CN113496155A - Information processing method, device, equipment and computer readable medium - Google Patents
Information processing method, device, equipment and computer readable medium Download PDFInfo
- Publication number
- CN113496155A CN113496155A CN202010202302.2A CN202010202302A CN113496155A CN 113496155 A CN113496155 A CN 113496155A CN 202010202302 A CN202010202302 A CN 202010202302A CN 113496155 A CN113496155 A CN 113496155A
- Authority
- CN
- China
- Prior art keywords
- face image
- storage system
- information
- information processing
- uniform resource
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Finance (AREA)
- Quality & Reliability (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Software Systems (AREA)
- Collating Specific Patterns (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a method, a device, equipment and a computer readable medium for information processing, and relates to the technical field of computers. One embodiment of the method comprises: synchronously storing the collected face images to a storage system, receiving uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images into a task table; inquiring the task table, acquiring a uniform resource locator of the face image and the record information, and acquiring the face image from the storage system based on the uniform resource locator of the face image; and identifying the face image acquired from the storage system, and carrying out information processing by combining an identification result and the recorded information. This embodiment can reduce the failure rate of information processing.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a computer-readable medium for processing information.
Background
With the increasing maturity of face recognition technology, due to its convenience, accuracy and stability, information processing has been widely applied in various industries by adopting face recognition technology.
In the warehousing system, the face recognition technology is used as a tool for recognizing the identity of warehousing staff and checking cards of the warehousing staff on and off duty, so that the management of warehouse staff entering and exiting is greatly facilitated, and the duty-to-duty time of the warehousing staff is shortened.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: by adopting the face recognition technology, the time consumption in the information processing process is long, and the failure rate of information processing is high.
Disclosure of Invention
In view of this, embodiments of the present invention provide an information processing method, apparatus, device, and computer readable medium, which can reduce a failure rate of information processing.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an information processing method including:
synchronously storing the collected face images to a storage system, receiving uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images into a task table;
inquiring the task table, acquiring a uniform resource locator of the face image and the record information, and acquiring the face image from the storage system based on the uniform resource locator of the face image;
and identifying the face image acquired from the storage system, and carrying out information processing by combining an identification result and the recorded information.
The synchronous storage of the collected face images to a storage system comprises:
and synchronously storing the acquired face images to a storage system according to preset recording conditions.
The preset recording condition includes one of: and identifying the failure of the acquired face image, a preset time period, a preset recording mechanism and a preset face identification in real time.
The synchronous storage of the collected face images to a storage system and the receiving of the uniform resource locators of the face images comprises the following steps:
storing the collected face image into a file storage server according to the instruction of a tracking server;
and receiving the uniform resource locator of the face image sent by the file storage server.
The querying the task table to obtain the uniform resource locator of the face image and the record information includes:
and querying the task table according to a preset query condition to obtain the uniform resource locator of the face image and the record information.
The preset query conditions comprise: the number of uniform resource locators in the query period or task table is preset.
The recognizing the face image obtained from the storage system and combining the recognition result and the record information to process information comprises the following steps:
recognizing the face image acquired from the storage system for preset times to obtain a recognition result;
and combining the recognition result with the recording information to obtain the record of the face image acquired from the storage system.
According to a second aspect of the embodiments of the present invention, there is provided an information processing apparatus including:
the storage module is used for synchronously storing the acquired face images to a storage system, receiving the uniform resource locators of the face images and storing the uniform resource locators and the record information of the face images into a task table;
the acquisition module is used for inquiring the task table, acquiring the uniform resource locator and the record information of the face image, and acquiring the face image from the storage system based on the uniform resource locator of the face image;
and the recording module is used for identifying the face image acquired from the storage system and carrying out information processing by combining an identification result and the recording information.
According to a third aspect of embodiments of the present invention, there is provided an information processing electronic device including:
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 as described above.
According to a fourth aspect of embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the method as described above.
One embodiment of the above invention has the following advantages or benefits: synchronously storing the collected face images to a storage system, receiving uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images to a task table; inquiring a task table, acquiring a uniform resource locator and record information of the face image, and acquiring the face image from a storage system based on the uniform resource locator of the face image; and recognizing the face image acquired from the storage system, and performing information processing by combining the recognition result and the recorded information.
The storage system can be used for storing the collected face images, so that the face images do not need to be recognized in real time. The face image is acquired from the storage system for asynchronous recognition, the face recognition takes a long time and does not influence the information processing, so that the failure rate of the information processing can be reduced.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of a method flow of existing information processing;
fig. 2 is a schematic diagram of a main flow of a method of information processing according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of synchronous storage of face images to a storage system according to an embodiment of the invention;
FIG. 4 is an architecture diagram of a memory system according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a flow of information processing in combination of a recognition result and record information according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a main structure of an information processing apparatus according to an embodiment of the present invention;
FIG. 7 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 8 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Currently, in warehousing systems, warehousing employees perform information processing through face recognition, and as one example, the information processing may include recording attendance. Referring to fig. 1, fig. 1 is a schematic diagram of a conventional method flow of information processing, which specifically includes:
s101, collecting a face image and recording information.
The staff aims at the face to the acquisition equipment, and the acquisition equipment can acquire the face image and the record information. The recording information may include collecting device information and preset mechanism information. The preset mechanism information is the information of the department to which the face image belongs.
S102, the face image is recognized successfully.
And identifying the acquired face image by using a face identification technology. If the identification is successful, the identity corresponding to the face image can be determined; and if the identification fails, determining that the information processing fails.
S103, receiving the identity.
In the case of successfully recognizing a face image, an identification of the face image may be received.
S104, the recorded information is identified successfully.
And identifying whether the face image is matched with preset mechanism information in the recorded information or not according to the identity of the face image. Namely, whether the identity of the face image belongs to the mechanism corresponding to the preset mechanism information or not.
If the identity of the face image is matched with the preset mechanism information, the information is successfully identified and recorded; if the identity of the face image does not accord with the preset mechanism information, the recorded information is failed to be identified.
And S105, processing the information according to the identity and the recorded information.
According to the identity and the record information, determining that the information is successfully processed, and then successfully processing the information; and if the information cannot be successfully processed according to the identity identification and the recorded information, the information processing fails.
S106, information processing is successful.
And after the information is successfully processed, determining that the information is successfully processed.
In the above information processing process, face recognition technology is generally provided by a special department or institution due to its specialty, complexity, and versatility. The face image is generally transmitted in a byte stream mode, the data volume is large, a server occupies more memory, and the recognition result can be determined in a longer time.
The failure rate of processing information is high because the face recognition takes longer time and further leads to failure of processing information.
In order to solve the technical problem that the failure rate of processing information is high due to long time consumption of face recognition, the following technical scheme in the embodiment of the invention can be adopted.
Referring to fig. 2, fig. 2 is a schematic diagram of a main flow of an information processing method according to an embodiment of the present invention, in which a face image is stored in a storage system to asynchronously recognize the face image, so as to improve a success rate of processing information. As shown in fig. 2, the method specifically includes the following steps:
s201, synchronously storing the acquired face images to a storage system, receiving the uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images to a task list.
In the embodiment of the present invention, the information processing may specifically include processing a plurality of kinds of information, and as an example, the information processing includes: recording attendance, registering accommodation information, recording passenger information on the plane, and the like.
In the embodiment of the invention, a device with a camera can be used for acquiring the face image. As an example, a user's mobile terminal is provided with a camera, and the mobile terminal is provided with an APP. The user starts APP, and the APP calls the camera of the mobile terminal to collect face images.
In addition, the recording information of the face image is preset in the APP. The recording information of the face image comprises acquisition equipment information, preset mechanism information and acquisition time. As an example, the collecting device information may include a model of the mobile terminal and version information of APP. The preset mechanism information is the information of the department to which the face image belongs. As one example, the preset authority information is the first warehouse.
In one embodiment of the present invention, the precondition for synchronously storing the acquired face image in the storage system is that: and the preset recording condition is met. Namely, the acquired face images can be synchronously stored in the storage system according to the preset recording conditions.
This is done to allow for the option of asynchronously recognizing the face image on a case-by-case basis. Namely, under the condition of meeting the preset recording condition, the face image can be asynchronously recognized, namely, the acquired face image is synchronously stored in the storage system to be asynchronously recognized.
In one embodiment of the present invention, the preset recording condition includes one of: the method comprises the steps of identifying failure of collected face images in real time, presetting a time period, presetting a recording mechanism and presetting face identification.
As an example, in case that the real-time recognition of the acquired face image fails, in order to improve the recognition success rate, the acquired face image may be synchronously stored to the storage system to be asynchronously recognized. In this way, the strong dependence of face image recognition and face recognition techniques is decoupled. Even in the case of failure of real-time identification, there is an opportunity to identify again.
As an example, the preset time period includes a peak period of information processing, and the information processing includes recording attendance, such as: a period of time around the time of work on, or a period of time around the time of work off. In the time period, a large number of face images need to be recognized, and in order to improve the recognition success rate, the collected face images can be synchronously stored in a storage system to be asynchronously recognized.
As an example, for a preset recording mechanism, the number of employees under the preset recording mechanism is large, and a large number of face images need to be recognized, and then for the preset recording mechanism, the acquired face images may be synchronously stored in the storage system to be asynchronously recognized.
As an example, the feature of each face image has its own characteristic, and there is a case where the recognition time is long for a specific face image. For face images with long recognition time, face identification can be preset. Namely, for the face image with the preset face identification, the acquired face image can be synchronously stored in the storage system to be asynchronously identified.
Considering that the time consumption of face recognition is long, the acquired face image is recognized in real time, and the information processing fails due to the fact that the face recognition needs long time. Then, the collected face images can be synchronously stored, and then asynchronously identified, and the identification result is output.
Specifically, the acquired face images are synchronously stored in a storage system, and uniform resource locators (url) of the face images fed back by the storage system are received. In the storage system, the acquired face images can be rapidly stored and inquired.
In one embodiment of the present invention, the face image may be encoded before the acquired face image is synchronously stored in the storage system. On one hand, the face image can be encrypted, and on the other hand, the face image can be compressed conveniently. As one example, Base64 is used to encode face images.
Referring to fig. 3, fig. 3 is a schematic diagram of a system for synchronously storing face images in a storage system according to an embodiment of the present invention, which specifically includes:
s301, storing the collected face image into a file storage server according to the instruction of the tracking server.
In the embodiment of the invention, the acquired face image can be stored in a storage system. As an example, the storage system may be a distributed storage system that stores face images, employing open source FastDFS. The FastDFS is an open-source lightweight distributed file system, is specially customized for the Internet, fully considers mechanisms such as redundancy backup, load balancing and linear expansion, and focuses on indexes such as high availability and high performance. By using the FastDFS, a set of high-performance file server cluster can be easily established to provide services such as file uploading and downloading.
Referring to fig. 4, fig. 4 is an architecture diagram of a storage system according to an embodiment of the present invention, including a client, a tracking server, and a file storage server in fig. 4.
The tracking server is mainly responsible for scheduling the file storage server to communicate with the client, playing a role of load balancing on access, and recording the running state of the file storage server, and is a hub for connecting the client and the file storage server.
And the file storage server is mainly responsible for storing the files and the metadata of the files. The metadata of the file includes file-related attributes such as file name, size, etc.
Multiple file storage servers, referred to as groups, may also be included in the FastDFS. Group is a Group of files, which may also be referred to as a volume. Files on the file storage servers in the same group are completely the same, when a cluster is made, a plurality of file storage servers are usually arranged in one group, and after one file is uploaded to one machine in the same group, the FastDFS can synchronize the file to all other machines in the same group in real time to play a backup role.
The process of storing the acquired face image in the storage system will be briefly described below.
The file storage server can upload the state of the server to the tracking server at regular time, and the state comprises statistical information such as the residual space of a disk, the file synchronization state, the file uploading and downloading times and the like.
In the embodiment of the present invention, the client may be an information processing apparatus. The client inquires the tracking server to which file storage server the collected face image is uploaded. The purpose is as follows: the tracking server indicates a file storage server. The client then communicates directly with the file storage server.
The tracking server queries the available file storage servers and feeds back an indication to the client, the indication including the IP addresses and ports of the file storage servers.
And the client stores the file into the file storage server according to the instruction of the tracking server. And the file storage server writes the uploaded face image into a disk and generates url. The file storage server then sends the url to the client.
S302, receiving a uniform resource locator of the face image sent by the file storage server.
And the client receives the url of the face image sent by the file storage server. The composition of url includes: group name, virtual disk path, data two-level directory and file name.
As an example, url: group 1/M00/00/00/xsasadfasWSSDF880. jpg. Group1 represents a group name, and the name of the file storage server group where the file is uploaded; m00 is the virtual disk path, MOO is the virtual path configured by the file storage server; 00/00, a data two-level directory, a file storage server creates two-level directories under each virtual disk path for storing data files; xsasadfaswssdf880. jpg represents a file name, unlike when a file is uploaded. The file name is generated by the file storage server according to the specific information, and the file name comprises: the method comprises the following steps of obtaining information such as an IP address of a source storage server, a file creation timestamp, a file size, a random number and a file extension name.
In the embodiment of fig. 3, after the storage system is used to store the face image, the returned url is only a very short character, which is convenient for the storage of the relational database. And the url returned after each face image is stored in the storage system is unique. Only the url needs to be saved, and then the corresponding face image can be rapidly inquired.
After receiving the url of the face image, in order to realize asynchronous recognition of the face image, the url of the face image and the record information of the face image may be stored in a task table. The task table is a list of information processing related information.
The face image needing asynchronous recognition can store record information in a task table. Illustratively, the registration information may include url of the face image and registration information of the face image.
S202, inquiring the task table, obtaining the uniform resource locator and the record information of the face image, and obtaining the face image from the storage system based on the uniform resource locator of the face image.
And storing the attendance related information in the task table. The acquired face images can be recombined based on the task table, so that asynchronous face recognition is realized. And inquiring the task table to obtain the url and the record information of the face image, so that the face image can be obtained from the storage system based on the url of the face image.
In the embodiment of the invention, the purpose of the query task table is asynchronous face recognition. Then the query can be triggered based on actual demand. As an example, the query task table may be triggered in case the server responsible for face recognition is idle.
In the embodiment of the invention, the task table can be inquired according to the preset inquiry condition, and the url and the record information of the face image can be acquired. The preset query condition is a condition for triggering query of the task table. And under the condition of meeting the preset query condition, triggering to query the task table.
As an example, the preset query condition may include: the number of url's in the query period or task table is preset. And inquiring the task table according to a preset inquiry period. Such as: the preset query period is 5 minutes, namely, the attendance task is queried every 5 minutes, and asynchronous face recognition is triggered. In addition, under the condition that the number of urls in the task table exceeds a preset threshold, it is indicated that the number of face images needing asynchronous face recognition in the task table is large, and asynchronous face recognition can be triggered.
After the url of the face image is obtained, the face image may be obtained from the storage system based on the face image.
And the file storage server in the storage system feeds back the face image corresponding to the url after receiving the url of the face image.
And S203, recognizing the face image acquired from the storage system, and performing information processing by combining the recognition result and the recorded information.
After the face image is acquired in the storage system, the face image can be identified to obtain an identification result. On the basis of the recognition result, information processing can be performed in conjunction with the recorded information.
Referring to fig. 5, fig. 5 is a schematic diagram of a flow of information processing by combining an identification result and record information according to an embodiment of the present invention, which specifically includes:
s501, recognizing the face image acquired from the storage system for preset times to obtain a recognition result.
The face image is acquired in the storage system, and the acquired face image can be recognized by adopting a face recognition technology. By using the face recognition technology, the identity corresponding to the face image can be obtained if the matching is successful in a preset face image library. As one example, the identity may be an identification number.
In order to further improve the success rate of information processing under the condition that the matching in the preset face image library is not successful, the face recognition technology can be adopted again to recognize the acquired face image.
In the embodiment of the invention, the face image acquired from the storage system can be identified for the preset times, and if the identification is successful, the information processing can be carried out; and if the continuous preset identification fails, the information processing fails. The preset times can be preset according to actual requirements.
And S502, combining the recognition result with the record information to obtain the record of the face image acquired from the storage system.
The recording information comprises acquisition equipment information, preset mechanism information and acquisition time. And under the condition that the recognition result is successful, acquiring the identity of the face image.
And matching in the preset mechanism information based on the identity of the face image, and judging whether the preset mechanism information corresponds to the identity. If the identity mark exists in the mechanism corresponding to the preset mechanism information, the preset mechanism information corresponds to the identity mark; if the identity does not exist in the mechanism corresponding to the preset mechanism information, the preset mechanism information does not correspond to the identity.
And under the condition that the preset mechanism information corresponds to the identity identification, acquiring the record of the face image according to the acquisition time, wherein the face image is acquired from the storage system. As an example, the acquisition time is 20 am, and attendance is recorded according to the acquisition time for the face image acquired from the storage system.
In the technical scheme of the embodiment of the invention, the collected face image is synchronously stored in a storage system, the uniform resource locator of the face image is received, and the uniform resource locator and the record information of the face image are stored in a task table; inquiring a task table, acquiring a uniform resource locator and record information of the face image, and acquiring the face image from a storage system based on the uniform resource locator of the face image; and recognizing the face image acquired from the storage system, and performing information processing by combining the recognition result and the recorded information.
The storage system can be used for storing the collected face images, so that the face images do not need to be recognized in real time. The face image is acquired from the storage system for asynchronous recognition, and information processing failure caused by long time consumption of the face recognition technology is reduced, so that the failure rate of information processing can be reduced, and the stability of face recognition information processing is improved.
Referring to fig. 6, fig. 6 is a schematic diagram of a main structure of an information processing apparatus according to an embodiment of the present invention, where the information processing apparatus may implement an information processing method, and as shown in fig. 6, the information processing apparatus specifically includes:
the storage module 601 is configured to store the acquired face images to a storage system synchronously, receive a uniform resource locator of the face images, and store the uniform resource locator and record information of the face images into a task table;
an obtaining module 602, configured to query a task table, obtain a uniform resource locator and record information of a face image, and obtain the face image from a storage system based on the uniform resource locator of the face image;
and a recording module 603, configured to recognize the face image obtained from the storage system, and perform information processing by combining the recognition result and the recorded information.
In an embodiment of the present invention, the storage module 601 is specifically configured to store the acquired face images to the storage system synchronously according to a preset recording condition.
In one embodiment of the present invention, the preset recording condition includes one of: and identifying the failure of the acquired face image, a preset time period, a preset recording mechanism and a preset face identification in real time.
In an embodiment of the present invention, the storage module 601 is specifically configured to store the acquired face image into a file storage server according to an instruction of a tracking server;
and receiving the uniform resource locator of the face image sent by the file storage server.
In an embodiment of the present invention, the obtaining module 602 is specifically configured to query the task table according to a preset query condition, and obtain the uniform resource locator and the record information of the face image.
In one embodiment of the present invention, the preset query condition includes: the number of uniform resource locators in the query period or task table is preset.
In an embodiment of the present invention, the recording module 603 is specifically configured to perform recognition for a preset number of times on a face image acquired from a storage system, so as to obtain a recognition result;
and combining the recognition result with the record information to obtain the record of the face image acquired from the storage system.
Fig. 7 shows an exemplary system architecture 700 to which the method of information processing or the apparatus of information processing of the embodiments of the present invention can be applied.
As shown in fig. 7, the system architecture 700 may include terminal devices 701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the terminal devices 701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 701, 702, 703 to interact with a server 705 over a network 704, to receive or send messages or the like. The terminal devices 701, 702, 703 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only).
The terminal devices 701, 702, 703 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 705 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 701, 702, 703. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the method for processing information provided by the embodiment of the present invention is generally executed by the server 705, and accordingly, an apparatus for processing information is generally disposed in the server 705.
It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 801.
It should be noted that the computer readable medium shown in the present invention can 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 the present invention, 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 the present invention, 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: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
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 invention. 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 or flowchart illustration, and combinations of blocks in the block diagrams 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 modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a transmitting unit, an obtaining unit, a determining unit, and a first processing unit. The names of these units do not in some cases constitute a limitation to the unit itself, and for example, the sending unit may also be described as a "unit sending a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
synchronously storing the collected face images to a storage system, receiving uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images into a task table;
inquiring the task table, acquiring a uniform resource locator of the face image and the record information, and acquiring the face image from the storage system based on the uniform resource locator of the face image;
and identifying the face image acquired from the storage system, and carrying out information processing by combining an identification result and the recorded information.
According to the technical scheme of the embodiment of the invention, the collected face image is synchronously stored in a storage system, the uniform resource locator of the face image is received, and the uniform resource locator and the record information of the face image are stored in a task table; inquiring a task table, acquiring a uniform resource locator and record information of the face image, and acquiring the face image from a storage system based on the uniform resource locator of the face image; and recognizing the face image acquired from the storage system, and performing information processing by combining the recognition result and the recorded information.
The storage system can be used for storing the collected face images, so that the face images do not need to be recognized in real time. The face image is acquired from the storage system for asynchronous recognition, and long time is consumed for face recognition, so that information processing is not influenced, and the failure rate of information processing can be reduced.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of information processing, comprising:
synchronously storing the collected face images to a storage system, receiving uniform resource locators of the face images, and storing the uniform resource locators and the record information of the face images into a task table;
inquiring the task table, acquiring a uniform resource locator of the face image and the record information, and acquiring the face image from the storage system based on the uniform resource locator of the face image;
and identifying the face image acquired from the storage system, and carrying out information processing by combining an identification result and the recorded information.
2. The information processing method of claim 1, wherein the step of synchronously storing the acquired face image in a storage system comprises:
and synchronously storing the acquired face images to a storage system according to preset recording conditions.
3. The information processing method according to claim 2, wherein the preset recording condition includes one of: and identifying the failure of the acquired face image, a preset time period, a preset recording mechanism and a preset face identification in real time.
4. The information processing method of claim 1, wherein the synchronously storing the acquired face image in a storage system and receiving a uniform resource locator of the face image comprises:
storing the collected face image into a file storage server according to the instruction of a tracking server;
and receiving the uniform resource locator of the face image sent by the file storage server.
5. The information processing method according to claim 1, wherein the querying the task table to obtain the uniform resource locator of the face image and the record information comprises:
and querying the task table according to a preset query condition to obtain the uniform resource locator of the face image and the record information.
6. The information processing method according to claim 5, wherein the preset query condition includes: the number of uniform resource locators in the query period or task table is preset.
7. The information processing method according to claim 1, wherein the recognizing the face image acquired from the storage system and performing information processing by combining the recognition result and the record information includes:
recognizing the face image acquired from the storage system for preset times to obtain a recognition result;
and combining the recognition result with the recording information to obtain the record of the face image acquired from the storage system.
8. An information processing apparatus, comprising:
the storage module is used for synchronously storing the acquired face images to a storage system, receiving the uniform resource locators of the face images and storing the uniform resource locators and the record information of the face images into a task table;
the acquisition module is used for inquiring the task table, acquiring the uniform resource locator and the record information of the face image, and acquiring the face image from the storage system based on the uniform resource locator of the face image;
and the recording module is used for identifying the face image acquired from the storage system and carrying out information processing by combining an identification result and the recording information.
9. An information processing electronic device characterized by 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 1-7.
10. 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 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010202302.2A CN113496155B (en) | 2020-03-20 | 2020-03-20 | Method, apparatus, device and computer readable medium for information processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010202302.2A CN113496155B (en) | 2020-03-20 | 2020-03-20 | Method, apparatus, device and computer readable medium for information processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113496155A true CN113496155A (en) | 2021-10-12 |
| CN113496155B CN113496155B (en) | 2023-09-29 |
Family
ID=77993662
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010202302.2A Active CN113496155B (en) | 2020-03-20 | 2020-03-20 | Method, apparatus, device and computer readable medium for information processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113496155B (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001325631A (en) * | 2000-05-15 | 2001-11-22 | Diplo Data Service Kk | Method, system and device for managing attendance information and recording medium |
| US20080040502A1 (en) * | 2006-07-11 | 2008-02-14 | Holsberry Richard T | Automated tracking of class attendance |
| CN104036557A (en) * | 2013-03-06 | 2014-09-10 | 中国科学技术大学苏州研究院 | B/S architecture based distributed face recognition attendance system and attendance checking method thereof |
| CN105069024A (en) * | 2015-07-16 | 2015-11-18 | 清华大学 | Parallel data acquisition-oriented write access method for distributed file system |
| CN106845368A (en) * | 2016-12-30 | 2017-06-13 | 中国民航信息网络股份有限公司 | Airport boarding safety check based on recognition of face confirms system and method again |
| CN207074442U (en) * | 2017-08-30 | 2018-03-06 | 山西华兴科软有限公司 | Examination hall face identification system |
| CN109377577A (en) * | 2018-09-17 | 2019-02-22 | 广州杰赛科技股份有限公司 | A kind of Work attendance method based on recognition of face, system and storage device |
| CN109416845A (en) * | 2017-11-27 | 2019-03-01 | 齐心商用设备(深圳)有限公司 | The Work attendance method of attendance recorder, attendance recorder |
| CN208969737U (en) * | 2018-09-12 | 2019-06-11 | 新疆爱华盈通信息技术有限公司 | Attendance recorder on and off duty based on plurality of human faces identification |
| CN109887114A (en) * | 2018-12-27 | 2019-06-14 | 北京智慧云行科技有限责任公司 | Face batch identification attendance system and method |
| CN109961594A (en) * | 2017-12-26 | 2019-07-02 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus and system |
| WO2019127273A1 (en) * | 2017-12-28 | 2019-07-04 | 深圳市锐明技术股份有限公司 | Multi-person face detection method, apparatus, server, system, and storage medium |
| CN110069445A (en) * | 2019-03-12 | 2019-07-30 | 深圳壹账通智能科技有限公司 | Face image processing process, server and computer readable storage medium |
-
2020
- 2020-03-20 CN CN202010202302.2A patent/CN113496155B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001325631A (en) * | 2000-05-15 | 2001-11-22 | Diplo Data Service Kk | Method, system and device for managing attendance information and recording medium |
| US20080040502A1 (en) * | 2006-07-11 | 2008-02-14 | Holsberry Richard T | Automated tracking of class attendance |
| CN104036557A (en) * | 2013-03-06 | 2014-09-10 | 中国科学技术大学苏州研究院 | B/S architecture based distributed face recognition attendance system and attendance checking method thereof |
| CN105069024A (en) * | 2015-07-16 | 2015-11-18 | 清华大学 | Parallel data acquisition-oriented write access method for distributed file system |
| CN106845368A (en) * | 2016-12-30 | 2017-06-13 | 中国民航信息网络股份有限公司 | Airport boarding safety check based on recognition of face confirms system and method again |
| CN207074442U (en) * | 2017-08-30 | 2018-03-06 | 山西华兴科软有限公司 | Examination hall face identification system |
| CN109416845A (en) * | 2017-11-27 | 2019-03-01 | 齐心商用设备(深圳)有限公司 | The Work attendance method of attendance recorder, attendance recorder |
| CN109961594A (en) * | 2017-12-26 | 2019-07-02 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus and system |
| WO2019127273A1 (en) * | 2017-12-28 | 2019-07-04 | 深圳市锐明技术股份有限公司 | Multi-person face detection method, apparatus, server, system, and storage medium |
| CN208969737U (en) * | 2018-09-12 | 2019-06-11 | 新疆爱华盈通信息技术有限公司 | Attendance recorder on and off duty based on plurality of human faces identification |
| CN109377577A (en) * | 2018-09-17 | 2019-02-22 | 广州杰赛科技股份有限公司 | A kind of Work attendance method based on recognition of face, system and storage device |
| CN109887114A (en) * | 2018-12-27 | 2019-06-14 | 北京智慧云行科技有限责任公司 | Face batch identification attendance system and method |
| CN110069445A (en) * | 2019-03-12 | 2019-07-30 | 深圳壹账通智能科技有限公司 | Face image processing process, server and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113496155B (en) | 2023-09-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106980699B (en) | Data processing platform and system | |
| CN111460129B (en) | Method, device, electronic equipment and storage medium for generating identification | |
| US10958744B2 (en) | Identifying and managing redundant digital content transfers | |
| CN110297995B (en) | Method and device for collecting information | |
| CN113485962B (en) | Log file storage method, device, equipment and storage medium | |
| CN109871354B (en) | File processing method and device | |
| CN107844488B (en) | Data query method and device | |
| CN112835904A (en) | Data processing method and data processing device | |
| CN111367870A (en) | Method, device and system for sharing picture book | |
| EP3042316B1 (en) | Music identification | |
| CN114398520A (en) | Data retrieval method, system, device, electronic equipment and storage medium | |
| CN113641706A (en) | Data query method and device | |
| CN113496155B (en) | Method, apparatus, device and computer readable medium for information processing | |
| CN112783842B (en) | Log collection method and device | |
| CN111190858B (en) | Method, device, equipment and storage medium for storing software information | |
| JP2007200271A (en) | Retrieval method and system for retrieving multimedia content in content network | |
| CN112241332B (en) | Interface compensation method and device | |
| CN109325057B (en) | Middleware management method, device, computer equipment and storage medium | |
| CN110888847A (en) | Recycle bin system and file recycling method | |
| CN112799863A (en) | Method and apparatus for outputting information | |
| CN112711572A (en) | Online capacity expansion method and device suitable for sub-warehouse and sub-meter | |
| CN111124365A (en) | RPA demand collection method and device | |
| US11842077B2 (en) | Method, device, and computer program product for transmitting data for object storage | |
| CN117478535B (en) | Log storage method and device | |
| CN117082047A (en) | Data processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |