CN111696221A - Online face recognition intelligent wireless patrol system and method - Google Patents
Online face recognition intelligent wireless patrol system and method Download PDFInfo
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- CN111696221A CN111696221A CN202010488087.7A CN202010488087A CN111696221A CN 111696221 A CN111696221 A CN 111696221A CN 202010488087 A CN202010488087 A CN 202010488087A CN 111696221 A CN111696221 A CN 111696221A
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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
- 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
- G07C1/20—Checking timed patrols, e.g. of watchman
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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
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Abstract
The invention relates to an online face recognition intelligent wireless patrol system and method. The system comprises: the system comprises a face recognition card reader, a face recognition card punching terminal, an image library server, a mechanism server and an alarm module; the face recognition card reader collects all patrol personnel information; the image library server receives all patrol personnel information; the face recognition card punching terminal collects current patrol staff information and sends the current patrol staff information to the mechanism server, the mechanism server carries out intelligent scheduling management and patrol time setting on all patrol staff, the current patrol staff information is judged according to the intelligent scheduling management information, the patrol time setting information and all patrol staff information, card punching information is obtained and sent to the face recognition card punching terminal to be displayed, and the alarm module is controlled to give an alarm when the card punching information is card punching failure information. The invention can overcome the defects of an online patrol system and an offline patrol system.
Description
Technical Field
The invention relates to the field of wireless patrol, in particular to an online face recognition intelligent wireless patrol system and method.
Background
The wireless patrol system in the current market is divided into two types, one is online and the other is offline, and the wireless patrol system is composed of a patrol stick, a patrol point, management software and a management server.
The online patrol system patrol points are networked through a wired network or a WIFI network and are in butt joint with a management server to exchange data, each patrol person distributes one patrol stick, when the patrol person reaches the patrol points, the patrol bars are used for touching the patrol points, the patrol points generate card punching information, and the card punching information is uploaded to the management server, so that patrol card punching records are generated.
The off-line patrol system patrol points cannot be networked, each patrol person distributes one patrol stick, the patrol sticks are used for touching the patrol points when the patrol persons reach the patrol points, the patrol points generate card punching information and automatically store the card punching information into a memory card of the patrol points, and managers need to regularly use a U disk to copy the card punching information to each patrol point and upload the card punching information to a server to generate patrol card punching records.
Two techniques suffer from the problem of heterogeneity:
1. the online installation inspection points are limited, and can only be distributed in places where a wired network or a WIFI network can be distributed, the inspection points cannot be flexibly distributed, the dead zones of security inspection points are increased, and the inspection points are not suitable to be distributed and controlled.
2. The inspection point can be arranged and controlled randomly in an off-line mode, timeliness is poor, whether the information of the inspection point is reached by an inspector at the first time or not can not be acquired at the first time, relevant information can be acquired only by periodically leading out a card punching record and uploading the card punching record to a server, and problems can not be found in time after the problems occur easily.
There are common problems with both technologies:
1. the special factory base cannot confirm the identity of the practitioner.
2. The problem of the patrol personnel can not be confirmed.
3. The patrol time of the patrol personnel cannot be known at the first time.
4. The schedule system of the patrolmen is disordered, and workers in night shifts can not check the cards on the patrolman spot of the shift.
5. Whether the patrol point normally works or not can not be known at the first time, and the fault problem can be found only by summarizing the card punching information.
6. Whether the patrol personnel successfully punch the card or not can not be correctly prompted, and if the patrol stick has problems, the problem that the card cannot be punched or the data cannot be completely returned is easily caused.
Disclosure of Invention
Aiming at the problems, the invention provides an online face recognition intelligent wireless patrol system and method.
In order to achieve the purpose, the invention provides the following scheme:
an online face recognition intelligent wireless night patrol system, comprising: the system comprises a face recognition card reader, a face recognition card punching terminal, an image library server, a mechanism server and an alarm module;
the face recognition card reader is used for collecting all patrol personnel information; the image library server is respectively connected with the face recognition card reader and is used for receiving all the patrol personnel information; face identification terminal of checking card is used for gathering current inspection personnel information and will current inspection personnel information send to mechanism server, mechanism server respectively with face identification terminal of checking card image library server with alarm module connects, mechanism server is used for carrying out intelligent shift management and inspection time setting to all inspection personnel, according to intelligent shift management information, inspection time setting information and all inspection personnel information are right current inspection personnel information judges, obtains the information of checking card, and will the information of checking card send to face identification terminal of checking card shows, controls when the information of checking card is for the failure information of checking card alarm module sends the warning.
Optionally, the inspector information includes inspector identity information and inspector image information.
Optionally, the system further comprises a sensor, the sensor is respectively connected with the face recognition card punching terminal and the mechanism server, and the sensor is used for transmitting the intelligent scheduling management information and the patrol time setting information which are made by the mechanism server to the face recognition card punching terminal.
Optionally, the sensor adopts an integrated 4G communication module.
Optionally, the alarm module is configured to notify a manager and an on-duty patrol officer in a short message manner when the card punching information is the card punching failure information, and notify the monitoring center of condition verification through a voice report.
An online face recognition intelligent wireless night patrol method comprises the following steps:
collecting all patrol personnel information;
according to the information of each patrol worker, determining intelligent shift scheduling management information of each patrol worker and setting information of each patrol time;
collecting current patrol staff information;
judging whether the current patrol personnel information should be checked at the current moment according to each intelligent scheduling management information and each patrol time setting information;
if so, outputting the information of successful card punching;
if not, outputting the card punching failure information and giving an alarm.
Optionally, the inspector information includes inspector identity information and inspector image information.
Optionally, the outputting the card punching failure information and sending an alarm specifically includes:
and outputting the card punching failure information, informing a manager and a patrolman on duty in a short message manner, and informing a monitoring center to verify the condition through a voice report.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides an online face recognition intelligent wireless patrol system and method, which adopt a face recognition technology to ensure that no substitute card punching and the phenomena of incomplete and untimely patrol occur. And the face recognition card reader is adopted to confirm the information of the practitioner and confirm the background so as to ensure the safety of special industries. The scheduling difficulty and the temporary scheduling difficulty of personnel are solved by adopting the mechanism server to intelligently schedule. When the system pre-judges a problem in advance, the alarm module is adopted to inform relevant personnel of carrying out relevant problem treatment, so that the smooth operation of patrol work can be ensured. In addition, the invention can realize the remote card punching management.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a block diagram of an online face recognition intelligent wireless night patrol system according to the present invention;
FIG. 2 is a flow chart of the comparison between the information input of the practitioner and the information of the public security network according to the present invention;
FIG. 3 is a flow chart of the patrol officer card punch work of the present invention;
FIG. 4 is a flow chart of a mechanism server for retrieving sensor network management in accordance with the present invention;
FIG. 5 is a flow chart of the alarm module operation of the present invention;
fig. 6 is a flow chart of the online face recognition intelligent wireless night patrol method of the 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.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a structural diagram of the online face recognition intelligent wireless patrol system. As shown in fig. 1, an online face recognition intelligent wireless patrol system includes: the system comprises a face recognition card reader 1, a face recognition card punching terminal 2, an image library server 3, a mechanism server 4 and an alarm module 5.
The face recognition card reader 1 is used for collecting all patrol personnel information; the image library server 3 is respectively connected with the face recognition card reader 1, and the image library server 3 is used for receiving all patrol personnel information; face identification terminal of checking card 2 is used for gathering current inspection personnel information and will current inspection personnel information send to mechanism server 4, mechanism server 4 respectively with face identification terminal of checking card 2 image library server 3 with alarm module 5 connects, mechanism server 4 is used for carrying out intelligent shift management and inspection time setting to all inspection personnel, according to intelligent shift management information, inspection time setting information and all inspection personnel information are right current inspection personnel information is judged, obtains the information of checking card, and will the information of checking card send to face identification terminal of checking card 2 shows, controls when the information of checking card for the failure information of checking card alarm module 5 sends out the warning. The patrol personnel information comprises patrol personnel identity information and patrol personnel image information.
The online face recognition intelligent wireless patrol system further comprises a sensor 6, wherein the sensor 6 is respectively connected with the face recognition card punching terminal 2 and the mechanism server 4, and the sensor 6 is used for transmitting intelligent shift management information and patrol time setting information which are formulated by the mechanism server 4 to the face recognition card punching terminal 2. The sensor 6 adopts an integrated 4G communication module. The integrated 4G communication module can be connected with the mechanism server 4 through the mobile phone card, so that the problems of remote inspection or network interconnection in special geographic areas are solved. The mechanism server 4 sets a sensing and correcting mechanism once per hour, the sensor 6 automatically synchronizes the mechanism configuration after being accessed into the mechanism server 4 for the first time, when the correction time is up, the sensor 6 automatically initiates a connection request, if the mechanism server 4 receives the request, and actively connects with the sensor 6 to transmit data, if the request for correcting data is not received, the mechanism server 4 regards the node as a fault offline, generates an alarm log, and prompts a manager to perform troubleshooting processing.
The face recognition card punching terminal 2 collects image characteristics through a terminal camera, meanwhile, a biological recognition sensor collects biological characteristics, when a patrol man aims at the terminal camera through using a picture, if the biological recognition sensor does not collect the face biological characteristics, cheating card punching is automatically identified, and card punching is prompted again through voice broadcasting; when the video is used by the patrolman to align the terminal camera, if the biological recognition sensor does not collect the biological characteristics of the human face, the cheating card punching is automatically identified, and the card punching is prompted again through voice broadcasting; when the face of the patrolman aims at the terminal camera, the biological recognition sensor collects the biological characteristics of the face, the face recognition card punching terminal 2 transmits the collected information to the mechanism server 4 through the sensor 6 to carry out information comparison, and returns the card punching result, and the patrolman is informed of the card punching result through the voice broadcast of the alarm module 5.
The mechanism server 4 integrates an intelligent scheduling management module, a card punching mechanism management module, a network management module and a schedule generation module. The intelligent scheduling management module can directly input daily scheduling and duration in a management window, the background converts the number of people in the image library and the number of days in the month into a scheduling list, and the scheduling list is generated corresponding to the names of relevant on-duty personnel. The card punching mechanism management module can be used for proposing scheduling information, obtaining the information of staff on duty, synchronizing the card punching time to the face recognition card punching terminal 2 according to the set patrol interval of each patrol point, opening a card punching channel 10 minutes before and after the set card punching time (so as to save network flow), and automatically considering that no patrol is performed if the set time is exceeded and generating a duty list without card punching. The network management module mainly generates an hourly and sensor correction mechanism, and in the correction time, when certain inspection point data is not received, the inspection point data is regarded as an off-line, and network management alarm data is generated to inform a manager to carry out fault investigation. The shift table generation module automatically generates the shift table content for the patrol content of each patrol point of the patrol personnel.
And the alarm module 5 is used for notifying a manager and an on-duty patrol worker in a short message mode when the card punching information is the card punching failure information, and informing a monitoring center of condition verification through a voice report.
The specific working process of the online face recognition intelligent wireless patrol system is as follows:
step 1: the face recognition card reader 1 performs image preprocessing, layout processing, image segmentation and feature extraction on the identity card of the practitioner through an OCR technology to obtain OCR data A and inputs the OCR data A into an image database. The OCR data a includes: name, gender, identification card number, year and month of birth, address and identification card image. After the data A is obtained, the on-site photos of the workers are continuously extracted through an OCR technology, data B is generated, the facial image characteristics of the data A and the facial image characteristics of the data B are compared through a characteristic library, data C (A + B is equal to C, the data C comprises name, gender, identity card number, birth year and month, address, identity card head portrait and the on-site head portrait of the workers) is automatically generated after the comparison is successful, and if the comparison is unsuccessful, assignment A-1 is directly output to compare the identities. And after the on-site data comparison is successful, searching matched identity information through the public security network through the identity card number, directly storing the data C into the image library server 3 if the comparison is successful, and directly outputting the assignment C-1 if the comparison is unsuccessful, wherein the identity comparison is wrong. Fig. 2 is a flow chart of comparing information input of the practitioner with information of the public security network according to the present invention. The system can be connected to a public security network in a networking mode, and when identity information of employees is automatically recorded, the identity information can be synchronously compared with the public security network image library information to perform secondary identity check on related employees, so that the identity information of hazardous chemical substance workshops and professional workers in a special-level factory library can be guaranteed to be complete and searchable.
Step 2: when a practitioner is officially on duty, a fixed patrol time (data T) and a patrol inspector need to be set according to a field patrol mechanism, and data D is generated (data D is data T + data C); in order to guarantee the validity of the time for punching the card, a control list A is set through data T (A is the current time T1-data T), when the control list A is more than or equal to-10 and A is less than or equal to 10, the face recognition card punching terminal 2 automatically starts the card punching function, and otherwise, the card punching function is closed. In the time of card punching, the patrolman arrives at the point 2 of the face recognition card punching terminal, the face recognition card punching terminal 2 picks up the image information of the field personnel through the camera of the face recognition card punching terminal 2, and in the process of picking up the image, the image acquisition is carried out by judging whether the picture and the video are passed through by a silent living body detection technology; and after the silent living body detection passes, automatically generating data B from the picked image information, uploading the data B to the mechanism server 4, calling the content of image data C in the image server 3 through the mechanism server 4 for comparison, if the comparison is successful, generating card punching data M (M is data C + current time T1), outputting the card punching success to the face recognition card punching terminal 2 by the mechanism server 4, and inputting the result into the mechanism server 4. Otherwise, the mechanism server 4 generates the card punching data M1(M1 is data C + current time T1+ reason U of unsuccessful card punching), outputs unsuccessful card punching to the face recognition card punching terminal 2, and stores the result into the mechanism server 4. Fig. 3 is a work flow chart of the patrol personnel card punching work of the invention.
And step 3: in order to save network flow of the card punching terminal and guarantee data safety, the card punching terminal is started for punching the card through the system list A, and the time is set to be 10 minutes before and after each time of punching the card. In order to ensure that the sensor 6 searches that the working state of the face recognition card punching terminal 2 is normal, a system list B is set, and when A is-60. The sensor 6 will automatically start to retrieve the working state of the face recognition card punching terminal 2.
The sensor 6 in the set system list B actively sends request data Q to the mechanism server 4, and after receiving the data Q, the mechanism server 4 confirms that the sensor 6 works normally and stores the data Q into a network management log of the mechanism server 4; if the information of the sensor 6 is not received in the time of the system list B, the server actively sends request data Q to the sensor 6, if the sensor 6 does not reply the data Q to the server, the server takes the default sensor 6 offline to fail, generates failure data Q1, stores the data Q1 in a network management log of the mechanism server 4, and simultaneously outputs failure alarm information to inform relevant personnel of processing.
When the sensor 6 is normally connected with the mechanism server 4, the sensor 6 searches for the far-going state of the card-searching terminal, if the terminal is abnormal, the sensor 6 sends a related alarm code to the mechanism server 4 to generate alarm information and informs related personnel to perform fault processing, and if all the terminals are normal, normal card punching work is performed. When the working state of the sensor 6 is retrieved normally, the sensor 6 retrieves the working state of the face recognition card punching terminal 2, generates data Q2, uploads the data to the mechanism server 4, and generates network management log information; the data Q2 includes: data S1 (power source), data S2 (system), data S3 (camera), and data S4 (tact switch); when S1 is equal to 0 (the power supply operating state is normal), data S2 is equal to 0 (the system operating state is normal), data S3 is equal to 0 (the camera operating state is normal), and S4 is equal to 0 (the tact switch operating state is normal). When S1 is equal to 1 power supply operation fault), data S2 is equal to 1 (system operation fault), data S3 is equal to 1 (camera operation fault), and S4 is equal to 1 (touch switch operation fault); when the mechanism server 4 receives the data Q2 and the data content of Q2 is all 0, the mechanism server 4 enables the working state of the default face recognition card punching terminal 2 to be normal, and stores the data Q2 in the mechanism server 4 and outputs the data Q2 to a network management log; if the data content of the Q2 is not all 0, the mechanism server 4 generates data Q3 after receiving the Q2 data, stores the data Q3 in a network management log of the mechanism server 4, and simultaneously outputs fault alarm information to inform relevant personnel to process. Fig. 4 is a flow chart of the network management for retrieving the sensor by the mechanism server according to the present invention.
And 4, step 4: when the patrol officer fails to punch the card, the mechanism server 4 generates alarm information according to the M1 data, the alarm data is transmitted to the alarm module 5 through the network, the alarm module 5 broadcasts voice and short messages to the monitoring center to prompt manual check, and the checker generates data M2 according to the check content (M2 is data C + current time T1+ reason U + real reason of unsuccessful punching the card) and submits the data M2 to the mechanism server 4 to manually eliminate the alarm. When the patrol officer is in early return, late arrival or no-card-punching condition during card punching, the mechanism server 4 directly sends alarm data to the card punching terminal and the alarm module 5, and the face recognition card punching terminal 2 receives the feedback information and informs the patrol officer of unsuccessful card punching through a voice broadcasting function. The alarm module 5 broadcasts voice and short messages to the monitoring center to prompt manual check and eliminate alarm. Fig. 5 is a flow chart of the operation of the alarm module 5 of the present invention.
And 5: when the equipment network management searches for a fault, the mechanism server 4 transmits alarm data generated according to the data Q1 and the data Q3 to the alarm module 5 through a network, the alarm module 5 broadcasts voice and short messages to a monitoring center to prompt manual check, a checker performs troubleshooting processing according to the alarm content, after the fault is processed, the sensor 6 automatically searches and sequentially transmits the data Q and the data Q2 to the server, the server receives the data Q and the data Q2, then performs fault correction on the previous data Q1 and the previous data Q3, and after the correction is successful, the mechanism server 4 stores the data Q and the data Q2 in a network management log of the mechanism server 4.
Fig. 6 is a flow chart of the online face recognition intelligent wireless night patrol method of the invention. As shown in fig. 6, an online face recognition intelligent wireless patrol method includes:
step 101: the method comprises the steps of collecting all patrol personnel information, wherein the patrol personnel information comprises patrol personnel identity information and patrol personnel image information, the patrol personnel identity information comprises names, sexes, identity card numbers, birth years and months and addresses, and the patrol personnel image information is an identity card image.
Step 102: and according to the information of each patrol worker, determining the intelligent shift scheduling management information of each patrol worker and the setting information of each patrol time.
Step 103: acquiring current image information of the patrolman, wherein the current image information of the patrolman is acquired through a face recognition card punching terminal and is on-site image information of the patrolman at a patrolling point.
Step 104: and judging whether the current patrol personnel information should be checked at the current moment according to each intelligent scheduling management information and each patrol time setting information.
Step 105: if yes, outputting the information of successful card punching.
Step 106: if not, outputting the card punching failure information, and sending an alarm, wherein the method specifically comprises the following steps:
and outputting the card punching failure information, informing a manager and a patrolman on duty in a short message manner, and informing a monitoring center to verify the condition through a voice report.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to assist understanding of the system and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. The utility model provides a wireless system of patrolling of online face identification intelligence which characterized in that includes: the system comprises a face recognition card reader, a face recognition card punching terminal, an image library server, a mechanism server and an alarm module;
the face recognition card reader is used for collecting all patrol personnel information; the image library server is respectively connected with the face recognition card reader and is used for receiving all the patrol personnel information; face identification terminal of checking card is used for gathering current inspection personnel information and will current inspection personnel information send to mechanism server, mechanism server respectively with face identification terminal of checking card image library server with alarm module connects, mechanism server is used for carrying out intelligent shift management and inspection time setting to all inspection personnel, according to intelligent shift management information, inspection time setting information and all inspection personnel information are right current inspection personnel information judges, obtains the information of checking card, and will the information of checking card send to face identification terminal of checking card shows, controls when the information of checking card is for the failure information of checking card alarm module sends the warning.
2. The online face recognition intelligent wireless patrol system according to claim 1, wherein the patrol personnel information comprises patrol personnel identity information and patrol personnel image information.
3. The online face recognition intelligent wireless patrol system according to claim 1, further comprising a sensor, wherein the sensor is respectively connected with the face recognition card punching terminal and the mechanism server, and the sensor is configured to transmit intelligent shift management information and patrol time setting information formulated by the mechanism server to the face recognition card punching terminal.
4. The online face recognition intelligent wireless night patrol system according to claim 1, wherein the sensor employs an integrated 4G communication module.
5. The online face recognition intelligent wireless patrol system according to claim 1, wherein the alarm module is configured to notify a manager and a patrol officer on duty in a form of a short message when the card-punching information is the card-punching failure information, and notify a monitoring center of condition verification through a voice report.
6. An online face recognition intelligent wireless patrol method is characterized by comprising the following steps:
collecting all patrol personnel information;
according to the information of each patrol worker, determining intelligent shift scheduling management information of each patrol worker and setting information of each patrol time;
collecting current patrol staff information;
judging whether the current patrol personnel information should be checked at the current moment according to each intelligent scheduling management information and each patrol time setting information;
if so, outputting the information of successful card punching;
if not, outputting the card punching failure information and giving an alarm.
7. The online face recognition intelligent wireless patrol method according to claim 1, wherein the patrol personnel information comprises patrol personnel identity information and patrol personnel image information.
8. The online face recognition intelligent wireless night patrol method according to claim 1, wherein the outputting of the card-punching failure information and the issuing of the alarm specifically include:
and outputting the card punching failure information, informing a manager and a patrolman on duty in a short message manner, and informing a monitoring center to verify the condition through a voice report.
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| CN208673393U (en) * | 2018-08-16 | 2019-03-29 | 湖北文理学院 | Fixed point inspection feedback device and system |
| CN209149376U (en) * | 2018-12-29 | 2019-07-23 | 英特韦特安防科技（中山）有限公司 | A kind of intelligent Guard |
| CN110706363A (en) * | 2019-08-30 | 2020-01-17 | 上海上实龙创智慧能源科技股份有限公司 | Attendance scheduling system based on face recognition |
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