CN113978987B - Pallet object packaging and picking method, device, equipment and medium - Google Patents

Pallet object packaging and picking method, device, equipment and medium Download PDF

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Publication number
CN113978987B
CN113978987B CN202111328614.9A CN202111328614A CN113978987B CN 113978987 B CN113978987 B CN 113978987B CN 202111328614 A CN202111328614 A CN 202111328614A CN 113978987 B CN113978987 B CN 113978987B
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pallet
target
image
identified
shipment
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CN113978987A (en
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贺家有
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Inventec Pudong Technology Corp
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Inventec Pudong Technology Corp
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
    • B65G1/02—Storage devices
    • B65G1/04—Storage devices mechanical
    • B65G1/0485—Check-in, check-out devices
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
    • B65B11/00—Wrapping, e.g. partially or wholly enclosing, articles or quantities of material, in strips, sheets or blanks, of flexible material
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
    • B65G1/02—Storage devices
    • B65G1/04—Storage devices mechanical
    • B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
    • B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
    • B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G67/00—Loading or unloading vehicles
    • B65G67/02—Loading or unloading land vehicles
    • B65G67/04—Loading land vehicles
    • B65G67/06—Feeding articles or materials from bunkers or tunnels
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G2201/00—Indexing codes relating to handling devices, e.g. conveyors, characterised by the type of product or load being conveyed or handled
    • B65G2201/02—Articles
    • B65G2201/0235—Containers
    • B65G2201/0258—Trays, totes or bins
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
    • B65G2203/02—Control or detection
    • B65G2203/0208—Control or detection relating to the transported articles
    • B65G2203/0216—Codes or marks on the article
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The application provides a pallet object packaging and picking method, a pallet object packaging and picking device, pallet object packaging and picking equipment and a pallet object packaging and picking medium, wherein the pallet object packaging and picking method comprises the following steps: acquiring an image of a target to be identified on a pallet; extracting interested areas of each target to be identified in the image, and identifying identification information of the target to be identified in each interested area; detecting each target to be recognized in the image according to the identification information; when the objects to be identified corresponding to the plurality of positions of the pallet are detected to belong to the storage standard of the pallet and the number of the objects to be identified is correct, packaging the objects on the pallet by using a packaging machine to form a delivery pallet; binding the shelf number of the shipment pallet with the target information of the shipment pallet and the warehouse position information; the delivery bill that the vehicle corresponds is obtained, and the delivery demand according to the delivery bill matches at background server, and the goods information display that will accord with the delivery demand supplies the vehicle to deliver goods at corresponding shipment mouth, and visual, the shipment information of digital control product has been realized to this application, has improved product shipment efficiency.

Description

Pallet object packaging and picking method, device, equipment and medium
Technical Field
The application relates to the field of intelligent manufacturing, in particular to a pallet object packaging and pickup method, device, equipment and medium.
Background
At present, products produced by a production line are packaged by packaging boxes, labeling is carried out on the packaged packaging boxes to form VIN, then, the packaging boxes are stacked on a pallet according to standards in multiple layers, for example, the packaging boxes are placed on four sides of the pallet, and VIN codes (namely identification information) are arranged on one outward side of each packaging box; the product is determined to be the same kind of product by scanning the identification information on the pallet, and when the pallet is the same kind of product, the pallet is wrapped by the pallet film to be packaged into a finished product (shipment pallet) storage warehouse. When a driver of the truck loads goods, according to a delivery bill of the driver of the truck, a worker is called to search the goods of the corresponding pallet and transfer the goods to the appointed truck.
However, the number of pallets discharged every day in the existing warehouse is very large, the difficulty of manual identification and goods picking operation is very large, and due to the wide operation range and the low efficiency, the trucks are loaded by manual carrying, so that not only can information be updated in time, but also the trucks are not beneficial to picking goods to the specified goods picking port.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present application is to provide a method, an apparatus, a device and a medium for packing and picking up pallet items, which are used to solve the problems of low efficiency and high difficulty in packing and picking up pallet items in the prior art.
To achieve the above and other related objects, a first aspect of the present application provides a pallet article packing and pickup method, comprising:
acquiring an image of a target to be recognized on a pallet, wherein the image comprises identification information corresponding to each target to be recognized;
extracting the interested areas of the targets to be identified in the image, and identifying the identification information of the targets to be identified in the interested areas;
detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
when the objects to be identified corresponding to the plurality of positions of the pallet are detected to belong to the storage standard of the pallet and the number of the objects to be identified on the pallet is correct, packaging the objects on the pallet by using a packaging machine to form a delivery pallet;
binding the shelf number of the shipment pallet with the target information and warehouse position information of the shipment pallet, and storing the bound shelf number and the target information and warehouse position information in a background server in a correlated manner;
and acquiring a delivery bill corresponding to the vehicle, matching the delivery demand of the delivery bill at a background server, and displaying the cargo information meeting the delivery demand at a corresponding outlet for vehicle delivery.
In certain embodiments of the first aspect of the present application, the step of obtaining an image of an object to be identified on a pallet comprises:
the pallet is placed on a rotatable turntable, a plurality of targets to be identified are stacked on the pallet, and the identification information is attached to the outer surface of one side of the targets to be identified;
and adjusting the rotation angle of the rotary table until the camera is used for collecting the images corresponding to the pallet on different planes.
In certain embodiments of the first aspect of the present application, the step of extracting the region of interest of each target to be identified in the image is preceded by:
determining a binary image of an image area where each boundary of the target to be recognized is located based on the image to be processed;
for each boundary, acquiring a plurality of line segments from a binary image of an image area where the boundary is located, wherein the line segments are respectively composed of a plurality of pixel points with gray values as first numerical values;
and preprocessing the binary image of the image area where the boundary is located based on the line segments to obtain a preprocessed image.
In certain embodiments of the first aspect of the present application, the step of extracting regions of interest of each object to be identified in the image and identifying identification information of the object to be identified in each region of interest includes:
extracting a sensitive region of each target to be identified in the image by using an image segmentation algorithm;
identifying characters in each sensitive region in the image through an optical character identification algorithm to obtain an identification result corresponding to each target to be identified;
respectively determining each recognition result as a recognition target result of a target to be recognized, and respectively comparing the recognition target result with each recognition result except the recognition target result in terms of confidence coefficient and similarity to correspondingly obtain a comparison result corresponding to each recognition target result;
and determining target characters corresponding to each target to be recognized in the image according to the comparison result, and determining the target characters as the identification information of the target to be recognized.
In certain embodiments of the first aspect of the present application, the step of extracting regions of interest of each object to be recognized in the image and recognizing identification information of the object to be recognized in each region of interest includes:
acquiring the area of the target to be recognized in the image, removing redundant backgrounds according to the upper and lower baselines of the target to be recognized, and positioning the region of interest of the target to be recognized;
according to the texture features of the character boundary in the region of interest of the target to be recognized, positioning the character boundary to obtain a candidate region where the character is located;
and identifying the candidate region of each character to obtain a corresponding identification confidence coefficient, averaging each character in each character path to obtain an identification confidence coefficient average value, selecting the character path with the highest identification confidence coefficient average value as a character identification result, and generating the identification result of the target to be identified by combining the identification results of each character in the character path.
In some embodiments of the first aspect of the present application, the obtaining a pick-up order corresponding to a vehicle, matching the pick-up demand of the pick-up order at a background server, and displaying the cargo information meeting the pick-up demand at a corresponding outlet for the vehicle to pick up the cargo includes:
acquiring the license plate number of the vehicle, and associating a bill of lading to be carried by the vehicle according to the license plate number of the vehicle, wherein the bill of lading comprises the lading requirement of the lading;
matching the goods taking demands of the goods taking orders by a background server, and matching the corresponding types of shipment pallets according to the goods related to the goods taking demands, wherein the shipment pallets are correspondingly associated with target information and warehouse position information;
and displaying the license plate number or/and a delivery bill in a preset delivery port display interface according to the matched warehouse position information of the delivery pallet for vehicle delivery.
In certain embodiments of the first aspect of the present application, further comprising:
acquiring progress information of the current pallet for the vehicle to load and discharge, and displaying the number and the type of the current pallet for the vehicle to load and discharge at the corresponding discharge port according to the progress information;
determining the number and the type of the shipment pallets of each shipment port, determining the residual total amount and the shipment total amount of the current shipment pallets by combining the shipment pallets stored in the warehouse, and displaying the residual total amount and the shipment total amount;
when the fact that the residual total amount of the delivery pallet of the warehouse or the delivery total amount does not reach a preset threshold value is monitored, alarm information is generated and sent to a monitoring terminal, and an interference scheduling instruction is generated according to the residual total amount of the delivery pallet of the warehouse or the delivery total amount.
In a second aspect of the present application, there is provided a pallet item packing and pickup device comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring an image of a target to be recognized on a pallet, and the image comprises identification information corresponding to each target to be recognized;
the extraction module is used for extracting the interested areas of the targets to be identified in the image and identifying the identification information of the targets to be identified in the interested areas;
the detection module is used for detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
the packaging and packaging module is used for packaging and packaging the targets on the pallet by using a packaging machine to form a shipment pallet when the fact that the targets to be identified corresponding to the multiple position surfaces of the pallet belong to the storage standard of the pallet and the number of the targets to be identified on the pallet is correct is detected;
the information association module is used for binding the shelf number of the delivery pallet with the target information of the delivery pallet and the warehouse position information, and storing the information association module in a background server in an associated manner;
and the goods picking module is used for acquiring a goods picking order corresponding to the vehicle, matching the goods picking order in a background server according to the goods picking requirement of the goods picking order, and displaying the goods information meeting the goods picking requirement at a corresponding goods outlet for vehicle goods picking.
In a third aspect of the present application, there is provided an electronic device comprising:
one or more processing devices;
a memory for storing one or more programs; when the one or more programs are executed by the one or more processing devices, the one or more processing devices are caused to perform the pallet item packing pick-up method.
In a fourth aspect of the present application, a computer-readable storage medium having stored thereon a computer program for causing a computer to execute the pallet item packing and pickup method is provided.
As described above, the pallet object packaging and pickup method, device, equipment and medium of the present application have the following beneficial effects:
the method and the device have the advantages that the image of the target to be recognized on the pallet is collected, the identification information corresponding to the target to be recognized in the image is recognized, the type of the target to be recognized on the pallet is rapidly and accurately determined through the identification information, and the pallet is quickly wrapped with the film and packaged into the delivery pallet; simultaneously, the goods information and the positional information of pallet are correlated and stored to the rear end server according to the goods shelves number of pallet, and when receiving the vehicle and corresponding the delivery note, match at the background server according to the delivery demand of delivery note, will accord with the goods information display of delivery demand supplies the vehicle to deliver at corresponding shipment mouth, can realize visual, digital control product shipment information, has improved product shipment efficiency greatly.
Drawings
Fig. 1 shows a flow chart of a pallet object packaging and pickup method according to an embodiment of the present application;
fig. 2 shows a flow chart of identification recognition in a pallet object packaging and pickup method according to an embodiment of the present application;
fig. 3 is a flowchart illustrating identification recognition in a pallet object packaging and pickup method according to an embodiment of the present application;
fig. 4 shows a cargo lifting flow chart of a pallet object packaging cargo lifting method according to an embodiment of the present application;
fig. 5 is a monitoring flow chart of a pallet item packing and pickup method according to an embodiment of the present disclosure;
fig. 6 shows a block diagram of a pallet object packing and pickup device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 8 shows a diagram of a pallet object packaging according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present application, and the drawings only show the components related to the present application and are not drawn according to the number, shape and size of the components in actual implementation, and the type, number and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, a flow chart of a pallet object packaging and pickup method according to an embodiment of the present application includes:
s101, acquiring an image of a target to be recognized on a pallet, wherein the image comprises identification information corresponding to each target to be recognized;
wherein, neatly regular piles up a plurality of targets of treating discernment (promptly, pallet article) that hold on the pallet, this article can be computer, panel computer, smart mobile phone or other intelligent terminal etc. also can be semi-manufactured goods's electron device etc.. The identification information can be a product code, an SN bar code, a two-dimensional code and the like corresponding to the target to be recognized, each target to be recognized corresponds to unique identification information, the identification information can be one or more, and the identification information can accurately reflect the product type of the target.
The method includes the steps that a pallet is placed on a rotatable turntable, the pallet is stacked with a plurality of targets to be identified, and identification information is attached to the outer surface of one side of each target to be identified (namely, the outer surface of one side is the opposite surface corresponding to the direction of a camera);
and adjusting the rotation angle of the rotary table until the camera is used for collecting the images corresponding to the pallet on different planes.
Specifically, a high-definition camera may be used to collect an image, and when the image is collected, the rotation angle of the turntable needs to be adjusted, for example, when the turntable initially rotates, the target to be identified placed on the pallet on the turntable is made to be opposite to the corresponding camera, so as to ensure that the camera shoots images of a plurality of targets to be identified corresponding to one whole location plane (a plane) from a top view angle or a horizontal angle, and the camera shoots an image of a B plane by rotating the turntable 90 degrees, so that the camera shoots the image of the B plane by rotating the turntable 90 degrees for a plurality of times, and starts to shoot the image (at least one image, or a plurality of images, with the most preferable quality) once every time until all location planes of the pallet shoot clear and complete images, and if the pallet has four location planes, the images of the a plane, the B plane, the C plane and the D plane need to be shot.
For example, on the premise that the arrangement cost is not considered and only the image acquisition efficiency is considered, two cameras can be adopted to shorten the rotation times, or a plurality of cameras are used for aligning a plurality of position surfaces on the pallet one by one, so that the pallet image can be acquired quickly and accurately.
Step S102, extracting the interested areas of the targets to be identified in the image, and identifying the identification information of the targets to be identified in the interested areas;
the method comprises the steps that identification information corresponding to each target to be identified in an image is obtained through an intelligent identification technology, so that related information (product types, identifications and the like) of the target to be identified can be quickly and accurately obtained, and a product record list is formed; compared with a manual mode, the scanning is carried out from top to bottom and from left to right, because each target to be identified has a plurality of bar code information, the bar code information needs to be eliminated through manual confirmation, the reaction capability and the memory capability of workers need to be considered, the efficiency is not high, and the detection efficiency and the accuracy are greatly improved.
Step S103, detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
the intelligent judgment is carried out by utilizing the identification information, whether AB goods exist on the pallet or not is determined, when the fact that the objects to be identified corresponding to the multiple position surfaces of the pallet belong to the storage standard of the pallet is detected, the AB goods do not exist on the pallet, and the phenomenon that the target products stacked on the pallet are not products with the same specification and model is prevented, so that the phenomenon of packaging errors is caused; simultaneously, when the target of treating discernment of depositing on the pallet satisfied the default quantity, for example, according to pallet self model and there is product kind specification, nimble the default quantity of depositing product on corresponding pallet, no longer give unnecessary details here.
For example, the storage criteria include whether each object to be identified belongs to the same type of object and whether each object to be identified belongs to the pallet.
In this embodiment, whether each object to be identified in the image belongs to the storage standard of the pallet is detected, for example, the storage standard of one pallet may be only capable of storing products of the same type, or the storage standard may also be adjusted to store some types of products according to human needs, and the product model of the object is determined by detecting the identification code of the object to be identified, so as to exclude products which do not belong to the requirements corresponding to the storage standard of the pallet, and meanwhile, each object to be identified is counted according to the product specification and model to determine the number of the objects stored on the pallet, that is, when the product model of the object to be identified stored on the pallet belongs to the product model specified by the storage standard, the object to be identified belongs to the storage standard of the pallet, otherwise, the object to be identified does not belong to the storage standard of the pallet; and when the quantity of the targets to be identified stored on the pallet meets the preset quantity, the quantity is correct, otherwise, the quantity is incorrect.
Step S104, when the objects to be identified corresponding to a plurality of positions of the pallet are detected to belong to the storage standard of the pallet and the number of the objects to be identified on the pallet is correct, packaging and packaging the objects (the objects to be identified) on the pallet by using a packaging machine to form a delivery pallet;
wherein, only when the target of treating discernment that a plurality of positions of pallet correspond belongs to the standard of depositing of this pallet, just each is treated when the quantity of discernment target is correct on the pallet, just allows to use intelligent film wrapping machine to pack (artificial packing, the automatic packing of production line) and encapsulates, if the target of treating discernment that a plurality of positions of pallet correspond exists the standard of depositing that does not belong to this pallet, just each is treated the quantity of discernment target on the pallet when correct or incorrect, for example, when taking place above-mentioned condition, shows AB goods and confuses and the warning information that quantity is not right to sound or scintillation light is reported to the police and is reminded, in time informs the staff and handles, in order to prevent influencing follow-up packing efficiency.
See fig. 8 for a detailed diagram of a target on a pallet packaged by an intelligent film wrapping machine, which is not described herein.
Step S105, binding the shelf number of the shipment pallet with the target information and warehouse position information of the shipment pallet, and storing the bound shelf number, the target information and the warehouse position information in a background server in a correlated manner;
the pallet number corresponding to each pallet is unique and not repeated, for example, a position module (a GPS module or a Beidou satellite module) and a wireless communication module can be integrated under the pallet, warehouse position information of the discharged pallet and target information of intelligent identification are bound by the wireless communication module, and a mapping relation is formed and stored in a background server in an associated mode.
And S106, acquiring a delivery bill corresponding to the vehicle, matching the delivery bill in a background server according to the delivery requirement of the delivery bill, and displaying the cargo information meeting the delivery requirement at a corresponding cargo outlet for vehicle delivery.
Before the goods are picked up, the license plate number of the vehicle is bound with the goods picking-up bill and is generated in the goods picking-up bill; because the bill of lading includes the demand of lading of required multiple product, when obtaining the demand of lading of bill of lading, match at the background server according to the demand of lading, generate the goods information that satisfies the demand of lading to show that idle shipment mouth supplies the vehicle to carry the goods fast.
Preferably, when the matching is performed by the background server, intelligent recommendation can be performed according to the position of the current vehicle and the position information of the shipment information of which the warehouse meets the conditions, for example, when the vehicle is close to the No. 1 shipment port, corresponding cargos are placed in a plurality of warehouses for meeting the shipment requirements, and at the moment, the nearest cargos are selected to be recommended through the shipment port; or when the vehicle arrives at a position place with a plurality of goods outlets, the number of intelligent dragging and carrying trolleys configured at the current goods outlets is specified, the dragging and carrying efficiency is considered, the goods outlet with the highest dragging and carrying efficiency is specified to queue for waiting for loading; or, a delivery port is arbitrarily designated, and the trailer cart is called to load the cargo, which is not limited herein.
By the mode, the idle state of the goods outlet and the position information of the goods can be considered, the goods can be loaded quickly and accurately, and the efficiency of packing and picking up the goods by the pallet is improved.
Optionally, before the step of extracting the region of interest of each target to be identified in the image, the method further includes:
determining a binary image of an image area where each boundary of the target to be recognized is located based on the image to be processed;
for each boundary, acquiring a plurality of line segments from a binary image of an image area where the boundary is located, wherein the line segments are respectively composed of a plurality of pixel points with gray values as first numerical values;
and preprocessing the binary image of the image area where the boundary is located based on the line segments to obtain a preprocessed image.
For example, based on the image to be processed, a binary image of an image region where each boundary of the object to be recognized is located is determined, because the gray value of the pixel point in the determined binary image is a first numerical value or a second numerical value, and a plurality of line segments formed by the pixel points of which the gray values are the first numerical values are respectively obtained from the binary image of the image region where each boundary is located, the binary image of the image region where each boundary is located can be further processed through the line segments, so that edge burrs of each boundary are filtered, the boundary of the object to be recognized is more clearly highlighted, and the image preprocessing effect is improved.
For another example, the preprocessing method includes, but is not limited to, format conversion, resolution, contrast, gray scale, etc. of the image, so as to ensure that the image can be accurately extracted to the region of interest of the target to be identified.
By the method, the image to be processed is preprocessed, and the obtained image can meet the requirement of clear quality.
Referring to fig. 2, a flow chart of identification recognition in the method for packaging and picking up a pallet item according to the embodiment of the present application is shown, in which the detailed step of step S102 in fig. 1 further includes:
step S201, extracting a sensitive region of each target to be identified in the image by using an image segmentation algorithm;
the image segmentation algorithm is a technology for dividing an image into a plurality of specific areas with unique properties and providing an interested target; for example, a threshold-based segmentation method, a region-based segmentation method, an edge-based segmentation method, and a particular theory-based segmentation method.
And by a segmentation mode, the image is segmented into sensitive region areas of the targets to be recognized according to a plurality of targets to be recognized.
Step S201, identifying characters in each sensitive region in the image through an optical character identification algorithm to obtain an identification result corresponding to each target to be identified;
optical character recognition is a process of recognizing characters from an image. If the recognized sentence is analyzed lexically, the recognized sentence is corrected according to the probability of the word appearing at the initial position of the sentence, and the recognition accuracy can be improved.
Firstly, a picture is divided into a plurality of divided blocks, then, the divided blocks are compared, and the picture is classified according to similar words. The algorithm that completes the classification is called a classifier. The classifier is tested with a large number of sample inputs to derive the types that can be output when various word segmentation blocks are input, and the probabilities of the various types occurring.
Step S203, determining each recognition result as a recognition target result of a target to be recognized, and comparing the recognition target result with each recognition result except the recognition target result in terms of confidence degree and similarity respectively to correspondingly obtain a comparison result corresponding to each recognition target result;
and S204, determining target characters corresponding to each target to be recognized in the image according to the comparison result, and determining the target characters as the identification information of the target to be recognized.
When character recognition in an image is needed, obtaining the interested areas of a plurality of targets to be recognized corresponding to the image to be recognized, specifically, the interested areas of the plurality of targets to be recognized can be obtained in the process of shooting a text image to be recognized, and can also be used for sending the image to be recognized to other terminals together to form the image of each target to be recognized. It should be noted that the image to be recognized may be one image of a plurality of objects to be recognized; in the present embodiment, the number of images to be recognized may be set according to specific needs, for example, 1 image to be recognized, 4 images to be recognized, and the like may be acquired. After the target images to be recognized are obtained, recognizing text areas in the target images to be recognized through an OCR algorithm, and correspondingly obtaining recognition results corresponding to the target images to be recognized.
It should be noted that, in this embodiment, when one image to be recognized is acquired, a plurality of acquired target images to be recognized are recognized through an OCR algorithm, that is, OCR algorithm recognition is performed on the plurality of target images to be recognized in real time; or after all the images to be recognized are acquired, performing OCR algorithm recognition on a plurality of target images to be recognized together.
In this embodiment, the recognition result includes, but is not limited to, a text region to be recognized and region coordinates corresponding to the text region, and it can be understood that the region coordinates include four coordinates of an upper coordinate, a lower coordinate, a left coordinate, and a right coordinate corresponding to the text region, and the text region includes at least one text character, that is, the text region includes at least one text.
Further, the step of recognizing the text area in each image to be recognized through an OCR algorithm to obtain a recognition result corresponding to each image to be recognized includes: step a, recognizing area coordinates corresponding to text areas in the images to be recognized through an OCR algorithm, determining characters to be recognized corresponding to the text areas in the images to be recognized, and determining confidence degrees corresponding to the characters to be recognized. And b, correspondingly obtaining the recognition result of each text image to be recognized according to the region coordinate, the confidence coefficient and the character to be recognized.
Further, after a plurality of images to be recognized are obtained, region coordinates corresponding to each text region in each image to be recognized are recognized through an OCR algorithm, characters to be recognized corresponding to each text region in the image to be recognized are determined, and confidence degrees corresponding to each character to be recognized are determined. It can be understood that one image to be recognized corresponds to at least one text region, one text region corresponds to 4 region coordinate points, one text region corresponds to at least one character to be recognized, and each character to be recognized has a corresponding confidence. The confidence is obtained in the process of recognizing the characters through the OCR algorithm, the higher the value of the confidence is, the higher the accuracy of the recognized characters is, in this embodiment, the value of the confidence is greater than or equal to 0 and less than or equal to 1.
It should be noted that, in order to improve the accuracy of character recognition, the coordinate system establishment methods in the images to be recognized are the same, for example, the center point of the image is used as the origin of coordinates for each image to be recognized, or the lower left corner of the image is used as the origin of coordinates for each image to be recognized, and the unit lengths of the coordinate systems in the images to be recognized are also equal. And after obtaining the area coordinate, the confidence coefficient and the character to be recognized corresponding to each image to be recognized, obtaining the recognition result of each image to be recognized according to the area coordinate, the confidence coefficient and the character to be recognized, namely determining the area coordinate, the confidence coefficient and the character to be recognized as one part of the recognition result of each image to be recognized.
It should be noted that, in this embodiment, each image to be recognized has a unique image identifier, and the identification result carries an image identifier corresponding to the image to be recognized, and the identification result corresponding to each image to be recognized can be determined by using the image identifier. Each character to be recognized and the corresponding confidence coefficient thereof have an association relationship, so that the corresponding confidence coefficient or the character to be recognized can be determined only by determining one of the character to be recognized and the confidence coefficient through the association relationship. The character to be recognized and the corresponding text area have an association relationship, so that the text area corresponding to the character to be recognized can be determined according to the association relationship between the character to be recognized and the corresponding text area.
Referring to fig. 3, for the identifier identification flowchart in the pallet object packaging and pickup method provided in the embodiment of the present application, the detailed step of step S102 in fig. 1 further includes:
step S301, acquiring the area of the target to be recognized in the image, removing redundant backgrounds according to the upper and lower base lines of the target to be recognized, and positioning the region of interest of the target to be recognized;
specifically, a text detector is adopted to search based on a sliding window, wherein the sliding window is utilized to perform sliding search on an image, text texture features are extracted according to the search window to serve as input of a classifier, and whether the search window is a candidate area of target character information to be recognized is judged according to output of the classifier;
and obtaining a candidate region of the target to be recognized according to the overlapping rate of the candidate region of the character information of the target to be recognized in the vertical direction, and selecting an interested region corresponding to the character of the target to be recognized in the candidate region by combining the shape and the texture characteristics of the candidate region in the image.
Step S302, according to the texture characteristics of the character boundary in the region of interest of the target to be recognized, positioning the character boundary to obtain a candidate region where the character is located;
specifically, calculating the candidate character texture features in the left and right side regions of the interested region of the target to be recognized, and judging whether the candidate character texture features are character boundaries in the field according to the input and the output of a classifier, wherein the character texture features correspondingly comprise edge point change features, gradient change features and stroke continuity features;
and calculating the candidate inter-field texture features in the left and right side regions of the region of interest of the target to be recognized, and judging whether the candidate inter-character texture features are character boundaries at the field boundaries or not according to the input and output of the classifier, wherein the inter-field texture features correspondingly comprise edge point change features, gradient change features and stroke continuity features.
Step S303, recognizing the candidate region of each character to obtain a corresponding recognition confidence, averaging each character in each character path to obtain a recognition confidence mean, selecting the character path with the highest recognition confidence mean as a character recognition result, and generating a recognition result of the target to be recognized by combining the recognition results of each character in the character path.
Specifically, a single character classifier is adopted to identify candidate regions of each character, and the identification confidence of each character candidate region is obtained; the single character classifier is a neural network with a google-net structure; generating a series of character positioning paths from the character candidate areas by using an optical character recognition technology; and selecting the character positioning path with the highest confidence coefficient mean value as a character positioning result according to the recognition confidence coefficient mean value of each character in each character positioning path, and generating a recognition result of the card number row by combining the recognition results of each character in the character path.
Through the mode, the identification information of the target to be recognized in the image is recognized, and compared with a manual mode, the identification information of the target to be recognized can be recognized quickly and accurately, so that the operation efficiency is improved, the pallet object can be packed rapidly, and the identification information can be recognized accurately on a plurality of boundary lines corresponding to the target to be recognized in the image compared with a traditional character recognition mode.
Referring to fig. 4, for a cargo lifting flow chart in the pallet object packaging cargo lifting method according to the embodiment of the present application, the detailed step of step S106 in fig. 1 further includes:
step S401, license plate numbers of the vehicles are obtained, and a bill of lading of the vehicles is associated according to the license plate numbers of the vehicles, wherein the bill of lading comprises the lading demands of the lading;
specifically, each vehicle corresponds to a license plate number, the bill of lading is associated with the license plate number by filling in the license plate number, and meanwhile, the bill of lading has cargo information to be laded, such as 1000 notebooks of various products, different brands and different models.
Step S402, matching is carried out on a background server by utilizing the goods picking requirements of the goods picking bill, and a corresponding type of shipment pallet is matched according to the goods related to the goods picking requirements, wherein the shipment pallet is correspondingly associated with target information and warehouse position information;
specifically, cargo information meeting the cargo picking requirements is selected by acquiring the cargo picking requirements of the cargo picking bill and matching the cargo picking requirements one by one in a background server; on the basis of matching the goods information, matching can be performed according to the position information of the current vehicle and the warehouse storage information of the goods information, and the delivery pallet of the corresponding type is selected and matched from the matching efficiency.
And S403, displaying the license plate number or/and the delivery bill in a preset delivery port display interface according to the matched warehouse position information of the delivery pallet for the vehicle to deliver.
Specifically, before the vehicle arrives at the shipment port, the display screen of the shipment port shows the related information of the shipment at the designated shipment port through the recommendation of the background server, and guides the vehicle to arrive at the current shipment port for loading, and then calls the shipment pallet for loading.
In this embodiment, can realize the pallet shipment fast, accurately, promote the efficiency of carrying goods greatly, simultaneously, also greatly reduced the cost of links such as the storage of product, commodity circulation.
Referring to fig. 5, a monitoring flow chart of a pallet object packaging and picking method according to an embodiment of the present application further includes:
step S501, obtaining progress information of the current vehicle for loading the shipping pallet, and displaying the number and the type of the current vehicle for loading the shipping pallet at a corresponding shipping port according to the progress information;
specifically, because every shipment mouth disposes the display screen, according to the type and the quantity that the current shipment pallet of loading of vehicle, can know the current progress information that the current vehicle loaded the shipment pallet to show at the display screen.
Step S502, determining the number and the type of the shipment pallets of each shipment port, determining the residual total amount and the shipment total amount of the current shipment pallet by combining the shipment pallets stored in the warehouse, and displaying the residual total amount and the shipment total amount;
specifically, the number and the types of the shipment pallets of each shipment port are counted, the number and the types of the shipment pallets of all the shipment ports are determined, and meanwhile, the remaining total amount and the shipment total amount of the current shipment pallet are determined through operation processing through the shipment pallets, the number and the types stored in the background server, and the display is performed.
Step S503, when the residual total amount or the total shipment amount of the shipment pallet of the warehouse is monitored not to reach a preset threshold value, alarm information is generated and sent to a monitoring terminal, and an interference scheduling instruction is generated according to the residual total amount or the total shipment amount of the shipment pallet of the warehouse.
Specifically, when the remaining total amount of the shipment pallet does not reach a preset threshold value, alarm information is generated and sent to a monitoring terminal, whether future requirements are met or not is judged through the current stock of a worker, and if the future requirements are not met, the production intensity is increased, and the stock of the shipment pallet is increased; if the total shipment quantity of the shipment pallet does not reach the preset threshold value, alarm information is generated and sent to the monitoring terminal, whether the current total shipment quantity meets the requirement or not is judged through the staff, and if the current total shipment quantity cannot meet the requirement, the production effort is increased, and the stock of the shipment pallet is increased.
In this embodiment, through above-mentioned mode, can master the shipment progress in real time, simultaneously, with the license plate information of vehicle and the relevant display of bill of lading at the display screen of shipment mouth, the staff of being convenient for learns directly perceivedly that the vehicle loads the freight, realizes visual, the operation of digitalized the freight.
Taking the fact as an example, a certain warehouse has 8 goods outlets, and each goods outlet can be used for parking a vehicle for carrying goods from a pallet; acquire the delivery note that the vehicle corresponds through image scanning or image recognition mode, utilize the delivery note to match at background server, will match the result and show appointed shipment mouth, the LED screen is lighted to the shipment mouth, when the driver reachs the shipment mouth place, park the vehicle and light the position that the LED screen corresponds at present, wait for other intelligent transport dollies to transport the vehicle with the shipment pallet, every shipment pallet that loads of vehicle, utilize the shipment pallet that radio frequency technology discerned loading, feed back the LED screen and regularly synchronize to the backstage service with the discernment result, thereby at the progress that LED screen dynamic display vehicle loaded the shipment pallet.
Referring to fig. 6, a block diagram of a pallet object packing and picking device 600 according to the present application is shown; the method comprises the following steps:
the acquisition module 601 is configured to acquire an image of a target to be identified on a pallet, where the image includes identification information corresponding to each target to be identified;
an extracting module 602, configured to extract an area of interest of each target to be identified in the image, and identify identification information of the target to be identified in each area of interest;
the detection module 603 is configured to detect, according to the identification information, whether each object to be identified in the image belongs to the storage standard of the pallet, and whether the number of the objects to be identified on the pallet is correct;
the packaging module 604 is configured to package the objects on the pallet by using a packaging machine to form a shipping pallet when it is detected that the objects to be identified corresponding to the multiple location planes of the pallet belong to the storage standard of the pallet and the number of the objects to be identified on the pallet is correct;
an information association module 605, configured to bind the shelf number of the shipment pallet with the target information of the shipment pallet and the warehouse location information, and store the bound information in a background server in an associated manner;
and the goods picking module 606 is used for acquiring a goods picking order corresponding to the vehicle, matching the goods picking order according to the goods picking requirement of the goods picking order in a background server, and displaying the goods information meeting the goods picking requirement at a corresponding goods outlet for the vehicle to pick up the goods.
It should be noted that the pallet object packaging and picking device and the pallet object packaging and picking method are in a one-to-one correspondence relationship, and here, technical details and technical effects of each module and the above steps are the same, and are not described in detail herein, please refer to the above pallet object packaging and picking method.
As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 707 is also connected to bus 704.
Generally, the following devices may be connected to the I/O interface 707: input devices 707 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. A computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this embodiment, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may be separate and not incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:
step S101, acquiring an image of a target to be recognized on a pallet, wherein the image comprises identification information corresponding to each target to be recognized;
step S102, extracting the interested areas of the targets to be identified in the image, and identifying the identification information of the targets to be identified in the interested areas;
step S103, detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
step S104, when the objects to be identified corresponding to a plurality of positions of the pallet are detected to belong to the storage standard of the pallet and the number of the objects to be identified on the pallet is correct, packaging the objects on the pallet by using a packaging machine to form a delivery pallet;
step S105, binding the shelf number of the shipment pallet with the target information and warehouse position information of the shipment pallet, and storing the bound shelf number, the target information and the warehouse position information in a background server in a correlated manner;
and S106, acquiring a delivery bill corresponding to the vehicle, matching the delivery bill at a background server according to the delivery requirement of the delivery bill, and displaying the cargo information meeting the delivery requirement at a corresponding outlet for vehicle delivery.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments disclosed herein. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In conclusion, the method and the device have the advantages that the image of the target to be recognized on the pallet is collected, the identification information corresponding to the target to be recognized in the image is recognized, the type of the target to be recognized on the pallet is rapidly and accurately determined through the identification information, and the pallet is quickly wrapped with the film and packaged into the shipment pallet; simultaneously, the goods information and the positional information of pallet are correlated and stored to the rear end server according to the goods shelves number of pallet, and when receiving the vehicle and corresponding the delivery note, match at the background server according to the delivery demand of delivery note, will accord with the goods information display of delivery demand supplies the vehicle to deliver at corresponding shipment mouth, can realize visual, digital control product shipment information, has improved product shipment efficiency greatly. Therefore, the application effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles and utilities of the present application and are not intended to limit the application. Any person skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present application. 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 concepts disclosed in the present application shall be covered by the claims of the present application.

Claims (10)

1. A pallet object packaging and picking method is characterized by comprising the following steps:
acquiring an image of a target to be recognized on a pallet, wherein the image comprises identification information corresponding to each target to be recognized;
extracting the interested areas of the targets to be identified in the image, and identifying the identification information of the targets to be identified in the interested areas;
detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
when the objects to be identified corresponding to the plurality of positions of the pallet are detected to belong to the storage standard of the pallet and the number of the objects to be identified on the pallet is correct, packaging the objects on the pallet by using a packaging machine to form a delivery pallet;
binding the shelf number of the shipment pallet with the target information and warehouse position information of the shipment pallet, and storing the bound shelf number and the target information and warehouse position information in a background server in a correlated manner;
and acquiring a delivery bill corresponding to the vehicle, matching the delivery demand of the delivery bill at a background server, and displaying the cargo information meeting the delivery demand at a corresponding outlet for vehicle delivery.
2. The pallet item packaging and pickup method of claim 1 wherein said step of obtaining an image of an object to be identified on the pallet comprises:
the pallet is placed on a rotatable turntable, a plurality of targets to be identified are stacked on the pallet, and the identification information is attached to the outer surface of one side of the targets to be identified;
and adjusting the rotation angle of the rotary table until the camera is used for collecting the images corresponding to the pallet on different planes.
3. The pallet item packaging and pickup method according to claim 1 or 2 wherein said step of extracting the region of interest of each object to be identified in said image is preceded by the steps of:
determining a binary image of an image area where each boundary of the target to be recognized is located based on the image to be processed;
for each boundary, acquiring a plurality of line segments from a binary image of an image area where the boundary is located, wherein the line segments are respectively composed of a plurality of pixel points with gray values as first numerical values;
and preprocessing the binary image of the image area where the boundary is located based on the line segments to obtain a preprocessed image.
4. The pallet item packaging and pickup method according to claim 1, wherein said step of extracting regions of interest of each object to be identified in said image and identifying identification information of the object to be identified in each of said regions of interest comprises:
extracting a sensitive region of each target to be identified in the image by using an image segmentation algorithm;
identifying characters in each sensitive region in the image through an optical character identification algorithm to obtain an identification result corresponding to each target to be identified;
respectively determining each recognition result as a recognition target result of a target to be recognized, and respectively comparing the recognition target result with each recognition result except the recognition target result in terms of confidence coefficient and similarity to correspondingly obtain a comparison result corresponding to each recognition target result;
and determining target characters corresponding to each target to be recognized in the image according to the comparison result, and determining the target characters as the identification information of the target to be recognized.
5. The pallet item packaging and pickup method according to claim 1 wherein said step of extracting the regions of interest of each object to be identified in said image and identifying the identification information of the object to be identified in each of said regions of interest comprises:
acquiring the area of the target to be recognized in the image, removing redundant backgrounds according to the upper and lower baselines of the target to be recognized, and positioning the region of interest of the target to be recognized;
according to the texture characteristics of the character boundary in the region of interest of the target to be recognized, positioning the character boundary to obtain a candidate region where the character is located;
and identifying the candidate region of each character to obtain a corresponding identification confidence coefficient, averaging each character in each character path to obtain an identification confidence coefficient average value, selecting the character path with the highest identification confidence coefficient average value as a character identification result, and generating the identification result of the target to be identified by combining the identification results of each character in the character path.
6. The pallet object packaging and pickup method according to claim 1, wherein said step of obtaining a pickup order corresponding to a vehicle, matching at a background server according to a pickup requirement of the pickup order, and displaying cargo information meeting the pickup requirement at a corresponding outlet for vehicle pickup comprises:
acquiring the license plate number of the vehicle, and associating a bill of lading to be carried by the vehicle according to the license plate number of the vehicle, wherein the bill of lading comprises the lading requirement of the lading;
matching the goods taking demands of the goods taking orders by a background server, and matching the corresponding types of shipment pallets according to the goods related to the goods taking demands, wherein the shipment pallets are correspondingly associated with target information and warehouse position information;
and displaying the license plate number or/and a delivery bill in a preset delivery port display interface according to the matched warehouse position information of the delivery pallet for the vehicle to deliver.
7. The pallet item packaging and pickup method of claim 1 further comprising:
acquiring progress information of the current shipment pallet loaded by the vehicle, and displaying the quantity and the type of the current shipment pallet loaded by the vehicle at a corresponding shipment port according to the progress information;
determining the number and the type of the shipment pallets of each shipment port, determining the residual total amount and the shipment total amount of the current shipment pallets by combining the shipment pallets stored in the warehouse, and displaying the residual total amount and the shipment total amount;
and when the monitoring shows that the residual total amount or the shipment total amount of the shipment pallet in the warehouse does not reach the preset threshold value, generating alarm information and sending the alarm information to a monitoring terminal, and generating an interference scheduling instruction according to the residual total amount or the shipment total amount of the shipment pallet in the warehouse.
8. A pallet object packaging and pickup device, characterized in that said device comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring an image of a target to be recognized on a pallet, and the image comprises identification information corresponding to each target to be recognized;
the extraction module is used for extracting the interested areas of the targets to be identified in the image and identifying the identification information of the targets to be identified in the interested areas;
the detection module is used for detecting whether each target to be identified in the image belongs to the storage standard of the pallet or not and whether the quantity of each target to be identified on the pallet is correct or not according to the identification information;
the packaging module is used for packaging and packaging the targets on the pallet by using a packaging machine to form a delivery pallet when the fact that the targets to be identified corresponding to the multiple positions of the pallet belong to the storage standard of the pallet and the number of the targets to be identified on the pallet is correct is detected;
the information association module is used for binding the shelf number of the delivery pallet with the target information of the delivery pallet and the warehouse position information, and storing the information association module in a background server in an associated manner;
and the goods picking module is used for acquiring a goods picking order corresponding to the vehicle, matching the goods picking order in a background server according to the goods picking requirement of the goods picking order, and displaying the goods information meeting the goods picking requirement at a corresponding goods outlet for vehicle goods picking.
9. An electronic device, characterized in that: the method comprises the following steps:
one or more processing devices;
a memory for storing one or more programs; when executed by the one or more processing devices, cause the one or more processing devices to implement the pallet item packing and pickup method as described in any one of claims 1 through 7.
10. A computer readable storage medium having stored thereon a computer program for causing a computer to perform the method of packaging and picking a pallet item according to any one of claims 1 to 7.
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