual loading space corresponding to the loading space is created and a virtual object corresponding to the size of the identified transportation loading is arranged in the virtual loading space according to the generated loading position planning information, An augmented reality image generation unit for generating augmented reality loading space image by combining a virtual loading space image visualized by looking at the virtual loading space at the time point with the loading space image and displaying the augmented reality loading space image on a display device; .

According to one embodiment, the load position generator may be operable to determine a loadable position in the remaining space with respect to one transport cargo at a time in the order in which the identified transport cargo arrives at the container entrance.

According to one embodiment, the loading position plan generation unit may be configured to calculate the position of the transportation cargo in accordance with the combination of positions making the surplus space smallest among combinations of positions that can arrange all of the identified transportation cargoes together in the remaining space. Lt; RTI ID = 0.0 > position. ≪ / RTI >

According to another aspect of the present invention, there is provided a computer-assisted intelligent logistics load assisting method comprising the steps of: acquiring a loading space image of a loading space and a load of a container inside a container by a first camera at a container entrance; Obtaining a cargo image photographed by a second camera on cargoes being transported on a conveyor belt installed to transport cargo to the container entrance; Identifying a size of the shipment from the shipment image; Identifying a state in which the loads are already loaded and a remaining space in the loading space from the loading space image; Generating loading position plan information about a position at which the transportation cargo whose size is identified in the remaining space can be loaded; A virtual loading space corresponding to the loading space is created and a virtual object corresponding to the size of the identified transportation loading is arranged in the virtual loading space according to the loading position planning information, Creating a virtual loading space image by visualizing the virtual loading space as viewed from the virtual loading space; And combining the virtual load space image with the load space image to generate an augmented reality load space image, and displaying the augmented reality load space image on a display device.

According to one embodiment, generating the load location plan information comprises determining a loadable location in the remaining space with respect to one transport cargo at a time in the order in which the identified transport cargo arrives at the container entrance .

According to one embodiment, the step of generating the loading position plan information may comprise the step of selecting, based on the combination of positions making the surplus space the smallest among combinations of locations capable of placing all of the identified transported cargoes together in the remaining space , And determining a loadable position of the transportation cargo.

According to the intelligent logistics support system and method of the present invention, the size and volume of the cargoes are mechanically analyzed to determine the optimal loading position for each cargo, thereby improving the efficiency without depending on the experience or the sense of the operator .

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram illustrating an intelligent logistics support system according to an embodiment of the present invention.
2 is a flowchart illustrating an intelligent logistics assisting method according to an embodiment of the present invention.

For the embodiments of the invention disclosed herein, specific structural and functional descriptions are set forth for the purpose of describing an embodiment of the invention only, and it is to be understood that the embodiments of the invention may be practiced in various forms, The present invention should not be construed as limited to the embodiments described in Figs.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The same reference numerals are used for the same constituent elements in the drawings and redundant explanations for the same constituent elements are omitted.

1 is a conceptual diagram illustrating an intelligent logistics support system according to an embodiment of the present invention.

1, the intelligent logistics support system 10 includes a first camera 11, a second camera 12, a loading position plan generating unit 131, and an augmented reality image generating unit 132, An auxiliary server 13 and a display device 14. [

The first camera 11 can generate a loading space image of the loading space inside the container 15 and the loading cargoes 16 at the entrance of the container 15. [

For example, by setting specific markers at predetermined points in the container 15, the loading space inside the container 15 among the loaded space images can be specified.

The second camera 12 may capture the transport cargoes 18 and 19 being transported on the conveyor belt 17 installed to transport the cargo to the entrance of the container 15 to generate the cargo image.

The load assisting server 13 can visualize the loading position scheme for suggesting to the operator how to load the cargo in the space inside the container 15 and the loading position scheme to make it an augmented reality image.

Specifically, the loading assist server 13 may include a loading position plan generating unit 131 and an augmented reality image generating unit 132.

The loading position plan generation unit 131 identifies the size of each transportation cargo 18, 19 from the cargo image provided by the second camera 12.

In general, the cargo may be of various sizes, and may be in the form of a rectangular parallelepiped box, although some of the cargo may be of an atypical shape, such as a grain pulley. While the rectangular box is transported on the conveyor belt 17, It is assumed that the side, the longitudinal side, and the top side contacting with the conveying belt 17 are moved back on the conveyor belt 17 stably without being reversed. It is also assumed that the color of the rectangular parallelepiped boxes can be sufficiently distinguished from the color of the conveyor belt 17 under constant illumination. Under this assumption, from the cargo image, the height, height, and height of the cargo can be accurately and accurately identified.

Further, the loading position plan generating unit 131 may generate a loading position image from the loading space image provided by the first camera 11 in a state in which the loading cargo 16 is already loaded in the loading space inside the container 15, Space can be identified.

Accordingly, the loading position plan generating unit 131 can generate loading position planning information regarding a position where the size of the identified transportation freight 18 can be loaded in the remaining remaining space.

Specifically, the loading position plan generation unit 131 tests whether the transportation cargo 18 is loadable with respect to various positions where the cargo can be loaded in the remaining space, based on the identified size of the transportation cargo 18, According to the test result, one of the loadable positions can be selected to determine the load position plan information.

According to the embodiment, the loading position plan generating unit 131 generates a position control command for one transportation cargo 18 at a time in the order in which the identified freight cargo 18, 19 reaches the entrance of the container 15 It is possible to determine a loadable position in the remaining space.

This is an embodiment in which a loadable position is determined for such a situation, since one worker will usually load one cargo 18 at a time in the order in which they are transported along the conveyor belt 17.

According to the embodiment, the loading position plan generation unit 131 generates positions of positions in which the surplus space is the smallest among the combinations of positions capable of disposing all of the identified transportation cargoes 18 and 19 together in the remaining space Depending on the combination, the loadable position of each transport cargo 18, 19 can be determined.

Since there will be a combination of locations that can be arranged more appropriately than in the previous embodiment when the cargoes 18,19 of varying sizes are transported along the conveyor belt 17 at approximately the same time, It is possible.

Finally, the augmented reality image generating unit 132 generates a virtual loading space corresponding to the loading space, arranges the virtual objects corresponding to the size of the identified transportation loading in the virtual loading space according to the generated loading position planning information , The virtual loading space image can be generated by visualizing the virtual loading space at the same time as the first camera 11.

Then, the augmented reality image generation unit 132 may generate the augmented reality loading space image by combining the virtual space space image with the loading space image acquired by the first camera 11.

The augmented reality image generating unit 132 may display the augmented reality loading space image on the display device 14.

At this time, the display device 14 refers to the augmented reality loading space image immediately before the operator carries the transportation cargo 18, and displays the image of the augmented reality loading space in the vicinity of the end point of the conveyor belt 17 Can be installed.

According to an embodiment, the display device 14 is embodied as a head-mounted display worn by an operator on the head, and when the view of the operator is directed toward the conveyor belt 17 and towards the loading space of the container 15, A spatial image can be provided to the operator.

2 is a flowchart illustrating an intelligent logistics assisting method according to an embodiment of the present invention.

2, a computer-assisted intelligent logistics assisting method according to the present invention comprises the steps of: (a) storing, in a step S21, a loading space inside a container 15 by a first camera 11 installed at an entrance of a container 15; It may be possible to start from the step of acquiring the load space image on which the load cargoes 16 are photographed.

In step S22, the computer carries the cargo images 18, 19 being transported on the conveyor belt 17 installed to transport the cargo to the entrance of the container 15, Can be obtained.

In step S23, the computer can identify the size of the shipment from the shipment image.

In step S24, the computer can identify the state and remaining space in which the loaded cargoes 16 have already been loaded into the loading space from the loading space image.

In step S25, the computer can generate loading position plan information about a position at which the size of the identified freight 18, 19 can be loaded in the remaining space.

Depending on the embodiment, step S25 is performed in such a manner that the computer can move the remaining freight 18,19 with respect to one transport cargo 18,19 at a time in the order in which the identified freight 18,19 reaches the entrance of the container 15. [ And determining a loadable position among the plurality of positions.

Depending on the embodiment, step S25 may be performed according to a combination of positions that make the surplus space smallest among the combinations of locations where the computer can place all of the identified freight 18,19 together in the remaining space, And determining a loadable position of the transportation cargo 18, 19.

Then, in step S26, the computer creates a virtual loading space corresponding to the loading space, and creates a virtual object corresponding to the size of the identified transportation cargo 18, 19 in the virtual loading space according to the created loading position scheme information And a virtual loading space image can be generated by visualizing the virtual loading space at the same time as the first camera 11.

Finally, in step S27, the computer may combine the virtual load space image with the load space image to generate an augmented reality load space image and display it on the display device 14. [

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. It will be understood that variations and specific embodiments which may occur to those skilled in the art are included within the scope of the present invention.

Further, the apparatus according to the present invention can be implemented as a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the recording medium include ROM, RAM, optical disk, magnetic tape, floppy disk, hard disk, nonvolatile memory and the like. The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

10 Intelligent logistics support system
11 First camera
12 Second camera
13 Load Auxiliary Server
131 stacking position plan generating unit
132 augmented reality image generation unit
14 display device
15 containers
16 Loaded cargo
17 Conveyor belt
18, 19 Freight in transit

Claims (6)

A first camera for generating a loading space image of a loading space inside the container at the entrance of the container and an image of the loaded objects;
A second camera for photographing the cargoes being transported on the conveyor belt installed to transport the cargo to the entrance of the container to generate a cargo image;
Identifying a size of the transported cargo from the cargo image, identifying a state in which the cargoes have already been loaded into the loading space from the loaded space image and a remaining space, and loading the identified transported cargo of a size in the remaining space A loading position plan generating unit for generating loading position planning information about a position where the loading position planning information can be obtained; And
A virtual loading space corresponding to the loading space is created and a virtual object corresponding to the size of the identified transportation loading is arranged in the virtual loading space according to the loading position planning information, An augmented reality image generation unit for generating an augmented reality loading space image by combining a virtual loading space image visualized by looking at the virtual loading space at the loading space image and the loading space image and displaying the augmented reality loading space image on a display device Intelligent Logistics Loading System. The apparatus according to claim 1, wherein the loading position plan generating unit
And operable to determine a loadable position in the remaining space with respect to one transported cargo at a time in the order in which the identified transported cargo arrives at the container entrance. The apparatus according to claim 1, wherein the loading position plan generating unit
And to determine a loadable position of the transportation cargo according to a combination of positions making the surplus space the smallest among combinations of locations capable of placing all of the identified transportation cargoes together in the remaining space Intelligent Logistics Loading System. As an intelligent logistics support method using a computer,
The computer comprising:
Acquiring a loading space inside the container and a loading space image taken by the first camera at the entrance of the container;
Obtaining a cargo image photographed by a second camera on cargoes being transported on a conveyor belt installed to transport cargo to the container entrance;
Identifying a size of the shipment from the shipment image;
Identifying a state in which the loads are already loaded and a remaining space in the loading space from the loading space image;
Generating loading position plan information about a position at which the transportation cargo whose size is identified in the remaining space can be loaded;
A virtual loading space corresponding to the loading space is created and a virtual object corresponding to the size of the identified transportation loading is arranged in the virtual loading space according to the loading position planning information, Creating a virtual loading space image by visualizing the virtual loading space as viewed from the virtual loading space; And
Combining the virtual load space image with the load space image to generate an augmented reality load space image, and displaying the augmented reality load space image on a display device. 5. The method of claim 4, wherein generating the load location scheme information comprises:
And determining a loadable position in the remaining space with respect to one transport cargo at a time in the order in which the identified transport cargo arrives at the container entrance. 5. The method of claim 4, wherein generating the load location scheme information comprises:
And determining the loadable position of the freight cargo according to a combination of positions making the surplus space the smallest among the combinations of locations capable of placing all of the identified freight cargoes together in the remaining space Intelligent logistics load assisting method characterized by.
KR1020150121759A 2015-08-28 2015-08-28 Smart loading assistance system and method thereof KR20170026805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150121759A KR20170026805A (en) 2015-08-28 2015-08-28 Smart loading assistance system and method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150121759A KR20170026805A (en) 2015-08-28 2015-08-28 Smart loading assistance system and method thereof

Publications (1)

Publication Number Publication Date
KR20170026805A true KR20170026805A (en) 2017-03-09

Family

ID=58402248

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150121759A KR20170026805A (en) 2015-08-28 2015-08-28 Smart loading assistance system and method thereof

Country Status (1)

Country Link
KR (1) KR20170026805A (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101992414B1 (en) * 2019-02-19 2019-06-24 정승범 System and method for automatically calculating freight cost estimate
WO2019136369A1 (en) * 2018-01-05 2019-07-11 Uber Technologies, Inc. Network computer system to evaluate freight loads
KR20200112023A (en) * 2019-03-20 2020-10-05 구승연 Charnel house management system and method
CN112200971A (en) * 2020-09-10 2021-01-08 苏宁云计算有限公司 Unmanned goods shop
US10896401B2 (en) 2017-01-23 2021-01-19 Uber Technologies, Inc. Coordinating shipments on freight vehicles
CN112607234A (en) * 2020-12-30 2021-04-06 武汉理工大学 Three-dimensional cargo packing method for combined container
CN112927285A (en) * 2019-12-06 2021-06-08 丰田自动车株式会社 Loading determination system, loading determination method, and non-transitory storage medium
KR20210098069A (en) * 2020-01-31 2021-08-10 이현관 A method of delivery logistics and a device thereof
KR20210114656A (en) 2020-03-11 2021-09-24 (주) 에이프로 UV sterilization unit for a shipping object applied to a distribution center
US11138435B1 (en) 2020-05-01 2021-10-05 Volvo Car Corporation Methods and systems for evaluating the capacity of a container
US11155263B2 (en) 2019-03-08 2021-10-26 Uber Technologies, Inc. Network computer system to control freight vehicle operation configurations
US11176822B2 (en) 2017-10-25 2021-11-16 Uber Technologies, Inc. Network computer system to evaluate an operator of a freight vehicle
US11250372B2 (en) 2017-09-22 2022-02-15 Uber Technologies, Inc Freight network system using modularized trailers
GB2598133A (en) * 2020-08-20 2022-02-23 Daimler Ag A cargo tracking system for tracking a cargo, as well as a corresponding method
US11392881B2 (en) 2018-04-16 2022-07-19 Uber Technologies, Inc. Freight vehicle matching and operation
KR102494699B1 (en) * 2022-05-02 2023-02-06 (주)원제로소프트 Fulfillment system capable of linking video and product information
KR102547258B1 (en) 2023-02-13 2023-06-23 (주)지엠디 Method, device and system for providing loading optimization information and identifying location within loading space of shipment for logistics processing based on artificial intelligence model

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10896401B2 (en) 2017-01-23 2021-01-19 Uber Technologies, Inc. Coordinating shipments on freight vehicles
US10977604B2 (en) 2017-01-23 2021-04-13 Uber Technologies, Inc. Systems for routing and controlling vehicles for freight
US11995602B2 (en) 2017-09-22 2024-05-28 Uber Technologies, Inc. Freight network system using modularized trailers
US11250372B2 (en) 2017-09-22 2022-02-15 Uber Technologies, Inc Freight network system using modularized trailers
US11176822B2 (en) 2017-10-25 2021-11-16 Uber Technologies, Inc. Network computer system to evaluate an operator of a freight vehicle
US11727803B2 (en) 2017-10-25 2023-08-15 Uber Technologies, Inc. Network computer system to evaluate an operator of a freight vehicle
WO2019136369A1 (en) * 2018-01-05 2019-07-11 Uber Technologies, Inc. Network computer system to evaluate freight loads
US11392881B2 (en) 2018-04-16 2022-07-19 Uber Technologies, Inc. Freight vehicle matching and operation
KR101992414B1 (en) * 2019-02-19 2019-06-24 정승범 System and method for automatically calculating freight cost estimate
US11155263B2 (en) 2019-03-08 2021-10-26 Uber Technologies, Inc. Network computer system to control freight vehicle operation configurations
US11760352B2 (en) 2019-03-08 2023-09-19 Uber Technologies, Inc. Network computer system to control freight vehicle operation configurations
KR20200112023A (en) * 2019-03-20 2020-10-05 구승연 Charnel house management system and method
CN112927285B (en) * 2019-12-06 2024-02-02 丰田自动车株式会社 Loading determination system, loading determination method, and non-transitory storage medium
CN112927285A (en) * 2019-12-06 2021-06-08 丰田自动车株式会社 Loading determination system, loading determination method, and non-transitory storage medium
KR20210098069A (en) * 2020-01-31 2021-08-10 이현관 A method of delivery logistics and a device thereof
KR20210114656A (en) 2020-03-11 2021-09-24 (주) 에이프로 UV sterilization unit for a shipping object applied to a distribution center
US11138435B1 (en) 2020-05-01 2021-10-05 Volvo Car Corporation Methods and systems for evaluating the capacity of a container
US11508152B2 (en) 2020-05-01 2022-11-22 Volvo Car Corporation Methods and systems for evaluating the capacity of a container
GB2598133A (en) * 2020-08-20 2022-02-23 Daimler Ag A cargo tracking system for tracking a cargo, as well as a corresponding method
WO2022037827A1 (en) * 2020-08-20 2022-02-24 Daimler Ag A cargo tracking system for tracking a cargo, as well as a corresponding method
CN112200971A (en) * 2020-09-10 2021-01-08 苏宁云计算有限公司 Unmanned goods shop
CN112607234A (en) * 2020-12-30 2021-04-06 武汉理工大学 Three-dimensional cargo packing method for combined container
CN112607234B (en) * 2020-12-30 2022-01-04 武汉理工大学 Three-dimensional cargo packing method for combined container
KR102494699B1 (en) * 2022-05-02 2023-02-06 (주)원제로소프트 Fulfillment system capable of linking video and product information
KR102547258B1 (en) 2023-02-13 2023-06-23 (주)지엠디 Method, device and system for providing loading optimization information and identifying location within loading space of shipment for logistics processing based on artificial intelligence model

Similar Documents

Publication Publication Date Title
KR20170026805A (en) Smart loading assistance system and method thereof
CN109844807B (en) Method, system and apparatus for segmenting and sizing objects
US10161746B2 (en) Systems and methods for cargo management
US10815080B2 (en) Automatic truck loading and unloading system
JP6605711B2 (en) Measuring system and measuring method
KR20170101555A (en) Goods loading system using 3d camera and bigdata system, and thereof method
US20150130592A1 (en) Package-loading system
US20180082249A1 (en) Autonomous Vehicle Content Identification System and Associated Methods
CA2485660A1 (en) Systems and methods for package sortation and delivery using radio frequency identification technology
KR20070114374A (en) Stowage information creating device, stowage information creating method using same, method of landing cargo in transport container, distribution management system, computer-readable storage medium used for them, and program
EP3702985A1 (en) Augmented reality enabled cargo loading optimization
JP2017019586A (en) Physical distribution system and physical distribution management method
US20160368643A1 (en) Package sorting, packing and re-weighing system
WO2016158438A1 (en) Inspection processing apparatus, method, and program
JP2013067499A (en) Article inspection device, article inspection system, article inspection method, and program
WO2019172194A1 (en) Stowage planning device, stowage planning method, and recording medium
JP2017171443A5 (en)
JP2020064334A (en) Label reading system
JP6888349B2 (en) Accumulation management device, integration management method, program, integration management system
JP7360768B2 (en) Placement support system, placement support method, and program
KR20210069917A (en) Apparatus for commodity picking and packing in warehouse management and method thereof
EP3689791A1 (en) Projection instruction device, package sorting system, and projection instruction method
CN107407930A (en) Operation indicates system
JP6728995B2 (en) Automated warehouse system and automated warehouse management method
JP7421925B2 (en) Information processing device, information processing method, and program