CN110309719A - A kind of electric network operation personnel safety cap wears management control method and system - Google Patents
A kind of electric network operation personnel safety cap wears management control method and system Download PDFInfo
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- CN110309719A CN110309719A CN201910444871.5A CN201910444871A CN110309719A CN 110309719 A CN110309719 A CN 110309719A CN 201910444871 A CN201910444871 A CN 201910444871A CN 110309719 A CN110309719 A CN 110309719A
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- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- 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
-
- 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
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- G06V40/172—Classification, e.g. identification
-
- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
-
- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
Abstract
The present invention provides a kind of electric network operation personnel safety caps to wear management control method and system, obtains the image data of construction site according to the time period;The image data for analyzing picture pick-up device obtains image counterpart personnel's information in current slot construction site according to facial image feature;Obtain the head feature of photographed data counterpart personnel's image of current slot picture pick-up device;The corresponding head of facial image does not have safety cap characteristic image, obtains the corresponding personal information of facial image, and mark safety cap does not wear record in personal information record;The personal information that record is greater than or equal to preset times threshold value is not worn from screening safety cap in preset first time period in database.A kind of safety cap of the invention wears management method and system, and the safety cap wear condition track drafting figure of the personnel based on acquisition is intuitive to react construction personnel's wear condition, ensures construction safety;Initiative alarming device is provided simultaneously, is alarmed convenient for the first time of construction personnel.
Description
Technical field
The present invention relates to image management fields, wear management control more particularly, to a kind of electric network operation personnel safety cap
Method and system processed.
Background technique
For electric power construction field because of construction personnel's complexity, the duration of a project is tight, and operating environment is poor, and work progress danger source is more, applies
The awareness of safety of worker person is relatively low, causes the loophole in construction site management more, and wherein high falling and object strike cause
Harm be particularly acute.For the harm for mitigating high falling and object strike, safety cap is undoubtedly a good precautionary measures,
It ins succession inside safety cap the netted cap hoop an of cingulum, is a hinge department of safety cap, it can postpone and reduce transmitting
To the pressure on head and neck, it is often more important that, it can be absorbed by shock bring major part energy.
It is not necessarily to however, some construction personnel falsely believe to wear a safety helmet, violates what security regulations did not wore a safety helmet
Situation happens occasionally, and brings security risk.Therefore be monitored in wear condition of the building site to safety cap it is very necessary, using taking the photograph
It is an effectively method that camera, which is monitored the wear condition of site safety cap,.But if by manually to video figure
As being monitored, not only take time and effort, but also efficiency is also very low, people can not stare at display and observe at the moment, in this way
It is likely to result in the omission of camera picture, influences the validity of monitoring.Artificial, height intelligence is detached from therefore, it is necessary to a kind of
The automatic testing method whether changing, accuracy height and safety cap with practical value are worn, and building site is applied to, with
Guarantee the safety of construction personnel.
Summary of the invention
To solve the deficiency in the above-mentioned prior art, the purpose of the present invention is to provide a kind of electric network operation personnel safeties
Cap wears management control method and system, and the construction personnel of no safe wearing cap is alerted, and at the construction field (site) will
It shows, is alerted on the large screen of the image of the construction personnel of non-safe wearing cap at the construction field (site).
The invention discloses a kind of electric network operation personnel safety caps to wear management control method, comprising:
(11) captured image data of the preset several picture pick-up devices in construction site is obtained according to the time period;
(12) image data for analyzing picture pick-up device, it is automatic to obtain current slot construction now according to facial image feature
The corresponding personal information of facial image in;
(13) head feature of the image of the corresponding personnel of photographed data of picture pick-up device in current slot is obtained;
(14) the corresponding head of facial image does not have safety cap characteristic image, obtains the corresponding personal information of facial image,
And mark safety cap does not wear record in personal information record;
(15) from filtered out in database the safety cap in preset first time period do not wear record be greater than or equal to it is pre-
If the personal information of frequency threshold value.
As advanced optimizing for above scheme, the face image data and facial image of construction site access control system are obtained
The corresponding identity data information of data.
As advanced optimizing for above scheme, it is again introduced into construction site labeled as the personnel of non-safe wearing cap, from
Associated access control system is moved, when verifying personal information again, sends alarm prompt automatically.
As advanced optimizing for above scheme, before the analysis of image data of the acquisition of picture pick-up device, pretreatment behaviour is carried out
Make, including image gray processing, image enhancement and image denoising.
As advanced optimizing for above scheme, according to the picture number of the preset several picture pick-up device acquisitions in construction site
According to, image data corresponding time point, the corresponding position of picture pick-up device, facial image, facial image head feature, draw pair
Answer personnel's travel path at the construction field (site) and the corresponding safety cap wear condition of mark.
As advanced optimizing for above scheme, the first construction of the preset several picture pick-up device acquisitions in construction site is obtained
The face characteristic number stored in the face characteristic data of the face characteristic data of personnel and associated access control system, face database
According to matching result after being matched respectively, matching result includes that it fails to match and successful match;If the people of the first construction personnel
In the face characteristic data stored in the face characteristic data or face database of face characteristic and associated access control system
Some face characteristic data similarity be greater than default similarity threshold, then it represents that successful match.
As advanced optimizing for above scheme, replaced newest in face database by verifying matched image data
The face characteristic data of the counterpart personnel of the face characteristic data of storage.
As advanced optimizing for above scheme, obtain in preset time period, the picture number of the personnel of non-safe wearing cap
According to, and scrolled on the screen of operation field within a preset time.
The invention also discloses a kind of electric network operation personnel safety caps to wear management control system, with access control system communication link
It connects, it is automatic to obtain access control system face image data and the corresponding identity data information of face image data, comprising:
Image Acquisition template, for obtaining the captured image data for defaulting in the picture pick-up device of construction site;
First picture recognition module, the captured image data of the picture pick-up device based on construction site obtain facial image number
According to according to facial image feature, the corresponding personal information of acquisition facial image;
Second picture recognition module, obtains the head feature of the facial image of identification counterpart personnel, and judgement is that enough wear is pacified
Full cap;
Safety cap detects logging modle, for binding the non-safe wearing cap information of record personnel;
Mark alert module: record is not worn for selecting the safety cap in preset first time period from general in database
More than or equal to the personal information of preset times threshold value, identifying the personnel is that safety cap wears warning personnel.
It further include alarm module as advanced optimizing for above scheme, the alarm module includes that active alarm is single
Member and passive alarm subelement:
Active alarm subelement actively triggers safety cap alarm for construction personnel;
Passive alarm subelement is warned for wearing by access control system or with the mobile device sending safety cap of personnel's binding
Accuse information;
The invention also discloses a kind of electric network operation personnel safety caps to wear management equipment, and the display equipment includes processing
Device, memory and display, the memory is for storing at least one instruction, and the processor is for executing described at least one
A instruction is simultaneously controlled by the display with realizing that electric network operation personnel safety cap described in any one as above wears management
Method.
The present invention uses above-mentioned technical solution, compared with prior art, a kind of electric network operation personnel safety of the invention
Cap wears management control method and system, has following technical effect that
1. a kind of exemplary electric network operation personnel safety cap wearing management control method of the present invention, is applied according to the period
The acquisition of worker person's image data obtains according to facial image feature and matches corresponding personal information, and it is corresponding to carry out facial image
Head safety cap wear detection, and mark safety cap does not wear record in personal information record, effectively for construction personnel
Carry out safety supervision and management.
2. a kind of exemplary electric network operation personnel safety cap wearing management control method of the present invention, the constructor based on setting
Member's track record, the intuitive trajectory path figure for drawing construction personnel, the peace of first time feedback system administrator construction personnel
Full cap wear condition, convenient for management and the safety in production of work progress.
3. the exemplary a kind of electric network operation personnel safety cap wearing management control method of the present invention, for the figure of construction personnel
As data are pre-processed, including image gray processing, image enhancement and image denoising, enhance matching for the image of acquisition
Property, convenient for being compared with the storage in face recognition data library record, enhance the accuracy of matching result.
4. a kind of exemplary electric network operation personnel safety cap wearing management control system of the present invention, the alarm mould based on setting
Block, on the one hand, realize that safety cap wears detection system and do not return safe wearing cap to alert construction personnel, be on the one hand convenient for
Construction personnel encounters emergency case feedback current location at the first time, has ensured the safety in production of construction site.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the system flow chart that a kind of electric network operation personnel safety cap of the invention wears management control method;
Fig. 2 is the acquisition images match process that a kind of electric network operation personnel safety cap of the invention wears management control method
Figure;
Fig. 3 is the safety cap wearing detection side that a kind of electric network operation personnel safety cap of the invention wears management control method
The schematic diagram of method;
Fig. 4 is the structural block diagram that a kind of electric network operation personnel safety cap of the invention wears management control system;
Fig. 5 is the structure for the alarm module that a kind of electric network operation personnel safety cap of the invention wears management control system
Figure;
Fig. 6 is that a kind of electric network operation personnel safety cap of the invention wears management control method and the safety cap of system is worn
The trajectory diagram of detection.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Referring to Fig. 1-Fig. 5, present embodiment discloses a kind of electric network operation personnel safety caps to wear management control method, packet
It includes:
(11) captured image data of the preset several picture pick-up devices in construction site is obtained according to the time period;
Specifically, obtaining image data passes through the image that can carry out construction personnel by the inclusion of the picture pick-up device of shooting function
The acquisition of data;Picture pick-up device comprising shooting function belongs to all-in-one infrared camera, infrared hemispherical camera, integration are taken the photograph
Camera, network-type video camera, common dome type camera, gun type camera or other have the equipment of image taking;And it is above-mentioned
The image data for obtaining construction personnel is a cycle process;Preferably, the present embodiment is using network-type video camera as bat
Take the photograph the picture pick-up device of construction personnel's image data;
Specifically, construction personnel is in the camera lens capture range for the network-type video camera for initially entering construction site, network
The video capture of type video camera progress construction personnel;And the network-type video camera for shooting construction personnel's image data have it is more
It is a, it is set in any range of visual angle covering construction site of the network-type video camera shooting in construction site;Preferably, originally
The period of embodiment is set as 2min;
(12) image data for analyzing picture pick-up device, it is automatic to obtain current slot construction now according to facial image feature
The corresponding personal information of facial image in;
(13) head feature of the image of the corresponding personnel of photographed data of picture pick-up device in current slot is obtained;
(14) the corresponding head of facial image does not have safety cap characteristic image, obtains the corresponding personal information of facial image,
And mark safety cap does not wear record in personal information record;
(15) from filtered out in database the safety cap in preset first time period do not wear record be greater than or equal to it is pre-
If the personal information of frequency threshold value;
It is more optimized, obtain the face image data and the corresponding identity number of face image data of construction site access control system
It is believed that breath;
The image data that the face image data for obtaining construction site access control system is detected comes from:
It is obtained from multiple construction personnel's face-images that the face recognition data library of construction personnel stores newest matched
Face-image of the face-image as the construction personnel;
Wherein, multiple construction personnel's face-images of the face recognition data library storage are the construction personnel pre-seted
Face-image;
Specifically, the personnel of the non-safe wearing cap of label are again introduced into construction site, the access control system of auto-associating, again
When verifying personal information, alarm prompt is sent automatically;
The access control system pre-sets the image data of construction personnel, and constructs construction personnel's image data and construction personnel
Communication connection;Preferably, the present embodiment uses connection tool of the smart phone as construction personnel, as access control system identifier
Member's non-safe wearing cap again then sends alarm prompt to construction personnel by pre-stored phone number;
The access control system setting safety cap wears detection function, is based on improved fast area convolutional neural networks algorithm
The feature extraction for carrying out construction personnel's safe wearing cap, by respectively in the region fast area convolutional neural networks Fast R-CNN
Network RPN is generated to improve using Fusion Features pyramid;
The present embodiment carries out the feature extraction of construction personnel based on the depth convolutional neural networks of VGG16, is arranged VGG16's
Feature pyramid from top to bottom be respectively C2, C3, C4, C5 layers, corresponding Fusion Features pyramid be set as from high in the end F5,
F4,F3,F2;
It based on the characteristic pattern that convolution mind grade network obtains, is slided by 3 × 3 sliding window in characteristic pattern, RPN is raw
At candidate region;
The input image data of construction personnel based on improved fast area convolutional neural networks algorithm includes different rulers
Very little characteristic pattern, and correspond to Fusion Features pyramidal F5, F4, F3, F2;Fixed size is arranged in corresponding anchor case, respectively
(32 × 32,64 × 64,128 × 128,256 × 256), corresponding anchor case also set up three kinds of length-width ratio (1:1,1:2,2:1) bases
In the fixed size and fixed dimension of setting, the anchor case of 12 kinds of sizes is constituted;
The present embodiment is improved based on the feature extraction of VGG16, compared with original fast area convolutional neural networks algorithm
Anchor case size improves, and wears the more tiny target information that detection process occurs convenient for the more acurrate safety cap that obtains of algorithm,
The threshold value of anchor case size is rationally set simultaneously, also avoids data redundancy, enhances treatment effeciency;
It more specifically, is below the loss function calculation formula of RPN network
Lreg(ta,ta *)=∑a∈{x,y,w,h}smoothL1(ta-ta *) (2)
In above-mentioned formula, a indicates a-th of anchor, qiIndicate that target is the probability of prospect, qi *Value be 0 or 1, respectively table
It is shown as negative sample and positive sample, taIndicate the Bounding Box, t of predictiona *Indicate the corresponding Ground Truth of positive sample
Box.And entire loss function is divided into two parts LclsAnd Lreg, respectively indicate loss letter of the RPN network for classifying and returning
Number, λ are based on NclsAnd NregThe parameter of the excessive introducing of gap;
Fast area convolutional neural networks algorithm is based on candidate region, uses
Fast R-CNN is the object detector based on candidate region, and the calculating of characteristic pattern is carried out using ROI Poling,
ROI Pooling is inputted
The Proposal Boxes of RPN output;
When the characteristic pattern that extracts of convolutional neural networks, and be single scale characteristic pattern
Based on improved RPN, the calculating of characteristic pattern, the fixed ruler for setting characteristic pattern to are carried out using ROI Pooling
It is very little, it is ensured that current output length, then classified and returned respectively by full articulamentum;
Specifically, image data based on acquisition carry out pretreated operation include image gray processing, image enhancement and
Image denoising:
Image gray processing, setting r are the gray value of the image data of acquisition, and s is transformed gray value, then:
S=clog (1+r) (4)
In above formula, c is constant;
Image enhancement, construction personnel's treated linearity using histogram functions for acquisition stretch variation,
Pass through histogram functions equalization processing again;
Image denoising proceeds through the denoising of the image data of image enhancement using wavelet transformation;
The present embodiment is pre-processed by using the image data for construction personnel, including image gray processing, image
Enhancing and image denoising, enhance the can match of the image of acquisition, convenient for the storage in face recognition data library record into
Row compares, and enhances the accuracy of matching result;
Specifically, when image data, image data according to the preset several picture pick-up device acquisitions in construction site are corresponding
Between point, picture pick-up device corresponding position, facial image, facial image head feature, draw counterpart personnel at the construction field (site)
Travel path and the corresponding safety cap wear condition of mark:
If target geographic position construction personnel safety cap wear testing result be effectively wear, using A class color into
The label in row geographical location;
If target geographic position construction personnel safety cap wear testing result be it is invalid wear, using B class color into
The label in row geographical location;
Preferably, the selected A class color of the present embodiment is green, indicates that current geographic position corresponds to construction personnel and normally wears
It wears a safety helmet;B class color is red, indicates that current geographic position corresponds to construction personnel's exception safe wearing cap;
Construction personnel's trajectory diagram based on drafting carries out geographical location calibration using different colours, intuitive convenient for administrative staff
The safety cap wear condition of any construction personnel that currently stores of acquisition;
Obtain the face characteristic data of the first construction personnel of the preset several picture pick-up devices acquisition in construction site be associated with
The face characteristic data of access control system, the face characteristic data that store in face database, the matching after being matched respectively
As a result, matching result includes that it fails to match and successful match;If the face characteristic data of the first construction personnel and associated gate inhibition
Some face characteristic data phase in the face characteristic data stored in the face characteristic data or face database of system
It is greater than default similarity threshold like degree, then it represents that successful match;
By replacing the face characteristic data stored in face database by verifying matched image data for newest
The face characteristic data of counterpart personnel;
By be arranged construction site matching process similarity threshold, matching process match parameter is provided, facilitate
With process because failing timely test problems caused by physical factor, the fault-tolerance that safety cap wears detection is enhanced;It is arranged simultaneously
The newest image data by verifying is replaced to the storage image of the construction personnel in face recognition data library, it is ensured that face recognition number
Image data according to the construction personnel in library is always latest edition, avoids construction personnel because of image recognition caused by physical factor
Error;
It obtains in preset time period, the image data of the personnel of non-safe wearing cap, and existing in operation within a preset time
It is scrolled on the screen of field;
The present embodiment also discloses a kind of electric network operation personnel safety cap wearing management control system, communicates with access control system
Connection, it is automatic to obtain access control system face image data and the corresponding identity data information of face image data, comprising:
Image Acquisition template, for obtaining the captured image data for defaulting in the picture pick-up device of construction site;
First picture recognition module 100, the captured image data of the picture pick-up device based on construction site obtain facial image
Data obtain the corresponding personal information of facial image according to facial image feature;
Second picture recognition module 200, obtains the head feature of the facial image of identification counterpart personnel, and judgement is enough wearings
Safety cap;
Safety cap detects logging modle 300, for binding the non-safe wearing cap information of record personnel;
Mark alert module 400: note is not worn for filtering out the safety cap in preset first time period from database
Record is greater than or equal to the personal information of preset times threshold value, and identifying the personnel is that safety cap wears warning personnel;
Alarm module 500, including active alarm subelement 510 and passive alarm subelement 520:
Active alarm subelement 510 actively triggers safety cap alarm for construction personnel;
Passive alarm subelement 520 is worn for by access control system or issuing safety cap with the mobile device of personnel's binding
Wear warning message;
Specifically, the wearing testing result for the construction personnel that the passive alarm part-unit 520 is obtained based on video camera into
Row alarm, if detect that construction personnel is in construction site safety zone, construction personnel is detached from safety cap, does not trigger quilt at this time
The warning function of dynamic alarm part-unit 520;
Specifically, setting construction personnel M enters construction site at 1, and (it is not drawn into, takes the photograph in figure by video camera at this time
Camera acquisition range includes entire construction site) image data is obtained by the first picture recognition module 100, it is obtained based on positioning
Module obtains corresponding position, coincide, replaces by the storage record matching in acquisition image data and the face recognition data library of storage
Changing the image currently acquired is latest image, continues to keep the video image of current M to track;Pass through the second picture recognition module
200 detect the effective safe wearing cap of M at this time;
At M row to 2, safety cap is taken off, video camera detects the non-safe wearing cap of M at this time, then passes through alarm module 500
Passive alarm part-unit 520 send alarm message to M mobile phone, prompt the safe safe wearing cap of M;
At M row to 3, safe wearing cap again continues the trajectory diagram for drawing M, and mark 2-3 distance does not wear feelings
Condition;
At M row to 5, construction site safety zone is entered at this time, M takes off safety cap at this time, and video camera detects M not
Safe wearing cap does not trigger alarm then at this time since M is in safety zone, until M row is at 6, safe wearing cap again;Continue
Draw the trajectory diagram of M;
Construction personnel track based on setting is drawn, and intuitively shows the trajectory path figure of construction personnel, at the first time
The safety cap wear condition of the current construction personnel of feedback system administrator, convenient for management and the safety in production of work progress;
Specifically, the initiative alarming subelement 510 that the alarm module 500 is arranged, encounters burst feelings by construction personnel M
Condition manually actively triggers, for sending alarm command, the alarm command of the current present position M of prompt system administrator to system;
Preferably, the emergency case of the present embodiment includes construction accident, the construction personnel's body armful that construction personnel M is encountered in work progress
Illness and other non-natural accidents;
By the alarm module 500 of setting, detection system is worn with safety cap and is contacted, on the one hand, safety can be achieved
Cap wears detection system and does not return safe wearing cap to alert construction personnel, on the one hand encounters burst feelings convenient for construction personnel
Condition feeds back current location at the first time, has ensured the safety in production of construction site;
The present invention provides a kind of electric network operation personnel safety caps to wear management control method and system, obtains according to the time period
The captured image data of the preset several picture pick-up devices in construction site;The image data for analyzing picture pick-up device, according to facial image
Feature, the automatic corresponding personal information of facial image obtained in current slot construction site;It obtains and is taken the photograph in current slot
As the head feature of the image of the corresponding personnel of the photographed data of equipment;The corresponding head of facial image does not have safety cap characteristic pattern
Picture obtains the corresponding personal information of facial image, and mark safety cap does not wear record in personal information record;From database
Middle screening safety cap in preset first time period does not wear the personal information that record is greater than or equal to preset times threshold value.This
A kind of safety cap of invention wears management method and system, the safety cap wear condition track drafting of the personnel based on acquisition
Figure, it is intuitive to react construction personnel's wear condition, ensure construction safety;Initiative alarming device is provided simultaneously, is convenient for construction personnel
Alarm, convenient for encounter emergency case at the first time carry out target person position acquisition.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Except for the technical features described in the specification, remaining technical characteristic is the known technology of those skilled in the art, is prominent
Innovative characteristics of the invention out, details are not described herein for remaining technical characteristic.
Claims (10)
1. a kind of electric network operation personnel safety cap wears management control method characterized by comprising
(11) captured image data of the preset several picture pick-up devices in construction site is obtained according to the time period;
(12) image data for analyzing picture pick-up device, it is automatic to obtain in current slot construction site according to facial image feature
The corresponding personal information of facial image;
(13) head feature of the image of the corresponding personnel of photographed data of picture pick-up device in current slot is obtained;
(14) the corresponding head of facial image does not have a safety cap characteristic image, obtains the corresponding personal information of facial image, and
Mark safety cap does not wear record in personal information record;
(15) record is not worn from screening safety cap in preset first time period in database be greater than or equal to preset times
The personal information of threshold value.
2. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: obtain
Take the face image data and the corresponding identity data information of face image data of construction site access control system.
3. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: mark
The personnel for being denoted as non-safe wearing cap are again introduced into construction site, the access control system of auto-associating, when verifying personal information again,
It is automatic to send alarm prompt.
4. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: take the photograph
As the acquisition of equipment analysis of image data before, carry out pretreatment operation, including image gray processing, image enhancement and image go
It makes an uproar.
5. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: root
According to the image data of the preset several picture pick-up device acquisitions in construction site, image data corresponding time point, picture pick-up device is corresponding
Position, facial image, facial image head feature, draw counterpart personnel's travel path at the construction field (site) and mark correspond to
Safety cap wear condition.
6. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: obtain
Take the face characteristic data and associated access control system of the first construction personnel of the preset several picture pick-up device acquisitions in construction site
Face characteristic data, the face characteristic data that store in face database, the matching result after being matched respectively, matching knot
Fruit includes that it fails to match and successful match;If the face of the face characteristic data of the first construction personnel and associated access control system is special
Some the face characteristic data similarity in face characteristic data stored in sign data or face database is greater than default
Similarity threshold, then it represents that successful match.
7. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that: will
The newest face for replacing the counterpart personnel of the face characteristic data stored in face database by verifying matched image data
Characteristic.
8. a kind of electric network operation personnel safety cap according to claim 1 wears management control method, it is characterised in that:
It obtains in preset time period, the image data of the personnel of non-safe wearing cap, and within a preset time in operation field
It is scrolled on screen.
9. a kind of electric network operation personnel safety cap wears management control system, it is characterised in that: it is communicated to connect with access control system, from
It is dynamic to obtain access control system face image data and the corresponding identity data information of face image data, comprising:
Image Acquisition template, for obtaining the captured image data for defaulting in the picture pick-up device of construction site;
First picture recognition module, the captured image data of the picture pick-up device based on construction site obtain face image data, root
According to facial image feature, the corresponding personal information of facial image is obtained;
Second picture recognition module, obtains the head feature of the facial image of identification counterpart personnel, and judgement is enough safe wearing caps;
Safety cap detects logging modle, for binding the non-safe wearing cap information of record personnel;
Mark alert module: record is not worn for selecting the safety cap in preset first time period from general in database and is greater than
Or the personal information equal to preset times threshold value, identifying the personnel is that safety cap wears warning personnel.
10. a kind of electric network operation personnel safety cap according to claim 9 wears management control system, it is characterised in that:
Further include alarm module, the alarm module includes active alarm subelement and passive alarm subelement:
Active alarm subelement actively triggers safety cap alarm for construction personnel;
Passive alarm subelement wears warning letter for by access control system or issuing safety cap with the mobile device of personnel's binding
Breath.
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---|---|---|---|---|
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1722801A (en) * | 2004-07-15 | 2006-01-18 | Lg电子株式会社 | Emergency alert message data structure, emergency alert message processing method and broadcast receiver |
CN101198086A (en) * | 2006-12-08 | 2008-06-11 | 中兴通讯股份有限公司 | Emergency broadcast processing method for sending end and terminal of mobile multimedia broadcasting system |
CN105938551A (en) * | 2016-06-28 | 2016-09-14 | 深圳市唯特视科技有限公司 | Video data-based face specific region extraction method |
CN106295299A (en) * | 2016-08-15 | 2017-01-04 | 歌尔股份有限公司 | The user registering method of a kind of intelligent robot and device |
CN106969765A (en) * | 2015-11-27 | 2017-07-21 | 泰勒斯公司 | The method represented for the in-flight track of calculating aircraft |
CN107666594A (en) * | 2017-09-18 | 2018-02-06 | 广东电网有限责任公司东莞供电局 | A kind of video monitoring monitors the method operated against regulations in real time |
CN109063618A (en) * | 2018-07-24 | 2018-12-21 | 四川大航建设工程有限公司 | A kind of construction site safety cap wear condition recognition methods and its system |
CN109447168A (en) * | 2018-11-05 | 2019-03-08 | 江苏德劭信息科技有限公司 | A kind of safety cap wearing detection method detected based on depth characteristic and video object |
CN109472220A (en) * | 2018-10-23 | 2019-03-15 | 广东电网有限责任公司 | A kind of substation's worker safety helmet detection method and its system based on Faster R-CNN |
-
2019
- 2019-05-27 CN CN201910444871.5A patent/CN110309719A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1722801A (en) * | 2004-07-15 | 2006-01-18 | Lg电子株式会社 | Emergency alert message data structure, emergency alert message processing method and broadcast receiver |
CN101198086A (en) * | 2006-12-08 | 2008-06-11 | 中兴通讯股份有限公司 | Emergency broadcast processing method for sending end and terminal of mobile multimedia broadcasting system |
CN106969765A (en) * | 2015-11-27 | 2017-07-21 | 泰勒斯公司 | The method represented for the in-flight track of calculating aircraft |
CN105938551A (en) * | 2016-06-28 | 2016-09-14 | 深圳市唯特视科技有限公司 | Video data-based face specific region extraction method |
CN106295299A (en) * | 2016-08-15 | 2017-01-04 | 歌尔股份有限公司 | The user registering method of a kind of intelligent robot and device |
CN107666594A (en) * | 2017-09-18 | 2018-02-06 | 广东电网有限责任公司东莞供电局 | A kind of video monitoring monitors the method operated against regulations in real time |
CN109063618A (en) * | 2018-07-24 | 2018-12-21 | 四川大航建设工程有限公司 | A kind of construction site safety cap wear condition recognition methods and its system |
CN109472220A (en) * | 2018-10-23 | 2019-03-15 | 广东电网有限责任公司 | A kind of substation's worker safety helmet detection method and its system based on Faster R-CNN |
CN109447168A (en) * | 2018-11-05 | 2019-03-08 | 江苏德劭信息科技有限公司 | A kind of safety cap wearing detection method detected based on depth characteristic and video object |
Cited By (27)
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---|---|---|---|---|
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