CN113538809A - Data processing method and device based on self-service equipment - Google Patents
Data processing method and device based on self-service equipment Download PDFInfo
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- CN113538809A CN113538809A CN202110657154.8A CN202110657154A CN113538809A CN 113538809 A CN113538809 A CN 113538809A CN 202110657154 A CN202110657154 A CN 202110657154A CN 113538809 A CN113538809 A CN 113538809A
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- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
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Abstract
The embodiment of the invention provides a data processing method and a device based on self-service equipment, wherein the method comprises the following steps: acquiring target image data acquired by the self-service equipment aiming at an object to be identified; judging whether the target image data is abnormal or not; and when the target image data is abnormal, switching the algorithm for image data identification, and identifying the target image data by adopting the switched algorithm. According to the embodiment of the invention, the algorithm is automatically switched by the self-service equipment according to the abnormal condition, so that the algorithm for image data identification of the self-service equipment is matched with the abnormal condition of the self-service equipment, the identification rate of the financial currency detecting equipment is improved, and the currency reject rate of the financial currency detecting equipment is reduced.
Description
Technical Field
The invention relates to the technical field of self-service equipment, in particular to a data processing method and device based on self-service equipment.
Background
For self-service equipment used for identifying objects such as paper money, bills and the like, such as currency detecting equipment, the stability of internal devices and hardware signals is of great importance for the accuracy of identification results.
When objects such as paper money and bills are identified, image data of the objects such as the paper money and the bills are collected mainly at a fixed speed, and the collected image data is identified by a fixed identification algorithm. When devices or hardware signals in the self-service equipment are abnormal, such as aging of the devices in the self-service equipment and distortion of the hardware signals, the problems of time consumption of an algorithm or recognition errors may occur, and further, the recognition rate of the self-service equipment is reduced and the bank note rejection rate is increased.
Disclosure of Invention
In view of the above, it is proposed to provide a self-service device based data processing method and apparatus that overcomes or at least partially solves the above mentioned problems, comprising:
a data processing method based on self-service equipment comprises the following steps:
acquiring target image data acquired by self-service equipment aiming at an object to be identified;
judging whether the target image data is abnormal or not;
and when the target image data is abnormal, switching the algorithm for image data identification, and identifying the target image data by adopting the switched algorithm.
Optionally, before acquiring target image data acquired by the self-service device for the object to be identified, the method further includes:
acquiring monitoring data for the self-service equipment;
judging whether the monitoring data is abnormal or not;
and when the monitoring data is abnormal, correcting the self-service equipment.
Optionally, modifying the self-service device includes:
and adjusting the speed of image data acquisition of the self-service equipment.
Optionally, the self-service device is provided with a plurality of algorithms for image data recognition, and switching the algorithms for image data recognition includes:
determining a target algorithm according to the target image data;
and switching the algorithm currently used for image data identification to a target algorithm.
Optionally, the method further comprises:
and when the target image data is not abnormal, identifying the target image data by adopting the algorithm currently used for identifying the image data.
Optionally, the method further comprises:
and when the target image data is abnormal, generating an alarm message.
Optionally, the monitoring data comprises any one or more of:
the self-service equipment acquires speed monitoring data of image data, definition monitoring data of the image data acquired by the self-service equipment and fault monitoring data of the self-service equipment.
A self-service device based data processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring target image data acquired by the self-service equipment aiming at an object to be identified;
the judging module is used for judging whether the target image data is abnormal or not;
and the identification switching module is used for switching the algorithm for identifying the image data when the target image data is abnormal and identifying the target image data by adopting the switched algorithm.
Optionally, the apparatus further comprises:
the self-service equipment comprises a correction module, a recognition module and a recognition module, wherein the correction module is used for acquiring monitoring data aiming at the self-service equipment before acquiring target image data acquired by the self-service equipment aiming at an object to be recognized; judging whether the monitoring data is abnormal or not; and when the monitoring data is abnormal, correcting the self-service equipment.
Optionally, the correction module is configured to adjust a speed of image data acquisition performed by the self-service device.
Optionally, the self-service device is provided with a plurality of algorithms for image data identification, and the identification switching module includes:
the target algorithm determining submodule is used for determining a target algorithm according to the target image data;
and the recognition algorithm switching submodule is used for switching the algorithm currently used for recognizing the image data to a target algorithm.
Optionally, the apparatus further comprises:
and the normal identification module is used for identifying the target image data by adopting the algorithm currently used for identifying the image data when the target image data is not abnormal.
Optionally, the apparatus further comprises:
and the warning message generating module is used for generating a warning message when the target image data is abnormal.
Optionally, the monitoring data comprises any one or more of:
the self-service equipment acquires speed monitoring data of image data, definition monitoring data of the image data acquired by the self-service equipment and fault monitoring data of the self-service equipment.
An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the self-service device based data processing method as claimed in any one of the above.
A computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of a self-service device based data processing method as in any one of the above.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the target image data acquired by the self-service equipment aiming at the object to be identified is acquired, then whether the target image data is abnormal or not is judged, the algorithm for identifying the image data is switched when the target image data is abnormal, and the switched algorithm is adopted to identify the target image data. According to the embodiment of the invention, the algorithm is automatically switched by the self-service equipment according to the abnormal condition, so that the algorithm for image data identification of the self-service equipment is matched with the abnormal condition of the self-service equipment, the identification rate of the financial currency detecting equipment is improved, and the currency reject rate of the financial currency detecting equipment is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart illustrating steps of a data processing method based on a self-service device according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of another method for processing data based on a self-service device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing apparatus based on a self-service device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and 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 invention.
Referring to fig. 1, a flowchart illustrating steps of a data processing method based on a self-service device according to an embodiment of the present invention is shown, which may specifically include the following steps:
The object to be identified can be an object which needs to be identified by the self-service equipment, such as paper money and bills.
The self-service device may be a financial device having a function of identifying an object to be identified, such as a banknote identifying device for identifying banknotes, an ATM having a banknote identifying function, an invoice machine having a bill identifying function, a check machine, and the like.
In addition, the self-service equipment can be intelligent equipment with self-evaluation capability and self-repair capability, when the self-service equipment is abnormal, the self-service equipment can evaluate and analyze the abnormality and adjust working parameters according to evaluation and analysis results to realize self-repair; when the self-repairing can not solve the abnormity, the self-repairing can prompt the administrator and send the evaluation and analysis result of the abnormity to the administrator for processing.
When the object to be recognized needs to be recognized, self-service equipment can be firstly adopted to collect image data of the object to be recognized, and target image data are obtained.
For example, if the self-service device is a banknote checking device and the object to be identified is a banknote to be identified, the banknote to be identified can be put into a banknote checking port of the banknote checking device; after detecting that the bank note to be identified is put into the bank note detecting port, the bank note detecting device can process and identify the bank note to be identified which is put into the bank note detecting port so as to identify the authenticity of the bank note to be identified.
And 102, judging whether the target image data is abnormal or not.
In practical application, due to long-term use of the self-service equipment, abnormalities such as aging of internal devices and distortion of hardware signals can occur; when the self-service device is abnormal in internal device aging, hardware signal distortion and the like and is not maintained, the target image data acquired by the self-service device for the object to be identified may be abnormal. Therefore, the acquired target image can be detected and analyzed to judge whether the target image data has abnormality; furthermore, when the target image data is abnormal, the self-service equipment can be judged to be abnormal such as aging of internal devices and distortion of hardware signals.
Specifically, the definition of the target image data can be detected and analyzed, and whether the target image data is abnormal or not can be judged according to the detection and analysis of the definition of the target image data.
For example: a definition threshold value can be preset, then the definition of the target image data is detected, the definition of the target image data is compared with the definition threshold value, and when the definition of the target image data is matched with the definition threshold value, the target image data is represented to be abnormal; and when the definition of the target image data does not match the definition threshold value, representing that the target image data has an abnormality.
And 103, switching the algorithm for image data identification when the target image data is abnormal, and identifying the target image data by adopting the switched algorithm.
Because the definition of the image data required by different recognition algorithms is different, when the target image data is judged to be abnormal, the definition of the target image data is represented, and the definition required by the algorithm currently used for image data recognition by the self-service equipment cannot be met; therefore, when the target image data is abnormal, the algorithm for image data identification of the self-service equipment can be switched to the algorithm for identification matched with the definition of the target image data according to the definition of the target image data; and the switched algorithm is adopted to identify the target image data with the abnormality.
In one example, the sharpness of the image data required by the algorithm before switching is lower than the sharpness of the image data required by the algorithm after switching.
In an embodiment of the present invention, the method may further include the following steps:
and when the target image data is not abnormal, identifying the target image data by adopting the algorithm currently used for identifying the image data.
When the target image data is judged to be abnormal, the self-service equipment is characterized to be abnormal in the absence of internal device aging, distortion of hardware signals and the like. At the moment, the definition of the representation target image data meets the algorithm for image data identification of the self-service equipment at present, and the definition of the target image data is matched with the algorithm of the self-service equipment at present without switching; thus, the current algorithms for image data recognition may continue to be employed to recognize the target image data.
In the embodiment of the invention, target image data acquired by self-service equipment aiming at an object to be identified is acquired, and then whether the target image data is abnormal or not is judged; and when the target image data is abnormal, switching the algorithm for image data identification, and identifying the target image data by adopting the switched algorithm. According to the embodiment of the invention, the automatic switching of the recognition algorithm of the self-service equipment according to the current situation is realized, so that the algorithm for image data recognition of the self-service equipment at present is matched with the current situation of the self-service equipment, the recognition rate of the financial currency detecting equipment is improved, and the currency reject rate of the financial currency detecting equipment is reduced.
Referring to fig. 2, a flowchart illustrating steps of another data processing method based on a self-service device according to an embodiment of the present invention is shown, which may specifically include the following steps:
As an example, the monitoring data may include any one or more of: the self-service equipment acquires speed monitoring data of image data, definition monitoring data of the image data acquired by the self-service equipment and fault monitoring data of the self-service equipment.
In practical application, when the self-service equipment is detected to be abnormal, the self-service equipment is corrected first, and then the corrected self-service equipment is adopted to collect target image data.
Specifically, monitoring data for the self-service equipment can be acquired when the self-service equipment identifies an object to be identified; for example: when the self-service equipment collects image data for an object to be identified, monitoring the speed of collecting the image data for the self-service equipment to obtain monitoring data; the definition of the acquired image data can be monitored to obtain monitoring data; whether the self-service equipment breaks down or not can be monitored to obtain monitoring data.
Step 202, judging whether the monitoring data is abnormal or not.
After the monitoring data are obtained, the monitoring data can be analyzed to judge whether the monitoring data are abnormal or not; when the monitoring data is abnormal, the characteristic self-service equipment may have the abnormalities such as aging of internal devices, hardware signal distortion and the like.
Specifically, a speed threshold value can be preset, and then whether the speed monitoring data acquired by the self-service equipment for the image data is abnormal or not can be judged according to the speed threshold value; a definition threshold value can also be preset, and then whether the definition monitoring data of the image data acquired by the self-service equipment is abnormal or not can be judged according to the definition threshold value; of course, the detection data obtained by monitoring whether the self-service equipment has faults can be directly analyzed to judge whether the monitoring data is abnormal.
In an example, when the monitoring data is detected to have an abnormality, an alarm prompt may be performed for the abnormality to inform the user that the self-service device may have a fault and needs to be overhauled.
And step 203, when the monitoring data is abnormal, correcting the self-service equipment.
When the monitoring data are detected to be abnormal, the self-service equipment can be corrected, so that the working parameters and the working state of the self-service equipment can be adjusted.
In an embodiment of the present invention, step 203 may include: and adjusting the speed of image data acquisition of the self-service equipment.
Specifically, a default speed for acquiring image data may be preset; when the monitoring data is detected to be abnormal, the speed for acquiring the image data can be adjusted to ensure that the self-service equipment has enough time to acquire the image data meeting the required definition; for example: the speed at which image data acquisition is performed can be reduced.
In an example, the self-service device may include a control unit that may control the speed at which the self-service device performs image data acquisition.
In an example, other operating parameters of the self-service device may be modified upon detecting an anomaly in the monitoring data.
After the self-service equipment is adjusted, monitoring data can be continuously acquired, and when the monitoring data are still abnormal, the speed of image data acquisition of the self-service equipment is continuously adjusted until the monitoring data are not abnormal.
And 204, acquiring target image data acquired by the self-service equipment aiming at the object to be identified.
After the self-service equipment is corrected, the corrected self-service equipment can be used for collecting the target image data of the object to be recognized again.
In an example, the self-service device may further include a capture unit that may capture image data of the object to be identified.
Step 205, determine whether the target image data is abnormal.
After the target image data is acquired, the self-service equipment can analyze the definition of the target image data; when the target image data which is acquired again is still abnormal, the representation that the abnormality of the current self-service equipment cannot be solved only by correcting the self-service equipment; at this time, the definition of the image data acquired by the self-service equipment still cannot be matched with the algorithm for identifying the image data by the current self-service equipment; therefore, the algorithm for image data recognition can be switched again to switch the algorithm to the algorithm matched with the definition of the currently acquired target image data with the abnormality.
In an example, the target image data may also be analyzed; if the analysis result shows that the target image data has serious abnormality and the accuracy of the identification result is seriously influenced, the target image data can be discarded and an alarm is sent out; if the analysis result shows that the abnormality of the target image data is slight.
And step 206, when the target image data is abnormal, switching the algorithm for image data identification, and identifying the target image data by adopting the switched algorithm.
When the target image data is judged to be abnormal, representing that the device and/or hardware signals in the self-service equipment after correction are still abnormal, and acquiring the image data with the definition matched with the algorithm for image data identification of the self-service equipment at present. At this time, the algorithm used by the self-service device for identifying the target image data can be adjusted to ensure that the algorithm for identifying the target image data is the algorithm matched with the definition of the target image data.
In an example, the self-service device can further include an algorithm identification system that can employ an algorithm to identify the image data and switch the algorithm for identification.
In an embodiment of the present invention, the self-service device may be provided with a plurality of algorithms for image data recognition, and step 206 may include the following sub-steps:
substep 11, determining a target algorithm according to the target image data;
in practical application, a plurality of algorithms for identifying the image data can be embedded in the algorithm identification system of the self-service equipment in advance, and the definition of the image data required by different algorithms is different. Furthermore, when it is determined that there is an abnormality in the target image data, an algorithm matching the definition of the target image data may be determined as the target algorithm from among a plurality of algorithms for image data recognition provided in the self-service device, according to the definition of the target image data.
And a substep 12 of switching the algorithm currently used for image data recognition to the target algorithm.
After the target algorithm is determined, the algorithm currently used for image data identification of the self-service equipment can be switched to the target algorithm; for example: the self-service equipment defaults to an algorithm for image data identification as A, and determines that the target algorithm is B according to the target image data, so that the algorithm for image data identification of the self-service equipment can be switched from A to B; wherein the sharpness of the image data required by algorithm a is lower than the sharpness of the image data required by algorithm B.
In an embodiment of the present invention, the method may further include the following steps:
and when the target image data is abnormal, generating an alarm message.
When the target image data is detected to be abnormal, in order to avoid misjudgment possibly caused by continuous use of the self-service equipment, an alarm message can be generated to prompt a user that the self-service equipment is abnormal and needs to be overhauled as soon as possible.
In an example, an alarm message may be generated for a situation corresponding to an anomaly to accurately inform a user of what the anomaly exists for the self-service device.
In an example, the speed of image data acquisition of the self-service equipment can be adjusted according to the result of identifying the target image data; alternatively, the algorithm for image data recognition is switched again.
In an embodiment of the present invention, when there is no abnormality in the target image data, the target image data is identified by using an algorithm currently used for image data identification.
When it is determined that there is no abnormality in the target image data, the target image data may be identified by continuing to use the algorithm currently used for image data identification.
In the embodiment of the invention, monitoring data for the self-service equipment is acquired, whether the monitoring data is abnormal or not is judged, and when the monitoring data is abnormal, the self-service equipment is corrected; and then acquiring target image data acquired by the self-service equipment aiming at the object to be identified, judging whether the target image data is abnormal or not, switching the algorithm for identifying the image data when the target image data is abnormal, and identifying the target image data by adopting the switched algorithm. According to the embodiment of the invention, the self-service equipment can automatically correct according to the current abnormal condition, so that the self-service equipment can automatically correct when the self-service equipment is abnormal, and the definition of the acquired image data is ensured.
And after correction, monitoring is continuously carried out on the acquired image data, and when the image data is abnormal, the algorithm for identifying the image data is switched, so that when the definition of the image data acquired by the self-service equipment cannot be improved by correction, the algorithm for identifying the image data is matched with the definition of the currently acquired image data, and the identification rate and the bank note rejection rate of the financial currency detecting equipment are ensured.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3, a schematic structural diagram of a data processing apparatus based on a self-service device according to an embodiment of the present invention is shown, where the apparatus may include:
an obtaining module 301, configured to obtain target image data acquired by a self-service device for an object to be identified;
a judging module 302, configured to judge whether the target image data is abnormal;
the identification switching module 303 is configured to switch an algorithm for image data identification when the target image data is abnormal, and identify the target image data by using the switched algorithm.
In an embodiment of the present invention, the apparatus may further include:
the self-service equipment comprises a correction module, a recognition module and a recognition module, wherein the correction module is used for acquiring monitoring data aiming at the self-service equipment before acquiring target image data acquired by the self-service equipment aiming at an object to be recognized; judging whether the monitoring data is abnormal or not; and when the monitoring data is abnormal, correcting the self-service equipment.
In an embodiment of the present invention, the correction module is configured to adjust a speed of image data acquisition performed by the self-service device.
In an embodiment of the present invention, the self-service device is provided with a plurality of algorithms for performing image data identification, and the identification switching module 303 may include:
the target algorithm determining submodule is used for determining a target algorithm according to the target image data;
and the recognition algorithm switching submodule is used for switching the algorithm currently used for recognizing the image data to a target algorithm.
In an embodiment of the present invention, the apparatus may further include:
and the normal identification module is used for identifying the target image data by adopting the algorithm currently used for identifying the image data when the target image data is not abnormal.
In an embodiment of the present invention, the apparatus may further include:
and the warning message generating module is used for generating a warning message when the target image data is abnormal.
In an embodiment of the invention, the monitoring data may comprise any one or more of:
the self-service equipment acquires speed monitoring data of image data, definition monitoring data of the image data acquired by the self-service equipment and fault monitoring data of the self-service equipment.
In the embodiment of the invention, the target image data acquired by the self-service equipment aiming at the object to be identified is acquired, then whether the target image data is abnormal or not is judged, the algorithm for identifying the image data is switched when the target image data is abnormal, and the switched algorithm is adopted to identify the target image data. According to the embodiment of the invention, the algorithm is automatically switched by the self-service equipment according to the abnormal condition, so that the algorithm for image data identification of the self-service equipment is matched with the abnormal condition of the self-service equipment, the identification rate of the financial currency detecting equipment is improved, and the currency reject rate of the financial currency detecting equipment is reduced.
An embodiment of the present invention further provides an electronic device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements the steps of the data processing method based on the self-service device.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above data processing method based on the self-service device.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The data processing method and device based on the self-service equipment are introduced in detail, and a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A data processing method based on self-service equipment is characterized by comprising the following steps:
acquiring target image data acquired by the self-service equipment aiming at an object to be identified;
judging whether the target image data is abnormal or not;
and when the target image data is abnormal, switching the algorithm for image data identification, and identifying the target image data by adopting the switched algorithm.
2. The method of claim 1, wherein prior to the obtaining target image data acquired by the self-service device for an object to be identified, the method further comprises:
acquiring monitoring data for the self-service equipment;
judging whether the monitoring data is abnormal or not;
and when the monitoring data is abnormal, correcting the self-service equipment.
3. The method of claim 2, wherein the modifying the self-service device comprises:
and adjusting the speed of image data acquisition of the self-service equipment.
4. The method of claim 1, 2 or 3, wherein the self-service device is provided with a plurality of algorithms for image data recognition, and the switching of the algorithms for image data recognition comprises:
determining a target algorithm according to the target image data;
and switching the algorithm currently used for image data identification to the target algorithm.
5. The method of claim 1, further comprising:
and when the target image data is not abnormal, identifying the target image data by adopting the algorithm currently used for identifying the image data.
6. The method of claim 1, further comprising:
and generating an alarm message when the target image data is abnormal.
7. The method of claim 2, wherein the monitoring data comprises any one or more of:
the self-service equipment carries out speed monitoring data of image data acquisition, definition monitoring data of the image data acquired by the self-service equipment and fault monitoring data of the self-service equipment.
8. A self-service device based data processing apparatus, the apparatus comprising:
the self-service equipment comprises an acquisition module, a recognition module and a recognition module, wherein the acquisition module is used for acquiring target image data acquired by the self-service equipment aiming at an object to be recognized;
the judging module is used for judging whether the target image data is abnormal or not;
and the identification module is used for switching the algorithm for identifying the image data when the target image data is abnormal and identifying the target image data by adopting the switched algorithm.
9. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the self-service device based data processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of the self-service device-based data processing method according to any one of claims 1 to 7.
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