CN109325482B - Fixed asset checking method and device based on image recognition - Google Patents
Fixed asset checking method and device based on image recognition Download PDFInfo
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Abstract
The application discloses a fixed asset checking method and device based on image recognition. The method comprises the following steps: receiving image information of the fixed assets sent by a user, and carrying out image identification processing; acquiring asset information of the fixed asset according to the identification result of the image identification processing; correspondingly storing the asset information and the fixed asset identifier so as to execute preset fixed asset checking operation; the method comprises the steps of receiving image information of the fixed asset sent by a user, carrying out image identification processing, obtaining the asset information of the fixed asset according to an identification result of the image identification processing, achieving the purpose of automatically identifying and inputting the fixed asset information through an image identification technology, achieving the technical effect of high efficiency of inputting the asset information of the fixed asset, and further solving the problem of low working efficiency of inputting the fixed asset information in the related technology.
Description
Technical Field
The application relates to the field of asset checking, in particular to a fixed asset checking method and device based on image recognition.
Background
Fixed assets belong to labor data used to change or influence labor objects in the production process of products, and are physical forms of fixed capital. The fixed assets can play a role for a long time in the production process, the original physical form is kept for a long time, but the value of the fixed assets is gradually transferred to the product cost along with the production and operation activities of enterprises, and the fixed assets form a component of the product value. According to the important principle, an enterprise divides labor data into fixed assets and low-value consumable articles according to the service life and the original value. The labor data with higher original value and longer service life are checked according to fixed assets; and for the labor data with smaller original value and shorter service life, the accounting is carried out according to the low-value consumable items.
From an accounting perspective, fixed assets are generally classified as fixed assets for production, fixed assets for non-production, fixed assets leased, fixed assets unused, fixed assets not needed, fixed assets leased by financing, fixed assets donated by acceptance, and the like.
The value of the fixed asset is gradually transferred to a new product according to the abrasion degree of the fixed asset, and the abrasion of the fixed asset is divided into two conditions of tangible abrasion and intangible abrasion; a compensation mode of the part of value of the fixed assets transferred to the product due to loss in the using process is called depreciation, and the computing method of the depreciation mainly comprises an average age limit method, a workload method, an age limit total sum method and the like; the fixed assets are replaced in a material form, and compensation is carried out in a value form, namely updating; in addition, there are maintenance and repair of fixed assets, and the like.
The inventor finds that, in the related art, when fixed assets are managed, various basic information of the fixed assets are often manually input, and then the inventory operation can be executed, so that the labor cost is high and the working efficiency is low.
Therefore, a method and a device for checking the fixed asset based on image recognition are urgently needed to solve the problem of low work efficiency of the fixed asset information input in the related technology.
Disclosure of Invention
The application mainly aims to provide a fixed asset checking method and device based on image identification, so as to solve the problem that the fixed asset information input work efficiency in the related technology is low.
In order to achieve the above object, according to one aspect of the present application, there is provided a fixed asset inventory method based on image recognition.
The fixed asset inventory method based on image recognition comprises the following steps: receiving image information of the fixed assets sent by a user, and performing image identification processing; acquiring asset information of the fixed asset according to the identification result of the image identification processing; and correspondingly storing the asset information and the fixed asset identifier so as to execute preset fixed asset checking operation.
Further, the receiving image information of the fixed asset sent by the user and performing image recognition processing includes: judging whether the image of the fixed asset sent by the user is a label image of the fixed asset; if the label image is the label image, performing character recognition on the label image; and extracting the character recognition result to obtain the asset information of the fixed asset.
Further, the receiving image information of the fixed asset sent by the user and performing image recognition processing includes: judging whether the image of the fixed asset sent by the user is an appearance image of the fixed asset; if the image is an appearance image, performing image recognition on the appearance image; determining the category and the characteristics of the fixed assets according to the identification result; and obtaining the asset information of the fixed asset according to the category and the characteristics of the fixed asset.
Further, the receiving the image information of the fixed asset sent by the user and performing the image recognition processing includes: judging whether the received image information of the fixed asset meets preset image processing conditions or not; and if the received image information of the fixed asset is judged not to meet the preset image processing condition, sending an image processing failure notification to the user.
Further, the performing of the preset fixed asset inventory operation includes: and exporting the asset information of the fixed asset selected by the user in batches. In order to achieve the above object, according to another aspect of the present application, there is provided a fixed asset inventory device based on image recognition.
The fixed asset inventory device based on image recognition comprises the following components: the image identification unit is used for receiving the image information of the fixed assets sent by the user and carrying out image identification processing; the asset information acquisition unit is used for matching and obtaining the asset information of the fixed asset according to the identification result of the image identification unit; and the asset inventory operation unit is used for executing inventory operation on the fixed asset.
Further, the image recognition unit includes: the label image judging module is used for judging whether the image of the fixed asset sent by the user is the label image of the fixed asset; and the label image identification module is used for carrying out character identification on the label image and extracting the character identification result.
Further, the image recognition unit includes: the appearance image judging module is used for judging whether the image of the fixed asset sent by the user is the appearance image of the fixed asset; and the appearance image recognition module is used for carrying out image recognition on the appearance image and determining the category and the characteristics of the fixed asset.
Further, the image recognition unit includes: the image pre-judging module is used for judging whether the received image information of the fixed asset meets a preset image processing condition; and the failure notification module is used for sending an image processing failure notification to the user when the image pre-judging module judges that the image information does not meet the preset image processing condition.
Further, the asset inventory operating unit includes: and the information export module is used for exporting the asset information of the fixed assets selected by the user in batches.
In the embodiment of the application, the image information of the fixed assets sent by a user is received, the image identification processing mode is adopted, the asset information of the fixed assets is obtained according to the identification result of the image identification processing, the purpose of automatically identifying and inputting the fixed asset information through an image identification technology is achieved, the technical effect of high efficiency of the asset information inputting of the fixed assets is achieved, and the problem of low working efficiency of the fixed asset information inputting in the related technology is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic illustration of a fixed asset inventory method according to a first embodiment of the present application;
FIG. 2 is a schematic illustration of a fixed asset inventory method according to a second embodiment of the present application;
FIG. 3 is a schematic illustration of a fixed asset inventory method according to a third embodiment of the present application;
FIG. 4 is a schematic illustration of a fixed asset inventory method according to a fourth embodiment of the present application;
FIG. 5 is a schematic view of a fixed asset inventory apparatus according to a first embodiment of the present application;
FIG. 6 is a schematic illustration of a fixed asset inventory device according to a second embodiment of the present application;
FIG. 7 is a schematic illustration of a fixed asset inventory device according to a third embodiment of the present application; and
fig. 8 is a schematic view of a fixed asset inventory device according to a fourth embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the application herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as the case may be.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the method includes steps S101 to S103 as follows:
step S101, receiving image information of fixed assets sent by a user, and carrying out image identification processing;
preferably, the image recognition process includes, but is not limited to: the identification tag image and the identification appearance image, and in other embodiments of the present application, the image recognition process may be other image recognition techniques.
Preferably, the user enters information through an asset management page of the fixed asset, specifically, the content of the asset management page includes but is not limited to: asset users (the name of the corresponding logged-in user in the enterprise organization architecture), inventory asset number (the assets that the user has taken in the enterprise + the total assets that the user has added), asset list presentation fields (photos, asset code, asset name, status; asset class, device serial number, brand, company used, department used, location).
Preferably, before executing the preset fixed asset management operation, a login operation needs to be performed;
specifically, a user clicks a self-service checking button in a page or a self-service checking button of a bottom menu through a WeChat gateway service platform, and jumps to a login page (if the user logs in before, the user directly jumps to the self-service checking page, failure occurs in that a checking list is closed and the checking list is not closed, and after the user logs in for the first time, the binding relationship is not limited in time effectiveness, namely, the binding relationship is permanently effective if the user does not cancel attention); and (4) closing the inventory list, and performing failure treatment: and prompting that the staff self-service checking is not started (the staff self-service checking is temporarily stopped) on the self-group checking page, and removing the binding relation after the attention is cancelled.
Specifically, account information (namely a mobile phone number/mailbox) is input, graphical verification is carried out, then an identity verification code is input, and self-service checking is carried out after the identity verification code passes the verification.
Logging in if the following conditions are met, otherwise, reporting an error: the enterprise maintains the employee and the mobile phone number/mailbox, otherwise an error is reported (the current mobile phone number does not exist in the system, please contact the asset manager); the mobile phone number needs to be checked in a non-empty manner or in a format, for example, an account number or a mailbox is not input, a format error (including a length, a character and the like) and an error report [ please input a correct mobile phone number/mailbox ].
The graphic verification code needs to be subjected to non-empty verification and content verification, 1, the verification code is not input, and an error is reported (please input your verification code); 2. incorrect input content, error report [ figure verification code input error ].
The identity verification code needs to be subjected to non-empty verification and content verification, and 1, the verification code is not input, and an error is reported (please input the identity verification code); 2. the input content is incorrect, and the error is reported (short message/mailbox verification code input error) — the error report case is judged according to the previous input of the mobile phone or the mailbox.
And (5) if the input is correct, jumping to the third step: [ self-service inventory need to know ]: 1. you want to select "this asset, under my name" for the asset you are using; 2. you please choose "this asset, not in my name" for assets that are not used; 3. do not please [ add asset ] and supplement information in the list for the assets you use; 4. all assets are confirmed and then clicked on [ submitted to the administrator ]; thank you for your coordination, with any questions to contact the asset manager. Step S102, obtaining the asset information of the fixed asset according to the identification result of the image identification processing;
preferably, according to the received label image on the fixed asset, image recognition is performed, and the character information in the label is extracted to obtain the asset information of the fixed asset.
Preferably, image recognition is performed according to the received appearance image of the fixed asset, so as to obtain the category and the feature of the fixed asset, such as "laptop", "association", "T800 model", and the like.
And step S103, correspondingly storing the asset information and the fixed asset identifier so as to execute preset fixed asset checking operation.
Preferably, the asset information of the fixed asset obtained through image recognition and the fixed asset are associated and bound, and are stored in a system database.
Preferably, the fixed asset inventory operations include, but are not limited to: asset information modification, asset information statistics, and warehousing operations, in other embodiments of the present application, the fixed asset inventory operations may also include other operations and processes.
Specifically, the adding fixed asset is provided with an adding asset page (controlled by the information item when the inventory is newly added), including but not limited to: asset classification, equipment serial number, brand, model, remark: please upload picture entries (take a picture of device serial number, take a picture of asset as a whole): clicking for storage, if the verification is successful, popping up the toast (the file: the operation is successful, the stay time is 2 seconds, and the confirmation of a user is not needed), and jumping to the asset list page to be checked.
Specifically, asset modification pages are set for modifying asset information, and only unfinished inventory sheets can be modified, otherwise errors are reported (please select an inventory sheet with an "in inventory" status); the data range is only increased but not reduced; "open self-service inventory" can be modified; the configuration information items may be modified, and in particular, the modified content includes, but is not limited to: personnel name, number, mailbox, department, asset code, asset name, asset class, company used, location, usage status, amount, administrator (non-acquired asset, administrator before the asset; acquired asset, currently logged in user; modifiable), inventory remarks and extension information (displayed according to asset class).
Preferably, the system is provided with a super administrator who can see all inventory and asset information within the system.
In particular, the management operations that can be performed by the super pipe include, but are not limited to: checking personnel submission condition (turning to a personnel submission condition page), exporting data (exporting all information functions, or directly importing all information), checking a data list (check boxes, audit states, inventory notes, names, departments, companies, asset numbers, equipment serial numbers, inventory change conditions and the like), and performing advanced search (in screening, inventory states, audit states, inventory change conditions and administrator labels).
From the above description, it can be seen that the present invention achieves the following technical effects:
in the embodiment of the application, the method for receiving the image information of the fixed asset sent by the user and carrying out the image identification processing is adopted, the asset information of the fixed asset is obtained according to the identification result of the image identification processing, and the purposes of automatically identifying and inputting the fixed asset information through the image identification technology are achieved, so that the technical effect of high efficiency of the asset information inputting of the fixed asset is achieved, and the problem of low working efficiency of the fixed asset information inputting in the related technology is solved.
According to the embodiment of the present invention, as a preferable mode in the embodiment, as shown in fig. 2, the receiving image information of a fixed asset transmitted by a user and performing image recognition processing includes steps S201 to S203 as follows:
step S201, judging whether the image of the fixed asset sent by the user is a tag image of the fixed asset;
step S202, if the label image is the label image, character recognition is carried out on the label image;
and step S203, extracting the character recognition result to obtain the asset information of the fixed asset.
Preferably, according to the received label image on the fixed asset, image recognition is performed, and the character information in the label is extracted to obtain the asset information of the fixed asset.
According to the embodiment of the present invention, as a preferable preference in the embodiment, as shown in fig. 3, the receiving image information of a fixed asset transmitted by a user and performing image recognition processing includes steps S301 to S304 as follows:
step S301, judging whether the image of the fixed asset sent by the user is an appearance image of the fixed asset;
step S302, if the image is an appearance image, carrying out image recognition on the appearance image;
step S303, determining the category and the characteristic of the fixed asset according to the identification result;
and step S304, obtaining the asset information of the fixed asset according to the category and the characteristics of the fixed asset.
Preferably, image recognition is performed according to the received appearance image of the fixed asset, so as to obtain the category and the feature of the fixed asset, such as "laptop", "association", "T800 model", and the like.
According to the embodiment of the present invention, as a preferable example in the embodiment, as shown in fig. 4, the receiving image information of a fixed asset transmitted by a user and performing image recognition processing includes steps S401 to S402 as follows:
step S401, judging whether the received image information of the fixed asset meets preset image processing conditions;
step S402, if the received image information of the fixed asset is judged not to meet the preset image processing condition, sending an image processing failure notice to the user.
Preferably, after receiving the image information of the fixed asset, performing preliminary image recognition on the image information, determining whether parameters such as resolution, recognition rate and the like meet technical requirements of further image recognition, and if not, sending an image processing failure notification to the user to prompt the user to upload the image information of the fixed asset again.
According to the embodiment of the present invention, as a preferable preference in the embodiment, the performing of the preset fixed asset inventory operation includes: and exporting the asset information of the fixed asset selected by the user in batches.
Preferably, the asset information is derived in batch according to the asset information of the fixed asset obtained after the image recognition processing and the selection instruction of the user.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
There is also provided, according to an embodiment of the present invention, an apparatus for implementing the above-described fixed asset inventory method, as shown in fig. 5, the apparatus including: an image recognition unit 10, which is used for receiving the image information of the fixed assets sent by the user and carrying out image recognition processing; an asset information obtaining unit 20, configured to match and obtain asset information of the fixed asset according to the recognition result of the image recognition unit; and an asset inventory operation unit 30 for performing an inventory operation on the fixed asset.
The image recognition unit 10 according to the present application is configured to receive image information of a fixed asset sent by a user, and perform an image recognition process, preferably, the image recognition process includes, but is not limited to: the identification tag image and the identification appearance image, and in other embodiments of the present application, the image recognition process may be other image recognition techniques.
The asset information acquiring unit 20 according to the present application is configured to match and obtain asset information of the fixed asset according to the identification result of the image identification unit, preferably, perform image identification according to a received label image on the fixed asset, extract text information in the label, and obtain asset information of the fixed asset; or performing image recognition according to the received appearance image of the fixed asset to obtain the category and the feature of the fixed asset, such as "notebook computer", "association", "T800 model", and the like.
The asset checking unit 30 according to the present application is configured to perform a checking operation on the fixed asset, and preferably, establish an association binding relationship between the asset information of the fixed asset obtained through the image recognition and the fixed asset, and store the association binding relationship in a system database; the fixed asset inventory operations include, but are not limited to: asset information modification, asset information statistics, and warehousing operations, in other embodiments of the present application, the fixed asset inventory operations may also include other operations and processes.
According to the embodiment of the present invention, as a preference in the embodiment, as shown in fig. 6, the image recognition unit 10 includes: the tag image judging module 11 is configured to judge whether the image of the fixed asset sent by the user is a tag image of the fixed asset; and the label image identification module 12 is configured to perform character identification on the label image and extract a result of the character identification.
The tag image determining module 11 according to the present application is configured to determine whether the image of the fixed asset sent by the user is a tag image of the fixed asset, and preferably, perform preliminary identification on the received image to determine whether the image is the tag image of the fixed asset.
The tag image recognition module 12 according to the present application is configured to perform character recognition on the tag image and extract a result of the character recognition, preferably, extract character information in a tag to obtain asset information of the fixed asset.
According to the embodiment of the present invention, as a preference in the embodiment, as shown in fig. 7, the image recognition unit 10 further includes: an appearance image judging module 13, configured to judge whether the image of the fixed asset sent by the user is an appearance image of the fixed asset; and the appearance image identification module 14 is used for carrying out image identification on the appearance image and determining the category and the characteristic of the fixed asset.
The appearance image determining module 13 according to the present application is configured to determine whether the image of the fixed asset sent by the user is an appearance image of the fixed asset, and preferably, perform preliminary identification on the received image to determine whether the image is the appearance image of the fixed asset.
The appearance image recognition module 14 according to the present application is configured to perform image recognition on the appearance image and determine the category and the feature of the fixed asset, and preferably, perform image recognition according to the received appearance image of the fixed asset, so as to obtain the category and the feature of the fixed asset, such as "laptop", "association", "T800 model", and the like.
According to the embodiment of the present invention, as a preference in the embodiment, as shown in fig. 8, the image recognition unit 10 further includes: the image pre-judging module 15 is configured to judge whether the received image information of the fixed asset meets a preset image processing condition; a failure notification module 16, configured to send an image processing failure notification to the user when the image pre-determination module determines that the image information does not satisfy a preset image processing condition.
The image pre-judging module 15 according to the present application is configured to judge whether the received image information of the fixed asset meets a preset image processing condition, and preferably, perform preliminary image recognition on the image information after receiving the image information of the fixed asset, and judge whether parameters such as a resolution, a recognition rate, and the like meet technical requirements of further image recognition.
The failure notification module 16 according to the present application is configured to send an image processing failure notification to the user when the image pre-determination module determines that the image information does not satisfy a preset image processing condition, and preferably, if the image information does not satisfy the preset image processing condition, send an image processing failure notification to the user to prompt the user to upload the image information of the fixed asset again.
According to the embodiment of the present invention, as a preference in the embodiment, the asset inventory operating unit 30 includes: and an information export module 31, configured to export the asset information of the fixed asset selected by the user in batches.
The information derivation module 31 according to the present application is configured to derive the asset information of the fixed asset selected by the user in batch, and preferably, the asset information is derived in batch according to the asset information of the fixed asset obtained after the image recognition processing and the selection instruction of the user.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above can be implemented by a general purpose computing device, they can be centralized in a single computing device or distributed over a network of multiple computing devices, and they can alternatively be implemented by program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (6)
1. A fixed asset inventory method based on image recognition, characterized in that the method comprises:
receiving image information of the fixed assets sent by a user, and carrying out image identification processing;
acquiring asset information of the fixed asset according to an identification result of the image identification processing;
correspondingly storing the asset information and the fixed asset identifier so as to execute preset fixed asset checking operation;
the super administrator checks all inventory information and asset information in the system to perform management operation;
the fixed asset inventory operation comprises: modifying asset information, counting asset information and carrying out warehouse entry and exit operations;
wherein, the asset information modification can only modify the incomplete inventory list, and the data range is only increased but not reduced;
the receiving the image information of the fixed assets sent by the user and carrying out the image identification processing comprises the following steps:
judging whether the image of the fixed asset sent by the user is a label image of the fixed asset;
if the label image is the label image, performing character recognition on the label image;
extracting the character recognition result to obtain the asset information of the fixed asset;
the receiving the image information of the fixed assets sent by the user and carrying out the image identification processing comprises the following steps:
judging whether the image of the fixed asset sent by the user is an appearance image of the fixed asset;
if the image is an appearance image, performing image recognition on the appearance image;
determining the category and the characteristics of the fixed assets according to the identification result;
and obtaining the asset information of the fixed asset according to the category and the characteristics of the fixed asset.
2. The fixed asset checking method according to claim 1, wherein the receiving image information of the fixed asset transmitted by the user and performing image recognition processing comprises:
judging whether the received image information of the fixed assets meets preset image processing conditions or not;
and if the received image information of the fixed asset is judged not to meet the preset image processing condition, sending an image processing failure notification to the user.
3. The fixed asset inventory method of claim 1, wherein said performing a pre-set fixed asset inventory operation comprises:
and exporting the asset information of the fixed asset selected by the user in batches.
4. A fixed asset inventory device based on image recognition is characterized by comprising:
the image identification unit is used for receiving the image information of the fixed assets sent by the user and carrying out image identification processing;
the asset information acquisition unit is used for matching and obtaining asset information of the fixed asset according to the identification result of the image identification unit;
the asset checking operation unit is used for performing checking operation on the fixed assets, and a super manager checks all checking lists and asset information in the system to perform management operation;
the fixed asset inventory operation comprises: modifying asset information, counting asset information and carrying out warehouse entry and exit operations;
wherein, the asset information modification can only modify the incomplete inventory list, and the data range is only increased but not reduced;
wherein the image recognition unit includes:
the label image judging module is used for judging whether the image of the fixed asset sent by the user is the label image of the fixed asset;
the label image identification module is used for carrying out character identification on the label image and extracting a character identification result;
wherein the image recognition unit includes:
the appearance image judging module is used for judging whether the image of the fixed asset sent by the user is the appearance image of the fixed asset;
and the appearance image recognition module is used for carrying out image recognition on the appearance image and determining the category and the characteristics of the fixed asset.
5. The fixed asset inventory device of claim 4, wherein the image recognition unit comprises:
the image pre-judging module is used for judging whether the received image information of the fixed asset meets a preset image processing condition;
and the failure notification module is used for sending an image processing failure notification to the user when the image pre-judging module judges that the image information does not meet the preset image processing condition.
6. The fixed asset inventory device of claim 4, wherein said asset inventory operation unit comprises:
and the information export module is used for exporting the asset information of the fixed assets selected by the user in batches.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811150500.8A CN109325482B (en) | 2018-09-29 | 2018-09-29 | Fixed asset checking method and device based on image recognition |
Applications Claiming Priority (1)
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| CN111784281A (en) * | 2020-06-10 | 2020-10-16 | 中国铁塔股份有限公司 | Asset identification method and system based on AI |
| CN111931881A (en) * | 2020-07-01 | 2020-11-13 | 众虎物联网(广州)有限公司 | Asset checking method and device, terminal equipment and storage medium |
| CN112766827A (en) * | 2021-03-12 | 2021-05-07 | 中国工商银行股份有限公司 | Automatic processing method and device for asset inventory data |
| CN115170040B (en) * | 2022-09-08 | 2022-12-20 | 南方电网数字电网研究院有限公司 | Method and system for dynamically updating asset directory |
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