CN113507589A - Safety monitoring device based on artificial intelligence - Google Patents
Safety monitoring device based on artificial intelligence Download PDFInfo
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- CN113507589A CN113507589A CN202110634582.9A CN202110634582A CN113507589A CN 113507589 A CN113507589 A CN 113507589A CN 202110634582 A CN202110634582 A CN 202110634582A CN 113507589 A CN113507589 A CN 113507589A
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 31
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims description 76
- 230000002159 abnormal effect Effects 0.000 claims description 54
- 230000036544 posture Effects 0.000 claims description 38
- 238000000605 extraction Methods 0.000 claims description 26
- 238000009434 installation Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 4
- 230000001276 controlling effect Effects 0.000 description 5
- 230000001105 regulatory effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process 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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
Abstract
The invention discloses a safety monitoring device based on artificial intelligence, which relates to the field of safety monitoring devices and aims at solving the problems that the conventional safety monitoring device is too mechanical, cannot alarm and stop a security event in real time and is difficult to effectively avoid loss. The system has the characteristics of high intelligent degree, capability of effectively predicting the upcoming security event, capability of alarming to stop in time, great improvement on the intelligent degree of the device, and effective reduction of risk loss.
Description
Technical Field
The invention relates to the field of safety monitoring devices, in particular to a safety monitoring device based on artificial intelligence.
Background
The monitoring system is one of the most applied systems in security systems, the construction site monitoring system suitable for the market is a handheld video communication device, video monitoring is the mainstream at present, along with the development of electronic technology, some monitoring devices appear in the market, and bring convenience to people, but the monitoring devices generally need to be monitored by special people in real time, for example, a camera and a display device are used for observing a monitored place.
However, the monitoring devices on the market generally record events occurring at that time through monitoring shooting of real-time scenes, but even if security events occur, the events are difficult to find and stop, and generally survey the calling of monitoring videos after the events, so that most of the loss of security at the time can not be avoided, even if the loss can be finally changed at will after the events, the intelligent degree is low, and the security events are inconveniently and timely stopped. Therefore, safety monitoring devices based on artificial intelligence are proposed.
Disclosure of Invention
The vehicle-mounted intelligent current consumption control system provided by the invention solves the problems that the existing safety monitoring device is too mechanical, cannot alarm and stop security events in real time, and is difficult to effectively avoid loss.
In order to achieve the purpose, the invention adopts the following technical scheme:
safety monitoring device based on artificial intelligence, including safety monitoring terminal, safety monitoring terminal is connected with monitoring information record system and supervisory equipment control system respectively, monitoring information record system is connected with surveillance video repository and the big database of internet, surveillance video repository and the big database of internet are connected with the video extraction system, the video extraction system is connected with the video analytic system, the video analytic system is connected with safe unusual analytic system, the unusual analytic system of installation is connected with unusual video main staff face identification system, unusual video main staff gesture identification system, unusual video personnel produce period identification system and unusual video personnel appearance cycle identification system, unusual video main staff face identification system, unusual video main staff gesture identification system, unusual video personnel produce period identification system and unusual video personnel appearance cycle identification system are connected with safe monitoring terminal An abnormal extraction system, wherein the safety abnormal extraction system is connected with an abnormal video comparison system, the abnormal video comparison system is connected with a real-time video main person face recognition system, a real-time video main person posture recognition system, a real-time video person generation time interval recognition system and a real-time video person appearance period recognition system, the abnormal video comparison system is connected with an abnormal discrimination module, the abnormal discrimination module is connected with a grading alarm module and a monitoring equipment regulation and control system, the monitoring equipment regulating and controlling system is connected with a monitoring equipment control system, the monitoring equipment control system is connected with a real-time video analyzing system, the real-time video analysis system is connected with a real-time video main person face recognition system, a real-time video main person posture recognition system, a real-time video person generation time interval recognition system and a real-time video person appearance period recognition system.
Preferably, the safety anomaly extraction system is connected with a face analysis module, a posture analysis module, a time period analysis module and a period analysis module and used for analyzing the face, the posture, the appearance time period and the appearance period of the personnel in the video, and the anomaly video comparison system is connected with a face comparison module, a posture comparison module, a time period comparison module and a period comparison module and used for comparing the face, the posture, the appearance time period and the appearance period of the personnel in the video.
Preferably, the monitoring information recording system is used for recording monitoring information, the monitoring equipment control system is used for controlling the monitoring equipment, and the internet database and the monitoring video repository are respectively used for recording videos with security risks in the internet and recording monitoring videos.
Preferably, the video extraction system is used for extracting videos, the video analysis system is used for analyzing the extracted videos, and the safety anomaly analysis system is used for analyzing videos with security risks.
Preferably, the abnormal video main person face recognition system, the abnormal video main person posture recognition system, the abnormal video person generation time period recognition system and the abnormal video person occurrence period recognition system are used for recognizing the person face, the posture, the video generation time and the person occurrence period in the abnormal video.
Preferably, the security anomaly extraction system is used for extracting videos of security time, the anomaly video comparison system is used for comparing videos monitored in real time with the extracted videos, the anomaly judgment module is used for judging anomalies, the grading alarm module is used for grading sudden impact, and the monitoring setting regulation and control module is used for regulating and controlling monitoring setting.
Preferably, the real-time video analysis system is used for analyzing the monitored real-time video, and the real-time video main person face recognition system, the real-time video main person posture recognition system, the real-time video person generation time period recognition system and the real-time video person occurrence period recognition system are used for recognizing the person face, the posture, the video generation time and the person occurrence period in the real-time monitored video.
Compared with the prior art, the invention has the beneficial effects that:
the video information base of the security event can be effectively expanded by respectively recording videos with security risks in the Internet and monitoring videos through the Internet database and the monitoring video repository, and simultaneously, the system can be used for identifying the faces, postures and video generation time of people in abnormal videos and the periods of people in the videos through the abnormal video main person face identification system, the abnormal video main person posture identification system, the abnormal video person generation time period identification system and the abnormal video person occurrence period identification system, so that the system can automatically expand the judgment efficiency of the occurrence of the security time, and then can be used for analyzing monitored real-time videos through the real-time video analysis system, the real-time video main person face identification system, the real-time video main person posture identification system, the monitoring video database, the video information base and the monitoring video information base, The real-time video personnel generation time interval recognition system and the real-time video personnel appearance period recognition system respectively recognize the human faces, postures and video generation time of personnel in the video monitored in real time and the periods of the personnel appearing in the video, then the safety abnormity extraction system and the abnormity video comparison system are used for comparing information of possible security protection time, then dangerous alarm can be given through the analysis alarm module, and when the monitoring device reaches a monitoring dead angle, regulation and control can be carried out through the monitoring equipment regulation and control system.
Make this system have intelligent degree high, can effectually predict upcoming security protection incident, and then can report to the police in order in time to prevent, great improvement the intelligent degree of device, effectual with the characteristics that risk loss reduces.
Drawings
Fig. 1 is a system diagram of an artificial intelligence based security monitoring device of the present invention.
Fig. 2 is a system diagram of a security anomaly extraction system of the artificial intelligence based security monitoring device of the present invention.
Fig. 3 is a system diagram of an abnormal video comparison system of the safety monitoring device based on artificial intelligence according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-3, the safety monitoring device based on artificial intelligence comprises a safety monitoring terminal, the safety monitoring terminal is respectively connected with a monitoring information recording system and a monitoring equipment control system, the monitoring information recording system is connected with a monitoring video repository and an internet big database, the monitoring video repository and the internet big database are connected with a video extraction system, the video extraction system is connected with a video analysis system, the video analysis system is connected with a safety abnormity analysis system, the installation abnormity analysis system is connected with an abnormal video main staff face recognition system, an abnormal video main staff posture recognition system, an abnormal video staff generation period recognition system and an abnormal video staff occurrence period recognition system, the abnormal video main staff face recognition system, the abnormal video main staff posture recognition system, the abnormal video staff generation period recognition system and the abnormal video staff occurrence period recognition system are connected with a safety abnormity extraction system The system comprises a safety anomaly extraction system, an anomaly video comparison system, a real-time video main person face recognition system, a real-time video main person posture recognition system, a real-time video person generation period recognition system and a real-time video person appearance period recognition system, an anomaly video comparison system, an anomaly judgment module, a grading alarm module and a monitoring equipment regulation and control system, wherein the monitoring equipment regulation and control system is connected with a monitoring equipment control system, the monitoring equipment control system is connected with a real-time video analysis system, the real-time video analysis system is connected with the real-time video main person face recognition system, the real-time video main person posture recognition system, the real-time video person generation period recognition system and the real-time video person appearance period recognition system.
In this embodiment, the security anomaly extraction system is connected with a face analysis module, an attitude analysis module, a time period analysis module and a period analysis module for analyzing the face, attitude, appearance time period and appearance period of the person in the video, and the anomaly video comparison system is connected with a face comparison module, an attitude comparison module, a time period comparison module and a period comparison module for comparing the face, attitude, appearance time period and appearance period of the person in the video.
In this embodiment, the monitoring information recording system is configured to record monitoring information, the monitoring device control system is configured to control a monitoring device, and the internet database and the monitoring video repository are respectively configured to receive and record videos that present security risks in the internet and monitor videos.
In this embodiment, the video extraction system is configured to extract a video, the video analysis system is configured to analyze the extracted video, and the security anomaly analysis system is configured to analyze a video where security risks occur.
In the embodiment, the face recognition system of the main person in the abnormal video, the posture recognition system of the main person in the abnormal video, the generation time interval recognition system of the person in the abnormal video and the occurrence period recognition system of the person in the abnormal video are used for recognizing the face, the posture, the video generation time and the occurrence period of the person in the abnormal video.
In the embodiment, the security anomaly extraction system is used for extracting videos of security time, the anomaly video comparison system is used for comparing videos monitored in real time with the extracted videos, the anomaly judgment module is used for judging anomalies, the grading alarm module is used for grading sudden impact, and the monitoring setting regulation and control module is used for regulating and controlling monitoring setting.
In this embodiment, the real-time video analysis system is configured to analyze a monitored real-time video, and the real-time video principal person face recognition system, the real-time video principal person posture recognition system, the real-time video person generation period recognition system, and the real-time video person occurrence period recognition system are configured to recognize a person face, a posture, a video generation time, and a person occurrence period in the real-time monitored video.
The working principle is as follows: when the video monitoring system is used, monitoring information is recorded through the monitoring information recording system, the monitoring equipment control system is used for controlling monitoring equipment, the Internet database and the monitoring video repository can respectively record videos with security risks in the Internet and the monitoring videos can be recorded to effectively expand the video information base with security events, the video extraction system can extract videos in the Internet database and the monitoring video repository, the video analysis system is used for analyzing the extracted videos, the safety abnormity analysis system is used for analyzing the videos with security risks, and meanwhile, the abnormal video main person face recognition system, the abnormal video main person posture recognition system, the abnormal video person generation time period recognition system and the abnormal video person appearance period recognition system can be used for recognizing person faces, person faces and person appearance periods in abnormal videos, The posture, the video generation time and the period of the personnel appearing in the video are identified, so that the system can automatically expand the judgment efficiency of the occurrence of the security time, then a real-time video analysis system can be used for analyzing the monitored real-time video, a real-time video main personnel face identification system, a real-time video main personnel posture identification system, a real-time video personnel generation time period identification system and a real-time video personnel appearance period identification system respectively identify the faces, the postures and the video generation time of the personnel in the video monitored in real time and the period of the personnel appearing in the video, further compare the information of the possible security time through a safety abnormity extraction system and an abnormal video comparison system, then the dangerous condition can be alarmed through an analysis alarm module, and the monitoring device can be regulated and controlled through a monitoring equipment regulation and control system when reaching the monitoring dead angle, the grading alarm module can send out alarms in different grades after comparing the same number of terms, and the more the same number of terms, the higher the alarm grade.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. The safety monitoring device based on artificial intelligence comprises a safety monitoring terminal, wherein the safety monitoring terminal is respectively connected with a monitoring information recording system and a monitoring equipment control system, the monitoring information recording system is connected with a monitoring video repository and an Internet big database, and the safety monitoring device is characterized in that the monitoring video repository and the Internet big database are connected with a video extraction system, the video extraction system is connected with a video analysis system, the video analysis system is connected with a safety abnormity analysis system, the installation abnormity analysis system is connected with an abnormal video main person face recognition system, an abnormal video main person posture recognition system, an abnormal video person generation time period recognition system and an abnormal video person appearance period recognition system, the abnormal video main person face recognition system, the abnormal video main person posture recognition system, the abnormal video extraction system and the video analysis system are connected with a video analysis system, and the video analysis system is connected with a video analysis system, and a video analysis system is connected with a video analysis system and a video analysis system, The abnormal video personnel generation period identification system and the abnormal video personnel appearance period identification system are connected with a safety abnormality extraction system, the safety abnormality extraction system is connected with an abnormal video comparison system, the abnormal video comparison system is connected with a real-time video main personnel face identification system, a real-time video main personnel posture identification system, a real-time video personnel generation period identification system and a real-time video personnel appearance period identification system, the abnormal video comparison system is connected with an abnormality discrimination module, the abnormality discrimination module is connected with a grading alarm module and a monitoring equipment regulation and control system, the monitoring equipment regulation and control system is connected with a monitoring equipment control system, the monitoring equipment control system is connected with a real-time video analysis system, and the real-time video analysis system is connected with a real-time video main personnel face identification system, a real-time video main personnel posture identification system, a real-time video monitoring equipment control system, a real-time video analysis system, a real-time video main personnel face identification system, a real-time video monitoring equipment control system, a real-time video monitoring system, a real-time video monitoring system, a monitoring system, the system comprises a real-time video personnel generation time interval recognition system and a real-time video personnel appearance period recognition system.
2. The artificial intelligence based safety monitoring device according to claim 1, wherein the safety anomaly extraction system is connected with a face analysis module, a posture analysis module, a time interval analysis module and a period analysis module for analyzing the face, posture, appearance time interval and appearance period of the person in the video, and the anomaly video comparison system is connected with a face comparison module, a posture comparison module, a time interval comparison module and a period comparison module for comparing the face, posture, appearance time interval and appearance period of the person in the video.
3. The artificial intelligence based security monitoring device according to claim 1, wherein the monitoring information recording system is configured to record monitoring information, the monitoring device control system is configured to control a monitoring device, and the internet database and the monitoring video repository are respectively configured to receive videos that present security risks in the internet and receive monitoring videos.
4. The artificial intelligence based safety monitoring device according to claim 1, wherein the video extraction system is configured to extract videos, the video analysis system is configured to analyze the extracted videos, and the safety anomaly analysis system is configured to analyze videos that are dangerous for security protection.
5. The artificial intelligence based security monitoring device according to claim 1, wherein the abnormal video main person face recognition system, the abnormal video main person posture recognition system, the abnormal video person generation period recognition system and the abnormal video person occurrence period recognition system are used for recognizing person faces, postures, video generation time and periods of persons occurring in the video in the abnormal video.
6. The artificial intelligence based safety monitoring device according to claim 1, wherein the safety anomaly extraction system is configured to extract videos of occurrence of security time, the anomaly video comparison system is configured to compare videos monitored in real time with the extracted videos, the anomaly identification module is configured to identify anomalies, the classification alarm module is configured to perform classification sudden impact, and the monitoring setting regulation and control module is configured to regulate and control monitoring setting.
7. The artificial intelligence based security monitoring device of claim 1, wherein the real-time video analysis system is configured to analyze a monitored real-time video, and the real-time video principal person face recognition system, the real-time video principal person posture recognition system, the real-time video person generation period recognition system, and the real-time video person occurrence period recognition system are configured to recognize a person face, a posture, a video generation time, and a person occurrence period in the real-time monitored video.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020138762A1 (en) * | 2000-12-01 | 2002-09-26 | Horne Donald R. | Management of log archival and reporting for data network security systems |
| US20140313330A1 (en) * | 2013-04-19 | 2014-10-23 | James Carey | Video identification and analytical recognition system |
| CN107483889A (en) * | 2017-08-24 | 2017-12-15 | 北京融通智慧科技有限公司 | The tunnel monitoring system of wisdom building site control platform |
| CN107633644A (en) * | 2017-09-30 | 2018-01-26 | 河南职业技术学院 | A kind of computer based safety-protection system |
| US20190246071A1 (en) * | 2018-02-07 | 2019-08-08 | Osram Sylvania Inc. | Building Monitoring System |
| CN110110707A (en) * | 2019-05-24 | 2019-08-09 | 苏州闪驰数控系统集成有限公司 | Artificial intelligence CNN, LSTM neural network dynamic identifying system |
| CN111131771A (en) * | 2019-12-12 | 2020-05-08 | 中国科学院深圳先进技术研究院 | Video monitoring system |
| CN111402532A (en) * | 2020-03-26 | 2020-07-10 | 海南鸿达盛创网络信息科技有限公司 | Comprehensive security video management control system |
| CN111885360A (en) * | 2020-07-31 | 2020-11-03 | 贵州东冠科技有限公司 | Intelligent monitoring system for block chain production workshop |
-
2021
- 2021-06-08 CN CN202110634582.9A patent/CN113507589A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020138762A1 (en) * | 2000-12-01 | 2002-09-26 | Horne Donald R. | Management of log archival and reporting for data network security systems |
| US20140313330A1 (en) * | 2013-04-19 | 2014-10-23 | James Carey | Video identification and analytical recognition system |
| CN107483889A (en) * | 2017-08-24 | 2017-12-15 | 北京融通智慧科技有限公司 | The tunnel monitoring system of wisdom building site control platform |
| CN107633644A (en) * | 2017-09-30 | 2018-01-26 | 河南职业技术学院 | A kind of computer based safety-protection system |
| US20190246071A1 (en) * | 2018-02-07 | 2019-08-08 | Osram Sylvania Inc. | Building Monitoring System |
| CN110110707A (en) * | 2019-05-24 | 2019-08-09 | 苏州闪驰数控系统集成有限公司 | Artificial intelligence CNN, LSTM neural network dynamic identifying system |
| CN111131771A (en) * | 2019-12-12 | 2020-05-08 | 中国科学院深圳先进技术研究院 | Video monitoring system |
| CN111402532A (en) * | 2020-03-26 | 2020-07-10 | 海南鸿达盛创网络信息科技有限公司 | Comprehensive security video management control system |
| CN111885360A (en) * | 2020-07-31 | 2020-11-03 | 贵州东冠科技有限公司 | Intelligent monitoring system for block chain production workshop |
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