CN111931884A - Performance data acquisition method and device and electronic equipment - Google Patents
Performance data acquisition method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a performance data acquisition method and device and electronic equipment. One embodiment of the method comprises: in response to receiving the target identification code, determining a target identification algorithm for identifying the target identification code; and feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm. This embodiment reduces the failure rate of acquiring the recognition performance data of the target recognition algorithm.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a performance data acquisition method and device and electronic equipment.
Background
In some applications (apps) installed in a terminal device, a scanning function of a two-dimensional code is provided to a user. For example, by scanning a two-dimensional code, information of a product is identified. For another example, payment of the amount is completed by scanning the two-dimensional code.
In order to realize the scanning function of the two-dimensional code, the information contained in the two-dimensional code needs to be identified by using an identification algorithm of the two-dimensional code. In practice, in order to determine the recognition performance of a recognition algorithm, it is necessary to collect performance data characterizing the recognition performance of the recognition algorithm.
In the related art, an identification algorithm is built in advance in an APP installed in a terminal of a user. And if the user uses the two-dimensional code scanning function of the APP, acquiring performance data representing the identification performance of the identification algorithm.
Disclosure of Invention
This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The embodiment of the disclosure provides a performance data acquisition method, a performance data acquisition device and electronic equipment, and reduces the failure rate of acquiring the identification performance data of a target identification algorithm.
In a first aspect, an embodiment of the present disclosure provides a performance data acquisition method, including: in response to receiving the target identification code, determining a target identification algorithm for identifying the target identification code; and feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
In a second aspect, an embodiment of the present disclosure provides a performance data acquisition apparatus, including: a determination unit configured to determine, in response to receiving the target identification code, a target recognition algorithm for recognizing the target identification code; and the feedback unit is used for feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the performance data acquisition method of the first aspect.
In a fourth aspect, embodiments of the present disclosure provide a computer-readable medium, on which a computer program is stored, which when executed by a processor, performs the steps of the performance data acquisition method according to the first aspect.
The performance data acquisition method, the performance data acquisition device and the electronic equipment provided by the embodiment of the disclosure can receive the target identification code. Further, in response to receiving the target identification code, a target recognition algorithm for recognizing the target identification code may be determined. Still further, the identification performance data of the target identification algorithm can be fed back to the server based on the identification process of the target identification code by the target identification algorithm. In practice, different recognition algorithms are suitable for recognizing identification codes in different states, or in different environments. Therefore, the received target identification code is identified through the determined target identification algorithm suitable for identifying the target identification code, and the identification accuracy of the target identification code is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a flow diagram of some embodiments of a performance data collection method according to the present disclosure;
FIG. 2 is a schematic diagram of one application scenario of a performance data collection method according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of a performance data acquisition device according to the present disclosure;
FIG. 4 is an exemplary system architecture to which the performance data collection methods of some embodiments of the present disclosure may be applied;
fig. 5 is a schematic diagram of a basic structure of an electronic device provided in accordance with some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Referring to fig. 1, a flow diagram of some embodiments of a performance data collection method according to the present disclosure is shown. As shown in fig. 1, the performance data acquisition method includes the following steps:
in response to receiving the target identification code, a target identification algorithm for identifying the target identification code is determined, step 101.
In this embodiment, the execution subject of the performance data collection method (e.g., the terminal devices 401, 402 shown in fig. 4) may receive the target identification code.
It will be appreciated that the target identifier may be an identifier received by the executing agent as described above. For example, the target identification code may be a three-dimensional barcode.
In some scenarios, the execution agent may receive a target identifier selected by a user from a local album.
In other scenarios, the execution body may receive the target identification code scanned by the user using the acquisition device (e.g., a camera).
In this embodiment, in response to receiving the target identification code, the execution subject may determine a target recognition algorithm for recognizing the target identification code.
It will be appreciated that the target recognition algorithm may be an algorithm for recognizing a target identification code.
In some scenarios, the execution body may send information that the target identification code was received to a server of the communication connection. Further, the server may return specification information of the recognition algorithm of the object identification code to the execution main body. Still further, the executing agent may use the identification algorithm specified by the received specification information as the target identification algorithm.
And 102, feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
In this embodiment, the executing agent may feed back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
It will be understood that the identification performance data may be data characterizing the identification performance of the target identification code by the target identification algorithm. In practice, identifying performance data may include at least one of: identification speed, occupancy rate of a Central Processing Unit (CPU), occupancy rate of a memory, and information representing success or failure of identification. It should be noted that the identification performance data may also include other information according to actual needs, which is not listed here.
In some scenarios, in the process of identifying the target identification code by the target identification algorithm, the executing body may monitor the identification performance of the target identification code by the target identification algorithm through a built-in monitoring program. Thus, recognition performance data of the target recognition algorithm is obtained. Further, the execution agent may feed back the obtained recognition performance data to a server (e.g., the server 404 shown in fig. 4).
At present, in order to collect performance data representing the identification performance of an identification algorithm, in the related art, an identification algorithm is built in advance in an APP installed in a terminal of a user. And if the user uses the two-dimensional code scanning function of the APP, acquiring performance data representing the identification performance of the identification algorithm. In practice, different recognition algorithms may be suitable for recognizing two-dimensional codes in different environments or in different states. Therefore, if only one recognition algorithm is built in the APP, the recognition accuracy of the two-dimensional code may be reduced. Therefore, the failure rate of two-dimensional code identification is high to a certain extent. Further, the failure rate of collecting the performance data representing the recognition performance of the recognition algorithm is high. And, the user experience of the user using the scanning function is reduced.
In the present embodiment, in response to receiving the target identification code, the target recognition algorithm for recognizing the target identification code is determined, so that the target recognition algorithm suitable for recognizing the received target identification code can be determined. In practice, different recognition algorithms are suitable for recognizing identification codes in different states, or in different environments. Therefore, the target identification code is identified through the determined target identification algorithm suitable for identifying the target identification code, and the failure rate of identifying the target identification code can be reduced. And moreover, the user experience of using the scanning function by the user is improved. Furthermore, based on the identification process of the target identification code by the target identification algorithm, the identification performance data of the target identification algorithm is fed back to the server, so that the failure rate of acquiring the identification performance data can be reduced.
In some embodiments, the performing agent of the performance data collection method may determine the target recognition algorithm for recognizing the received target identification code as follows.
Specifically, a target recognition algorithm is determined from a first recognition algorithm and a second recognition algorithm for use by a predetermined application.
It will be appreciated that both the first recognition algorithm and the second recognition algorithm may be recognition algorithms for use by a predetermined application. It should be noted that the recognition algorithm for the predetermined application includes, but is not limited to, the first recognition algorithm and the second recognition algorithm. In practice, the recognition algorithm for the predetermined application can be flexibly set according to actual requirements.
Here, the predetermined application may be an application program providing an identification function of the identification code.
In some scenarios, the execution body may present pre-set feature options. In practice, the feature options may include, but are not limited to, at least one of: the identification code slope, the environment at identification code place is darker, and the deformation takes place for the identification code, and the identification code is far away with collection system's distance when gathering. Further, the user can select corresponding options from the feature options according to the self feature of the target identification code and the feature of the environment where the target identification code is located. Still further, the executing body may determine, from the first recognition algorithm and the second recognition algorithm, a recognition algorithm suitable for recognizing the corresponding feature as the target recognition algorithm according to the option selected by the user.
In these embodiments, the target recognition algorithm for recognizing the received target identification code is determined from the first recognition algorithm and the second recognition algorithm preset in the predetermined application.
In some embodiments, the performing agent of the performance data collecting method may determine the target recognition algorithm for recognizing the received target identification code from the first recognition algorithm and the second recognition algorithm in the following manner. Specifically, based on the received configuration information, a target recognition algorithm for recognizing the target identification code is determined from the first recognition algorithm and the second recognition algorithm.
The configuration information is used for configuring an identification algorithm for identifying the target identification code.
In some scenarios, the execution body may determine whether the received configuration information is within a validity period. Further, in response to the configuration information being within the validity period, the execution subject may use the identification algorithm configured by the configuration information as a target identification algorithm for identifying the target identification code.
In these embodiments, a target recognition algorithm for recognizing the received target identification code is determined from the first recognition algorithm and the second recognition algorithm by receiving the configuration information. Thus, a new method of determining a target recognition algorithm is provided.
In some embodiments, the performing agent of the performance data collecting method may determine the target recognition algorithm for recognizing the target identification code from the first recognition algorithm and the second recognition algorithm as follows.
Specifically, the recognition algorithm configured by the configuration information is used as the target recognition algorithm.
Thus, the object recognition algorithm for recognizing the object recognition code is configured by the configuration information.
In some embodiments, the configuration information is received from a server (e.g., server 404 shown in FIG. 4). Therefore, the target identification algorithm for identifying the received target identification code is determined from the first identification algorithm and the second identification algorithm through the configuration information issued by the server. And further, feeding back the identification performance data of the target identification algorithm to the server.
In some embodiments, the performing agent of the performance data collecting method may determine the target recognition algorithm for recognizing the received target identification code from the first recognition algorithm and the second recognition algorithm in the following manner.
In a first step, a predetermined characteristic is determined for the target identification code.
The predetermined characteristic may be a predefined diagnosis. Optionally, the predetermined characteristic comprises at least one of: the inclination angle, the ambient brightness of the environment, the deformation degree and the acquisition distance between the target identification code and the acquisition device during acquisition.
It will be appreciated that the acquisition means may be means for acquiring the target identification code. For example, the acquisition device may be the camera described above that performs the communication connection of the main body.
In some scenarios, the target identification code is an identification code received by the execution subject through the acquisition device. The execution body can determine the predetermined characteristic aiming at the target identification code according to the data collected by the sensor of the communication connection. For example, the ambient brightness of the environment where the target identification code is located is determined through the data collected by the light-sensitive sensor. For another example, the acquisition distance of the target identification code is determined by data acquired by the distance sensor.
In other scenarios, the target identifier is the identifier received by the execution agent from the local album. The execution body may extract a predetermined feature for the target identification code by a built-in feature extraction algorithm.
And secondly, determining a target recognition algorithm from the first recognition algorithm and the second recognition algorithm according to the preset characteristics.
In some scenarios, the executing entity may determine, as the target recognition algorithm, a recognition algorithm suitable for recognizing the predetermined feature from the first recognition algorithm and the second recognition algorithm.
In these embodiments, a target recognition algorithm for recognizing the target identification code is determined from the first recognition algorithm and the second recognition algorithm according to the predetermined feature determined for the received target identification code. Therefore, the success rate of identifying the received target identification code is improved. Further, the user experience of the user using the scanning function in the predetermined application is improved.
In some embodiments, a server communicatively coupled to an executing agent of the performance data collection method may perform the following steps.
Specifically, the configuration proportion of the first recognition algorithm and the second recognition algorithm in the predetermined application is updated based on the recognition performance data of the first recognition algorithm and the second recognition algorithm.
The above arrangement ratio may be a ratio of the arrangement of the recognition algorithm to a predetermined application. For example, the configuration proportion of the first identification algorithm in the predetermined application is 60%, and the configuration proportion of the second identification algorithm in the predetermined application is 40%. Here, it is assumed that the recognition algorithm for use in the predetermined application includes only the first recognition algorithm and the second recognition algorithm, and is not a further limitation of the present disclosure. Of course, the recognition algorithm for use in the predetermined application may also include other recognition algorithms, which are not illustrated herein.
It will be appreciated that the higher the proportion of recognition algorithms deployed, the more users that use the recognition algorithms through the intended application. For example, if the configuration proportion of the first recognition algorithm in the predetermined application is 60%, then 60% of the users of the predetermined application use the first recognition algorithm. Accordingly, if the configuration ratio of the second recognition algorithm in the predetermined application is 40%, 40% of users of the predetermined application use the second recognition algorithm.
In some scenarios, the executing entity may determine, from the first recognition algorithm and the second recognition algorithm, a recognition algorithm whose recognition performance satisfies a predetermined requirement, based on the recognition performance data of the first recognition algorithm and the recognition performance data of the second recognition algorithm. Further, the execution subject can improve the configuration proportion of the recognition algorithm meeting the preset requirement. Accordingly, the execution subject described above can reduce the proportion of the configuration of the recognition algorithm that does not satisfy the predetermined requirement.
It is understood that by updating the configuration ratio of the first recognition algorithm and the second recognition algorithm in the predetermined application, the recognition algorithm with better recognition performance is promoted to the user according to the recognition performance of the first recognition algorithm and the second recognition algorithm. Therefore, according to the performance data fed back by the terminal, the identification algorithm with better identification performance is popularized to users with larger proportion.
In some embodiments, the target identification code comprises a one-dimensional barcode and/or a two-dimensional barcode. Therefore, if the one-dimensional bar code and/or the two-dimensional bar code is received, the identification performance data of the target identification algorithm on the one-dimensional bar code and/or the two-dimensional bar code can be obtained. Further, the obtained identification performance data is fed back to the server.
Referring to fig. 2, an application scenario of a performance data collection method according to an embodiment of the present disclosure is shown. As shown in fig. 2, the terminal device 201 may receive the object identification code 203 from the predetermined application 202. The predetermined application 202 includes a first recognition algorithm 204 and a second recognition algorithm 205. Further, the terminal device 201 may select one recognition algorithm from the first recognition algorithm 204 and the second recognition algorithm 205 as the target recognition algorithm 206 for recognizing the target identification code 203. Still further, the terminal device 201 may obtain the identification performance data 207 of the target identification algorithm 206 in the identification process of the target identification code 203 by the target identification algorithm 206. Finally, the terminal device 201 may feed back the identification performance data 207 to the server 208. Thus, the implementation server 208 collects the identification performance data 207 of the target identification code 203 by the target identification algorithm 206.
With further reference to fig. 3, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a performance data acquisition apparatus, which correspond to the method embodiment shown in fig. 1, and which may be specifically applied to various electronic devices.
As shown in fig. 3, the performance data acquisition apparatus of the present embodiment includes: a determination unit 301 and a feedback unit 302. The determination unit 301 is configured to: in response to receiving the target identification code, a target recognition algorithm for recognizing the target identification code is determined. The feedback unit 302 is configured to: and feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
In this embodiment, specific processing of the determining unit 301 and the feedback unit 302 of the performance data acquiring apparatus and technical effects thereof may refer to related descriptions of step 101 and step 102 in the corresponding embodiment of fig. 1, which are not described herein again.
In some embodiments, the determining unit 301 is further configured to: from the first recognition algorithm and the second recognition algorithm for use by the predetermined application, a target recognition algorithm is determined.
In some embodiments, the determining unit 301 is further configured to: and determining a target identification algorithm from the first identification algorithm and the second identification algorithm based on the received configuration information, wherein the configuration information is used for configuring the identification algorithm for identifying the target identification code.
In some embodiments, the determining unit 301 is further configured to: and taking the recognition algorithm configured by the configuration information as a target recognition algorithm.
In some embodiments, the configuration information is received from the server.
In some embodiments, the determining unit 301 is further configured to: determining a predetermined characteristic for the target identification code; and determining a target recognition algorithm from the first recognition algorithm and the second recognition algorithm according to the preset characteristics.
In some embodiments, the predetermined characteristic includes at least one of: the inclination angle, the ambient brightness of the environment, the deformation degree and the acquisition distance between the target identification code and the acquisition device during acquisition.
In some embodiments, the server is further configured to: and updating the configuration proportion of the first recognition algorithm and the second recognition algorithm in the preset application based on the recognition performance data of the first recognition algorithm and the second recognition algorithm.
In some embodiments, the target identification code comprises a one-dimensional barcode and/or a two-dimensional barcode.
With further reference to fig. 4, fig. 4 illustrates an exemplary system architecture to which the performance data acquisition methods of some embodiments of the present disclosure may be applied.
As shown in fig. 4, the system architecture may include terminal devices 401, 402, a network 403, and a server 404. The network 403 is the medium used to provide communication links between the terminal devices 401, 402 and the server 404. The network 403 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The terminal devices 401, 402 may interact with a server 404 via a network 403. Various client applications may be installed on the terminal devices 401, 402. For example, the terminal devices 401 and 402 may be installed with shopping applications, search applications, news applications, and the like. In some scenarios, the terminal device 401, 402 may receive the target identification code. Further, in response to receiving the target identification code, the terminal device 401, 402 may determine a target recognition algorithm for recognizing the target identification code. Still further, the terminal devices 401 and 402 may feed back the identification performance data of the target identification algorithm to the server 404 based on the identification process of the target identification code by the target identification algorithm.
The terminal devices 401 and 402 may be hardware or software. When the terminal devices 401, 402 are hardware, they may be various electronic devices having a display screen and supporting information interaction, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal devices 401 and 402 are software, they can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
The server 404 may be a server that provides various services. In some scenarios, the server 404 may perform a predetermined operation based on the received identification performance data.
The server 404 may be hardware or software. When the server 404 is hardware, it can be implemented as a distributed server cluster composed of a plurality of servers, or as a single server. When the server 404 is software, it may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the performance data collection method provided by the embodiment of the present disclosure may be executed by the terminal devices 401 and 402, and accordingly, the performance data collection apparatus may be disposed in the terminal devices 401 and 402.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to fig. 5, shown is a schematic diagram of an electronic device (e.g., the terminal device of fig. 4) suitable for use in implementing some embodiments of the present disclosure. The terminal device in some embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, the electronic device may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 501.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be included in the electronic device or may exist separately without being incorporated in the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the target identification code, determining a target identification algorithm for identifying the target identification code; and feeding back the identification performance data of the target identification algorithm to the server based on the identification process of the target identification code by the target identification algorithm.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. Where the names of the units do not in some cases constitute a limitation on the units themselves, the determining unit may also be described as a unit that determines a target identification algorithm for identifying the target identification code in response to receiving the target identification code, for example.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure in the embodiments of the present disclosure is not limited to the particular combination of the above-described features, but also encompasses other embodiments in which any combination of the above-described features or their equivalents is possible without departing from the scope of the present disclosure. For example, the above features may be interchanged with other features disclosed in this disclosure (but not limited to) those having similar functions.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (12)
1. A method of performance data acquisition, comprising:
in response to receiving a target identification code, determining a target identification algorithm for identifying the target identification code;
and feeding back the identification performance data of the target identification algorithm to a server based on the identification process of the target identification code by the target identification algorithm.
2. The method of claim 1, wherein determining the target recognition algorithm for recognizing the target identification code comprises:
the target recognition algorithm is determined from a first recognition algorithm and a second recognition algorithm for use by a predetermined application.
3. The method of claim 2, wherein determining the target recognition algorithm from the first recognition algorithm and the second recognition algorithm for use by the predetermined application comprises:
and determining the target identification algorithm from the first identification algorithm and the second identification algorithm based on the received configuration information, wherein the configuration information is used for configuring the identification algorithm for identifying the target identification code.
4. The method of claim 3, wherein determining the target recognition algorithm from the first recognition algorithm and the second recognition algorithm based on the received configuration information comprises:
and taking the identification algorithm configured by the configuration information as the target identification algorithm.
5. The method of claim 3, wherein the configuration information is received from the server.
6. The method of claim 2, wherein determining the target recognition algorithm from the first recognition algorithm and the second recognition algorithm for use by the predetermined application comprises:
determining a predetermined characteristic for the target identification code;
and determining the target recognition algorithm from the first recognition algorithm and the second recognition algorithm according to the preset characteristics.
7. The method of claim 6, wherein the predetermined characteristic comprises at least one of: the target identification code acquisition device comprises an inclination angle, the ambient brightness of the environment where the target identification code is located, the deformation degree and the acquisition distance between the target identification code and the acquisition device during acquisition.
8. The method of claim 2, further comprising:
the server updates the configuration proportion of the first identification algorithm and the second identification algorithm in the predetermined application based on the identification performance data of the first identification algorithm and the second identification algorithm.
9. The method of any one of claims 1-8, wherein the target identification code comprises a one-dimensional barcode and/or a two-dimensional barcode.
10. A performance data collection device, comprising:
a determination unit configured to determine, in response to receiving a target identification code, a target identification algorithm for identifying the target identification code;
and the feedback unit is used for feeding back the identification performance data of the target identification algorithm to a server based on the identification process of the target identification code by the target identification algorithm.
11. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-9.
12. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-9.
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