CN109241847A - The Oilfield Operation District safety monitoring system of view-based access control model image - Google Patents
The Oilfield Operation District safety monitoring system of view-based access control model image Download PDFInfo
- Publication number
- CN109241847A CN109241847A CN201810890200.7A CN201810890200A CN109241847A CN 109241847 A CN109241847 A CN 109241847A CN 201810890200 A CN201810890200 A CN 201810890200A CN 109241847 A CN109241847 A CN 109241847A
- Authority
- CN
- China
- Prior art keywords
- face
- personnel
- image
- operation district
- processing module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Multimedia (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to the Oilfield Operation District safety monitoring system of view-based access control model image, the Oilfield Operation District safety monitoring system of view-based access control model image, including Master Control Unit, and the recognition of face detection unit and wearing behavioral value unit that are electrically connected respectively with Master Control Unit；The recognition of face detection unit is used to carry out recognition of face detection to the personnel for entering Oilfield Operation District；The wearing behavioral value unit is used to detect into whether the personnel of Oilfield Operation District dress tooling.Monitoring system through the invention can carry out efficient real-time monitoring to Oilfield Operation District, and monitoring cost is lower.
Description
Technical field
The present invention relates to picture control technical field, it is specifically related to the view-based access control model image suitable for Oilfield Operation District
Oilfield Operation District safety monitoring system.
Background technique
Due to the particularity of Oilfield Operation District, due to safety concerns, for enter oil field operation region personal management compared with
It is stringent, it usually needs authentication is carried out to all personnel for entering oil field operation region, in addition, making for entering oil field
The dress of industry area people also there are certain requirements, it is generally the case that need to wear specific work clothes and safety cap.Currently,
Detection for entering oil field operation region personnel is generally limited to that the authentication of inlet and outlet is arranged in, and testing cost is higher, and
Wearing behavior for entering personnel is then usually to be detected by artificially identification, is difficult to realize the monitoring of automation.Into one
Step, Oilfield Operation District be usually it is open, that is, be exposed in the environment of sun light direct beam, as a result, staff institute itself
The cast shadow of generation will generate large effect to existing image analysis processing, seriously affect the standard that personnel are dressed with detection
, often there is error detection and mistake in true property, traditional picture control technology accurate detection difficult to realize that personnel are dressed with behavior
The case where alarm.Currently, lacking one kind can effectively supervise into oil field operation region personnel, and the lower prison of monitoring cost
Control system.
Summary of the invention
The purpose of the present invention is to solve the above problem, provide it is a kind of can preferably suitable for Oilfield Operation District based on
The Oilfield Operation District safety monitoring system of visual pattern.
Present invention technical solution used for the above purpose is:
The Oilfield Operation District safety monitoring system of view-based access control model image, including Master Control Unit, and respectively with Master Control Unit
The recognition of face detection unit and wearing behavioral value unit of electric connection；
The recognition of face detection unit is used to carry out recognition of face detection to the personnel for entering Oilfield Operation District, and face is known
Other detection unit includes: the first image collection module, for obtaining the first monitoring image；First image processing module, for examining
It surveys in first monitoring image with the presence or absence of facial image；Face database, for storing white and black list personnel's
Face information data；Recognition of face analysis module, the face for detecting to the first image processing module carry out discriminance analysis,
Whether the detected face of judgement matches with the white and black list personnel in face database, and matching result is anti-
It feeds Master Control Unit；
The wearing behavioral value unit is used to detect into whether the personnel of Oilfield Operation District dress tooling.
Preferably, the first image processing module detects the first monitoring image using frame difference method, and judgement is
The no specific connected region that there is characterization face.
Preferably, when the white and black list personnel in the face and database that the first image processing module detects are equal
When mismatching, or matching with a certain face information in blacklist, Master Control Unit triggering alarm unit is alarmed.
Preferably, when the white and black list personnel in the face and database that the first image processing module detects are equal
When mismatch, detected face is regarded as stranger by Master Control Unit, and its face information data is stored to face number
According in library.
Preferably, when the white list personnel in the face and database that the first image processing module detects match,
The when and where information that the personnel enter Oilfield Operation District scene is carried out storage record by Master Control Unit.
It preferably, further include being electrically connected with Master Control Unit for showing the display unit of the matching result.
Preferably, the wearing behavioral value unit includes:
Second image collection module, for obtaining the second monitoring image；
Second image processing module for extracting foreground image from the area-of-interest of the second monitoring image, and is examined
Survey judges in the foreground image with the presence or absence of the specific connected region comprising portrait；
It dresses analysis and processing module and judges people for being analyzed and processed to the specific connected region comprising portrait
Whether member dresses tooling；The wearing analysis and processing module judges that the method whether personnel dress tooling includes: to include by described
The specific connected region of portrait carries out region division, judges whether the specific pixel accounting in divided region is more than setting value,
More than setting value, then it is determined as that personnel have dressed tooling, negative is determined as that personnel do not dress tooling.
Preferably, further include nature shadow model database, store and monitored in the nature shadow model database
The shadow character that personnel in region generate under the conditions of natural lighting changes with time relation data；Wearing analysis processing mould
Block determines current weather conditions, when being determined as fine day, in conjunction with the natural shadow model database from including portrait
Specific connected region in removal be identified as be shade part, and using remove dash area after specific connected region as
Judge whether personnel dress the target area of tooling.
Preferably, fixed reference is also stored in the natural shadow model database to generate under the conditions of natural lighting
Shadow character change with time relation data；Second image processing module is also from the second acquired monitoring image
Fixed reference region is extracted, wearing analysis and processing module unified with nature shadow model database analysis judges fixed reference
Region whether include fixed reference shade, include shade, then be determined as fine day.
Preferably, when the recognition of face analysis module can not identify the face that the first image processing module detects
When, Master Control Unit triggering alarm unit carries out the unknown alarm swarmed into, and saves the video image for swarming into front and back, artificial to provide
Whether personnel are swarmed into differentiation suspicious.
Compared with prior art, the present invention has at least the following advantages and the utility model has the advantages that
1, the monitoring cost of the Oilfield Operation District safety monitoring system of view-based access control model image provided by the invention is lower, can have
It imitates and behavior realization automatic monitoring in real time is dressed to the personnel of Oilfield Operation District, and is more accurate for the detection of personnel, mention
High security control efficiency.
2, monitoring system provided by the invention efficiently solves natural light shade and dresses the accuracy of detection and steady to personnel
Qualitative bring influences, and improves the Stability and veracity of detection.
Detailed description of the invention
Fig. 1 is the structural block diagram of the monitoring system of the embodiment of the present invention；
Fig. 2 is the testing process schematic diagram of the recognition of face detection unit of the embodiment of the present invention；
Fig. 3 is the testing process schematic diagram of the wearing behavioral value unit of the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and embodiments, refering to shown in attached drawing 1-3, the present invention
Following examples are provided.
The Oilfield Operation District safety monitoring system of view-based access control model image, including Master Control Unit, and respectively with Master Control Unit
The recognition of face detection unit and wearing behavioral value unit of electric connection；
The recognition of face detection unit is used to carry out recognition of face detection to the personnel for entering Oilfield Operation District, and face is known
Other detection unit includes: the first image collection module, for obtaining the first monitoring image；First image processing module, for examining
It surveys in first monitoring image with the presence or absence of facial image；Face database, for storing white and black list personnel's
Face information data；Recognition of face analysis module, the face for detecting to the first image processing module carry out discriminance analysis,
Whether the detected face of judgement matches with the white and black list personnel in face database, and matching result is anti-
It feeds Master Control Unit；
The wearing behavioral value unit is used to detect into whether the personnel of Oilfield Operation District dress tooling.
Preferably, the first image processing module detects the first monitoring image using frame difference method, and sentence
The disconnected specific connected region with the presence or absence of characterization face.In view of actually detected necessity, strategy as one preferred will
The two field pictures for being separated by 10 frames carry out the processing of frame difference.As one kind specifically, can be used connected region form comparison mode into
The judgement of the specific connected region of row characterization face.Certainly, the present embodiment institute is not limited to for the judgement of specific connected region
The mode of offer, those skilled in the art can be used other prior arts and implement.
Preferably, as the white and black list people in the face and database that the first image processing module detects
Member's information mismatches, or when matching with a certain face information in blacklist, and Master Control Unit triggering alarm unit is reported
It is alert.When matching result is white list personnel, the frame difference carried out next time after 30 frames is waited to detect.Further, when the first figure
When white and black list personnel in the face and database detected as processing module mismatch, Master Control Unit will be examined
The face measured regards as stranger, and by the storage of its face information data into face database, and administrative staff can be according to as a result,
According to the strange humanized identification (for example, judge whether the stranger belongs to new staff, or whether belong to by
Allow access into other personnel of Oilfield Operation District), it is carried out repartitioning classification, as a result, without individually carrying out dialogue name
Single and blacklist personal information update typing.
Preferably, when the white list personnel in the face and database that the first image processing module detects match
When, the when and where information which enters Oilfield Operation District scene is carried out storage record by Master Control Unit.Facilitate phase as a result,
The safety manager of pass understands the personnel's situation for entering oil field operation region in more detail, and there are different for discovery in time
Normal personnel.
Preferably, monitoring system further includes being electrically connected with Master Control Unit for showing the aobvious of the matching result
Show that unit, shown display unit include display screen, matching result is shown by display unit, facilitates related management personnel more
It is apparent from recognition of face detection case.
Preferably, the wearing behavioral value unit includes:
Second image collection module, for obtaining the second monitoring image；
Second image processing module for extracting foreground image from the area-of-interest of the second monitoring image, and is examined
Survey judges in the foreground image with the presence or absence of the specific connected region comprising portrait；
It dresses analysis and processing module and judges people for being analyzed and processed to the specific connected region comprising portrait
Whether member dresses tooling；The wearing analysis and processing module judges that the method whether personnel dress tooling includes: to include by described
The specific connected region of portrait carries out region division, judges whether the specific pixel accounting in divided region is more than setting value,
More than setting value, then it is determined as that personnel have dressed tooling, negative is determined as that personnel do not dress tooling.
As one kind specifically, the mode of Gaussian Mixture background modeling can be used from feeling emerging in second image processing module
Background and foreground image are isolated in interesting region.The area-of-interest refers to object detection area, as one preferred,
The area-of-interest is personnel often movable region.For the personnel in oil field operation region, frequent movable area
Domain be it is approximately fixed, therefore, facilitated using the region as area-of-interest accurately from foreground image detection judge institute
State specific connected region.Meanwhile can also exclude the interference of the moving object except area-of-interest, that is, it avoids other fortune
Animal body erroneous judgement personnel, so that the Stability and veracity to the specific connected region detection judgement comprising portrait is improved,
Improve detection efficiency.As another preferred scheme, the lower half portion in the second monitoring image is chosen as area-of-interest.
This programme is such a based on solving the problems, such as: the top half region in the monitoring image in oil field operation region, in image
What is monitored is usually the picture of pumping unit, and pumping unit is at work, and the up and down motion of horse head and its shade can be to preceding
The detection judgement of specific connected region in scape image interferes, or even the case where erroneous judgement occurs.In consideration of it, choosing second
Lower half portion in monitoring image is excluded as area-of-interest, while by the top half in the second monitoring image interested
Except region, the movement of the subregional pumping unit horsehead in the upper half and its interference of shade bring in image can be eliminated, also,
In general, the personnel of Oilfield Operation District also will not substantially enter below the pumping unit of monitoring image top half,
That is the zone of action of personnel is also usually therefore, also substantially will not in the lower half portion region of the second monitoring image
There is the case where leak detection to personnel.
As a preferred solution, the wearing analysis and processing module analyzes and determines whether personnel dress the strategy of tooling
Include: the specific connected region progress region division by described comprising portrait, judges the specific pixel accounting in divided region
Whether it is more than setting value, is more than setting value, then is determined as that personnel have dressed tooling, negative is determined as that personnel do not dress tooling.Tool
Body, the specific connected region can be divided into head, trunk and lower limb portion, the specific picture according to average person's ratio
Element can be the pixel for the tooling color dressed needed for personnel.For example, head needed for dress cap color be yellow, then with
The yellow is to carry out binary conversion treatment to head zone referring to given threshold, is white by the processes pixel to match with yellow,
Unmatched pixel is handled as black, calculates the ratio that white area accounts for head zone as a result, when the ratio is more than setting
When value, then it is determined as that cap has been dressed on the head of personnel, is otherwise judged to not dressing cap.Likewise, such as by trunk with
And the color dressed needed for lower limb portion is set as red, then is to carry out two-value to head zone referring to given threshold with the red
Change processing, and then judge the accounting of the corresponding region after binary conversion treatment, to judge whether trunk portion and/or lower limb portion dress
Formulate the tooling of color.As one kind specifically, the setting value of above-mentioned specific pixel accounting can be set as between 70%-100%
Any value.
Preferably, monitoring system further includes nature shadow model database, in the nature shadow model database
The shadow character that personnel of the storage in the domain of monitoring section generate under the conditions of natural lighting changes with time relation data；It wears
It wears analysis and processing module to determine current weather conditions, when being determined as fine day, in conjunction with the natural shadow model data
Library removed out of specific connected region comprising portrait be identified as be shade part, and will remove dash area after it is specific
Connected region is as judging whether personnel dress the target area of tooling.As one kind specifically, the nature shadow model number
Data according to library are using average person as reference model, and the average person of foundation is under the conditions of monitoring in region in natural lighting
The correspondence changing rule data of generated shade at any time.The practice processes of the program are, geographical location information (including
Latitude and longitude information) it is certain in the case where, (i.e. metamorphosis is smaller, for example, with this for a certain certain objects in the geographical location
For average person in embodiment, the personnel in oil field operation region are usually standing state, and body shape changes are relatively
It is small, therefore can be approximately fixed form) in natural lighting condition, the form of generated shade (including general shape, area
And the relative positional relationship between the certain objects) with time (including season information and specific time point) have one
Fixed corresponding relationship.That is, for specific to the present embodiment, the personnel in oil field operation region a certain specific moment its
Generated shade form is foreseeable under the conditions of natural lighting.The technical problem that this embodiment scheme is solved
It is: when the personnel to oil field operation region carry out wearing behavioral value, due under the conditions of the solar irradiation of fine day, human body institute
The shade (cast shadow) of generation can be moved together with human body, and then be sentenced in the detection for carrying out specific connected region to foreground image
When disconnected, the shade of human body and its generation can be determined as to a specific connected region or the erroneous judgement of human body shade is set to specific company
Logical region, so that the accuracy for influencing wearing detection judgement even will lead to false alarm.For example, with human body and its yin of generation
Shadow is determined as a specific connected region, in the case where personnel have dressed tooling, due to the presence of shade, and specific picture
The accounting of plain (the corresponding pixel of tooling color) can be obviously reduced, consequently, it is possible to misinterpretation does not dress tooling for personnel, thus
Generate false alarm.This programme is worn by removing dash area in the specific connected region comprising portrait to ensure that as a result,
Wear the accuracy of detection judgement.
Preferably, being also stored with fixed reference under the conditions of natural lighting in the nature shadow model database
The shadow character of generation changes with time relation data；Second image processing module is also from the second acquired monitoring figure
Fixed reference region, the fixed ginseng of wearing analysis and processing module unified with nature shadow model database analysis judgement are extracted as in
According to object area whether include fixed reference shade, include shade, then be determined as fine day.As one kind specifically, wearing point
Analysis processing module can be by calling shade of the fixed reference stored in nature shadow model database under the corresponding time special
It levies data (containing the relative positional relationship between the morphological feature and shade and fixed reference of shade), detection judgement
Whether the corresponding position in fixed reference region includes the pixel for characterizing shade, if comprising being determined as fine day.Above-mentioned side
The practice processes of case are, produced by fixed reference is under the determining time (including specific date and specific moment)
Shade be it is predictable, and the form of shade and its positional relationship between fixed reference be also it is predictable,
Therefore, only fine day can need to be determine whether by the detection of the shade to the object of reference.One kind is specifically, the fixation reference
Object can be the object for being fixedly installed on the form in oil field operation region and fixing, for example, being erected in the straight-bar on ground.
Preferably, the monitoring image before and after the alarm of interception in 10-20 seconds can be sent by wireless transmission unit
To remote monitoring terminal, remote monitoring terminal is provided and is further analyzed judgement, made corresponding safety management in time and arrange
It applies.
As one preferred, since oil field operation region is often in relatively remote region, network condition is poor, network
Phenomena such as bandwidth is inadequate, often will appear monitoring image Transmission, flower screen.Therefore, the first image collection module (including is taken the photograph
As head) frame per second be set as that 8 frames are per second, and resolution ratio is set as 1080*720 and reaches compromise, realize transmission stabilization, do not occur colored screen.
Preferably, when the recognition of face analysis module can not identify the people that the first image processing module detects
When face, Master Control Unit triggering alarm unit carries out the unknown alarm swarmed into, and saves the video image for swarming into front and back, to provide people
Whether personnel are swarmed into work differentiation suspicious.Program problem to be solved is, when the second image collection module (including camera)
When acquired image resolution ratio is lower, recognition of face analysis module, which can not understand, identifies detected face information, from
And it will lead to leak detection.
In the description of the embodiment of the present invention, particular features, structures, materials, or characteristics can at any one or
It can be combined in any suitable manner in multiple embodiment or examples.
In the description of the embodiment of the present invention, it is to be understood that "-" and "~" indicated is that two values are same
Range, and the range includes endpoint.Such as: " A-B " indicates to be greater than or equal to A, and is less than or equal to the range of B." A~B "
It indicates to be greater than or equal to A, and is less than or equal to the range of B.In the description of the embodiment of the present invention, the terms " and/
Or ", only a kind of incidence relation for describing affiliated partner, indicates may exist three kinds of relationships, for example, A and/or B, it can be with table
Show: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, character "/" herein, typicallys represent front and back
Affiliated partner is a kind of relationship of "or".
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. the Oilfield Operation District safety monitoring system of view-based access control model image, which is characterized in that including Master Control Unit, and respectively with
The recognition of face detection unit and wearing behavioral value unit that Master Control Unit is electrically connected；
The recognition of face detection unit is used to carry out the personnel for entering Oilfield Operation District recognition of face detection, recognition of face inspection
Surveying unit includes: the first image collection module, for obtaining the first monitoring image；First image processing module, for detecting
It states in the first monitoring image with the presence or absence of facial image；Face database, for storing the face of white and black list personnel
Information data；Recognition of face analysis module, the face for detecting to the first image processing module carry out discriminance analysis, judgement
Whether detected face matches with the white and black list personnel in face database, and matching result is fed back to
Master Control Unit；
The wearing behavioral value unit is used to detect into whether the personnel of Oilfield Operation District dress tooling.
2. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 1, which is characterized in that described
First image processing module detects the first monitoring image using frame difference method, and judges whether there is the specific of characterization face
Connected region.
3. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 1, which is characterized in that when
White and black list personnel in the face and database that one image processing module detects mismatch, or in blacklist
A certain face information when matching, Master Control Unit triggering alarm unit is alarmed.
4. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 3, which is characterized in that when
When white and black list personnel in the face and database that one image processing module detects mismatch, Master Control Unit will
Detected face regards as stranger, and by the storage of its face information data into face database.
5. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 3, which is characterized in that when
When white list personnel in the face and database that one image processing module detects match, Master Control Unit enters the personnel
The when and where information at Oilfield Operation District scene carries out storage record.
6. the Oilfield Operation District safety monitoring system of view-based access control model image according to any one of claims 1-5, special
Sign is, further includes being electrically connected with Master Control Unit for showing the display unit of the matching result.
7. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 1, which is characterized in that described
Dressing behavioral value unit includes:
Second image collection module, for obtaining the second monitoring image；
Second image processing module for extracting foreground image from the area-of-interest of the second monitoring image, and detects and sentences
Break in the foreground image with the presence or absence of the specific connected region comprising portrait；
It dresses analysis and processing module and judges that personnel are for being analyzed and processed to the specific connected region comprising portrait
No wearing tooling；The wearing analysis and processing module judges that the method whether personnel dress tooling includes: by described comprising portrait
Specific connected region carry out region division, judge whether the specific pixel accounting in divided region is more than setting value, is more than
Setting value is then determined as that personnel have dressed tooling, and negative is determined as that personnel do not dress tooling.
8. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 7, which is characterized in that also wrap
Nature shadow model database is included, the personnel in monitoring section domain are stored in the nature shadow model database in natural light
The shadow character generated according under the conditions of changes with time relation data；Analysis and processing module is dressed to carry out current weather conditions
Determine, when being determined as fine day, is removed out of specific connected region comprising portrait in conjunction with the natural shadow model database
Be identified as be shade part, and the specific connected region after dash area will be removed as judging whether personnel dress tooling
Target area.
9. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 8, which is characterized in that described
Shadow character that fixed reference generates under the conditions of natural lighting is also stored in natural shadow model database at any time
Variation relation data；Second image processing module also extracts fixed reference area from the second acquired monitoring image
Domain, wearing analysis and processing module unified with nature shadow model database analysis judge whether fixed reference region includes fixed ginseng
According to the shade of object, includes shade, be then determined as fine day.
10. the Oilfield Operation District safety monitoring system of view-based access control model image according to claim 1, which is characterized in that when
When the recognition of face analysis module can not identify the face that the first image processing module detects, Master Control Unit triggering alarm
Unit carries out the unknown alarm swarmed into, and saves the video image for swarming into front and back, and whether swarm into personnel to provide artificial cognition may be used
It doubts.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810890200.7A CN109241847A (en) | 2018-08-07 | 2018-08-07 | The Oilfield Operation District safety monitoring system of view-based access control model image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810890200.7A CN109241847A (en) | 2018-08-07 | 2018-08-07 | The Oilfield Operation District safety monitoring system of view-based access control model image |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109241847A true CN109241847A (en) | 2019-01-18 |
Family
ID=65069947
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810890200.7A Pending CN109241847A (en) | 2018-08-07 | 2018-08-07 | The Oilfield Operation District safety monitoring system of view-based access control model image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109241847A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110232366A (en) * | 2019-06-19 | 2019-09-13 | 精英数智科技股份有限公司 | Detection method, device, server and the medium of electrostatic protection executive condition |
| CN110263719A (en) * | 2019-06-21 | 2019-09-20 | 大庆安瑞达科技开发有限公司 | Artificial intelligence oil gas field prevention judgement system and method based on big data monitoring |
| CN112395999A (en) * | 2020-11-19 | 2021-02-23 | 平安普惠企业管理有限公司 | Wearing standard judging method based on image recognition and related equipment |
| CN114092875A (en) * | 2021-11-01 | 2022-02-25 | 南方电网深圳数字电网研究院有限公司 | Operation site safety supervision method and device based on machine learning |
| CN116229377A (en) * | 2023-05-06 | 2023-06-06 | 成都三合力通科技有限公司 | Personnel control alarm system and method |
| CN116978152A (en) * | 2023-06-16 | 2023-10-31 | 三峡高科信息技术有限责任公司 | Noninductive safety monitoring method and system based on radio frequency identification technology |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763646A (en) * | 2009-12-30 | 2010-06-30 | 深圳大学 | Shadow detection method and device and video image processing system |
| CN102158595A (en) * | 2011-02-16 | 2011-08-17 | 中兴通讯股份有限公司 | Method and device for realizing burglary prevention of mobile terminal by face recognition |
| KR20140075932A (en) * | 2012-12-11 | 2014-06-20 | 주식회사 글로비트 | Attendance management system using face recognitionaccess control unit |
| CN106295551A (en) * | 2016-08-05 | 2017-01-04 | 南京理工大学 | A kind of personal security cap wear condition real-time detection method based on video analysis |
| CN107480626A (en) * | 2017-08-09 | 2017-12-15 | 广州云从信息科技有限公司 | A kind of method that census using recognition of face monitors |
| CN107610395A (en) * | 2017-10-27 | 2018-01-19 | 华润电力技术研究院有限公司 | A kind of monitoring system |
| CN108009728A (en) * | 2017-12-05 | 2018-05-08 | 深圳春沐源控股有限公司 | Regional security management method and system in park |
| CN108229297A (en) * | 2017-09-30 | 2018-06-29 | 深圳市商汤科技有限公司 | Face identification method and device, electronic equipment, computer storage media |
-
2018
- 2018-08-07 CN CN201810890200.7A patent/CN109241847A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763646A (en) * | 2009-12-30 | 2010-06-30 | 深圳大学 | Shadow detection method and device and video image processing system |
| CN102158595A (en) * | 2011-02-16 | 2011-08-17 | 中兴通讯股份有限公司 | Method and device for realizing burglary prevention of mobile terminal by face recognition |
| KR20140075932A (en) * | 2012-12-11 | 2014-06-20 | 주식회사 글로비트 | Attendance management system using face recognitionaccess control unit |
| CN106295551A (en) * | 2016-08-05 | 2017-01-04 | 南京理工大学 | A kind of personal security cap wear condition real-time detection method based on video analysis |
| CN107480626A (en) * | 2017-08-09 | 2017-12-15 | 广州云从信息科技有限公司 | A kind of method that census using recognition of face monitors |
| CN108229297A (en) * | 2017-09-30 | 2018-06-29 | 深圳市商汤科技有限公司 | Face identification method and device, electronic equipment, computer storage media |
| CN107610395A (en) * | 2017-10-27 | 2018-01-19 | 华润电力技术研究院有限公司 | A kind of monitoring system |
| CN108009728A (en) * | 2017-12-05 | 2018-05-08 | 深圳春沐源控股有限公司 | Regional security management method and system in park |
Non-Patent Citations (2)
| Title |
|---|
| 张雅婷: "基于嵌入式平台的油田安全监控系统研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 段应奎: "基于深度学习的人脸识别技术在安防领域的应用", 《技术与应用》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110232366A (en) * | 2019-06-19 | 2019-09-13 | 精英数智科技股份有限公司 | Detection method, device, server and the medium of electrostatic protection executive condition |
| CN110263719A (en) * | 2019-06-21 | 2019-09-20 | 大庆安瑞达科技开发有限公司 | Artificial intelligence oil gas field prevention judgement system and method based on big data monitoring |
| CN112395999A (en) * | 2020-11-19 | 2021-02-23 | 平安普惠企业管理有限公司 | Wearing standard judging method based on image recognition and related equipment |
| CN114092875A (en) * | 2021-11-01 | 2022-02-25 | 南方电网深圳数字电网研究院有限公司 | Operation site safety supervision method and device based on machine learning |
| CN116229377A (en) * | 2023-05-06 | 2023-06-06 | 成都三合力通科技有限公司 | Personnel control alarm system and method |
| CN116229377B (en) * | 2023-05-06 | 2023-08-04 | 成都三合力通科技有限公司 | Personnel control alarm system and method |
| CN116978152A (en) * | 2023-06-16 | 2023-10-31 | 三峡高科信息技术有限责任公司 | Noninductive safety monitoring method and system based on radio frequency identification technology |
| CN116978152B (en) * | 2023-06-16 | 2024-03-01 | 三峡高科信息技术有限责任公司 | Noninductive safety monitoring method and system based on radio frequency identification technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109241847A (en) | The Oilfield Operation District safety monitoring system of view-based access control model image | |
| CN103069434B (en) | For the method and system of multi-mode video case index | |
| CN105979210B (en) | A kind of pedestrian's identifying system based on the more ball video camera arrays of multiple gun | |
| CN109377703A (en) | A kind of forest fireproofing early warning system and its method based on machine vision | |
| CN107145851A (en) | Constructions work area dangerous matter sources intelligent identifying system | |
| CN103208126B (en) | Moving object monitoring method under a kind of physical environment | |
| CN101389004B (en) | Moving target classification method based on on-line study | |
| CN105187785B (en) | A kind of across bayonet pedestrian's identifying system and method based on choice of dynamical notable feature | |
| CN113553979B (en) | Safety clothing detection method and system based on improved YOLO V5 | |
| CN109002801A (en) | A kind of face occlusion detection method and system based on video monitoring | |
| CN113903081A (en) | Visual identification artificial intelligence alarm method and device for images of hydraulic power plant | |
| CN112183472A (en) | Method for detecting whether test field personnel wear work clothes or not based on improved RetinaNet | |
| CN105844245A (en) | Fake face detecting method and system for realizing same | |
| CN105022999A (en) | Man code company real-time acquisition system | |
| Lin et al. | Collaborative pedestrian tracking and data fusion with multiple cameras | |
| CN112287823A (en) | Facial mask identification method based on video monitoring | |
| CN114202646A (en) | Infrared image smoking detection method and system based on deep learning | |
| CN112613361A (en) | Intelligent behavior analysis system for security monitoring | |
| CN112184773A (en) | Helmet wearing detection method and system based on deep learning | |
| CN107729804A (en) | A kind of people flow rate statistical method and device based on garment ornament | |
| Liang et al. | Methods of moving target detection and behavior recognition in intelligent vision monitoring. | |
| CN113436229A (en) | Multi-target cross-camera pedestrian trajectory path generation method | |
| CN107133592A (en) | Electricity substation is using infrared thermal imaging and the human body target feature detection algorithm of visual light imaging technological incorporation | |
| CN113807240A (en) | Intelligent transformer substation personnel dressing monitoring method based on uncooperative face recognition | |
| CN103888731A (en) | Structured description device and system for mixed video monitoring by means of gun-type camera and dome camera |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190118 |
|
| RJ01 | Rejection of invention patent application after publication |