CN112822444A - Intelligent home security monitoring system and method based on home edge computing - Google Patents
Intelligent home security monitoring system and method based on home edge computing Download PDFInfo
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- CN112822444A CN112822444A CN202110006140.XA CN202110006140A CN112822444A CN 112822444 A CN112822444 A CN 112822444A CN 202110006140 A CN202110006140 A CN 202110006140A CN 112822444 A CN112822444 A CN 112822444A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 110
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012806 monitoring device Methods 0.000 claims abstract description 23
- 238000010219 correlation analysis Methods 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims description 66
- 230000033001 locomotion Effects 0.000 claims description 18
- 238000013135 deep learning Methods 0.000 claims description 13
- 230000000474 nursing effect Effects 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 description 18
- 230000009545 invasion Effects 0.000 description 4
- 238000002372 labelling Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation 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
- G08B13/194—Actuation 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
- G08B13/196—Actuation 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
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Abstract
The invention discloses an intelligent home security monitoring system and method based on home edge computing, and belongs to the technical field of computer vision and artificial intelligence recognition. The intelligent home security monitoring system based on home edge computing comprises a home edge computing platform, a home security monitoring platform and a plurality of video monitoring devices, wherein the home security monitoring platform and the video monitoring devices are based on the home edge computing platform; the video monitoring devices are respectively communicated with the home security monitoring platform, the video monitoring devices collect video monitoring data and transmit the video monitoring data to the home security monitoring platform, and the home security monitoring platform performs correlation analysis on the video monitoring data. The intelligent home security monitoring system based on home edge computing can respond in real time, reduce network transmission cost, protect user privacy and have good popularization and application values.
Description
Technical Field
The invention relates to the technical field of computer vision and artificial intelligence identification, and particularly provides an intelligent home security monitoring system and method based on home edge computing.
Background
In a home environment, on the one hand, the situation that the old and the young child carelessly fall down occurs sometimes, and once the situation that the person falls down occurs, if the person does not find and help in time, the injury to the old and the young child may be aggravated. On the other hand, along with the continuous improvement of the living standard of people, the intelligent level of the safety protection of families is also required to be improved, and the invasion of strangers is prevented. In addition, for the family for raising the pet, when the pet owner goes out, goes on a business trip or travels, the state of the pet at home needs to be known in real time. The requirements on the aspects all provide requirements for video security monitoring and intelligent video analysis and identification in the home environment.
The video monitoring equipment in the industry at present can realize intelligent analysis of acquired video data in single equipment and output monitoring analysis result data of the single video equipment; or the collected video data is transmitted to the cloud end by adopting a cloud end monitoring scheme, and the result data is analyzed and output at the cloud end. However, in the case that a plurality of video monitoring devices are installed in a home environment, on one hand, multi-path video data collected by the plurality of video monitoring devices need to be gathered, and motion track correlation analysis based on the multi-path video data is performed; on the other hand, private data of the home user needs to be protected, the private data is prevented from being uploaded to the cloud as much as possible, and the service capability of storing, analyzing and processing the user data in the home edge environment needs to be provided.
Disclosure of Invention
The technical task of the invention is to provide an intelligent home security monitoring system based on home edge computing, which can respond in real time, reduce network transmission cost and protect user privacy.
The invention further provides an intelligent home security monitoring method based on home edge computing.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent home security monitoring system based on home edge computing comprises a home edge computing platform, a home security monitoring platform and a plurality of video monitoring devices, wherein the home security monitoring platform and the plurality of video monitoring devices are based on the home edge computing platform, and the home edge computing platform provides computing resources, storage resources and network resources; the plurality of video monitoring devices are respectively communicated with the home security monitoring platform, the video monitoring devices collect video monitoring data and transmit the video monitoring data to the home security monitoring platform, and the home security monitoring platform performs correlation analysis on the video monitoring data and performs detection and identification of human body detection, human body tumbling, perimeter intrusion, pet nursing and movement track analysis.
The number of the video monitoring devices can be installed according to the actual needs of the family.
Preferably, the intelligent home security monitoring system based on home edge computing further comprises an alarm notification module, and the alarm notification module is used for carrying out alarm notification on abnormal conditions detected and identified by the home security monitoring platform.
Preferably, the video monitoring devices are respectively communicated with the home security monitoring platform through a wireless network.
This wisdom family security protection monitored control system based on family edge calculates is on family edge calculation platform, and multichannel video image data is gathered in real time to many video monitoring equipment of family environment, through carrying out data aggregation, correlation analysis and detection discernment at family edge environment, and human information, pet information in the home monitoring scope of automatic analysis go out, according to human behavior model analysis discernment human behavior, human and pet movement track of correlation analysis, detect out human tumble and perimeter intrusion event, report to the police and inform the human tumble and perimeter intrusion event that detect out. The human body is correctly and timely found to fall down for rescue, the manual nursing pressure is reduced, and the safety of the old and the children is guaranteed; the invasion of strangers is discovered in time to carry out alarm processing, so that the safety of the family environment is ensured; providing the real-time pet nursing ability.
The invention discloses a smart home security monitoring method based on home edge computing, which is realized based on the smart home security monitoring system based on home edge computing, wherein video monitoring equipment is connected to a home security monitoring platform, multiple paths of video monitoring data are transmitted to the home security monitoring platform to be gathered, the home security monitoring platform performs correlation analysis on the multiple paths of video monitoring data, intelligent detection and identification of human body detection, human body tumbling, perimeter intrusion, pet nursing and movement track analysis are performed, and alarm notification is performed on the discovered abnormal conditions.
Preferably, the home security monitoring platform collects multiple paths of video monitoring data, performs motion track correlation analysis and detection recognition according to a home environment human body detection model, a pet detection model, a human body tumbling detection model and a perimeter intrusion detection model obtained through deep learning training, and performs alarm notification on an analysis event.
Preferably, the content of the multi-channel video monitoring data is intelligently analyzed according to a family environment human body detection model, human body characteristics are detected, and if human body information is identified, video image information containing the human body information is generated.
Preferably, the multi-channel video monitoring data are gathered in a home edge environment, the same human body is identified through human body detection, and human body motion track correlation analysis is performed according to the sequence of the spatial positions of the home environment and the sequence of time.
Preferably, the multi-channel video monitoring data are gathered in the home edge environment, the same pets are identified through pet detection, and the pet motion track correlation analysis is performed according to the spatial position front-back sequence and the time sequence of the home environment.
Compared with the prior art, the intelligent home security monitoring method based on home edge computing has the following outstanding beneficial effects: the intelligent home security monitoring method based on home edge computing can collect multi-channel data of a plurality of video monitoring devices in a home environment for correlation analysis, and on the basis, pet nursing, human body tumbling and perimeter intrusion behavior identification are carried out, so that higher behavior identification accuracy can be provided; the method analyzes and processes data in the family edge environment close to the data source and the user, has the advantages of real-time response, network transmission cost reduction, privacy protection and the like, can meet the requirements of privacy safety, real-time control and the like of the smart family, and has good popularization and application values.
Drawings
FIG. 1 is a topological diagram of an intelligent home security monitoring system based on home edge computing according to the present invention;
FIG. 2 is a flow chart of the intelligent home security monitoring method based on home edge computing according to the present invention;
FIG. 3 is a flowchart of training a home environment human body detection model in the home edge computing-based intelligent home security monitoring method according to the present invention;
FIG. 4 is a flowchart of a home environment pet detection model training process in the home edge computing-based intelligent home security monitoring method of the present invention;
FIG. 5 is a flowchart of a home environment human fall detection model training process in the home edge computing-based intelligent home security monitoring method of the present invention;
FIG. 6 is a flowchart of a home environment perimeter intrusion detection model training process in the home edge computing-based intelligent home security monitoring method of the present invention.
Detailed Description
The intelligent home security monitoring system and method based on home edge computing according to the present invention will be described in detail with reference to the accompanying drawings and embodiments.
Examples
As shown in fig. 1, the intelligent home security monitoring system based on home edge computing of the present invention is built on a home edge computing platform, and includes a home security monitoring platform, three video monitoring devices and an alarm notification module.
The home edge computing platform provides computing resources, storage resources, and network resources.
The three video monitoring devices are respectively communicated with the household safety monitoring platform through a wireless network. The video monitoring equipment collects video monitoring data and transmits the video monitoring data to the home security monitoring platform, the home security monitoring platform performs correlation analysis on the video monitoring data, detection and identification of human body detection, human body falling, perimeter intrusion, pet nursing and movement track analysis are performed, and when an abnormal condition occurs, the alarm notification module performs alarm notification on the abnormal condition detected and identified by the home security monitoring platform.
The intelligent home security monitoring system based on home edge computing is arranged on a home edge computing platform, multiple video monitoring devices in a home environment collect multiple paths of video image data in real time, data aggregation, correlation analysis and detection recognition are carried out in the home edge environment, human body information and pet information in a home monitoring range are automatically analyzed, human body behaviors are analyzed and recognized according to a human body behavior model, human body and pet movement tracks are analyzed in a correlation mode, human body falling and perimeter intrusion events are detected, and alarm notification is carried out on the detected human body falling and perimeter intrusion events. The human body is correctly and timely found to fall down for rescue, the manual nursing pressure is reduced, and the safety of the old and the children is guaranteed; the invasion of strangers is discovered in time to carry out alarm processing, so that the safety of the family environment is ensured; providing the real-time pet nursing ability.
As shown in fig. 2, the intelligent home security monitoring method based on home edge computing of the present invention is implemented based on the intelligent home security monitoring system based on home edge computing of the present invention. The video monitoring equipment is connected to the home security monitoring platform, transmits the multi-channel video monitoring data to the home security monitoring platform for convergence, and the home security monitoring platform performs correlation analysis on the multi-channel video monitoring data, performs intelligent detection and identification of human body detection, human body tumbling, perimeter intrusion, pet nursing and motion trail analysis, and performs alarm notification on the found abnormal conditions.
Specifically, a family environment human body detection algorithm and a pet detection algorithm are trained through a deep learning algorithm training platform, and a family environment human body detection model and a pet detection model are output; training the family environment human body behavior analysis through a deep learning algorithm training platform, and outputting a family environment human body tumble detection model; and training the perimeter intrusion behavior analysis of the home environment through a deep learning algorithm training platform, and outputting a perimeter intrusion detection model of the home environment.
The home security monitoring platform collects multi-channel video image data, transmits the multi-channel video image data to the human body detection unit, and performs intelligent analysis by adopting a home environment human body detection model to perform home environment human body detection; the information is transmitted to a pet detection unit, intelligent analysis is carried out by adopting a household environment pet detection model, and household environment pet detection is carried out; carrying out human motion track correlation analysis on similar human video image information detected by a plurality of video monitoring devices according to the sequence of the spatial positions of the home environment and the sequence of time; detecting human body falling behavior according to the human body falling detection model and detecting perimeter intrusion behavior according to the perimeter intrusion detection model for the detected human body video image information; if the human body falls down or the perimeter invasion event is found, alarm notification is carried out.
The human body detection model deep learning training of 1) is as shown in fig. 3, the home environment human body detection based on deep learning is performed by labeling and training a human body video image sample set acquired in a home environment, and the home environment human body detection model is output.
2) The deep learning training of the pet detection model is as shown in fig. 4, the home environment pet detection based on the deep learning is implemented by labeling and training a pet video image sample set collected in the home environment, and the home environment pet detection model is output.
3) As shown in figure 5, the deep learning training of the human body fall detection model is based on the analysis of the human body behaviors in the family environment of deep learning, the video image sample set containing the human body fall behaviors collected in the family environment is used for labeling and training, and the human body fall detection model in the family environment is output.
4) The deep learning training of the perimeter intrusion detection model is shown in fig. 6, the analysis of the perimeter intrusion behavior of the home environment based on the deep learning is carried out, the labeling and the training are carried out through a video image sample set which is collected in the home environment and contains the perimeter intrusion behavior, and the human body falling detection model of the home environment is output.
5) The video monitoring equipment collects video image information in a home environment, sends the video image information to the human body detection unit, intelligently analyzes the content of the video image according to a human body detection model of the home environment, detects human body characteristics, and generates video image information containing human body information if the human body information is identified.
6) Video monitoring equipment gathers video image information in the home environment, sends to pet detecting element, carries out intelligent analysis to video image's content according to home environment pet detection model, carries out pet characteristic detection, if discerning pet information, generates the video image information who contains pet information.
7) And carrying out human motion track and pet motion track correlation analysis on the same human video image information and pet video image information detected by the plurality of video monitoring devices according to the sequence of the spatial positions of the home environment and the sequence of time.
8) The image information containing the human body is sent to the human body falling behavior detection unit, and the human body behavior is judged according to the human body falling detection model in the family environment by analyzing the image information, so that whether a human body falling event occurs is detected out.
9) And sending image information containing a human body to a perimeter intrusion behavior detection unit, judging human body behaviors according to a home environment perimeter intrusion detection model by analyzing the image information, and detecting whether a perimeter intrusion event occurs or not.
10) If the human body tumble event is detected, a family environment human body tumble alarm is carried out; and if the occurrence of the perimeter intrusion event is detected, performing the perimeter intrusion alarm of the home environment.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (8)
1. The utility model provides an wisdom home security monitored control system based on family edge calculates which characterized in that: the home security monitoring system comprises a home edge computing platform, a home security monitoring platform and a plurality of video monitoring devices, wherein the home security monitoring platform and the plurality of video monitoring devices are based on the home edge computing platform, and the home edge computing platform provides computing resources, storage resources and network resources; the plurality of video monitoring devices are respectively communicated with the home security monitoring platform, the video monitoring devices collect video monitoring data and transmit the video monitoring data to the home security monitoring platform, and the home security monitoring platform performs correlation analysis on the video monitoring data and performs detection and identification of human body detection, human body tumbling, perimeter intrusion, pet nursing and movement track analysis.
2. The intelligent home security monitoring system based on home edge computing of claim 1, wherein: the household security monitoring system further comprises an alarm notification module, and the alarm notification module is used for carrying out alarm notification on abnormal conditions detected and identified by the household security monitoring platform.
3. The intelligent home security monitoring system based on home edge computing of claim 2, wherein: the video monitoring devices are respectively communicated with the home security monitoring platform through a wireless network.
4. An intelligent home security monitoring method based on home edge computing is characterized by comprising the following steps: the method is realized based on any one of the intelligent home security monitoring systems based on home edge computing according to claims 1 to 3, wherein video monitoring equipment is connected to a home security monitoring platform, multiple paths of video monitoring data are transmitted to the home security monitoring platform to be gathered, the home security monitoring platform performs correlation analysis on the multiple paths of video monitoring data, intelligent detection and identification of human body detection, human body tumbling, perimeter intrusion, pet nursing and motion track analysis are performed, and alarm notification is performed on the found abnormal conditions.
5. The intelligent home security monitoring method based on home edge computing as claimed in claim 4, wherein: the home security monitoring platform gathers multi-channel video monitoring data, and performs motion track correlation analysis, detection and identification according to a home environment human body detection model, a pet detection model, a human body tumble detection model and a perimeter intrusion detection model obtained through deep learning training, and performs alarm notification on analysis events.
6. The intelligent home security monitoring method based on home edge computing as claimed in claim 5, wherein: and intelligently analyzing the content of the multi-channel video monitoring data according to the home environment human body detection model, detecting human body characteristics, and generating video image information containing human body information when the human body information is identified.
7. The intelligent home security monitoring method based on home edge computing as claimed in claim 6, wherein: the method comprises the steps of collecting multi-channel video monitoring data in a home edge environment, identifying the same human body through human body detection, and carrying out human body motion track correlation analysis according to the sequence of the spatial positions of the home environment and the sequence of time.
8. The intelligent home security monitoring method based on home edge computing as claimed in claim 7, wherein: the method comprises the steps of gathering multi-channel video monitoring data in a family edge environment, identifying the same pet through pet detection, and carrying out correlation analysis on the motion track of the pet according to the sequence of the spatial position of the family environment and the sequence of time.
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