CN115860605A - Warehouse logistics detection system based on visual identification - Google Patents
Warehouse logistics detection system based on visual identification Download PDFInfo
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- CN115860605A CN115860605A CN202211536168.5A CN202211536168A CN115860605A CN 115860605 A CN115860605 A CN 115860605A CN 202211536168 A CN202211536168 A CN 202211536168A CN 115860605 A CN115860605 A CN 115860605A
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Abstract
The invention discloses a warehouse logistics detection system based on visual identification, relates to the technical field of logistics storage, and solves the technical problems that in the prior art, cargo information is easy to be omitted and cargoes are easy to lose, so that the storage efficiency is not high, and the storage quality cannot be ensured; the invention comprises a central analysis module and a plurality of image acquisition devices connected with the central analysis module; the image acquisition equipment is arranged in a plurality of warehousing functional areas of the warehousing area, and the warehousing functional areas comprise logistics warehousing areas, logistics storage areas and logistics distribution areas; the method comprises the steps of obtaining a warehousing image through image acquisition equipment arranged in a logistics warehousing area, and identifying label characteristics and appearance characteristics of logistics packages according to the warehousing image; identifying logistics packages in a logistics storage area and a logistics distribution area through global images, and further matching and recording storage positions and distribution information to realize automation of warehousing and logistics; the invention can realize the automatic detection of the warehouse logistics, improve the warehouse logistics efficiency and reduce the labor cost.
Description
Technical Field
The invention belongs to the field of logistics storage, relates to a warehouse logistics detection technology based on visual identification, and particularly relates to a warehouse logistics detection system based on visual identification.
Background
The warehouse logistics is to store, keep and deliver materials by utilizing self-built or leased storehouses and sites. With the development of the express delivery industry, the quantity of the warehouse logistics industry also increases, and how to track and position the articles in a complex warehouse environment is more and more important.
In the prior art, storage, custody and distribution of goods are generally recorded through a handheld device or a smart phone, and each goods needs to be manually operated by a worker. In the prior art, in the process of warehousing management, workers are prone to errors, so that goods information is omitted, and in the process of storing and managing goods, goods are frequently lost, so that the prior art can influence the warehousing efficiency and cannot guarantee the warehousing quality; therefore, a need exists for a warehouse logistics detection system based on visual identification.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a warehouse logistics detection system based on visual identification, which is used for solving the technical problems that cargo information is easy to be omitted and cargos are easy to be lost in the prior art, so that the warehousing efficiency is not high, and the warehousing quality cannot be ensured.
In order to achieve the above object, a first aspect of the present invention provides a warehouse logistics detection system based on visual identification, which includes a central analysis module, and a plurality of image acquisition devices connected thereto; the image acquisition equipment is arranged in a plurality of warehousing functional areas of the warehousing area, and the warehousing functional areas comprise logistics warehousing areas, logistics storage areas and logistics distribution areas;
the central analysis module carries out image acquisition on the logistics packages which are orderly put into the warehouse through image acquisition equipment in the logistics warehousing area, and marks the logistics packages as warehousing images; wherein the warehousing image comprises a logistics label of the logistics package;
the central analysis module determines the label characteristic and the appearance characteristic of the logistics package according to the warehousing image and establishes the association between the label characteristic and the appearance characteristic; then collecting a storage image of the logistics package through image collection equipment of the logistics storage area;
the central analysis module analyzes whether the logistics packages in the stored images are matched with the appearance characteristics; if yes, extracting a storage position from the storage image, and associating the storage position with the label feature; if not, early warning is carried out;
the center analysis module acquires a distribution image of the logistics package through image acquisition equipment in the logistics distribution area and analyzes whether the logistics package in the distribution image is matched with the appearance characteristics; if yes, extracting the delivery information, and associating the delivery information with the label characteristics; otherwise, the detection is continued.
Preferably, the central analysis module is respectively communicated and/or connected with the intelligent terminal and the plurality of image acquisition devices; the intelligent terminal comprises a mobile phone or a computer;
the image acquisition equipment is reasonably arranged in the storage functional area; and the logistics warehousing area, the logistics storage area and the logistics distribution area are connected through an intelligent trolley.
Preferably, the central analysis module collects warehousing images of the logistics packages in the logistics warehousing area, and the warehousing images comprise:
after the posture and the space of the logistics packages are adjusted, the logistics packages are sequentially conveyed on a package conveying belt of the logistics warehousing area;
the method comprises the following steps that a plurality of image acquisition devices of a logistics warehousing area sequentially acquire warehousing images of logistics packages, preprocess the warehousing images and send the warehousing images to a central analysis module; wherein, a plurality of image acquisition equipment shoot the angle difference.
Preferably, the central analysis module acquires the label characteristics and appearance characteristics of the logistics packages based on the warehousing image identification, and includes:
selecting at least one warehousing image carrying a logistics label, and identifying and acquiring label characteristics through the warehousing image; meanwhile, establishing a three-dimensional profile of the logistics package according to the plurality of warehousing images;
acquiring the size characteristics of the logistics packages according to the three-dimensional outline, and generating appearance characteristics by combining the color characteristics of the logistics packages; and after the label characteristics and the appearance characteristics are correlated, the logistics packages are conveyed through the intelligent trolley.
Preferably, the central analysis module obtains the size characteristics of the logistics package based on the three-dimensional profile, and the size characteristics comprise:
acquiring the lengths and the widths of at least three asymmetric surfaces of the logistics package based on the three-dimensional profile;
the three non-stacking planes are labeled MC1, MC2 and MC3 for length and MK1, MK2 and MK3 for width, respectively, resulting in dimensional features [ (MC 1, MK1, (MC 2, MK 2), (MC 3, MK 3) ].
Preferably, the central analysis module obtains the color characteristics of the logistics packages through a plurality of warehousing images, and the color characteristics comprise:
determining three asymmetric surfaces, and identifying characteristic points of the three asymmetric surfaces;
and calculating and acquiring position data of the feature points on the corresponding symmetrical plane, and combining the position data with the size features to generate the appearance features.
Preferably, the central analysis module performs storage detection based on the storage image of the logistics package, and includes:
acquiring warehouse images of the logistics storage area through image acquisition equipment, and identifying and extracting storage images of logistics packages based on the warehouse images; wherein the warehouse image comprises a plurality of logistics packages;
identifying whether the features of the stored image are matched with at least one group of data in the appearance features; if so, extracting the storage position of the logistics package, and establishing the association relationship between the storage position and the corresponding label feature of the logistics package.
Preferably, the central analysis module performs distribution detection based on a distribution image of the logistics packages, and includes:
collecting a working image of a logistics distribution area through image collection equipment; identifying and extracting a distribution image of the logistics package based on the working image; wherein the working image comprises a plurality of logistics packages;
identifying whether the features of the analyzed delivery image match at least one set of data in the appearance features; if so, extracting the delivery information and establishing an incidence relation between the delivery information and the corresponding label characteristics of the logistics package.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of obtaining a warehousing image through image acquisition equipment arranged in a logistics warehousing area, and identifying label characteristics and appearance characteristics of logistics packages according to the warehousing image; identifying logistics packages in a logistics storage area and a logistics distribution area through global images, and further matching and recording storage positions and distribution information to realize automation of warehousing and logistics; the invention can realize the automatic detection of the warehouse logistics, improve the warehouse logistics efficiency and reduce the labor cost.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the working steps of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a warehouse logistics inspection system based on visual recognition is provided in an embodiment of the first aspect of the present invention, which includes a central analysis module and a plurality of image capturing devices connected thereto; the image acquisition equipment is arranged in a plurality of warehousing functional areas of a warehousing area, and the warehousing functional areas comprise a logistics warehousing area, a logistics storage area and a logistics distribution area; the central analysis module carries out image acquisition on the logistics packages which are orderly put into the warehouse through image acquisition equipment in the logistics warehousing area, and marks the logistics packages as warehousing images; the central analysis module determines the label characteristic and the appearance characteristic of the logistics packages according to the warehousing images and establishes association between the label characteristic and the appearance characteristic; then, collecting a storage image of the logistics package through image collection equipment of the logistics storage area; the central analysis module analyzes whether the logistics packages in the stored images are matched with the appearance characteristics; if yes, extracting a storage position from the storage image, and associating the storage position with the label feature; if not, early warning is carried out; the center analysis module acquires a distribution image of the logistics package through image acquisition equipment in the logistics distribution area and analyzes whether the logistics package in the distribution image is matched with the appearance characteristics; if yes, extracting the delivery information, and associating the delivery information with the label characteristics; otherwise, continuously detecting.
In the prior art, when warehouse logistics detection is performed, logistics labels on logistics packages are mostly scanned through handheld devices or smart phones, information is recognized and then manually stored in a warehouse, the logistics packages are stored in a fixed area, and the logistics packages are taken out from a storage position according to distribution information during distribution, so that distribution is completed. In the prior art, in the whole process of warehouse logistics, workers need to operate continuously, so that not only is manpower wasted, but also the working efficiency is influenced; meanwhile, the staff can make mistakes inevitably and the storage quality is also affected.
The central analysis module is respectively communicated and/or connected with the intelligent terminal and the image acquisition equipment; the intelligent terminal comprises a mobile phone or a computer; the image acquisition equipment is reasonably arranged in the storage functional area; and the logistics warehousing area, the logistics storage area and the logistics distribution area are connected through an intelligent trolley.
The central analysis module is a core control part of the whole warehousing and logistics process, mainly analyzes the acquired image data, establishes the whole warehousing process of the logistics package, and mainly performs data interaction with each image acquisition device. The image acquisition equipment mainly comprises cameras which are distributed in each storage functional area, and each storage functional area comprises more than one camera. The storage functional area is sequentially a logistics warehousing area, a logistics storage area and a logistics distribution area according to the detection sequence of the logistics packages, and the logistics packages are conveyed among the functional storage areas through the intelligent trolley.
In a preferred embodiment, the central analysis module collects warehousing images of the logistics packages in the logistics warehousing area, and the warehousing images comprise: after the posture and the space of the logistics packages are adjusted, the logistics packages are sequentially conveyed on a package conveying belt of the logistics warehousing area; a plurality of image acquisition devices of the logistics warehousing area sequentially acquire warehousing images of logistics packages, preprocess the warehousing images and send the preprocessed warehousing images to the central analysis module.
Before carrying out image acquisition in the warehouse, need guarantee that image acquisition equipment can gather the commodity circulation label of commodity circulation parcel, namely as far as possible under the condition of guaranteeing commodity circulation parcel interval, avoid the commodity circulation label towards the conveyer belt. And the logistics packages sequentially enter the working area of the image acquisition equipment, and the image acquisition equipment acquires warehousing images of the logistics packages. It should be noted that, the shooting angles of the image acquisition devices are different, that is, the images in the warehouse are also multiple, and it is necessary to ensure that the multiple images in the warehouse can establish a three-dimensional profile.
In a preferred embodiment, the central analysis module obtains the label characteristics and appearance characteristics of the logistics packages based on the warehousing image identification, and comprises the following steps: selecting at least one warehousing image carrying a logistics label, and identifying and acquiring label characteristics through the warehousing image; meanwhile, establishing a three-dimensional profile of the logistics package according to the plurality of warehousing images; acquiring the size characteristic of the logistics package according to the three-dimensional contour, and generating an appearance characteristic by combining the color characteristic of the logistics package; and after the label characteristics and the appearance characteristics are correlated, the logistics packages are conveyed through the intelligent trolley.
And preferentially identifying the logistics label from the selected warehousing image, and extracting logistics information, namely label characteristics based on the logistics label. And then identifying size characteristics according to the plurality of input images so as to generate appearance characteristics. The size characteristics are mainly used for identifying the approximate shape of the logistics package, and the size characteristics can be easily obtained in a regular shape such as a cuboid; and for irregular shapes, identifying the shape characteristics of the images according to the input images.
In an alternative embodiment, the central analysis module obtains the size characteristics of the logistics packages based on the three-dimensional profile, and the method comprises the following steps: acquiring the lengths and the widths of at least three asymmetric surfaces of the logistics package based on the three-dimensional profile; the three non-stacked faces are labeled MC1, MC2, and MC3 for length and MK1, MK2, and MK3 for width, respectively, resulting in dimensional features [ (MC 1, MK1, (MC 2, MK 2), (MC 3, MK 3) ].
For a regular shape, the length and width of its three asymmetric faces can be calculated, and then dimensional features are established according to the length and width of each face. Irregular shapes, because of their small number, are rarely identical within the same warehouse, requiring only the determination of their shape, and the necessary dimensional data.
In an alternative embodiment, the central analysis module obtains the color characteristics of the logistics packages through a plurality of warehousing images, and the color characteristics comprise: determining three asymmetric surfaces, and identifying characteristic points of the three asymmetric surfaces; and calculating and acquiring position data of the feature points on the corresponding symmetrical plane, and combining the position data with the size features to generate appearance features.
After the size characteristics are determined, the stream packages cannot be completely distinguished according to the size characteristics, and therefore color characteristics need to be acquired. The present embodiment recognizes the color of each side, and if a special mark appears, such as a red mark on a yellow paper cover, the red mark serves as a feature, that is, a feature point, and the position of the red mark on the corresponding side is calculated as a color feature. If no special mark exists on a certain surface, the average value of the gray scale of the certain surface is calculated as the color characteristic after preprocessing.
In a preferred embodiment, the central analysis module performs storage detection based on the stored image of the logistics parcel, comprising: acquiring warehouse images of the logistics storage area through image acquisition equipment, and identifying and extracting storage images of logistics packages based on the warehouse images; identifying whether the features of the stored image are matched with at least one group of data in the appearance features; if so, extracting the storage position of the logistics package, and establishing the association relationship between the storage position and the corresponding label feature of the logistics package.
The intelligent trolley conveys the logistics packages from the inflow warehousing area to the logistics storage area for storage, and at the moment, information acquisition is not required to be carried out on the logistics packages by workers or the intelligent trolley. The image acquisition equipment of the logistics storage area acquires a global image, namely a storage image, identifies a plurality of logistics packages in the storage image and corresponding appearance characteristics, the identified appearance characteristics possibly only have the size characteristics and the color characteristics of one surface due to the influence of a storage environment, the size characteristics and the color characteristics of the surface are compared with the appearance characteristics of each logistics package, and only one group of data in the appearance characteristics is consistent with the size characteristics and the color characteristics of the surface, the logistics packages corresponding to the surface can be determined, the storage positions of the logistics packages can be extracted, and the logistics packages are associated with the label characteristics corresponding to the logistics packages. The embodiment can quickly locate the position of the logistics package without manual processing.
In a preferred embodiment, the central analysis module performs delivery detection based on the delivery image of the logistics package, comprising: collecting a working image of a logistics distribution area through image collection equipment; extracting a distribution image of the logistics package based on the working image identification; identifying whether the features of the analyzed delivery image match at least one set of data in the appearance features; if so, extracting the delivery information and establishing an incidence relation between the delivery information and the corresponding label characteristics of the logistics package.
The embodiment identifies the logistics packages in the working image, extracts the corresponding distribution image, and further determines which logistics package is distributed according to the distribution image, and further associates the distribution information with the label feature of the corresponding logistics package. Of course, the logistics package can also be transported to the logistics distribution area after the distribution information is acquired according to the previously acquired storage location. The distribution information can be recorded without manual participation in the distribution process, and the cost is reduced.
The early warning in the invention specifically means that the logistics packages are stored in the storage area, but the label characteristic and the appearance characteristic corresponding to the logistics packages are not available in the system, and the central analysis module may have processing errors, so that the early warning is needed.
The working principle of the invention is as follows:
the central analysis module carries out image acquisition on the logistics packages which are orderly put into the warehouse through image acquisition equipment in the logistics warehousing area, and marks the logistics packages as warehousing images; the central analysis module determines the label characteristic and the appearance characteristic of the logistics package according to the warehousing image and establishes the association between the label characteristic and the appearance characteristic; and then collecting the storage image of the logistics package through an image collecting device of the logistics storage area.
The central analysis module analyzes whether the logistics packages in the stored images are matched with the appearance characteristics; if yes, extracting a storage position from the storage image, and associating the storage position with the label feature; and if not, early warning is carried out.
The center analysis module acquires a distribution image of the logistics packages through image acquisition equipment in the logistics distribution area, and analyzes whether the logistics packages in the distribution image are matched with the appearance characteristics or not; if yes, extracting the distribution information, and associating the distribution information with the label characteristics; otherwise, the detection is continued.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A warehouse logistics detection system based on visual identification comprises a central analysis module and a plurality of image acquisition devices connected with the central analysis module; the image acquisition equipment is arranged in a plurality of warehousing functional areas of the warehousing area, and the warehousing functional areas comprise logistics warehousing areas, logistics storage areas and logistics distribution areas; the method is characterized in that:
the central analysis module carries out image acquisition on the logistics packages which are orderly put into the warehouse through image acquisition equipment in the logistics warehousing area, and marks the logistics packages as warehousing images; wherein the warehousing image comprises a logistics label of the logistics package;
the central analysis module determines the label characteristic and the appearance characteristic of the logistics package according to the warehousing image and establishes the association between the label characteristic and the appearance characteristic; then, collecting a storage image of the logistics package through image collection equipment of the logistics storage area;
the central analysis module analyzes whether the logistics packages in the stored images are matched with the appearance characteristics; if yes, extracting a storage position from the storage image, and associating the storage position with the label feature; if not, early warning is carried out;
the center analysis module acquires a distribution image of the logistics package through image acquisition equipment in the logistics distribution area and analyzes whether the logistics package in the distribution image is matched with the appearance characteristics; if yes, extracting the delivery information, and associating the delivery information with the label characteristics; otherwise, continuously detecting.
2. The visual identification-based warehouse logistics detection system of claim 1, wherein the central analysis module is in communication and/or connection with the intelligent terminal and the plurality of image acquisition devices, respectively; the intelligent terminal comprises a mobile phone or a computer;
the image acquisition equipment is reasonably arranged in the storage functional area; and the logistics warehousing area, the logistics storage area and the logistics distribution area are connected through an intelligent trolley.
3. The visual-identification-based warehouse logistics detection system of claim 2, wherein the central analysis module collects warehousing images of logistics packages in a logistics warehousing area, comprising:
after the posture and the space of the logistics packages are adjusted, the logistics packages are sequentially conveyed on a package conveying belt of the logistics warehousing area;
a plurality of image acquisition devices of the logistics warehousing area sequentially acquire warehousing images of logistics packages, preprocess the warehousing images and send the preprocessed warehousing images to a central analysis module; wherein, a plurality of image acquisition equipment shoot the angle different.
4. The system according to claim 3, wherein the central analysis module obtains the label and appearance characteristics of the logistics packages based on the warehousing image recognition, and comprises:
selecting at least one warehousing image carrying a logistics label, and identifying and acquiring label characteristics through the warehousing image; meanwhile, establishing a three-dimensional outline of the logistics package according to the plurality of warehousing images;
acquiring the size characteristics of the logistics packages according to the three-dimensional outline, and generating appearance characteristics by combining the color characteristics of the logistics packages; after the label characteristics and the appearance characteristics are correlated, the logistics are conveyed and included through the intelligent trolley.
5. The warehouse logistics detection system based on visual recognition as claimed in claim 4, wherein the central analysis module obtains the size characteristics of the logistics packages based on three-dimensional profile, comprising:
acquiring the lengths and the widths of at least three asymmetric surfaces of the logistics package based on the three-dimensional profile;
the three non-stacking planes are labeled MC1, MC2 and MC3 for length and MK1, MK2 and MK3 for width, respectively, resulting in dimensional features [ (MC 1, MK1, (MC 2, MK 2), (MC 3, MK 3) ].
6. The warehouse logistics detection system based on visual identification as claimed in claim 5, wherein the central analysis module obtains the color characteristics of the logistics packages through a plurality of warehousing images, comprising:
determining three asymmetric surfaces, and identifying characteristic points of the three asymmetric surfaces;
and calculating and acquiring position data of the feature points on the corresponding symmetrical plane, and combining the position data with the size features to generate appearance features.
7. The visual-recognition-based warehouse logistics detection system of claim 1 or 6, wherein the central analysis module performs storage detection based on stored images of logistics packages, comprising:
acquiring warehouse images of the logistics storage area through image acquisition equipment, and identifying and extracting storage images of logistics packages based on the warehouse images; the warehouse image comprises a plurality of logistics packages;
identifying whether the features of the stored image are matched with at least one group of data in the appearance features; if so, extracting the storage position of the logistics package, and establishing the association relationship between the storage position and the corresponding label feature of the logistics package.
8. The warehouse logistics detection system based on visual recognition of claim 7, wherein the central analysis module performs delivery detection based on delivery images of logistics packages, comprising:
collecting a working image of a logistics distribution area through image collection equipment; extracting a distribution image of the logistics package based on the working image identification; wherein the working image comprises a plurality of logistics packages;
identifying whether the features of the analyzed delivery image match at least one set of data in the appearance features; if so, extracting the delivery information and establishing an incidence relation between the delivery information and the corresponding label characteristics of the logistics package.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117253223A (en) * | 2023-10-25 | 2023-12-19 | 江苏商贸职业学院 | Goods filing method and system based on Internet of things |
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