CN109493555A - A kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology - Google Patents

A kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology Download PDF

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Publication number
CN109493555A
CN109493555A CN201811480556.XA CN201811480556A CN109493555A CN 109493555 A CN109493555 A CN 109493555A CN 201811480556 A CN201811480556 A CN 201811480556A CN 109493555 A CN109493555 A CN 109493555A
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module
image
dormitory building
animal
video
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CN201811480556.XA
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Chinese (zh)
Inventor
周飞菲
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Zhengzhou Sheng Da Economic Trade Management Institute
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Zhengzhou Sheng Da Economic Trade Management Institute
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Priority to CN201811480556.XA priority Critical patent/CN109493555A/en
Publication of CN109493555A publication Critical patent/CN109493555A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639Details of the system layout
    • G08B13/19645Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19654Details concerning communication with a camera
    • G08B13/19656Network used to communicate with a camera, e.g. WAN, LAN, Internet
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology, it is related to campus security technical field, video acquisition module acquires the real time monitoring video inside and outside dormitory building, personal identification module analyzes monitor video frame by frame, identification is carried out to personnel in such a way that recognition of face and Gait Recognition combine, if it find that a suspect then feeds back the image of identity a suspect from abnormity early warning module to monitoring center;Smoke Detection module is determined the position that fire occurs after detecting smog by abnormity early warning module simultaneously, judges whether the position has a suspect to occur before fire occurs, if there is then sending warning message to monitoring center.Monitoring system of the invention can carry out automatic identification in real time to the personnel inside and outside dormitory building everywhere, to determine whether there is a suspect, and Security Personnel is notified immediately when finding a suspect, prevent most of risk factor, the personal safety as well as the property safety of powerful guarantee students from source.

Description

A kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology
Technical field
The present invention relates to campus security technical fields, more particularly to a kind of campus dormitory building based on intelligent monitoring technology Safety defense monitoring system.
Background technique
Student is the flower in motherland's future, therefore student needs the meticulous protection of the whole society.The number of students at present 2.3 hundred million people have been had reached, have been a very big groups, in addition student's long-time and society isolation, in society Various hazard prevention abilities are relatively low, therefore most of school can all install safety defense monitoring system, to the various feelings in campus Condition is recorded in real time.
Safety defense monitoring system is at present based on video monitoring and fire hazard monitoring, and video monitoring is by being laid in each position in campus Monitoring probe and the monitoring center composition set, fire hazard monitoring is by the Smoke Detection sensor that is mounted in building and is attached thereto Alarm composition.The video information of monitoring probe acquisition is checked after being sent to monitoring center by Security Personnel, by Security Personnel Video manually is checked to determine whether there is potential or occurent criminal offence, and Smoke Detection sensor once detects dense Immediately by alarm equipment alarm after cigarette, and by spray head fire extinguishing water.
Although video monitoring and fire hazard monitoring can play certain preventive effect, accident once occurs, still exempts from Loss is not will cause.It is lost to reduce or avoid, school can reinforce awareness of safety education to student, and student is made to improve self Protective awareness.Current safety defense monitoring system can only rely on Security Personnel's manual identified a suspect, bigger to personnel demand, And there is mistake in manual identified, be unfavorable for protecting the safety of students.
Summary of the invention
The embodiment of the invention provides a kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology, can solve Certainly problems of the prior art.
The present invention provides a kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology, including video acquisition Module, Smoke Detection module, personal identification module, abnormity early warning module, alarm and monitoring center, the video acquisition module Quantity be it is multiple, be separately mounted to each position and dormitory building exterior circumferential, the Smoke Detection module inside dormitory building Quantity be it is multiple, be separately mounted to each position inside dormitory building;
The video acquisition module acquires the video of dormitory building inside and outside in real time and is sent to the personal identification module, institute It states personal identification module to be analyzed received video frame by frame, to judge whether people occur in video, if there is then identifying The identity of the people of appearance, once the personnel of identity occurs can not identifying in discovery, the personal identification module is to the abnormity early warning There is the image of stranger person in one information warning of module feedback, abnormity early warning module statistics, and by these graphic collections, The image of all classification is sent to the monitoring center in real time;
Smog information in the Smoke Detection module detection dormitory building everywhere, once detect that there are cigarettes in some region Mist, the abnormity early warning module determine the position that fire occurs also according to the position where the Smoke Detection module, then root According to the recognition result of the personal identification module judge fire occur position fire generation before a period of time in whether Having can not identify that the personnel of identity occurred, if it is, controlling the alarm issues alarm, and warning message is sent to The monitoring center.
A kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology provided by the invention, including video acquisition Module, Smoke Detection module, personal identification module, abnormity early warning module, alarm and monitoring center, video acquisition module acquisition Real time monitoring video inside and outside dormitory building, personal identification module analyze monitor video frame by frame, are known using recognition of face and gait The mode not combined carries out identification to personnel, if it find that can not identify the people of identity then from abnormity early warning module to prison The image of control center feedback identity exception personnel;Smoke Detection module is determined after detecting smog by abnormity early warning module simultaneously The position that fire occurs, judging whether the position has before fire occurs can not identify that the personnel of identity occurred, if there is then Warning message is sent to monitoring center.Monitoring system of the invention can carry out the personnel inside and outside dormitory building everywhere automatic real-time Identification, to determine whether there is a suspect, and notifies Security Personnel when finding a suspect immediately, prevents from source Most of risk factor, the personal safety as well as the property safety of powerful guarantee students.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is a kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology provided in an embodiment of the present invention Functional block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Referring to Fig.1, a kind of campus dormitory building safety monitoring based on intelligent monitoring technology is provided in the embodiment of the present invention System, including it is video acquisition module, Smoke Detection module, animal identification module, personal identification module, periodic feedback module, different Normal warning module, alarm, monitoring center, data storage cell.The video acquisition module is monitoring probe, monitoring probe Quantity be it is multiple, being separately mounted to each position and dormitory building exterior circumferential, the Smoke Detection module inside dormitory building is Smoke sensor device, the quantity of smoke sensor device be it is multiple, being separately mounted to each position, the monitoring center inside dormitory building is The monitoring room in campus.
The video acquisition module acquire the video of dormitory building inside and outside in real time and be sent to the animal identification module and Whether personal identification module, the animal identification module are analyzed received video frame by frame, non-to judge to occur in video The animal of people, if there is then identifying the title of the animal of appearance and using the robust method for tracking target of noise statistics mismatch The motion track of animal is tracked, it is also dynamic by what is tracked while the title is fed back to the periodic feedback module Object track is for statistical analysis, obtains the close quarters of animal appearance.
Specifically, the animal identification module carries out color conversion to the picture frame in received video, by color image Grayscale image is converted to, to reduce the calculation amount in image processing process, then grayscale image is mentioned using Canny edge detection algorithm The edge pixel point for taking all objects in grayscale image, by the figure that the line of edge pixel point forms and the animals graphics mould prestored Plate is compared, to determine the animal indicated in image with the presence or absence of animals graphics template, if it is present to described periodically anti- The animal name that feedback module feedback identifies.
After the periodic feedback module receives the animal name and close quarters of the animal identification module feedback, by one section The number that the animal name of feedback occurs is counted in time, such as in a week or one month, by each animal name, appearance Number and appearance close quarters classification, generate corresponding disposition according to preset rule and suggest, disposition is suggested It is sent to the monitoring center.Such as in a week some corner in dormitory building of cat or around occur 4 times, then dispose Campus environment administrative staff are reminded to notice the vagrant cat of appearance it is recommended that can be, suggestion is disposed if cat occurs 10 times can be with It is to remind campus environment administrative staff to find vagrant cat and be sent to animal control, if occurring ratio in a week More multiple mouse, then dispose suggestion can be allow campus environment administrative staff contact dissipation unit in dormitory building and surrounding Mouse catched and killed, avoid mouse infect disease.
The personal identification module is analyzed received video frame by frame, to judge whether people occur in video, if Have, identifies the identity of the people of appearance.Specifically, the personal identification module carries out color to the picture frame in received video Conversion, is converted to grayscale image for color image, to reduce the calculation amount in image processing process, then uses to grayscale image Canny edge detection algorithm extracts the edge pixel point of all objects in grayscale image, the figure that the line of edge pixel point is formed Shape is compared with the people's graphics template prestored, with determine in image whether presence of people, if it is present the body of identification people Part.It when identification, is preferentially identified according to the face in image, if face is not present in image, uses make an uproar first The robust method for tracking target of sound statistical property mismatch is tracked the target in picture frame, and image is acquired in tracing process Then gait feature in frame is identified according to the gait of people.Certainly, the safety defense monitoring system is at the beginning of installation due to not having There are enough sample databases to support that Gait Recognition therefore can not be carried out, and recognition of face can then be uploaded according to student and faculty and staff Photo be compared.After sample database after a period of time is established, the personal identification module can be according to sample database In sample and picture frame in gait feature be compared, to determine the identity of the people in image, and in the picture simultaneously There are when face and gait feature, face, gait feature and specific personnel's name are bound, in subsequent monitoring Personnel identity is accurately identified.
The robust method for tracking target tracking accuracy with higher of the noise statistics mismatch used in the present invention and Robustness, specific method are documented in article " the noise statistics mistake that " electronic surveying and instrument journal " is delivered in September, 2018 In the robust method for tracking target matched ", therefore the embodiment of the present invention does not specifically describe it.
Once the personal identification module is pre- to the exception immediately it was found that occurring not identifying the personnel of identity in image Alert one information warning of module feedback, the abnormity early warning module statistics occurs can in these images of the image analysis of stranger person There can be the image of the same strange personnel and these images are classified as one kind, the image of all classification is sent in real time described Monitoring center, and Security Personnel is reminded to pay attention to taking precautions against.If once occurring to steal rob equal criminal offences, Security Personnel can be by these The image of classification takes out, and provides useful information for victim or the police.
Smog information in Smoke Detection module detection dormitory building everywhere, once detect some region there are cigarettes Mist, in addition to spray thrower starts watering, the abnormity early warning module determines hair also according to the location information of the Smoke Detection module Then in fire it occurs for the position for calamity of lighting a fire according to the position that the recognition result of the personal identification module judges that fire occurs Whether can not identify the personnel of identity occurred, issue if it is, the alarm is immediately controlled if having in preceding a period of time Sound-light alarm, and warning message is sent to the monitoring center, the place for reminding Security Personnel that fire is gone to occur immediately, and Pay attention to the unrecognized people of identity that investigation occurred.If unrecognized people occurred without identity, peace is only reminded Guarantor person goes to disposition fire.
The data storage cell is anti-for storing video, the periodic feedback module that the video acquisition module obtains The disposition of feedback suggests, the classification image and warning message of the abnormity early warning module feedback, at any time for Security Personnel or the police It transfers.
Disclosed above is only several specific embodiments of the invention, and still, the embodiment of the present invention is not limited to this, is appointed What what those skilled in the art can think variation should all fall into protection scope of the present invention.

Claims (6)

1. a kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology, which is characterized in that including video acquisition mould Block, Smoke Detection module, personal identification module, abnormity early warning module, alarm and monitoring center, the video acquisition module Quantity be it is multiple, be separately mounted to each position and dormitory building exterior circumferential inside dormitory building, the Smoke Detection module Quantity be it is multiple, be separately mounted to each position inside dormitory building;
The video acquisition module acquires the video of dormitory building inside and outside in real time and is sent to the personal identification module, the people Member's identification module is analyzed received video frame by frame, to judge whether people occur in video, if there is then identifying appearance People identity, once the personnel of identity occurs can not identifying in discovery, the personal identification module is to the abnormity early warning module An information warning is fed back, the image of stranger person occurs in the abnormity early warning module statistics, and by these graphic collections, by institute There is the image of classification to be sent to the monitoring center in real time;
Smog information in the Smoke Detection module detection dormitory building everywhere, once detect that there are smog, institutes in some region It states abnormity early warning module and determines the position that fire occurs also according to the position where the Smoke Detection module, then according to The recognition result of personal identification module judges that whether have can not within a period of time before fire generation for position that fire occurs The personnel of identification identity occurred, if it is, controlling the alarm issues alarm, and warning message were sent to the prison Control center.
2. the campus dormitory building safety defense monitoring system based on intelligent monitoring technology as described in claim 1, which is characterized in that institute It states personal identification module and color conversion is carried out to the picture frame in received video, color image is converted into grayscale image, then The edge pixel point for extracting all objects in grayscale image using Canny edge detection algorithm to grayscale image, by edge pixel point The figure of line composition is compared with the people's graphics template prestored, with determine in image whether presence of people, if it is present Identify the identity of people.
3. the campus dormitory building safety defense monitoring system based on intelligent monitoring technology as described in claim 1, which is characterized in that body It when part identification, is preferentially identified according to the face in image, if face is not present in image, uses noise statistics first The robust method for tracking target of characteristic mismatch is tracked the target in picture frame, in tracing process in acquired image frames Then gait feature carries out Gait Recognition according to the gait feature in the sample and picture frame in sample database, to determine in image People identity, and when existing simultaneously face and gait feature in the picture, by face, gait feature and specific personnel's surname Name is bound.
4. the campus dormitory building safety defense monitoring system based on intelligent monitoring technology as described in claim 1, which is characterized in that also Including animal identification module and periodic feedback module, the video that the video acquisition module acquires dormitory building inside and outside in real time is concurrent It send to the animal identification module, the animal identification module is analyzed received video frame by frame, to judge to be in video It is no inhuman animal occur, if there is then identifying the title of the animal of appearance and using the robust target of noise statistics mismatch Tracking is tracked the motion track of animal, will also chase after while the title is fed back to the periodic feedback module The animal track that track arrives is for statistical analysis, obtains the close quarters of animal appearance, and the periodic feedback module receives described dynamic After the animal name and close quarters of object identification module feedback, by a period of time by the number of each animal name, appearance with And the close quarters classification occurred, corresponding disposition is generated according to preset rule and is suggested, disposition is suggested to be sent to institute State monitoring center.
5. the campus dormitory building safety defense monitoring system based on intelligent monitoring technology as claimed in claim 4, which is characterized in that institute It states animal identification module and color conversion is carried out to the picture frame in received video, color image is converted into grayscale image, then The edge pixel point for extracting all objects in grayscale image using Canny edge detection algorithm to grayscale image, by edge pixel point The figure of line composition is compared with the animals graphics template prestored, to determine in image with the presence or absence of animals graphics template table The animal shown, if it is present the animal name identified to the periodic feedback module feedback.
6. the campus dormitory building safety defense monitoring system based on intelligent monitoring technology as claimed in claim 4, which is characterized in that also Including data storage cell, the data storage cell be used to store the video that the video acquisition module obtains, it is described periodically The classification image and warning message for disposing suggestion, the abnormity early warning module feedback of feedback module feedback.
CN201811480556.XA 2018-12-05 2018-12-05 A kind of campus dormitory building safety defense monitoring system based on intelligent monitoring technology Pending CN109493555A (en)

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CN110032967A (en) * 2019-04-10 2019-07-19 深圳市万睿智能科技有限公司 A method of trailing personnel are identified under the current scene of more people
CN110363893A (en) * 2019-07-09 2019-10-22 汉王智联(武汉)科技有限公司 A kind of dormitory based on recognition of face is gone to bed abnormal data statistical method and system
CN110472517A (en) * 2019-07-24 2019-11-19 广东校园卫士网络科技有限责任公司 A kind of autonomous type campus visitor captures and analysis management method
CN111127824A (en) * 2019-09-17 2020-05-08 中国联合网络通信集团有限公司 Early warning method, device and system
CN111209814A (en) * 2019-12-27 2020-05-29 广东德融汇科技有限公司 Face recognition campus area early warning method and system for K12 education stage
CN111553264A (en) * 2020-04-27 2020-08-18 中国科学技术大学先进技术研究院 Campus non-safety behavior detection and early warning method suitable for primary and secondary school students
CN111739248A (en) * 2020-06-11 2020-10-02 湖北美和易思教育科技有限公司 Artificial intelligent Internet of things security system and control method
CN111754714A (en) * 2020-07-08 2020-10-09 南阳师范学院 Security monitoring system and monitoring method thereof
CN111783530A (en) * 2020-05-26 2020-10-16 武汉盛元鑫博软件有限公司 Safety system and method for monitoring and identifying behaviors in restricted area
CN112132045A (en) * 2020-09-24 2020-12-25 天津锋物科技有限公司 Community personnel abnormal behavior monitoring scheme based on computer vision
CN112634559A (en) * 2020-11-25 2021-04-09 珠海格力电器股份有限公司 Intelligent household emergency alarm system and method based on pedestrian re-identification
CN113470302A (en) * 2021-07-03 2021-10-01 深圳市上源艺术设计有限公司 Intelligent security management method and system based on Internet of things and storage medium
CN115550609A (en) * 2022-09-19 2022-12-30 上海永天科技股份有限公司 Building Internet of things monitoring system capable of realizing automatic adaptation
CN116886874A (en) * 2023-08-11 2023-10-13 广东盈香生态园有限公司 Ecological garden security monitoring and early warning data acquisition method and system

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CN110032967A (en) * 2019-04-10 2019-07-19 深圳市万睿智能科技有限公司 A method of trailing personnel are identified under the current scene of more people
CN110363893A (en) * 2019-07-09 2019-10-22 汉王智联(武汉)科技有限公司 A kind of dormitory based on recognition of face is gone to bed abnormal data statistical method and system
CN110472517A (en) * 2019-07-24 2019-11-19 广东校园卫士网络科技有限责任公司 A kind of autonomous type campus visitor captures and analysis management method
CN111127824A (en) * 2019-09-17 2020-05-08 中国联合网络通信集团有限公司 Early warning method, device and system
CN111209814A (en) * 2019-12-27 2020-05-29 广东德融汇科技有限公司 Face recognition campus area early warning method and system for K12 education stage
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Application publication date: 20190319