CN117557939A - Method, device and storage medium for detecting package - Google Patents

Method, device and storage medium for detecting package Download PDF

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Publication number
CN117557939A
CN117557939A CN202311528090.7A CN202311528090A CN117557939A CN 117557939 A CN117557939 A CN 117557939A CN 202311528090 A CN202311528090 A CN 202311528090A CN 117557939 A CN117557939 A CN 117557939A
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package
actual
target
determining
ordering
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朱晓雅
南一冰
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China United Network Communications Group Co Ltd
Unicom Digital Technology Co Ltd
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China United Network Communications Group Co Ltd
Unicom Digital Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06T7/00—Image analysis
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/30—Subject of image; Context of image processing
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30242—Counting objects in image
    • 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

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Abstract

The application provides a package detection method, package detection equipment and a storage medium, which are applied to the field of supply chain management. The method comprises the following steps: acquiring real-time monitoring video and pipeline information of a target pipeline; determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information; determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering; and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. The method of the application achieves the technical effects of improving the package detection accuracy and improving the detection data integrity.

Description

Method, device and storage medium for detecting package
Technical Field
The present disclosure relates to the field of supply chain management, and in particular, to a method and apparatus for detecting packages, and a storage medium.
Background
With the rapid development of electronic commerce, the number of product orders and packages increases, and checking for product orders becomes an important direction in supply chain management; the method mainly utilizes computer vision and machine learning technology to realize automatic detection and classification of packages on a production line aiming at production line order management in the tobacco industry.
In the existing tobacco packet flow line order comparison technology, the phenomena of tobacco packet loss and mess with a certain probability occur after the flow line order comparison, and in the prior art, the error searching of the order is carried out by a manual rechecking mode; in the existing tobacco package assembly line order comparison technology, image detection is mainly carried out by using a computer vision technology, image analysis is carried out, so that tobacco package information on an assembly line is obtained, and the tobacco package information is compared with information in an actual order, so that assembly line order comparison is realized.
In the prior art, because the manual review mode lacks accuracy in error lookup, a certain degree of package sorting error exists; the method for acquiring the information of the cigarette packets of the assembly line through image detection mainly comprises the steps of identifying based on the bar codes of the cigarette packets or detecting by utilizing the outer package, and when the method is applied to an actual use scene, the problems of image repetition and image omission exist; therefore, in the existing pipeline package detection technology, the technical problems of low package detection accuracy and low detection data integrity exist.
Disclosure of Invention
The application provides a method, equipment and storage medium for detecting packages, which are used for solving the technical problems of low package detection accuracy and low detection data integrity existing in the existing assembly line package detection technology.
In a first aspect, the present application provides a method for detecting a package, including:
acquiring real-time monitoring video and pipeline information of a target pipeline;
determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information;
determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering;
and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering.
Optionally, determining the actual package type and the actual package coordinates of the target pipeline based on the real-time monitoring video, and determining the actual package ordering includes:
judging whether the actual package enters a preset monitoring area or not based on the real-time monitoring video;
if so, determining a first moment when the actual package enters the preset monitoring area, acquiring an actual package type and an actual package coordinate corresponding to the actual package based on a preset detection frame when the moment when the actual package enters the preset monitoring area for the first time is the first moment, and determining the corresponding actual package ordering.
Optionally, determining whether the actual package enters the preset monitoring area based on the real-time monitoring video includes:
Performing video decoding on the real-time monitoring video, and determining a decoding picture corresponding to each frame of real-time monitoring video;
detecting actual packages based on the decoded pictures, and determining the integrity of the actual packages when the actual packages are detected in the decoded pictures; judging whether the integrity of the actual package in the decoded picture meets a preset condition or not; if yes, determining that the actual package enters a preset monitoring area.
Optionally, acquiring an actual package type and an actual package coordinate corresponding to an actual package based on a preset detection frame, and determining a corresponding actual package ordering, including:
cutting the decoding picture corresponding to the first moment based on a preset detection frame to determine a package picture;
classifying and identifying based on the parcel pictures, and acquiring the corresponding actual parcel types in the parcel pictures, the number of the actual parcels corresponding to each actual parcel type and the actual parcel coordinates;
and determining the actual package ordering corresponding to the actual packages based on the actual package types, the number of the actual packages corresponding to each actual package type and the actual package coordinates.
Optionally, when the actual packages are tobacco packages, each tobacco package includes a plurality of tobacco singles, determining an actual package type and an actual package coordinate of the target assembly line based on the real-time monitoring video, and determining an actual package ordering, including:
Determining a tobacco single item type and a tobacco single item coordinate corresponding to the tobacco package of the target assembly line based on the real-time monitoring video;
determining the number of tobacco single products corresponding to each tobacco single product type based on the tobacco single product type and the tobacco single product coordinates;
determining a tobacco package sequence based on the tobacco single type, the number of tobacco single products corresponding to each tobacco single type and the tobacco single product coordinates; the tobacco package ordering is used for representing position arrangement information of a plurality of tobacco single products in the tobacco package.
Optionally, determining the actual package type and the actual package coordinates of the target pipeline based on the real-time monitoring video, and determining the actual package ordering, further includes:
when the decoded picture comprises an interference target, acquiring an interference area corresponding to the interference target, and calculating the superposition area of the interference area and the actual package;
when the overlapping area is larger than a preset threshold, sending out first alarm information for indicating that the actual package is blocked, and determining the interference duration based on a second moment corresponding to the current decoding picture and a third moment corresponding to the unblocked decoding picture with the overlapping area smaller than the preset threshold;
an interference handling countermeasure is determined based on the interference duration.
Optionally, determining the interference processing countermeasure based on the interference duration includes:
when the interference duration is smaller than a second preset duration, determining an actual package type and an actual package ordering corresponding to the actual package based on the de-occlusion decoding picture, and based on the actual package ordering;
and when the interference time length is greater than or equal to a second preset time length, initiating second alarm information of package detection abnormality.
Optionally, determining the package detection result of the target pipeline based on the target package type and the actual package type, the target package ordering and the actual package ordering includes:
when the target package type is consistent with the actual package type and the target package ordering is consistent with the actual package ordering, the package detection result is normal detection;
when the target package type is inconsistent with the actual package type, the package detection result is that the package type is abnormal;
when the target parcel ordering is inconsistent with the actual parcel ordering, the parcel detection result is that the parcel ordering is abnormal.
In a second aspect, the present application provides a parcel detection apparatus comprising:
the acquisition module is used for acquiring real-time monitoring video and pipeline information of the target pipeline;
the determining module is used for determining the target package type and the target package ordering of the target pipeline in a first preset duration based on the pipeline information;
The first processing module is used for determining the actual package type and the actual package coordinates of the target assembly line based on the real-time monitoring video and determining the actual package ordering;
and the second processing module is used for determining the package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering.
Optionally, the device is further configured to:
judging whether the actual package enters a preset monitoring area or not based on the real-time monitoring video;
if so, determining a first moment when the actual package enters the preset monitoring area, acquiring an actual package type and an actual package coordinate corresponding to the actual package based on a preset detection frame when the moment when the actual package enters the preset monitoring area for the first time is the first moment, and determining the corresponding actual package ordering.
Optionally, the device is further configured to:
performing video decoding on the real-time monitoring video, and determining a decoding picture corresponding to each frame of real-time monitoring video;
detecting actual packages based on the decoded pictures, and determining the integrity of the actual packages when the actual packages are detected in the decoded pictures; judging whether the integrity of the actual package in the decoded picture meets a preset condition or not; if yes, determining that the actual package enters a preset monitoring area.
Optionally, the device is further configured to:
cutting the decoding picture corresponding to the first moment based on a preset detection frame to determine a package picture;
classifying and identifying based on the parcel pictures, and acquiring the corresponding actual parcel types in the parcel pictures, the number of the actual parcels corresponding to each actual parcel type and the actual parcel coordinates;
and determining the actual package ordering corresponding to the actual packages based on the actual package types, the number of the actual packages corresponding to each actual package type and the actual package coordinates.
Optionally, the device is further configured to:
determining a tobacco single item type and a tobacco single item coordinate corresponding to the tobacco package of the target assembly line based on the real-time monitoring video;
determining the number of tobacco single products corresponding to each tobacco single product type based on the tobacco single product type and the tobacco single product coordinates;
determining a tobacco package sequence based on the tobacco single type, the number of tobacco single products corresponding to each tobacco single type and the tobacco single product coordinates; the tobacco package ordering is used for representing position arrangement information of a plurality of tobacco single products in the tobacco package.
Optionally, the device is further configured to:
when the decoded picture comprises an interference target, acquiring an interference area corresponding to the interference target, and calculating the superposition area of the interference area and the actual package;
When the overlapping area is larger than a preset threshold, sending out first alarm information for indicating that the actual package is blocked, and determining the interference duration based on a second moment corresponding to the current decoding picture and a third moment corresponding to the unblocked decoding picture with the overlapping area smaller than the preset threshold;
an interference handling countermeasure is determined based on the interference duration.
Optionally, the device is further configured to:
when the interference duration is smaller than a second preset duration, determining an actual package type and an actual package ordering corresponding to the actual package based on the de-occlusion decoding picture, and based on the actual package ordering;
and when the interference time length is greater than or equal to a second preset time length, initiating second alarm information of package detection abnormality.
Optionally, the device is further configured to:
when the target package type is consistent with the actual package type and the target package ordering is consistent with the actual package ordering, the package detection result is normal detection;
when the target package type is inconsistent with the actual package type, the package detection result is that the package type is abnormal;
when the target parcel ordering is inconsistent with the actual parcel ordering, the parcel detection result is that the parcel ordering is abnormal.
In a third aspect of the present application, there is provided a parcel detection apparatus comprising:
A processor and a memory;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to cause the package detection device to perform the package detection method of any of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, are adapted to carry out the method of detecting a package as in any of the first aspects.
The application provides a method, equipment and storage medium for detecting packages. The method comprises the following steps: acquiring real-time monitoring video and pipeline information of a target pipeline; determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information; determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering; and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. Acquiring type information and ordering information of an actual package in a real-time monitoring video detection mode; compared with the prior art, the method and the device have the advantages that the information of each frame of image in the video is obtained through decoding the real-time monitoring video, and the package detection and information extraction are carried out based on the decoded image information, so that the integrity and timeliness of information acquisition are improved, and meanwhile, the type and the ordering of the current package are confirmed by comparing the information obtained by the video with package information corresponding to assembly line information; thereby ensuring the accuracy of package transmission on the assembly line; according to the method and the device, the real-time detection result is displayed, so that the field staff of the package assembly line is reminded of the current package condition, timely information feedback is realized, and the package error information is timely processed; thereby realizing the technical effects of improving the package detection accuracy and improving the detection data integrity.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a method for detecting a package according to an embodiment of the present application;
FIG. 2 is a second flowchart of a method for detecting packages according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of identifying a package applied to package detection according to an embodiment of the present application;
fig. 4 is a flowchart one of a method for detecting a tobacco package according to an embodiment of the present application;
fig. 5 is a second flowchart of a method for detecting a tobacco package according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a package detection device according to an embodiment of the present application;
fig. 7 is a hardware configuration diagram of a package detection device according to an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
In the prior art, when the orders of the cigarette packet assembly line are compared, aiming at the phenomenon of cigarette packet loss, the error searching of the orders is mainly carried out in a manual rechecking mode; meanwhile, the assembly line order comparison mode mainly comprises the steps of carrying out image detection by using a computer vision technology, carrying out image analysis, thus obtaining the tobacco package information on the assembly line, and comparing with the information in the actual order, thus realizing assembly line order comparison. In the prior art, because the manual review mode cannot perform error lookup with high accuracy, a certain degree of packet picking disorder exists; the method for acquiring the information of the cigarette packets of the assembly line through image detection mainly comprises the steps of identifying based on the bar codes of the cigarette packets or detecting by utilizing the outer package, and when the method is applied to an actual use scene, the problems of image repetition and image omission exist; therefore, in the existing pipeline package detection technology, the technical problems of low package detection accuracy and low detection data integrity exist.
The application provides a method, equipment and storage medium for detecting packages. The method comprises the following steps: acquiring real-time monitoring video and pipeline information of a target pipeline; determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information; determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering; and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. Acquiring type information and ordering information of an actual package in a real-time monitoring video detection mode; compared with the prior art, the method and the device have the advantages that the information of each frame of image in the video is obtained through decoding the real-time monitoring video, and the package detection and information extraction are carried out based on the decoded image information, so that the integrity and timeliness of information acquisition are improved, and meanwhile, the type and the ordering of the current package are confirmed by comparing the information obtained by the video with package information corresponding to assembly line information; thereby ensuring the accuracy of package transmission on the assembly line; according to the method and the device, the real-time detection result is displayed, so that the field staff of the package assembly line is reminded of the current package condition, timely information feedback is realized, and the package error information is timely processed; thereby realized improving the parcel and detected the accurate and promote the technical effect of detecting the data integrality, solved the parcel that exists among the prior art and detected the accurate low and detect the low technical problem of data integrality.
The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for detecting a package according to an embodiment of the present application. As shown in fig. 1, the method for detecting a package provided in the embodiment of the present application includes:
s101, acquiring real-time monitoring video and pipeline information of a target pipeline;
in this embodiment, the method for acquiring the real-time monitoring video of the target pipeline may be: installing a high-definition camera at an outlet of the assembly line, and acquiring a real-time monitoring video based on the high-definition camera; the acquisition mode of the pipeline information can be as follows: and acquiring current pipeline information by accessing an enterprise internal order management system corresponding to the pipeline.
S102, determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information;
in this embodiment, the first preset duration may not exceed the duration that the target package is transmitted on the assembly line and the image information can be monitored and captured, so as to ensure that the actual package corresponding to the target package can be detected in the real-time monitoring video, thereby realizing the information comparison between the target package and the actual package.
S103, determining the actual package type and the actual package coordinates of the target assembly line based on the real-time monitoring video, and determining the actual package ordering;
in this embodiment, decoding is performed based on real-time monitoring video, information extraction is performed on each frame of video, when an actual package is detected, an actual package type and an actual package coordinate in the actual package are determined through image analysis and cutting, the number of the actual packages corresponding to each type is obtained, and the actual package ordering is determined through combination of the number, the coordinates and the types.
S104, determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering.
In this embodiment, the package detection result includes: the package types and package orders are consistent, the package types are inconsistent, the package orders are inconsistent, and the package types and package orders are inconsistent.
The application provides a method for detecting packages. The method comprises the following steps: acquiring real-time monitoring video and pipeline information of a target pipeline; determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information; determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering; and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. Acquiring type information and ordering information of an actual package in a real-time monitoring video detection mode; compared with the prior art, the method and the device have the advantages that the information of each frame of image in the video is obtained through decoding the real-time monitoring video, and the package detection and information extraction are carried out based on the decoded image information, so that the integrity and timeliness of information acquisition are improved, and meanwhile, the type and the ordering of the current package are confirmed by comparing the information obtained by the video with package information corresponding to assembly line information; thereby ensuring the accuracy of package transmission on the assembly line; according to the method and the device, the real-time detection result is displayed, so that the field staff of the package assembly line is reminded of the current package condition, timely information feedback is realized, and the package error information is timely processed; thereby realizing the technical effects of improving the package detection accuracy and improving the detection data integrity.
Fig. 2 is a second flowchart of a method for detecting a package according to an embodiment of the present application, and fig. 3 is a schematic diagram of identifying a package according to an embodiment of the present application, where the schematic diagram is applied to package detection. As shown in fig. 2 and fig. 3, the method for detecting a package provided in the embodiment of the present application includes:
s201, acquiring real-time monitoring video and pipeline information of a target pipeline;
s202, determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information;
in this embodiment, by acquiring pipeline information, target package information in the pipeline information is queried, and a corresponding target package type and target package ordering are acquired.
S203, video decoding is carried out on the real-time monitoring video, and decoding pictures corresponding to each frame of real-time monitoring video are determined; detecting actual packages based on the decoded pictures, and determining the integrity of the actual packages when the actual packages are detected in the decoded pictures; judging whether the integrity of the actual package in the decoded picture meets a preset condition or not; if yes, determining that the actual package enters a preset monitoring area;
in this embodiment, the integrity confirmation of the actual package may be: acquiring a position area of an actual package relative to a camera or a conveyor belt, judging whether the position area of the actual package belongs to a preset monitoring area, and if so, indicating that the actual package enters the preset monitoring area; wherein the relation between the package position area and the preset monitoring area is represented by the package integrity.
In a first example, a camera is installed at an outlet of a production line, a real-time monitoring video is acquired based on the camera, and a preset monitoring area is set; decoding and analyzing the real-time monitoring video to obtain a position area of the actual package relative to the camera or the conveyor belt; setting a preset monitoring area as M, setting a position area as C, calculating the intersection of C and M, and calculating the intersection by the formula: s= (C n M)/C to calculate whether the location area belongs to the preset monitoring area, when the value of S is 1, it indicates that the actual package enters the preset monitoring area.
As shown in fig. 3, in the second example, each frame of real-time video is 300 in decoding picture, and the preset monitoring area 301 is an area for judging whether the real package meets the clipping and classification recognition conditions when analyzing the real-time video; the location area 302 of the actual package is a complete picture of the actual package obtained based on a decoded picture after the decoding of the preset monitoring video; for each sub-package in the actual package 302, there are a plurality of preset detection frames for cutting the actual package 302 and obtaining a cut package picture; in this example, four preset detection frames 303, 304, 305, and 306 are included, and each preset detection frame corresponds to a sub-package in an actual package, and is used for cutting each sub-package in the actual package and obtaining a package picture.
S204, determining a first moment when an actual package enters a preset monitoring area, and when the moment when the actual package enters the preset monitoring area for the first time is the first moment, cutting a decoding picture corresponding to the first moment based on a preset detection frame to determine a package picture; classifying and identifying based on the parcel pictures, and acquiring the corresponding actual parcel types in the parcel pictures, the number of the actual parcels corresponding to each actual parcel type and the actual parcel coordinates; determining an actual package sequence corresponding to the actual packages based on the actual package types, the number of the actual packages corresponding to each actual package type and the actual package coordinates;
in this embodiment, when an actual package enters a preset monitoring area, a current time corresponding to a decoded picture when the actual package is detected to enter the preset monitoring area is obtained; inquiring whether the decoded picture corresponding to the last moment of the current moment detects that the actual package enters a preset monitoring area or not, if yes, the current moment is not that the actual package enters the preset monitoring area for the first time; if not, the current moment is the actual package, the actual package enters the preset monitoring area for the first time, and the current moment is determined to be the first moment.
In this embodiment, if there are multiple actual packages on the assembly line at the same time, a detection device may be installed at the outlet of the assembly line, and detect all the actual packages on the assembly line, and mark the actual packages to determine the uniqueness of the actual packages; when the actual package enters the preset monitoring area, judging whether the package enters the preset monitoring area for the first time or not through the mark of the package, and determining at the first moment.
In the embodiment, the decoded pictures are cut based on a preset detection frame, the package pictures are obtained, and the package type corresponding to each package picture is obtained by classifying and identifying the package pictures; the number of packages can be calculated according to different types, so that the number of actual packages corresponding to each actual package type is obtained; meanwhile, two-dimensional coordinates of a preset detection frame can be set, and actual package coordinates are obtained according to the two-dimensional coordinates and the number of packages, wherein the actual package coordinates refer to coordinates of each individual sub-package in the actual package, and the actual package types and the actual package sequences corresponding to the actual packages are obtained through the modes of coordinate division, number acquisition and type identification.
S205, when the actual packages are tobacco packages, each tobacco package comprises a plurality of tobacco single products; determining a tobacco single item type and a tobacco single item coordinate corresponding to the tobacco package of the target assembly line based on the real-time monitoring video; determining the number of tobacco single products corresponding to each tobacco single product type based on the tobacco single product type and the tobacco single product coordinates; determining a tobacco package sequence based on the tobacco single type, the number of tobacco single products corresponding to each tobacco single type and the tobacco single product coordinates;
In this embodiment, the tobacco package ordering is used to characterize the positional arrangement information of the plurality of tobacco individual articles in the tobacco package.
S206, when the decoded picture comprises an interference target, acquiring an interference area corresponding to the interference target, and calculating the superposition area of the interference area and the actual package; when the overlapping area is larger than a preset threshold, sending out first alarm information for indicating that the actual package is blocked, and determining the interference duration based on a second moment corresponding to the current decoding picture and a third moment corresponding to the unblocked decoding picture with the overlapping area smaller than the preset threshold;
in this embodiment, there are a plurality of interference targets, and an interference area of each interference target is calculated, where when an overlapping area of any one interference area and an actual package is greater than a preset threshold, first alarm information for indicating that the actual package is blocked is sent.
In a third example, F represents an interference area of an interference target, C represents an actual package, and N represents a preset threshold; calculating the superposition area W= (F N C)/F of the actual package and the interference area, when the superposition area W is larger than N, indicating that the interference target influences the actual package detection, recording the second moment when W is larger than N, and recording the third moment when W is smaller than or equal to N; and obtaining the interference duration by calculating the difference between the third moment and the second moment.
S207, when the interference duration is smaller than a second preset duration, determining an actual package type and an actual package ordering corresponding to the actual package based on the de-occlusion decoding picture, and based on the actual package ordering; when the interference time length is greater than or equal to a second preset time length, initiating second alarm information of package detection abnormality;
in this embodiment, when the interference duration is less than the second preset duration, the actual package that generates shielding is still in the range of the preset monitoring area, so that the actual package detection can be continued; when the interference time length is greater than or equal to the second preset time length, the actual package which generates shielding does not exist in the detection range of the preset monitoring area, the target package information of the assembly line is updated, and normal package information comparison cannot be performed.
S208, when the target parcel type is consistent with the actual parcel type and the target parcel ordering is consistent with the actual parcel ordering, the parcel detection result is that the detection is normal; when the target package type is inconsistent with the actual package type, the package detection result is that the package type is abnormal; when the target parcel ordering is inconsistent with the actual parcel ordering, the parcel detection result is that the parcel ordering is abnormal.
In this embodiment, the detection result of the package may be indicated by means of a signal lamp; indicated by green signal lights when normal is detected, indicated by red signal lights when package type is abnormal, and indicated by yellow signal lights when package ordering is abnormal.
S201 to S208 are executed, actual package information on a production line is obtained by utilizing a real-time monitoring video, and the information of the target packages of the ice river is compared, so that the accuracy of the packages is judged; adding an interference target into actual package detection, accurately detecting the actual package, and acquiring complete actual package information; acquiring a first moment when an actual package enters the preset monitoring range by using the preset monitoring range, and avoiding repeated detection of the actual package; thereby realizing the technical effects of improving the package detection accuracy and improving the detection data integrity.
Fig. 4 is a flowchart one of a method for detecting a tobacco package provided in an embodiment of the present application, and fig. 5 is a flowchart two of a method for detecting a tobacco package provided in an embodiment of the present application. As shown in fig. 4 to 5, the tobacco package detection method provided in the embodiment of the present application includes: acquiring a real-time monitoring video through an outlet high-definition camera of the assembly line; an enterprise intranet of the butt joint assembly line acquires a real-time serial number of the outlet electric control machine; acquiring a target tobacco single product type and a target tobacco single product sequence corresponding to the real-time serial number in a database list based on the real-time serial number; identifying the actual tobacco single product type and the actual tobacco single product ordering on the current assembly line based on the real-time monitoring video; comparing the target tobacco single product type with the actual tobacco single product type, comparing the target tobacco single product sequence with the actual tobacco single product sequence, acquiring an analysis result, realizing abnormal alarm notification based on the analysis result, and storing the analysis result; the monitoring function, the comparison analysis function, and the analysis result management function in the present embodiment can be managed by the design management platform.
Wherein the identification of tobacco package type and ordering comprises: performing video decoding based on the acquired real-time monitoring video, and acquiring a decoding picture corresponding to a single frame; judging whether an actual tobacco package is detected or not based on the decoded picture, and judging whether the actual tobacco package enters a preset monitoring area or not; if the actual tobacco package enters the preset monitoring area, judging whether the actual tobacco package is detected at the previous moment and whether the actual tobacco package enters the preset monitoring area based on the moment corresponding to the current decoded picture, if so, detecting the actual tobacco package based on a preset detection frame, dividing the picture corresponding to each actual tobacco single item, classifying and detecting the picture, acquiring the type, the coordinates and the quantity of the actual tobacco single items, and determining the corresponding actual tobacco single item ordering.
The application provides a method for detecting packages. The method comprises the following steps: acquiring real-time monitoring video and pipeline information of a target pipeline; determining a target package type and a target package ordering of a target pipeline in a first preset duration based on pipeline information; determining the actual package type and the actual package coordinates of a target assembly line based on the real-time monitoring video, and determining the actual package ordering; and determining a package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. When the actual package detection is carried out, the interference target judgment and the judgment of whether the actual package enters the monitoring area are added, and the integrity of the actual package information and the accuracy of analysis and passing are ensured while the actual package information is obtained in real time; compared with the prior art, the method and the device for processing the video decoding of the real-time monitoring have the advantages that the integrity and timeliness of information acquisition are guaranteed by analyzing the image of each frame; comparing the information acquired by the video with package information corresponding to the assembly line information to confirm whether the type and the ordering of the current package are correct or not; the accuracy of package transmission on the assembly line is ensured; according to the method and the device, the real-time detection result is displayed, so that the field staff of the package assembly line is reminded of the current package condition, timely information feedback is realized, and the package error information is timely processed; on the basis of the prior art, the package is divided through the preset detection frame, and the actual package type information is acquired through the classified detection, so that the accuracy of package information detection is improved; thereby realizing the technical effects of improving the package detection accuracy and improving the detection data integrity.
Fig. 6 is a schematic structural diagram of a package detection device according to an embodiment of the present application. The apparatus of this embodiment may be in the form of software and/or hardware. As shown in fig. 6, an apparatus 600 for detecting a package according to an embodiment of the present application includes: an acquisition module 601, a determination module 602, a first processing module 603 and a second processing module 604,
the acquisition module 601 is configured to acquire real-time monitoring video and pipeline information of a target pipeline;
a determining module 602, configured to determine, based on the pipeline information, a target package type and a target package ordering of the target pipeline within a first preset duration;
a first processing module 603, configured to determine an actual package type and an actual package coordinate of the target pipeline based on the real-time monitoring video, and determine an actual package ordering;
a second processing module 604 is configured to determine a package detection result of the target pipeline based on the target package type and the actual package type, the target package ordering, and the actual package ordering.
In a possible implementation, the device is further configured to:
judging whether the actual package enters a preset monitoring area or not based on the real-time monitoring video;
if so, determining a first moment when the actual package enters the preset monitoring area, acquiring an actual package type and an actual package coordinate corresponding to the actual package based on a preset detection frame when the moment when the actual package enters the preset monitoring area for the first time is the first moment, and determining the corresponding actual package ordering.
In a possible implementation, the device is further configured to:
performing video decoding on the real-time monitoring video, and determining a decoding picture corresponding to each frame of real-time monitoring video;
detecting actual packages based on the decoded pictures, and determining the integrity of the actual packages when the actual packages are detected in the decoded pictures; judging whether the integrity of the actual package in the decoded picture meets a preset condition or not; if yes, determining that the actual package enters a preset monitoring area.
In a possible implementation, the device is further configured to:
cutting the decoding picture corresponding to the first moment based on a preset detection frame to determine a package picture;
classifying and identifying based on the parcel pictures, and acquiring the corresponding actual parcel types in the parcel pictures, the number of the actual parcels corresponding to each actual parcel type and the actual parcel coordinates;
and determining the actual package ordering corresponding to the actual packages based on the actual package types, the number of the actual packages corresponding to each actual package type and the actual package coordinates.
In a possible implementation, the device is further configured to:
determining a tobacco single item type and a tobacco single item coordinate corresponding to the tobacco package of the target assembly line based on the real-time monitoring video;
Determining the number of tobacco single products corresponding to each tobacco single product type based on the tobacco single product type and the tobacco single product coordinates;
determining a tobacco package sequence based on the tobacco single type, the number of tobacco single products corresponding to each tobacco single type and the tobacco single product coordinates; the tobacco package ordering is used for representing position arrangement information of a plurality of tobacco single products in the tobacco package.
In a possible implementation, the device is further configured to:
when the decoded picture comprises an interference target, acquiring an interference area corresponding to the interference target, and calculating the superposition area of the interference area and the actual package;
when the overlapping area is larger than a preset threshold, sending out first alarm information for indicating that the actual package is blocked, and determining the interference duration based on a second moment corresponding to the current decoding picture and a third moment corresponding to the unblocked decoding picture with the overlapping area smaller than the preset threshold;
an interference handling countermeasure is determined based on the interference duration.
In a possible implementation, the device is further configured to:
when the interference duration is smaller than a second preset duration, determining an actual package type and an actual package ordering corresponding to the actual package based on the de-occlusion decoding picture, and based on the actual package ordering;
And when the interference time length is greater than or equal to a second preset time length, initiating second alarm information of package detection abnormality.
In a possible implementation, the device is further configured to:
when the target package type is consistent with the actual package type and the target package ordering is consistent with the actual package ordering, the package detection result is normal detection;
when the target package type is inconsistent with the actual package type, the package detection result is that the package type is abnormal;
when the target parcel ordering is inconsistent with the actual parcel ordering, the parcel detection result is that the parcel ordering is abnormal.
The application provides a check out test set of parcel. The device comprises: the acquisition module is used for acquiring real-time monitoring video and pipeline information of the target pipeline; the determining module is used for determining the target package type and the target package ordering of the target pipeline in a first preset duration based on the pipeline information; the first processing module is used for determining the actual package type and the actual package coordinates of the target assembly line based on the real-time monitoring video and determining the actual package ordering; and the second processing module is used for determining the package detection result of the target assembly line based on the target package type and the actual package type, the target package ordering and the actual package ordering. When the actual package detection is carried out, the interference target judgment and the judgment of whether the actual package enters the monitoring area are added, and the integrity of the actual package information and the accuracy of analysis and passing are ensured while the actual package information is obtained in real time; compared with the prior art, the method and the device for processing the video decoding of the real-time monitoring have the advantages that the integrity and timeliness of information acquisition are guaranteed by analyzing the image of each frame; comparing the information acquired by the video with package information corresponding to the assembly line information to confirm whether the type and the ordering of the current package are correct or not; the accuracy of package transmission on the assembly line is ensured; according to the method and the device, the real-time detection result is displayed, so that the field staff of the package assembly line is reminded of the current package condition, timely information feedback is realized, and the package error information is timely processed; on the basis of the prior art, the package is divided through the preset detection frame, and the actual package type information is acquired through the classified detection, so that the accuracy of package information detection is improved; thereby realizing the technical effects of improving the package detection accuracy and improving the detection data integrity.
Fig. 7 is a hardware configuration diagram of a package detection device according to an embodiment of the present application. As shown in fig. 7, the package inspection apparatus 700 includes:
a processor 701 and a memory 702;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in memory 702 to cause the package detection device to perform the package detection method as described above.
It should be understood that the processor 701 may be a Central Processing Unit (CPU), a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution. The memory 702 may include a high-speed Random Access Memory (RAM) or a Non-volatile memory (NVM), such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk, or an optical disk.
The embodiment of the application correspondingly provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and the computer execution instructions are used for realizing the package detection method when being executed by a processor.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
It should be further noted that, although the steps in the flowchart are sequentially shown as indicated by arrows, the steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order in which the sub-steps or stages are performed is not necessarily sequential, and may be performed in turn or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
It should be understood that the above-described device embodiments are merely illustrative, and that the device of the present application may be implemented in other ways. For example, the division of the units/modules in the above embodiments is merely a logic function division, and there may be another division manner in actual implementation. For example, multiple units, modules, or components may be combined, or may be integrated into another system, or some features may be omitted or not performed.
In addition, each functional unit/module in each embodiment of the present application may be integrated into one unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated together, unless otherwise specified. The integrated units/modules described above may be implemented either in hardware or in software program modules.
The integrated units/modules, if implemented in hardware, may be digital circuits, analog circuits, etc. Physical implementations of hardware structures include, but are not limited to, transistors, memristors, and the like. The processor may be any suitable hardware processor, such as CPU, GPU, FPGA, DSP and ASIC, etc., unless otherwise specified. Unless otherwise indicated, the storage elements may be any suitable magnetic or magneto-optical storage medium, such as resistive Random Access Memory RRAM (Resistive Random Access Memory), dynamic Random Access Memory DRAM (Dynamic Random Access Memory), static Random Access Memory SRAM (Static Random-Access Memory), enhanced dynamic Random Access Memory EDRAM (Enhanced Dynamic Random Access Memory), high-Bandwidth Memory HBM (High-Bandwidth Memory), hybrid Memory cube HMC (Hybrid Memory Cube), etc.
The integrated units/modules may be stored in a computer readable memory if implemented in the form of software program modules and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments. The technical features of the foregoing embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, all of the combinations of the technical features should be considered as being within the scope of the disclosure.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (11)

1. A method of detecting a package, comprising:
acquiring real-time monitoring video and pipeline information of a target pipeline;
determining a target package type and a target package ordering of the target pipeline in a first preset duration based on the pipeline information;
determining the actual package type and the actual package coordinates of the target assembly line based on the real-time monitoring video, and determining the actual package ordering;
And determining a package detection result of the target assembly line based on the target package type, the actual package type, the target package ordering and the actual package ordering.
2. The method of claim 1, wherein the determining the actual package type and actual package coordinates of the target pipeline based on the real-time surveillance video and determining the actual package ordering comprises:
judging whether the actual package enters a preset monitoring area or not based on the real-time monitoring video;
if yes, determining a first moment when the actual package enters the preset monitoring area, acquiring the actual package type and the actual package coordinates corresponding to the actual package based on a preset detection frame when the moment when the actual package enters the preset monitoring area for the first time is the first moment, and determining the corresponding actual package ordering.
3. The method of claim 2, wherein the determining whether the actual package enters a preset monitoring area based on the real-time monitoring video comprises:
performing video decoding on the real-time monitoring video, and determining a decoding picture corresponding to each frame of the real-time monitoring video;
Detecting the actual package based on the decoded picture, and determining the integrity of the actual package when the actual package is detected in the decoded picture; judging whether the integrity of the actual package in the decoded picture meets a preset condition or not; if yes, determining that the actual package enters the preset monitoring area.
4. The method of claim 3, wherein the obtaining the actual package type and the actual package coordinates corresponding to the actual package based on a preset detection frame, and determining the corresponding actual package ordering, comprises:
cutting the decoded picture corresponding to the first moment based on the preset detection frame to determine a package picture;
classifying and identifying based on the parcel pictures, and acquiring the corresponding actual parcel types, the number of the actual parcels corresponding to each actual parcel type and the actual parcel coordinates in the parcel pictures;
and determining the actual package ordering corresponding to the actual packages based on the actual package types, the number of the actual packages corresponding to each actual package type and the actual package coordinates.
5. The method of claim 1, wherein each of the tobacco packages includes a plurality of tobacco singlets when the actual package is a tobacco package, the determining an actual package type and actual package coordinates for the target pipeline based on the real-time surveillance video, and determining an actual package ordering, comprising:
determining a tobacco single item type and a tobacco single item coordinate corresponding to the tobacco package of the target assembly line based on the real-time monitoring video;
determining the number of tobacco single products corresponding to each tobacco single product type based on the tobacco single product type and the tobacco single product coordinates;
determining the tobacco package ordering based on the tobacco single type, the number of tobacco single products corresponding to each tobacco single type and the tobacco single product coordinates; the tobacco package ordering is used for representing position arrangement information of a plurality of tobacco single products in the tobacco package.
6. The method of claim 3, wherein the determining the actual package type and actual package coordinates of the target pipeline based on the real-time surveillance video and determining an actual package ordering further comprises:
When the decoded picture comprises an interference target, acquiring an interference area corresponding to the interference target, and calculating the superposition area of the interference area and the actual package;
when the overlapping area is larger than a preset threshold, sending out first alarm information for indicating that the actual package is blocked, and determining the interference duration based on a second moment corresponding to the current decoding picture and a third moment corresponding to the unblocked decoding picture with the overlapping area smaller than the preset threshold;
and determining an interference processing countermeasure based on the interference duration.
7. The method of claim 6, wherein the determining an interference handling countermeasure based on the interference duration comprises:
when the interference duration is smaller than a second preset duration, determining the actual package type and the actual package ordering corresponding to the actual package based on the de-occlusion decoding picture, and based on the actual package ordering;
and when the interference time length is greater than or equal to the second preset time length, initiating second alarm information of package detection abnormality.
8. The method of claim 1, wherein the determining the parcel detection of the target pipeline based on the target parcel type and the actual parcel type, the target parcel ordering, and the actual parcel ordering comprises:
When the target package type is consistent with the actual package type and the target package ordering is consistent with the actual package ordering, the package detection result is that the detection is normal;
when the target package type is inconsistent with the actual package type, the package detection result is that the package type is abnormal;
and when the target parcel ordering is inconsistent with the actual parcel ordering, the parcel detection result is that the parcel ordering is abnormal.
9. A package inspection apparatus comprising:
the acquisition module is used for acquiring real-time monitoring video and pipeline information of the target pipeline;
the determining module is used for determining the target package type and the target package ordering of the target pipeline in a first preset duration based on the pipeline information;
the first processing module is used for determining the actual package type and the actual package coordinates of the target assembly line based on the real-time monitoring video and determining the actual package ordering;
and the second processing module is used for determining a package detection result of the target assembly line based on the target package type, the actual package type, the target package ordering and the actual package ordering.
10. A package inspection apparatus comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of package detection of any one of claims 1 to 8.
11. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of detecting packages as claimed in any of claims 1 to 8.
CN202311528090.7A 2023-11-16 2023-11-16 Method, device and storage medium for detecting package Pending CN117557939A (en)

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