Intelligent boxing system and method

Abstract

The invention relates to the field of product packaging, in particular to the field of intelligent boxing systems, and particularly relates to an intelligent boxing system and method. The system comprises a conveying module which comprises a first conveying device used for conveying a to-be-encased color box and a second conveying device used for conveying a carton, and an identity label is displayed on the to-be-encased color box; the image acquisition module is used for acquiring an image of a box label and an image of an identity label on a to-be-packed color box; the recognition module is used for recognizing the image of the box label and the image of the identity label so as to determine whether the identity label corresponds to the box label or not; and the operation module comprises a mechanical arm and an operation part arranged on the mechanical arm and is used for grabbing the box label, pasting the box label to the target position of the carton and loading the first to-be-encased color box into the first carton, and the identity label of the first to-be-encased color box corresponds to the box label of the first carton.

Description

Technical Field

[0001] The present disclosure relates to the field of product packaging, and more specifically, to the field of intelligent boxing systems, and in particular to an intelligent boxing system and method. Background Art

[0002] With the rapid development of industrial automation, the demand for automation and intelligent packaging is growing. Traditionally, packaging, especially color box packing, relies heavily on manual labor, which not only leads to high labor costs but also makes it prone to operational errors, impacting packaging quality and efficiency.

[0003] Currently, there are many automatic cartoning systems on the market. However, before the products enter the automatic cartoning machine, some existing systems collect the product identifications in sequence according to the conveying order of the conveyor device to form a product identification sequence, and then pack the products according to the product identification sequence. Due to the lack of a confirmation mechanism at the final stage of packing, once an error occurs, the entire automatic cartoning system will be mispacked. Summary of the Invention

[0004] One purpose of the present disclosure is to provide an intelligent boxing system and method, which can solve the problems of high labor costs, easy errors and omissions, and susceptibility to human factors in manual operations during color box packaging, as well as the shortcomings of existing packaging systems in intelligent sorting and packaging.

[0005] According to a first aspect of the present disclosure, there is provided an intelligent packing system, comprising: A conveying module, comprising a first conveying device for conveying color boxes to be packed, and a second conveying device for conveying cartons, wherein the color boxes to be packed have identity labels displayed on them; An image acquisition module, used to acquire an image of the box label and an image of the identity mark on the color box to be packed; an identification module, configured to identify the image of the box label and the image of the identity identifier to determine whether the identity identifier corresponds to the box label; An operating module includes a robotic arm and an operating part arranged on the robotic arm, which is used to grab the box mark label and affix the box mark label to the target position of the carton, and to load the first color box to be packed into the first carton, wherein the identity identification of the first color box to be packed corresponds to the box mark label of the first carton.

[0006] Optionally, the image acquisition module includes a first camera, which is fixedly arranged on the operating part of the operating module and moves with the operating part, wherein when the operating module is operated, the first camera acquires the image of the box mark label or the identity mark.

[0007] Optionally, the system includes a detection module for detecting the number of first to-be-packed color boxes loaded into the first carton; The operation module is further configured to: package the first carton when the quantity is the same as the target quantity.

[0008] Optionally, the operation module is further configured to place a second color box to be packed into the abnormal placement platform, wherein the identity identifier of the second color box to be packed does not correspond to the box mark label of the first carton.

[0009] Optionally, the image acquisition module includes a second camera, which is arranged at the input end of the first conveying device, and is used to acquire an image of the identity mark on the color box to be conveyed; The system further includes a matching module configured to identify an image of the identity mark on the color box to be transported obtained by the second camera, and match the identity mark with a target box label.

[0010] According to a second aspect of the present disclosure, there is provided an intelligent packing method, which is applied to an intelligent packing system. The method includes: Grabbing a box mark label and affixing the box mark label to a target position of the first carton; Acquire an image of the box label and an image of the identity mark of the color box to be packed; Determining whether the identity identification of the color box to be packed corresponds to the box label according to the image of the box label and the image of the identity identification of the color box to be packed; The first color box to be packed is packed into the first carton, wherein the identity identifier of the first color box to be packed corresponds to the box mark label of the first carton.

[0011] Optionally, obtaining the image of the box mark label and the image of the identity mark of the color box to be packed includes: Acquiring an image of the box label when grabbing the box label; Grab the color box to be packed and obtain the identity of the color box to be packed.

[0012] Optionally, after the first color box to be packed is loaded into the first carton, the method further comprises: Detecting the number of the first color boxes to be packed in the first carton; When the quantity is the same as the target quantity, the first carton is packaged.

[0013] Optionally, after determining whether the identity identifier of the color box to be packed corresponds to the box label based on the image of the box label and the image of the identity identifier of the color box to be packed, the method further includes: A second color box to be packed is placed on the abnormal placement platform, wherein the identity identifier of the second color box to be packed does not correspond to the box mark label of the first carton.

[0014] Optionally, the method further includes: Acquire an image of the identity mark on the color box to be transported, and match the identity mark with the target box label.

[0015] One technical effect of the present disclosure is that it provides an intelligent packing system, which realizes automatic identification and packing of color box products through the cooperation of the operation module and the image acquisition module, greatly reduces manual operation, reduces labor costs, improves packaging efficiency, and avoids errors and instability caused by human factors; adopts advanced camera recognition technology, can identify the unique identifier of the color box in real time and accurately, and compare it with the content of the box mark label, effectively solves the problems of transmission line lag and label data distortion that may occur in the data transmission process in the existing technology, and improves the operation efficiency and accuracy of the system; innovatively monitors and compares the box mark label with the color box product throughout the process, effectively solving the problem of lack of real-time and effective detection and processing of labels in each process in the existing technology; through the intelligent recognition and diversion mechanism, it realizes the automatic sorting and packaging of color box products, greatly improves the automation level of the packaging line, and solves the problem of insufficient intelligent sorting and packaging in the existing technology.

[0016] Other features and advantages of the embodiments of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the embodiments of the present disclosure.

[0018] Figure 1 It is a structural diagram of the intelligent packing system provided by this application; Figure 2 This is a flow chart of the intelligent packing method provided by this application. DETAILED DESCRIPTION

[0019] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention.

[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0021] Techniques and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the techniques and equipment should be considered part of the specification.

[0022] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0023] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0024] It should be noted that all actions of acquiring signals, information or data in the embodiments of the present disclosure are performed in compliance with the corresponding data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0025] In an example of this embodiment, an intelligent packing system 100 is provided. Figure 1 As shown, it includes a conveying module 101, including a first conveying device for conveying color boxes to be packed, and a second conveying device for conveying cartons, wherein the color boxes to be packed have identity labels displayed on them; an image acquisition module 102, for acquiring an image of a box mark label and an image of the identity label on the color boxes to be packed; an identification module 103, for identifying the image of the box mark label and the image of the identity label to determine whether the identity label corresponds to the box mark label; an operation module 104, including a robotic arm and an operation part arranged on the robotic arm, the operation module is used to grab the box mark label and post the box mark label at a target position of the carton, and to load the first color box to be packed into the first carton, wherein the identity label of the first color box to be packed corresponds to the box mark label of the first carton.

[0026] A color box is a folding carton or corrugated box made of cardboard and fine corrugated board with color printing. It is primarily used for product packaging to enhance visual appeal and brand value. In this case, the color box refers to the color box after the product is packaged, and it needs to be packaged in bulk into cartons for subsequent transportation or other operations.

[0027] The conveyor module includes a first conveyor for transporting color boxes to be boxed, and a second conveyor for transporting cartons. In this example, the conveyor uses independent conveyor belts with preset start and stop times. Each conveyor belt delivers the color boxes and cartons to a preset location near the operation module, where they pause. In other words, the color boxes and cartons can be transported using separate conveyor belts, each stopping at a preset location near the operation module to await operation by the operation module.

[0028] An identification mark is displayed on the color box to be packed. The identification mark can be a barcode, a QR code or other identifiable mark, which is used to identify the product information, batch information, etc. of the color box.

[0029] The image acquisition module is used to capture images of the box label and the identification label on the color boxes to be packed. In one example of this embodiment, the image acquisition module can be one or more cameras independently located at specific positions. For example, cameras located at specific positions around the first conveyor device capture images of the identification label on each color box, and cameras located at specific positions around the second conveyor device capture images of the box label affixed to the cartons.

[0030] The recognition module is used to identify the image of the box label and the image of the ID mark to determine whether the ID mark corresponds to the box label. Using image recognition technology, the recognition module extracts key information from the acquired images and performs comparative analysis. If the ID mark on the color box matches the box label, the system identifies the color box as a product that can be packed into the carton, making it the first color box to be packed.

[0031] In this example, the operation module performs multiple functions. First, it grasps the case label and applies it to the desired location on the carton. Second, it loads the first color box into the first carton, where the identification of the first color box matches the case label on the first carton. The operation module can utilize a multi-degree-of-freedom robotic arm structure, offering precise positioning and flexible grasping capabilities, enabling accurate label application and color box packing.

[0032] In this embodiment, through the cooperation of the operation module and the image acquisition module, automatic identification and packing of color box products are realized, which greatly reduces manual operation, reduces labor costs, improves packaging efficiency, and avoids errors and instability caused by human factors; using advanced camera recognition technology, it can identify the unique identification of the color box in real time and accurately, and compare it with the content of the box mark label, effectively solving the problems of transmission line lag and label data distortion that may occur during data transmission in the existing technology, and improving the operating efficiency and accuracy of the system; innovatively monitor and compare the box mark label with the color box product throughout the process, effectively solving the problem of lack of real-time and effective detection and processing of labels in each process in the existing technology; through the intelligent identification and diversion mechanism, automatic sorting and packaging of color box products are realized, which greatly improves the automation level of the packaging line and solves the problem of insufficient intelligent sorting and packaging in the existing technology.

[0033] In one example of this embodiment, the image acquisition module includes a first camera, which is fixedly arranged on the operating part of the operating module and moves with the operating part. When the operating module is operated, the first camera acquires an image of the box mark label or identity mark.

[0034] In one example of this embodiment, the image acquisition module includes a second camera, which is arranged at the input end of the first conveying device, and the second camera is used to obtain an image of the identity mark on the color box to be conveyed; the system also includes: a matching module, which is used to identify the image of the identity mark on the color box to be conveyed obtained by the second camera, and match the identity mark with the target box mark label.

[0035] In this example, the image acquisition module may include a first camera and a second camera. The first camera is fixed to the operating unit of the operating module, such as a robotic arm, and moves with the operating unit. When the operating module performs operations such as gripping, posting, or packing, the first camera can capture images of the box label or identification tag.

[0036] The second camera is located at the input end of the first conveyor device and is used to capture images of the identification labels on the color boxes being conveyed. This is the input end of the conveyor belt that transports the color boxes. The second camera captures images of the identification labels on the color boxes being conveyed so that the backend can match the identification labels on the color boxes on the conveyor belt with the box labels.

[0037] In this embodiment, the system also includes a matching module, which is used to identify the image of the identity mark on the color box to be conveyed obtained by the second camera, and match the identity mark with the target box mark label. In this example, the target box mark label can be determined based on preset rules. For example, the number of color boxes corresponding to the box mark label of the carton currently being packed by each operating module can be determined first, and the box mark label with the closest number to the preset number can be set as the target box mark label. In another example, it can be determined based on the number stacking of each branch of the first conveying device. For example, there are some problems with the operating module corresponding to a branch conveyor belt, resulting in a lot of color box stacking. At this time, the identity mark of the newly input color box can be associated with the box mark label corresponding to the operating unit of other unstacked branches. Through this pre-matching mechanism, the system can perform preliminary matching at an early stage when the color box enters the conveying system, thereby improving the efficiency of the subsequent packing process.

[0038] In this example, when the color box to be transported is transported by the conveying device and arrives at a specific packing position, it can be used as the color box to be packed in this embodiment.

[0039] In an example of this embodiment, the system includes a detection module for detecting the quantity of the first color boxes to be packed into the first carton; the operation module is further configured to: package the first carton when the quantity is the same as the target quantity.

[0040] In one example, the system further includes a detection module for detecting the number of first color cartons loaded into the first carton. The detection module can accurately count the number of cartons loaded using a background counter or image recognition technology. Specifically, each time the robotic arm captures an image and loads a color carton, the background counter calculates the number. Alternatively, the detection module can be a pressure sensor positioned below the stop position of the second conveyor belt during carton loading. The pressure sensor's reading can be used to determine the number of color cartons loaded into the carton.

[0041] The operation module also has a sealing function. If the detection module detects that the number of first-to-be-packed color boxes in the first carton matches the target quantity, the operation module seals the first carton. The sealing process may include folding the carton lid, applying tape, or other sealing methods to ensure the product is securely packaged.

[0042] In an example of this embodiment, the operating module is further configured to place a second color box to be packed into the abnormal placement platform, wherein the identity identifier of the second color box to be packed does not correspond to the box mark label of the first carton.

[0043] In one example, the operation module is further configured to place a second unpacked color box, where the identification label on the second unpacked color box does not correspond to the box label on the first carton, into an abnormal storage platform. This design ensures accuracy during the packing process and prevents mismatched products from being incorrectly packed. The abnormal storage platform can be a separate area or container for temporarily storing abnormal color boxes that require manual processing.

[0044] In this embodiment, the entire intelligent packaging system, through the coordinated operation of various modules, achieves automatic identification, matching, packing, and packaging of color boxes, significantly improving packing efficiency, reducing manual operation errors, and ensuring product packaging accuracy. The system has a high degree of automation and can adapt to different types of color boxes and cartons, with good versatility and scalability.

[0045] In an example of this embodiment, an intelligent packing method is also provided, which can be applied to the intelligent packing system of the above embodiment, such as Figure 2 As shown, the method includes steps S11 to S14: Step S11: grab the box mark label and stick it on the target position of the first carton.

[0046] In this embodiment, the intelligent packing system uses a robotic arm to grab a pre-prepared box label. The box label can contain multiple product information, such as batch information (including the identity label information of the corresponding specific color box), production date, product model, and other key information. The robotic arm accurately locates the target position of the first carton, which is usually located in a specific area on the front or side of the carton, and then affixes the box label flatly to the position. While grabbing the box label, the system can obtain an image of the box label through an image acquisition device installed on the robotic arm, or, through an image acquisition device fixed at another position, capture an image of the box label affixed to the carton before grabbing. This image will be used in the subsequent matching and verification process.

[0047] Step S12: Acquire an image of the box label and an image of the identity mark of the color box to be packed.

[0048] In this embodiment, obtaining an image of the box label and an image of the identity mark of the color box to be packed includes: obtaining the image of the box label when grabbing the box label; grabbing the color box to be packed and obtaining the identity mark of the color box to be packed.

[0049] When grabbing the case label, the intelligent packing system uses the image capture device on the operating module to obtain a clear image of the case label. This image contains all the information on the case label, such as the product model, batch number, and production date. After the case label is applied, the system grabs the color box to be packed and uses the same image capture device to capture an image of the identification mark on the color box. This identification mark is typically a barcode, QR code, or a specific product number, printed in a specific location on the color box. The system ensures that the captured image is clear and legible to ensure accurate subsequent image recognition and matching processes.

[0050] Step S13 , determining whether the identity identifier of the color box to be packed corresponds to the box label based on the image of the box label and the image of the identity identifier of the color box to be packed.

[0051] The intelligent packing system inputs images of the box label and the identification mark of the color box to be packed into the image recognition module. This module first preprocesses both images, including noise reduction, contrast enhancement, and edge detection, to improve recognition accuracy. The system then uses optical character recognition or barcode recognition technology to extract product information from the box label image and the product number or other identifying information from the identification mark image. The system compares these two sets of information to determine whether they match. If so, the system generates a successful match signal for subsequent packing.

[0052] Step S14: pack the first color box to be packed into the first carton, wherein the identity identifier of the first color box to be packed corresponds to the box label of the first carton.

[0053] Once the system confirms that the identification of the pre-packed color box matches the carton's box label, the robotic arm will accurately place the first pre-packed color box into the first carton according to the pre-set packing path and posture. The system calculates the packing position and order based on the carton size and shape, ensuring that the color boxes are neatly arranged in the carton and maximizing the carton space. During the packing process, the system monitors the packing status in real time to ensure that the color boxes are not collided or damaged.

[0054] In this example, the above-mentioned intelligent packing method can effectively prevent product mixing errors and improve packing accuracy. At the same time, it can improve packing efficiency and reduce labor costs through automated operations.

[0055] In an example of this embodiment, after the first color boxes to be packed are loaded into the first carton, the method further includes: detecting the quantity of the first color boxes to be packed loaded into the first carton; and packaging the first carton if the quantity is the same as the target quantity.

[0056] In this embodiment, detection can be achieved through a backend electronic counter or a pressure sensor under the carton packing area. Each time a color box's identity is recognized, the counter increments by one. The system records the number of color boxes loaded into the carton in real time and compares it with a preset target number. When the system detects that the number of color boxes to be loaded into the first carton has reached the target number, the packaging mechanism is automatically triggered to start packaging. The packaging process may include folding the carton lid, applying tape, or other sealing methods to ensure product packaging is secure.

[0057] This intelligent packing method automatically detects the packing quantity and automatically seals the carton when the target quantity is reached, eliminating the potential errors that can occur with manual counting and improving packing efficiency and accuracy. Furthermore, because the system ensures the exact number of color boxes packed into each carton, it reduces customer complaints and financial losses caused by insufficient or excessive quantities.

[0058] In an example of this embodiment, after determining whether the identity identification of the color box to be packed corresponds to the box mark label based on the image of the box mark label and the image of the identity identification of the color box to be packed, the method further includes: placing the second color box to be packed into the abnormal placement platform, wherein the identity identification of the second color box to be packed does not correspond to the box mark label of the first carton.

[0059] In this embodiment, the second color box to be packed is placed on the abnormal placement platform. The second color box to be packed here refers to a color box whose identity identification does not correspond to the box mark label of the first carton. By placing the mismatched color boxes on the abnormal placement platform, the system can effectively isolate these color boxes that do not meet the packing requirements and prevent them from being mistakenly packed into inappropriate cartons. This processing method improves the accuracy of packing, reduces the possibility of incorrect packing, and also facilitates the subsequent further processing or redistribution of these abnormal color boxes. The abnormal placement platform can be designed as an independent area or container specifically for temporarily storing these color boxes that require special handling. The system can remind the operator to pay attention to these abnormal color boxes through visual prompts or other means so that appropriate treatment measures can be taken in a timely manner.

[0060] This intelligent packing method uses automated image recognition and comparison technology, combined with precise mechanical operations, to achieve accurate classification and packing of color boxes, greatly improving packing efficiency and accuracy, reducing the error rate of manual operations, and also providing a reasonable handling mechanism for abnormal situations.

[0061] In an example of this embodiment, the method further includes: acquiring an image of an identity mark on the color box to be transported, and matching the identity mark with a target box label.

[0062] In this example, the intelligent packing system also performs the following operations: capturing images of the identification labels on the incoming colored cartons and matching them with the target case labels. Specifically, before the colored cartons are conveyed to the packing area, the system uses an image acquisition device above the conveyor belt or at the input end to capture images of the identification labels on the incoming colored cartons. The system then pre-matches these images with the target case labels, pre-determining which colored cartons should be loaded into which cartons, thereby optimizing the entire packing process and improving packing efficiency.

[0063] An embodiment of the present application also provides an electronic device, including a processor and a memory, wherein the memory stores computer instructions. When the computer instructions are executed by the processor, any one of the above-mentioned intelligent packing method embodiments is implemented and can achieve the same technical effect. To avoid repetition, they will not be repeated here.

[0064] An embodiment of the present application also provides a storage medium on which computer instructions are stored. When the computer instructions are executed by a processor, any one of the above-mentioned intelligent packing method embodiments is implemented and can achieve the same technical effect. To avoid repetition, they will not be described here.

[0065] The various embodiments of this disclosure are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device and apparatus embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, reference can be made to the descriptions of the method embodiments.

[0066] The foregoing description describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The embodiments of the present disclosure may be systems, methods, and / or computer program products. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the embodiments of the present disclosure.

[0068] A computer-readable storage medium can be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or raised-in-groove structure on which instructions are stored, and any suitable combination thereof. As used herein, a computer-readable storage medium is not to be construed as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through an electrical wire.

[0069] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions to be stored in the computer-readable storage medium in each computing / processing device.

[0070] The computer program instructions for performing the operations of the embodiments of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, the state information of the computer-readable program instructions is used to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), so that the electronic circuit can execute the computer-readable program instructions, thereby implementing various aspects of the embodiments of the present disclosure.

[0071] Various aspects of the embodiments of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

[0072] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device is generated that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, where these instructions cause the computer, programmable data processing device, and / or other device to operate in a specific manner. Thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0073] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0074] The flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of an instruction, and a part of the module, program segment or instruction contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.

[0075] While various embodiments of the present disclosure have been described above, the above descriptions are illustrative, non-exhaustive, and not intended to be limiting of the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or improvements to existing technologies, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. An intelligent packing system, characterized in that: The system comprises: A conveying module, comprising a first conveying device for conveying color boxes to be packed, and a second conveying device for conveying cartons, wherein the color boxes to be packed have identity labels displayed on them; An image acquisition module, used to acquire an image of the box label and an image of the identity mark on the color box to be packed; an identification module, configured to identify the image of the box label and the image of the identity identifier to determine whether the identity identifier corresponds to the box label; An operating module includes a robotic arm and an operating part arranged on the robotic arm, wherein the operating module is used to grab the box mark label and affix the box mark label to the target position of the carton, and to load the first color box to be packed into the first carton, wherein the identity identification of the first color box to be packed corresponds to the box mark label of the first carton.

2. The system according to claim 1, wherein: The image acquisition module includes a first camera, which is fixedly arranged on the operating part of the operating module and moves with the operating part. When the operating module is operated, the first camera acquires the image of the box mark label or the identity mark.

3. The system according to claim 1, wherein: The system includes a detection module for detecting the number of first to-be-packed color boxes loaded into the first carton; The operation module is further configured to: package the first carton when the quantity is the same as the target quantity.

4. The system according to claim 1, wherein: The operation module is further configured to place a second color box to be packed into the abnormal placement platform, wherein the identity identifier of the second color box to be packed does not correspond to the box mark label of the first carton.

5. The system according to claim 2, wherein: The image acquisition module includes a second camera, which is arranged at the input end of the first conveying device and is used to acquire an image of the identity mark on the color box to be conveyed; The system further includes a matching module configured to identify an image of the identity mark on the color box to be transported obtained by the second camera, and match the identity mark with a target box label.

6. An intelligent packing method, characterized in that: Applied to an intelligent packing system, the method includes: Grabbing a box mark label and affixing the box mark label to a target position of the first carton; Acquire an image of the box label and an image of the identity mark of the color box to be packed; Determining whether the identity identification of the color box to be packed corresponds to the box label according to the image of the box label and the image of the identity identification of the color box to be packed; The first color box to be packed is packed into the first carton, wherein the identity identifier of the first color box to be packed corresponds to the box mark label of the first carton.

7. The method according to claim 6, characterized in that The step of obtaining the image of the box mark label and the image of the identity mark of the color box to be packed includes: Acquiring an image of the box label when grabbing the box label; Grab the color box to be packed and obtain the identity of the color box to be packed.

8. The method according to claim 6, characterized in that After the first color box to be packed is loaded into the first carton, the method further includes: Detecting the number of the first color boxes to be packed in the first carton; When the quantity is the same as the target quantity, the first carton is packaged.

9. The method according to claim 6, characterized in that After determining whether the identity identifier of the color box to be packed corresponds to the box label based on the image of the box label and the image of the identity identifier of the color box to be packed, the method further includes: A second color box to be packed is placed on the abnormal placement platform, wherein the identity identifier of the second color box to be packed does not correspond to the box mark label of the first carton.

10. The method according to claim 6, characterized in that The method further comprises: Acquire an image of the identity mark on the color box to be transported, and match the identity mark with the target box label.

Images