CN113065817A - Intelligent warehouse-in and warehouse-out data management method and system, storage medium and terminal - Google Patents
Intelligent warehouse-in and warehouse-out data management method and system, storage medium and terminal Download PDFInfo
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- CN113065817A CN113065817A CN202110282453.8A CN202110282453A CN113065817A CN 113065817 A CN113065817 A CN 113065817A CN 202110282453 A CN202110282453 A CN 202110282453A CN 113065817 A CN113065817 A CN 113065817A
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- G—PHYSICS
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
- G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
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- 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
Abstract
The invention provides an intelligent warehouse-in and warehouse-out data management method, a system, a storage medium and a terminal, comprising the following steps: constructing an object identification model for goods and forklifts in a warehouse; constructing an action recognition model for the warehouse entry and exit actions of the goods and the forklift; acquiring a real-time video of the warehouse; and acquiring cargo in-out database data in the real-time video based on the object recognition model and the action recognition model. According to the intelligent warehouse-in and warehouse-out data management method, system, storage medium and terminal, through intelligent video identification and forklift goods tracking detection, warehouse-in and warehouse-out behaviors of goods in a warehousing environment can be acquired in real time, and accuracy and high efficiency are achieved.
Description
Technical Field
The invention relates to the technical field of data verification, in particular to an intelligent warehouse-in/warehouse-out data management method, a system, a storage medium and a terminal.
Background
The Internet of Things (The Internet of Things, IOT for short) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and to realize ubiquitous connection of objects and people through various possible network accesses, so as to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
At present, the technology of internet of things has penetrated into a plurality of industries of society as an important component of a new generation of information technology. However, an effective internet of things supervision means is lacked for goods supervision in the bulk industry, particularly the non-ferrous metal industry. In the nonferrous metal storage environment, the RFID technology is generally adopted, and the technology has the following defects:
(1) the anti-interference performance is poor, the cost is high, the false alarm rate is high, and the manual operation efficiency is low;
(2) the RFID data is taken from a storage system and cannot be completely trusted by a sponsor, so that the industrial pain point that the nonferrous metal warehouse list is difficult to pledge is caused.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide an intelligent warehouse entry and exit data management method, system, storage medium and terminal, which can obtain the warehouse entry and exit behavior of the goods in the warehousing environment in real time through intelligent video identification and forklift goods tracking detection, and is accurate and efficient.
In order to achieve the above objects and other related objects, the present invention provides an intelligent warehouse entry and exit data management method, which comprises the following steps: constructing an object identification model for goods and forklifts in a warehouse; constructing an action recognition model for the warehouse entry and exit actions of the goods and the forklift; acquiring a real-time video of the warehouse; and acquiring cargo in-out database data in the real-time video based on the object recognition model and the action recognition model.
In an embodiment of the present invention, the warehouse entry and exit actions include truck entry, cargo weighing, truck loading cargo warehousing, and truck loading cargo unloading.
In an embodiment of the present invention, the acquiring the cargo warehousing data in the real-time video based on the object recognition model and the motion recognition model includes the following steps:
converting the real-time video into a scenic AI video stream;
identifying cargo information and forklift information in the AI video stream based on the object identification model;
identifying the action information of the goods and the forklift in the AI video stream based on the action identification model;
and generating the cargo in-out warehouse data based on the cargo information, the forklift information and the action information.
In an embodiment of the present invention, the data of the goods entering and exiting the warehouse includes warehousing/exiting actions, goods types, goods quantity, warehousing/exiting warehouse locations, and warehousing/exiting time.
In an embodiment of the present invention, the method further includes obtaining entry and exit database, and comparing the entry and exit database with the cargo entry and exit database to realize verification.
In an embodiment of the present invention, the method further includes dividing and storing the goods warehouse-in and warehouse-out data.
Correspondingly, the invention provides an intelligent warehouse-in and warehouse-out data management system, which comprises a first construction module, a second construction module, an acquisition module and an identification module;
the first building module is used for building an object identification model for goods and forklifts in the warehouse;
the second construction module is used for constructing an action recognition model for the warehouse entry and exit actions of goods and a forklift;
the acquisition module is used for acquiring a real-time video of the warehouse;
the identification module is used for acquiring cargo in-out database data in the real-time video based on the object identification model and the action identification model.
The invention provides a storage medium on which a computer program is stored, which when executed by a processor implements the above-described intelligent in-out data management method.
The invention provides an intelligent warehouse-in and warehouse-out data management terminal, which comprises: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so as to enable the intelligent warehouse-in/out data management terminal to execute the intelligent warehouse-in/out data management method.
Finally, the invention provides an intelligent warehouse-in and warehouse-out data management system, which comprises the intelligent warehouse-in and warehouse-out data management terminal and a warehouse monitoring camera device;
the warehouse monitoring camera device is used for generating a real-time video of a warehouse and sending the real-time video to the intelligent warehouse-in and warehouse-out data management terminal.
As described above, the intelligent warehouse-in/warehouse-out data management method, system, storage medium and terminal of the present invention have the following beneficial effects:
(1) through intelligent video identification and forklift goods tracking detection, the warehouse-in and warehouse-out behaviors in the warehousing environment can be monitored, captured, identified and analyzed in real time, so that a set of warehouse-in and warehouse-out internet-of-things data completely independent of any third party is provided for goods right persons, quality right persons and warehousing logistics mechanisms, and the reliability is high;
(2) the authenticity of the warehousing and leaving data of the warehousing system can be verified, complete and credible warehousing and leaving note Internet of things traceability information is provided for the warrant holder for the mortgage, the transaction and the like, and the authenticity and the validity of the physical information of the goods corresponding to the warehousing and leaving note are ensured;
(3) the warehouse system has the characteristics of high intelligence, visual scene and no sensitivity in operation, the warehouse mechanism only needs to multiplex the existing camera to complete hardware deployment, the cost is low, and the practicability is high.
Drawings
FIG. 1 is a flowchart illustrating an exemplary method for intelligent warehouse entry/exit data management according to the present invention;
fig. 2 is a schematic structural diagram of an intelligent warehouse entry and exit data management system according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of an intelligent warehouse entry/exit data management terminal according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent warehouse entry data management system according to another embodiment of the invention.
Description of the element reference numerals
21 first building Block
22 second building block
23 acquisition module
24 identification module
31 processor
32 memory
41 intelligent warehouse-in and warehouse-out data management terminal
42 warehouse monitoring camera device
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
According to the intelligent warehouse-in and warehouse-out data management method, the intelligent warehouse-in and warehouse-out data management system, the storage medium and the intelligent warehouse-in and warehouse-out data management terminal, intelligent video identification and forklift goods tracking detection are carried out on real-time videos acquired by the warehouse monitoring camera device, and the warehouse-in and warehouse-out behaviors of goods in a warehouse environment can be acquired in real time, so that intelligent warehouse management is achieved.
As shown in fig. 1, in an embodiment, the intelligent warehouse entry and exit data management method of the present invention includes the following steps:
and step S1, constructing an object recognition model for the goods and the forklift in the warehouse.
Specifically, goods and forklift trucks which may appear in the warehouse are labeled and identified, and an object identification model is constructed according to an Artificial Intelligence (AI) algorithm.
And step S2, constructing an action recognition model for the goods and the warehouse entry and exit actions of the forklift.
Specifically, the loading and unloading actions of a truck, such as loading of goods, weighing of goods, loading of goods by a forklift, loading of goods into a warehouse and unloading of goods by the forklift are modeled and identified based on an AI algorithm, and an action identification model is generated.
And step S3, acquiring a real-time video of the warehouse.
Specifically, a warehouse monitoring camera device arranged in the warehouse collects real-time videos of the warehouse in real time and sends the videos to the intelligent warehouse-in/out data management terminal in a wired or wireless mode.
And step S4, acquiring goods in and out warehouse data in the real-time video based on the object recognition model and the action recognition model.
Specifically, the object recognition model and the action recognition model are adopted to perform object recognition and action recognition on the real-time video, so that corresponding goods warehouse-in and warehouse-out data are obtained. In an embodiment of the present invention, the data of the goods entering and exiting the warehouse includes warehousing/exiting actions, goods types, goods quantity, warehousing/exiting warehouse locations, and warehousing/exiting time.
In an embodiment of the present invention, the acquiring the cargo warehousing data in the real-time video based on the object recognition model and the motion recognition model includes the following steps:
41) and converting the real-time video into a scenized AI video stream.
Specifically, the real-time video is first subjected to AI processing to become a scenic AI video stream, so as to facilitate subsequent identification processing.
42) Cargo information and forklift information in the AI video stream are identified based on the object identification model.
Specifically, the object identification model is used for identifying information such as goods types, goods quantity, goods positions, forklifts, forklift positions and the like in the AI video stream.
43) And identifying the action information of the goods and the forklift in the AI video stream based on the action identification model.
Specifically, the motion recognition model is used for recognizing the motions of truck entering, cargo weighing, forklift loading cargo entering, forklift loading cargo exiting and the like in the AI video stream.
44) And generating the cargo in-out warehouse data based on the cargo information, the forklift information and the action information.
Specifically, the cargo in-out warehouse data can be obtained by combining the cargo information, the forklift information and the action information.
In an embodiment of the present invention, the method for managing the intelligent warehouse entry and exit data further includes acquiring the entered warehouse entry and exit data, and comparing the entered warehouse entry and exit data with the goods warehouse entry and exit data to realize the verification. Specifically, the intelligent warehouse-in and warehouse-out data management terminal further stores input warehouse-in and warehouse-out data input by a user, and the goods warehouse-in and warehouse-out data obtained through identification in an intelligent identification mode is compared with the input warehouse-in and warehouse-out data so as to verify the validity and reliability of the goods warehouse-in and warehouse-out data.
In an embodiment of the present invention, the method for intelligently managing the warehouse-in and warehouse-out data further includes dividing and storing the cargo warehouse-in and warehouse-out data for subsequent checking.
As shown in fig. 2, in one embodiment, the intelligent warehouse entry and exit data management system of the present invention includes a first building module 21, a second building module 22, an obtaining module 23, and an identifying module 24.
The first building module 21 is used to build an object recognition model for the goods and forklifts in the warehouse.
The second building module 22 is used for building an action recognition model for the warehouse entry and exit actions of the goods and the forklift.
The obtaining module 23 is configured to obtain a real-time video of the warehouse.
The identification module 24 is connected to the first building module 21, the second building module 22 and the obtaining module 23, and is configured to obtain the cargo warehousing-in-and-out data in the real-time video based on the object identification model and the motion identification model.
The structures and principles of the first building module 21, the second building module 22, the obtaining module 23, and the identifying module 24 correspond to the steps in the above-mentioned intelligent warehouse-in/warehouse-out data management method one to one, and therefore no further description is given here.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example: the x module can be a separately established processing element, and can also be integrated in a certain chip of the device. In addition, the x-module may be stored in the memory of the apparatus in the form of program codes, and may be called by a certain processing element of the apparatus to execute the functions of the x-module. Other modules are implemented similarly. All or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software. These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), and the like. When a module is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
The storage medium of the present invention stores a computer program, and the computer program realizes the above-mentioned intelligent warehouse-in/warehouse-out data management method when being executed by a processor. Preferably, the storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 3, in an embodiment, the intelligent warehouse entry and exit data management terminal of the present invention includes: a processor 31 and a memory 32.
The memory 32 is used for storing computer programs.
The memory 32 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 31 is connected to the memory 32 and configured to execute a computer program stored in the memory 32, so that the intelligent warehousing-in/out data management terminal executes the intelligent warehousing-in/out data management method.
Preferably, the Processor 31 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
As shown in fig. 4, in an embodiment, the intelligent warehouse entry and exit data management system of the present invention includes the intelligent warehouse entry and exit data management terminal 41 and the warehouse monitoring camera device 42.
The warehouse monitoring camera device 42 is connected to the intelligent warehousing-in/out data management terminal 41, and is configured to generate a real-time video of a warehouse and send the real-time video to the intelligent warehousing-in/out data management terminal 41.
In conclusion, the intelligent warehouse-in and warehouse-out data management method, the intelligent warehouse-in and warehouse-out data management system, the storage medium and the terminal can monitor, capture, identify and analyze warehouse-in and warehouse-out behaviors in the warehousing environment in real time through intelligent video identification and forklift goods tracking detection, so that a set of warehouse-in and warehouse-out internet-of-things data completely independent of any third party is provided for goods right persons, quality right persons and warehouse logistics mechanisms, and the reliability is high; the authenticity of the warehousing and leaving data of the warehousing system can be verified, complete and credible warehousing and leaving note Internet of things traceability information is provided for the warrant holder for the mortgage, the transaction and the like, and the authenticity and the validity of the physical information of the goods corresponding to the warehousing and leaving note are ensured; the warehouse system has the characteristics of high intelligence, visual scene and no sensitivity in operation, the warehouse mechanism only needs to multiplex the existing camera to complete hardware deployment, the cost is low, and the practicability is high. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An intelligent warehouse-in and warehouse-out data management method is characterized in that: the method comprises the following steps:
constructing an object identification model for goods and forklifts in a warehouse;
constructing an action recognition model for the warehouse entry and exit actions of the goods and the forklift;
acquiring a real-time video of the warehouse;
and acquiring cargo in-out database data in the real-time video based on the object recognition model and the action recognition model.
2. The intelligent warehousing data management method of claim 1, characterized in that: the warehouse-in and warehouse-out actions comprise truck entering, cargo weighing, loading and warehousing of cargos by a forklift and unloading of cargos by the forklift.
3. The intelligent warehousing data management method of claim 1, characterized in that: the step of acquiring the cargo in-out warehouse data in the real-time video based on the object recognition model and the action recognition model comprises the following steps:
converting the real-time video into a scenic AI video stream;
identifying cargo information and forklift information in the AI video stream based on the object identification model;
identifying the action information of the goods and the forklift in the AI video stream based on the action identification model;
and generating the cargo in-out warehouse data based on the cargo information, the forklift information and the action information.
4. The intelligent warehousing data management method of claim 1, characterized in that: the goods in and out warehouse data comprises warehouse-in/warehouse-out actions, goods types, goods quantity, warehouse-in/warehouse-out positions and warehouse-in/warehouse-out time.
5. The intelligent warehousing data management method of claim 1, characterized in that: and acquiring input and output warehouse data, and comparing the input and output warehouse data with the goods input and output warehouse data to realize verification.
6. The intelligent warehousing data management method of claim 1, characterized in that: and further comprising the step of segmenting and storing the goods in and out of the warehouse.
7. The utility model provides an intelligence discrepancy storehouse data management system which characterized in that: the system comprises a first construction module, a second construction module, an acquisition module and an identification module;
the first building module is used for building an object identification model for goods and forklifts in the warehouse;
the second construction module is used for constructing an action recognition model for the warehouse entry and exit actions of goods and a forklift;
the acquisition module is used for acquiring a real-time video of the warehouse;
the identification module is used for acquiring cargo in-out database data in the real-time video based on the object identification model and the action identification model.
8. A storage medium on which a computer program is stored, the program implementing the intelligent warehouse entry and exit data management method according to any one of claims 1 to 6 when executed by a processor.
9. The utility model provides an intelligence warehouse entry data management terminal which characterized in that includes: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory, so as to enable the intelligent warehousing and warehousing data management terminal to execute the intelligent warehousing and warehousing data management method of any one of claims 1 to 6.
10. The utility model provides an intelligence discrepancy storehouse data management system which characterized in that: the intelligent warehousing and ex-warehousing data management terminal and the warehouse monitoring camera device of claim 9 are included;
the warehouse monitoring camera device is used for generating a real-time video of a warehouse and sending the real-time video to the intelligent warehouse-in and warehouse-out data management terminal.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115564232A (en) * | 2022-09-30 | 2023-01-03 | 安徽链昇科技有限公司 | Intelligent warehouse goods loading and unloading method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109359919A (en) * | 2018-11-01 | 2019-02-19 | 常州信息职业技术学院 | A kind of Warehouse Management System and management method for logistics storage |
| CN111311630A (en) * | 2020-01-19 | 2020-06-19 | 上海智勘科技有限公司 | Method and system for intelligently counting quantity of goods through videos in warehousing management |
| CN112001228A (en) * | 2020-07-08 | 2020-11-27 | 上海品览数据科技有限公司 | Video monitoring warehouse in-out counting system and method based on deep learning |
-
2021
- 2021-03-16 CN CN202110282453.8A patent/CN113065817A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109359919A (en) * | 2018-11-01 | 2019-02-19 | 常州信息职业技术学院 | A kind of Warehouse Management System and management method for logistics storage |
| CN111311630A (en) * | 2020-01-19 | 2020-06-19 | 上海智勘科技有限公司 | Method and system for intelligently counting quantity of goods through videos in warehousing management |
| CN112001228A (en) * | 2020-07-08 | 2020-11-27 | 上海品览数据科技有限公司 | Video monitoring warehouse in-out counting system and method based on deep learning |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115564232A (en) * | 2022-09-30 | 2023-01-03 | 安徽链昇科技有限公司 | Intelligent warehouse goods loading and unloading method and device |
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