CN106780250B - Intelligent community security event processing method and system based on Internet of things technology - Google Patents
Intelligent community security event processing method and system based on Internet of things technology Download PDFInfo
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Abstract
The invention discloses a smart community security event processing method and system based on the technology of the Internet of things, which comprises the following steps: the method comprises the steps of collecting access personnel information, community personnel information and monitoring videos, sending alarm information when a user discovers a security incident, triggering emergency measures, determining the time period and the place of the security incident, extracting the access personnel information and the monitoring videos meeting conditions, preprocessing the extracted monitoring videos, recognizing human faces, comparing the access personnel information and the community personnel information, screening and determining the personnel information of suspects of the security incident. Has the advantages that: when a user finds a security event, an alarm message is sent to trigger emergency measures immediately, then the personnel information of coming in and going out and the monitoring video which meet the conditions are automatically extracted, the monitoring video is automatically preprocessed, the human face is identified, the personnel information is compared with the collected personnel information and is screened, and finally the personnel information of the suspect of the security event is determined.
Description
Technical Field
The invention relates to the technical field of safety, in particular to a smart community safety event processing method and system based on the technology of the Internet of things.
Background
The community comprises a certain number of population, a certain region, a certain scale of facilities, a certain characteristic culture and a certain type of organization, and is a social life community formed by people living in a certain region. Residents in cities often live in communities. The public safety of the community influences the personal and property safety of community residents and is very important for the community residents.
Safety incidents influencing public safety in communities occur frequently, such as theft, robbery, intentional property destruction and the like, in the current market, community maintenance public safety generally depends on an access control system, a community camera, a security system and security personnel patrol manually, once a safety incident occurs, the safety incident is processed more manually, the efficiency of manual processing and the response speed to the safety incident are different from person to person, the safety incident is processed untimely often, and once a monitoring video needs to be checked to find out a suspected person of the safety incident, the workload is large, the identity of a person appearing in the monitoring video is difficult to find out, the working difficulty is large, so that the technology for processing the community safety incident in the current market is not automatic enough, the quick response cannot be realized, and the safety incident processing efficiency is low.
Disclosure of Invention
The invention aims to overcome the technical defects, provides a smart community security event processing method and system based on the Internet of things technology, and solves the technical problems that the community security event processing technology in the prior art is not automatic enough, cannot react quickly and is low in efficiency.
In order to achieve the technical purpose, the technical scheme of the invention provides a smart community security event processing method and system based on the technology of the Internet of things.
A smart community security event processing method based on the technology of the Internet of things comprises the following steps:
s1, collecting information of people who come in and go out of a community, wherein the information of people who come in and go out of the community comprises names, face images and detailed information of people who come in and go out of the community, the information of community people is collected and comprises names, face images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are collected;
s2, when a user finds a security incident, an alarm message is sent out, the sent alarm message directly triggers emergency measures, the emergency measures comprise security strengthening and alarm to a public security department, and the security incident is caused by a suspect of the security incident;
s3, extracting security event data: after the emergency measures are triggered, contacting a user who gives an alarm, determining the time period and the place of the occurrence of the safety event, extracting the information of the people coming in and going out in the time period, and extracting the monitoring video of each monitoring point in the time period in a circular area range with the place as the center of a circle and a first set radius as the radius;
s4, analyzing the security event data and obtaining an analysis result:
splicing the surveillance videos extracted in the step S3, identifying and deleting a part of the surveillance video segments without picture change, performing face identification on the deleted surveillance videos by using a computer program, acquiring the face images of the persons appearing in the surveillance videos, comparing the acquired face images with the community person information and the in-out person information extracted in the step S3, acquiring the person information corresponding to the persons appearing in the surveillance videos, and performing twice screening on the acquired person information corresponding to the persons appearing in the surveillance videos to acquire the person information of the suspect in the security incident.
The utility model provides a wisdom community security incident processing system based on internet of things, wherein, includes:
a data acquisition module: the community information acquisition system is used for acquiring information of people entering and leaving the community, wherein the information of people entering and leaving the community comprises names, facial images and detailed information of people entering and leaving the community, the information of community people comprises names, facial images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are acquired;
an alert and emergency action module: the system comprises a user, a safety event management server and a safety event management server, wherein the user sends out an alarm message when finding a safety event, and the sent alarm message directly triggers emergency measures, wherein the emergency measures comprise security enhancement and alarm to a public security department, and the safety event is caused by a suspect of the safety event;
a security event data extraction module: after the emergency measures are triggered, the user who gives an alarm is contacted, the time period and the place of the occurrence of the safety event are determined, the in-and-out personnel information in the time period is extracted, and the monitoring videos of all monitoring points in the time period in a circular area range with the place as the circle center and a first set radius as the radius are extracted;
analysis and analysis results module: the system is used for splicing the surveillance videos extracted from the security event data extraction module, identifying and deleting the part of the surveillance video segments without picture change, carrying out face identification on the deleted surveillance videos by using a computer program, acquiring the face images of the personnel appearing in the surveillance videos, comparing the acquired face images with the community personnel information and the in-out personnel information extracted from the security event data extraction module, acquiring personnel information corresponding to the personnel appearing in the surveillance videos, and screening the personnel information corresponding to the personnel appearing in the acquired surveillance videos twice to obtain the personnel information of the suspect in the security event.
Compared with the prior art, the invention has the beneficial effects that: when a user finds a security incident, an alarm message is sent, the sent alarm message can immediately trigger emergency measures for strengthening security and alarming, after the emergency measures are triggered, collected in-out personnel information and monitoring videos meeting conditions can be automatically extracted, then the monitoring videos are preprocessed, identified by human faces, compared with the collected personnel information and screened by using a computer technology, and finally personnel information of a suspect of the security incident is determined.
Drawings
FIG. 1 is a flow chart of a smart community security event processing method based on Internet of things technology according to the present invention;
FIG. 2 is a block diagram of a smart community security event processing system based on IOT technology;
fig. 3 is a block diagram of an analysis and analysis result module of the smart community security event processing system based on internet of things in fig. 2.
In the drawings: 1. intelligent community security event processing system based on Internet of things technology, 11, data acquisition module, 12, alarm and emergency measure module, 13, security event data extraction module, 14, analysis and analysis result module, 141, video preprocessing unit, 142, personnel information acquisition unit in video, 143, screening and screening result unit, 144 and repeating unit
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, a method for processing security events of an intelligent community based on internet of things technology includes:
s1, collecting information of people who come in and go out of a community, wherein the information of people who come in and go out of the community comprises names, face images and detailed information of people who enter and leave the community, the information of community people comprises names, face images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are collected;
s2, when the user finds the security incident, an alarm message is sent out, the sent alarm message directly triggers emergency measures, the emergency measures comprise security strengthening and alarm to a public security department, and the security incident is caused by a suspect of the security incident;
s3, extracting security event data: after the emergency measures are triggered, a user who gives an alarm is contacted, the time period and the place of the occurrence of the safety event are determined, the information of people coming in and going out in the time period is extracted, and the monitoring videos of all monitoring points in the time period in the circular area range with the place as the circle center and the first set radius as the radius are extracted;
s4, analyzing the security event data and obtaining an analysis result:
splicing the surveillance videos extracted in the step S3, identifying and deleting partial surveillance video segments without picture change, carrying out face identification on the deleted surveillance videos by using a computer program, obtaining face images of people appearing in the surveillance videos, comparing the obtained face images with community personnel information and in-out personnel information extracted in the step S3, obtaining personnel information corresponding to the people appearing in the surveillance videos, and screening the personnel information corresponding to the people appearing in the obtained surveillance videos twice to obtain the personnel information of the suspected persons in the security incidents.
In the method for processing the security event of the smart community based on the internet of things technology, step S1 includes:
the method comprises the following steps that a camera or a camera is used for collecting information of people coming in and going out and facial images included by community personnel information, and monitoring points are uniformly distributed in a community;
the method comprises the steps of collecting information of people coming in and going out at a community entrance and exit, adopting the mode of collecting names to input names of people coming in and going out by themselves, adopting the mode of collecting facial images to take pictures of people coming in and going out, collecting information of detailed information of non-community residents to enter a community, and collecting detailed information of community information to judge whether crime records, occupation and economic conditions exist.
In the method for processing the security event of the smart community based on the internet of things technology, step S2 includes:
the method comprises the steps of strengthening security, informing community entrance and exit to strengthen inspection and informing security personnel to check on site, and giving an alarm to a public security department, wherein the step of sending an alarm message to the closest public security department and recording the occurring security event;
after a safety incident occurs, emergency measures are taken to find out the condition of the safety incident, so that the safe incident suspect is prevented from escaping, and screening of the safe incident suspect is facilitated.
In the method for processing the security event of the smart community based on the internet of things technology, step S3 includes:
determining information of the user who sent the alarm message according to the sent alarm message, and then contacting the user.
In the method for processing the security event of the smart community based on the internet of things technology, step S4 includes:
s41, preprocessing a monitoring video: splicing the monitoring videos extracted in the step S3, and identifying and deleting partial monitoring video clips without picture change;
s42, acquiring personnel information of personnel appearing in the monitoring video:
carrying out face recognition on the deleted monitoring video by using a computer program to obtain face images of people appearing in the monitoring video, comparing the face images of the people appearing in the monitoring video with the community people information and the people coming in and going out information extracted in S3 as the community people information and the people coming in and going out information extracted in S3 contain the face images, and then obtaining the people information corresponding to the people appearing in the monitoring video;
s43, screening and then obtaining personnel information of the suspect of the security incident:
deleting white list personnel information from personnel information corresponding to personnel appearing in the monitoring video, wherein the white list personnel information is preselected from community personnel information, and then manually screening the personnel information corresponding to the personnel appearing in the deleted monitoring video so as to determine the personnel information of the suspect of the security incident;
s44, repeating the operation:
and if the personnel information of the security incident suspect cannot be determined, expanding the time period of the security incident and the first set radius, re-extracting the security incident data, and re-performing the steps S41-S43 until the personnel information of the security incident suspect is determined.
In the method for processing the security event of the smart community based on the internet of things technology, step S41 includes:
in general, the surveillance video extracted in S3 has a large number of video clips without human presence and without variation in screen, such a screen cannot provide useful information, and the part of the surveillance video clip without variation in screen is identified and deleted.
In the method for processing the security event of the smart community based on the internet of things technology, step S43 includes:
the white list personnel information is selected from community personnel information in advance, the residents in the community live for a long time, fixed assets exist in the community, criminal records and any adverse illegal records, personnel with good economic conditions and good quality are not available, the probability of the white list personnel for manufacturing the security incident is extremely low, the white list personnel information is deleted from the personnel information corresponding to the personnel appearing in the monitoring video, the probability of the white list personnel information being used as the suspect of the security incident is eliminated, and the screening range is further narrowed; and manually screening, and performing further investigation under necessary conditions according to the acquired various information to finally determine the personnel information of the suspect of the security incident.
In the method for processing the security event of the smart community based on the internet of things technology, step S44 includes:
if the personnel information of the security incident suspect which does not conform to the personnel information is found after the personnel information is manually screened in the S43, the personnel information range corresponding to the personnel appearing in the surveillance video obtained in the S42 is incorrect, the search range should be expanded, and the personnel information of the security incident suspect is re-screened, so that the time period and the first set radius of the occurrence of the security incident are expanded, the security incident data is re-extracted, and the steps S41-S43 are re-performed until the personnel information of the security incident suspect is determined.
Referring to fig. 2, a smart community security event processing system 1 based on internet of things technology includes:
the data acquisition module 11: the community information acquisition system is used for acquiring information of people entering and leaving the community, wherein the information of people entering and leaving the community comprises names, facial images and detailed information of people entering and leaving the community, the information of the community comprises names, facial images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are acquired;
the alert and emergency action module 12: the system is used for sending out an alarm message when a user finds a security incident, the sent alarm message directly triggers emergency measures, the emergency measures comprise security enhancement and alarm to a public security department, and the security incident is caused by a security incident suspect;
the extraction security event data module 13: after the emergency measures are triggered, the user who gives an alarm is contacted, the time period and the place of the occurrence of the safety event are determined, the information of people coming in and going out in the time period is extracted, and the monitoring videos of all monitoring points in the time period within the circular area range with the place as the circle center and the first set radius as the radius are extracted;
analysis and analysis results module 14: the system is used for splicing the surveillance videos extracted from the security event data extraction module 13, identifying and deleting partial surveillance video segments without picture change, performing face identification on the deleted surveillance videos by using a computer program, acquiring face images of people appearing in the surveillance videos, comparing the acquired face images with community personnel information and in-out personnel information extracted from the security event data extraction module 13, acquiring personnel information corresponding to the people appearing in the surveillance videos, and screening the personnel information corresponding to the people appearing in the acquired surveillance videos twice to obtain the personnel information of the suspect in the security event.
In the intelligent community security event processing system 1 based on the internet of things technology, a data acquisition module 11:
utilize camera or camera to gather the facial image that discrepancy personnel information and community personnel information include, the surveillance point evenly distributed is in the community.
In the intelligent community security event processing system 1 based on the internet of things technology, an alarm and emergency measure module 12:
the method for strengthening security protection comprises the steps of informing community entrance and exit to strengthen inspection and informing security protection personnel to check on site, and the step of giving an alarm to a public security department comprises the steps of sending an alarm message to the public security department closest to the community entrance and recording the occurrence of security events.
In the intelligent community security event processing system 1 based on the internet of things technology, the security event data extraction module 13:
determining information of the user who sent the alarm message according to the sent alarm message, and then contacting the user.
In the system 1 for processing security incidents of smart communities based on the technology of internet of things, the module 14 for analyzing and analyzing results includes:
the video preprocessing unit 141:
splicing the monitoring videos extracted from the security event data extraction module 13, and identifying and deleting partial monitoring video segments without picture change;
the in-video person information acquiring unit 142:
carrying out face recognition on the deleted monitoring video by using a computer program to obtain face images of people appearing in the monitoring video, comparing the face images of the people appearing in the monitoring video with the community people information and the people coming in and going out information extracted from the security event data extraction module 13 because the community people information and the people coming in and going out information extracted from the security event data extraction module 13 contain the face images, and then obtaining the people information corresponding to the people appearing in the monitoring video;
screening and screening results unit 143:
deleting white list personnel information from personnel information corresponding to personnel appearing in the monitoring video, wherein the white list personnel information is preselected from community personnel information, and then manually screening the personnel information corresponding to the personnel appearing in the deleted monitoring video so as to determine the personnel information of the suspect of the security incident;
repeating unit 144:
if the personnel information of the security incident suspect cannot be determined, the time period of the occurrence of the security incident and the first set radius are expanded, the security incident data are re-extracted, and the video preprocessing unit 141, the personnel information acquiring unit 142 in the video and the screening and screening result unit 143 are re-executed until the personnel information of the security incident suspect is determined.
When the intelligent community security event processing method and system based on the Internet of things technology are used, information of people entering and leaving a community is collected, the information of people entering and leaving the community comprises names, face images and detailed information of people entering and leaving the community, the information of community people is collected, the information of community people comprises names, face images and detailed information of all people living in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are collected; when a user finds a security incident, an alarm message is sent out, the sent alarm message directly triggers emergency measures, the emergency measures comprise security enhancement and alarm to a public security department, and the security incident is caused by a security incident suspect; after the emergency measures are triggered, a user who gives an alarm is contacted, the time period and the place of the occurrence of the safety event are determined, the information of people coming in and going out in the time period is extracted, and the monitoring videos of all monitoring points in the time period in the circular area range with the place as the circle center and the first set radius as the radius are extracted; splicing the extracted monitoring videos, identifying and deleting partial monitoring video segments without picture change, carrying out face identification on the deleted monitoring videos by utilizing a computer program, obtaining face images of personnel appearing in the monitoring videos, comparing the obtained face images with community personnel information and extracted in-out personnel information, obtaining personnel information corresponding to the personnel appearing in the monitoring videos, and screening the personnel information corresponding to the personnel appearing in the obtained monitoring videos twice to obtain the personnel information of the suspect in the security incident.
Compared with the prior art, the invention has the beneficial effects that: when a user finds a security incident, an alarm message is sent, the sent alarm message can immediately trigger emergency measures for strengthening security and alarming, after the emergency measures are triggered, collected in-out personnel information and monitoring videos meeting conditions can be automatically extracted, then the monitoring videos are preprocessed, identified by human faces, compared with the collected personnel information and screened by using a computer technology, and finally personnel information of a suspect of the security incident is determined.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (2)
1. A smart community security event processing method based on the Internet of things technology is characterized by comprising the following steps:
s1, collecting information of people who come in and go out of a community, wherein the information of people who come in and go out of the community comprises names, face images and detailed information of people who come in and go out of the community, the information of community people is collected and comprises names, face images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are collected;
s2, when a user finds a security incident, an alarm message is sent out, the sent alarm message directly triggers emergency measures, the emergency measures comprise security strengthening and alarm to a public security department, and the security incident is caused by a suspect of the security incident;
s3, extracting security event data: after the emergency measures are triggered, contacting a user who gives an alarm, determining the time period and the place of the occurrence of the safety event, extracting the information of the people coming in and going out in the time period, and extracting the monitoring video of each monitoring point in the time period in a circular area range with the place as the center of a circle and a first set radius as the radius;
s4, analyzing the security event data and obtaining an analysis result:
step S4 specifically includes:
s41, preprocessing a monitoring video: splicing the monitoring videos extracted in the step S3, and identifying and deleting the monitoring video clips without picture change;
s42, acquiring personnel information appearing in the monitoring video:
performing face recognition on the deleted monitoring video by using a computer program to obtain the face images of the persons appearing in the monitoring video, comparing the face images of the persons appearing in the monitoring video with the community person information and the in-out person information extracted in S3 as the community person information and the in-out person information extracted in S3 contain the face images, and then obtaining the person information corresponding to the persons appearing in the monitoring video;
s43, screening and then obtaining personnel information of the suspect of the security incident:
deleting white list personnel information from personnel information corresponding to personnel appearing in the surveillance video, wherein the white list personnel information is preselected from the community personnel information, and then manually screening the personnel information corresponding to the personnel appearing in the surveillance video after deletion, so as to determine the personnel information of the suspect of the security incident;
s44, repeating the operation:
if the personnel information of the security incident suspect cannot be determined, expanding the time period of the occurrence of the security incident and the first set radius, re-extracting the security incident data, and re-performing the steps S41-S43 until the personnel information of the security incident suspect is determined;
step S1 includes:
acquiring the information of the coming-in and going-out persons and the facial images included by the community information by using a camera or a camera, wherein the monitoring points are uniformly distributed in the community;
step S2 includes:
the method comprises the steps of strengthening security protection, wherein the step of strengthening security protection comprises the steps of informing a community entrance to strengthen inspection and informing security protection personnel to check on site, and the step of giving an alarm to a public security department comprises the steps of sending an alarm message to the closest public security department and recording the occurrence of a security event;
step S3 includes:
and determining the information of the user who sends the alarm message according to the sent alarm message, and then contacting the user.
2. The utility model provides a safety event processing system of wisdom community based on internet of things, its characterized in that includes:
a data acquisition module: the community information acquisition system is used for acquiring information of people entering and leaving the community, wherein the information of people entering and leaving the community comprises names, facial images and detailed information of people entering and leaving the community, the information of community people comprises names, facial images and detailed information of all residents in the community, monitoring points are arranged in the community for real-time monitoring, monitoring videos are generated, and the monitoring videos are acquired;
an alert and emergency action module: the system comprises a user, a safety event management server and a safety event management server, wherein the user sends out an alarm message when finding a safety event, and the sent alarm message directly triggers emergency measures, wherein the emergency measures comprise security enhancement and alarm to a public security department, and the safety event is caused by a suspect of the safety event;
a security event data extraction module: after the emergency measures are triggered, the user who gives an alarm is contacted, the time period and the place of the occurrence of the safety event are determined, the in-and-out personnel information in the time period is extracted, and the monitoring videos of all monitoring points in the time period in a circular area range with the place as the circle center and a first set radius as the radius are extracted;
analysis and analysis results module: the system is used for analyzing the security event data and acquiring an analysis result;
the analysis and analysis result module specifically comprises:
a video preprocessing unit:
splicing the monitoring videos extracted from the security event data extraction module, and identifying and deleting the monitoring video segments without picture change;
the video personnel information acquisition unit:
performing face recognition on the deleted monitoring video by using a computer program to obtain the face images of the persons appearing in the monitoring video, comparing the face images of the persons appearing in the monitoring video with the community person information and the in-out person information extracted from the security event data extraction module as the in-out person information extracted from the community person information and security event data extraction module comprises the face images, and then obtaining the person information corresponding to the persons appearing in the monitoring video;
screening and screening results unit:
deleting white list personnel information from personnel information corresponding to personnel appearing in the surveillance video, wherein the white list personnel information is preselected from the community personnel information, and then manually screening the personnel information corresponding to the personnel appearing in the surveillance video after deletion, so as to determine the personnel information of the suspect of the security incident;
repeating unit:
if the personnel information of the security incident suspect cannot be determined, the time period of the occurrence of the security incident and the first set radius are expanded, the security incident data are re-extracted, and the video preprocessing unit, the personnel information acquiring unit in the video, and the screening and screening result unit are re-executed until the personnel information of the security incident suspect is determined;
a data acquisition module:
acquiring the information of the coming-in and going-out persons and the facial images included by the community information by using a camera or a camera, wherein the monitoring points are uniformly distributed in the community;
an alert and emergency action module:
the method comprises the steps of strengthening security protection, wherein the step of strengthening security protection comprises the steps of informing a community entrance to strengthen inspection and informing security protection personnel to check on site, and the step of giving an alarm to a public security department comprises the steps of sending an alarm message to the closest public security department and recording the occurrence of a security event;
a security event data extraction module:
and determining the information of the user who sends the alarm message according to the sent alarm message, and then contacting the user.
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| CN108052919A (en) * | 2017-12-26 | 2018-05-18 | 北斗七星（重庆）物联网技术有限公司 | A kind of safety-protection system and method based on recognition of face |
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