CN112562106A - Data acquisition and processing system for computer software development - Google Patents
Data acquisition and processing system for computer software development Download PDFInfo
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- CN112562106A CN112562106A CN202011280018.3A CN202011280018A CN112562106A CN 112562106 A CN112562106 A CN 112562106A CN 202011280018 A CN202011280018 A CN 202011280018A CN 112562106 A CN112562106 A CN 112562106A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- 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
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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Abstract
The invention relates to the technical field of computers, and discloses a data acquisition and processing system for computer software development, which comprises a face recognition camera, wherein the output end of the face recognition camera is electrically connected with the input end of an image acquisition module, the output end of the image acquisition module is electrically connected with the input end of an image extraction module, the image acquisition module is matched with the image extraction module, an image preprocessing unit is used for carrying out light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering and sharpening on a face image, a comparison unit is used for comparing a recognition result with image data in a database to obtain a probability value, a retrieval unit is used for determining the class confidence coefficient of the face image obtained by the recognition unit and comparing face pre-stored data in the database, so that staff information is recognized through local images of the face when the face is recognized by the face recognition camera, therefore, when a person wears the mask or some shelters, the person can also recognize the mask or the shelters.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a data acquisition and processing system for computer software development.
Background
The data acquisition and processing system is generally composed of acquisition hardware and acquisition software. Along with the appearance and development of microcomputers in the later period of the last 70 th century, data acquisition and processing devices integrated with an acquisition device and a control computer gradually appear, and data acquisition system processing systems are widely applied to the aspects of industry, medical treatment, communication, education and the like, provide a good foundation for acquiring different information and provide a prerequisite for various control occasions.
The birth of a computer enables the efficiency of data acquisition to be higher, and in this information era, data is also important information, centralized acquisition and analysis of data can be used in many places, for example, a common pharmaceutical factory building or some operation workshops, when personnel enter a factory or an operation workshop, due to large flow of people, traditional card swiping, finger print swiping and face swiping are adopted, although identity authentication is realized through facial recognition, the application scene that the object is required to keep a specific posture at a specific position cannot directly control attendance checking of monitoring workers and operation dressing, so that a data acquisition processing system for computer software development is provided, the time of monitoring the personnel entering and leaving the factory and the work dressing can be monitored through a face recognition camera, and timely feedback can be realized.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a data acquisition and processing system for computer software development, which has the advantages of timely recording staff attendance time and worker clothing monitoring feedback, and solves the problems that worker clothing cannot be fed back in time and a large number of staff cannot simultaneously monitor attendance confirmation when entering and exiting.
(II) technical scheme
In order to realize the purposes of fast transmission, high information processing efficiency and error reduction, the invention provides the following technical scheme: a data acquisition and processing system for computer software development comprises a face recognition camera, wherein the output end of the face recognition camera is electrically connected with the input end of an image acquisition module, the output end of the image acquisition module is electrically connected with the input end of an image extraction module, the output end of the image extraction module is electrically connected with the input end of a central processing module, the output end of the central processing module is electrically connected with the input end of a database, the output end of the database is electrically connected with the input end of the central processing module, the output end of the central processing module is electrically connected with the input end of a display module, the output end of the display module is electrically connected with the input end of the central processing module, the output end of the display module is connected with the input end point of an operation module, the output end of the operation module is electrically connected with the input end of a remote information module, and, and the output end of the central processing is electrically connected with the input end of the operation module.
Preferably, the image extraction module comprises an identification unit and an image preprocessing unit, the identification unit is used for carrying out face image identification on the face image after the face image preprocessing, and the image preprocessing unit is used for carrying out light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering and sharpening on the face image.
Preferably, the central processing unit includes a weighting unit with weighting coefficients and a comparison unit, the weighting unit verifies the filing information of the predetermined area with a static database with an identity archive to hit the identification object to be queried, the comparison unit compares the identification result with the image data in the database to obtain a probability value, and the retrieval unit is used for determining the confidence coefficient of the face image category obtained by the identification unit.
Preferably, the database comprises a data storage unit and a data compression calling unit, the data storage unit is used for carrying out encryption single-pair single-data protection storage on data, and the data compression calling unit stores the pre-acquired face recognition image in a compression mode, so that the information storage capacity of the database is improved.
Preferably, the operation module comprises a signal transmitting unit and a data feedback unit, the signal transmitting unit transmits the retrieved result information to the user mobile intelligent terminal or the user wearing equipment, and the data feedback unit compresses the processing information and feeds the processing information back to the central processing unit.
(III) advantageous effects
Compared with the prior art, the invention provides a data acquisition and processing system for computer software development, which has the following beneficial effects:
1. the image acquisition module is matched with the image extraction module, the light compensation, the gray level transformation, the histogram equalization, the normalization, the geometric correction, the filtering and the sharpening of the face image of the image preprocessing unit can be realized, the accuracy of face identification can be improved, the matching comparison unit is used for comparing the identification result with the image data in the database to obtain the probability value, the retrieval unit is used for determining the confidence coefficient of the face image category obtained by the identification unit and comparing the pre-stored data of the face in the database, when the face can be identified through the face identification camera, the staff information can be identified through the local image of the face, therefore, when a person wears a mask or some shielding objects, the staff can be identified, the effect of checking the work attendance without specific actions is achieved, and the problem that a large number of staff enter a work area at the same time and the work.
2. The central processing module is matched with the operation module for use, the image sent by the image extraction module can be processed in time, the pre-stored information of the face image in the database can be compared to finish the employee information confirmation, meanwhile, the employee service is incorrect, and the employee service cannot enter the service of some precise operation work sites, the information such as the violation information and the incorrect service can be fed back to the remote information module through the operation module, the violation information and the incorrect service can be sent to the mobile equipment wearing incorrect employees in time to serve as a prompt, the effect of correcting the employee errors in time is achieved, the violation information is fed back to the central processing module and is transferred to the database for compression and storage, and the final settlement of the information is further achieved.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a data collecting and processing system for computer software development comprises a face recognition camera, an output terminal of the face recognition camera is electrically connected with an input terminal of an image collecting module, an output terminal of the image collecting module is electrically connected with an input terminal of an image extracting module, the image extracting module comprises a recognition unit and an image preprocessing unit, the recognition unit is used for carrying out face image recognition on a face image after face image preprocessing, the image preprocessing unit is used for light compensation, gray scale transformation, histogram equalization, normalization, geometric correction, filtering and sharpening of the face image, the output terminal of the image extracting module is electrically connected with an input terminal of a central processing, the central processing comprises a weighting unit and a comparison unit of weighting coefficients, the weighting unit checks archival information of a predetermined area with a static database with an identity file to hit a recognition object to be inquired, the comparison unit compares the recognition result with the image data in the database to obtain a probability value, the retrieval unit is used for determining the confidence coefficient of the face image category obtained by the recognition unit, the output end of the central processing unit is electrically connected with the input end of the database, the database comprises a data storage unit and a data compression calling unit, the data storage unit is used for encrypting the data and protecting and storing the data in a single pair, the data compression calling unit stores the pre-collected face recognition image in a compression form and improves the information quantity stored in the database, the output end of the database is electrically connected with the input end of the central processing unit, the output end of the central processing unit is electrically connected with the input end of the display module, the output end of the display module is electrically connected with the input end of the central processing unit, the output end of the display module is connected with the input end point of the operation, the signal emission unit sends the retrieved result information to the user mobile intelligent terminal or the user wearing equipment, the data feedback unit compresses and feeds back the processing information to the central processing unit, the output end of the operation module is electrically connected with the input end of the remote information module, the output end of the operation module is electrically connected with the input end of the central processing unit, and the output end of the central processing unit is electrically connected with the input end of the operation module.
In summary, the image acquisition module is matched with the image extraction module, the light compensation, the gray level transformation, the histogram equalization, the normalization, the geometric correction, the filtering and the sharpening of the face image of the image preprocessing unit can improve the accuracy of face recognition, the matching comparison unit is used for comparing the recognition result with the image data in the database to obtain the probability value, the retrieval unit is used for determining the confidence coefficient of the face image category obtained by the recognition unit and comparing the face pre-stored data in the database, so that when the face can be recognized by the face recognition camera, the staff information can be recognized by the local image of the face, therefore, when a person wears a mask or some shielding objects, the staff can be recognized, the effect of checking the work attendance without specific actions can be completed, the problem that a large number of staff enter a working area at the same time is inaccurate is effectively reduced, and the central processing and the operation module are matched for, the image sent by the image extraction module can be processed in time, the image can be compared through the pre-stored information of the face image in the database to finish the employee information confirmation, meanwhile, the employee service is incorrect, and the employee service cannot enter the service of some precise operation workplaces, the violation information and the information such as the incorrect service can be fed back to the remote information module through the operation module, and the violation information and the information such as the incorrect service can be sent to the mobile equipment wearing the incorrect employee in time to serve as a prompt, so that the effect of timely correcting the employee error is achieved, and the violation information is fed back to the central processing and is transferred to the database to be compressed and stored for final settlement of the information.
Taking a pharmaceutical factory as an example, because the workload is large every day, and the sanitation of the worker clothes of staff or the wearing of the worker clothes are strictly controlled, if the staff enters every day, the staff needs to carry out attendance card punching in a fixed posture, the attendance efficiency is very low, and the staff of the pharmaceutical factory needs to wear a mask, the data acquisition and processing system for developing computer software is used, the human face image of the staff needs to be acquired in advance and then compressed and stored in a database, when the staff enters an attendance area after wearing the worker clothes, the human face identification camera carries out the human face identification of the staff entering the factory, the human face part is extracted through the image acquisition module and fed back to the image extraction module, the image extraction module carries out light compensation, gray level conversion, histogram equalization, normalization, geometric correction, filtering and sharpening on the human face image, and the human face characteristic is extracted to be fed back to the central processing, the central processing calls the face recognition information in the database to be compared to obtain a probability value, the retrieval unit is used for judging the confidence coefficient of the face image category, the accuracy of face recognition is improved, the information is fed back to the display module to inform staff information after being confirmed, if the staff is late or the clothing of the staff is in trouble, the operation module is used for selecting and sending the information to mobile equipment of the staff to inform the staff, the operation information is fed back to the central processing and is compressed and stored in the database, and data recording when the funding is finished at the bottom of the month is facilitated.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A data acquisition processing system for computer software development, includes face identification camera, its characterized in that: the output end of the face recognition camera is electrically connected with the input end of the image acquisition module, the output end of the image acquisition module is electrically connected with the input end of the image extraction module, the output end of the image extraction module is electrically connected with the input end of the central processing, the output end of the central processing is electrically connected with the input end of the database, the output end of the database is electrically connected with the input end of the central processing, the output end of the central processing is electrically connected with the input end of the display module, the output end of the display module is electrically connected with the input end of the central processing unit, the output end of the display module is connected with the input end point of the operation module, the output end of the operation module is electrically connected with the input end of the remote information module, the output end of the operation module is electrically connected with the input end of the central processing, and the output end of the central processing is electrically connected with the input end of the operation module.
2. A data acquisition and processing system for computer software development, according to claim 1, wherein: the image extraction module comprises an identification unit and an image preprocessing unit.
3. A data acquisition and processing system for computer software development, according to claim 1, wherein: the central processing unit comprises a weighting unit of weighting coefficients, a comparison unit and a retrieval unit.
4. A data acquisition and processing system for computer software development, according to claim 1, wherein: the database comprises a data storage unit and a data compression and retrieval unit.
5. A data acquisition and processing system for computer software development, according to claim 1, wherein: the operation module comprises a signal transmitting unit and a data feedback unit.
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| CN202011280018.3A CN112562106A (en) | 2020-11-16 | 2020-11-16 | Data acquisition and processing system for computer software development |
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| CN202011280018.3A CN112562106A (en) | 2020-11-16 | 2020-11-16 | Data acquisition and processing system for computer software development |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115797798A (en) * | 2023-02-10 | 2023-03-14 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Ecological restoration effect evaluation method based on abandoned mine remote sensing image |
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| CN109461220A (en) * | 2018-10-22 | 2019-03-12 | 杭州闪宝科技有限公司 | Method, apparatus of registering and system |
| CN109684930A (en) * | 2018-11-23 | 2019-04-26 | 深圳市沃特沃德股份有限公司 | Meeting signature method, apparatus and equipment of registering |
| CN111027937A (en) * | 2019-12-10 | 2020-04-17 | 浩云科技股份有限公司 | Attendance system |
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2020
- 2020-11-16 CN CN202011280018.3A patent/CN112562106A/en active Pending
Patent Citations (5)
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| CN103902958A (en) * | 2012-12-28 | 2014-07-02 | 重庆凯泽科技有限公司 | Method for face recognition |
| CN104966327A (en) * | 2015-06-15 | 2015-10-07 | 北京智联新科信息技术有限公司 | System and method for monitoring health and registering attendance on basis of internet of things |
| CN109461220A (en) * | 2018-10-22 | 2019-03-12 | 杭州闪宝科技有限公司 | Method, apparatus of registering and system |
| CN109684930A (en) * | 2018-11-23 | 2019-04-26 | 深圳市沃特沃德股份有限公司 | Meeting signature method, apparatus and equipment of registering |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115797798A (en) * | 2023-02-10 | 2023-03-14 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Ecological restoration effect evaluation method based on abandoned mine remote sensing image |
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Application publication date: 20210326 |