CN115767017A - Wisdom sentry monitored control system - Google Patents
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- CN115767017A CN115767017A CN202211374784.5A CN202211374784A CN115767017A CN 115767017 A CN115767017 A CN 115767017A CN 202211374784 A CN202211374784 A CN 202211374784A CN 115767017 A CN115767017 A CN 115767017A
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Abstract
The embodiment of the invention provides an intelligent sentinel monitoring system which is used for monitoring multispectral video images in a monitoring scene, meeting the requirements of emergency and alarm management by utilizing the movement of personnel concerned by multispectral observing and aiming equipment in time, and realizing the functions of day and night 24-hour real-time monitoring, posture real-time monitoring, real-time monitoring of dangerous sources, personnel management, automatic equipment inspection, artificial intelligent AI identification, equipment network safety maintenance, emergency and alarm management, big data analysis and reporting and the like; various gestures of a human body are recognized, such as actions of climbing, holding a tool and the like, and various targets such as people, animals, vehicles, unmanned planes and the like can be monitored simultaneously; the information of environment, personnel and state in the prison is clear at a glance for all conditions of a security area in a comprehensive monitoring room; performing big data analysis on the behavior data of each monitoring person to generate a corresponding personal behavior rule analysis report and prejudge information; through data analysis, weak points such as monitoring time and space are found, and monitoring processing is strengthened.
Description
Technical Field
The embodiment of the invention relates to the technical field of security protection, in particular to an intelligent sentinel monitoring system.
Background
With the increasing development of security video monitoring systems in security management systems, the conventional passive manual monitoring mode cannot meet the requirements of supervision work in new situations, and particularly, the current polling video monitoring mode cannot defend and process sudden malignant events in the first time.
In a traditional security guard management system, the problems that guard post handover is difficult, guard posts are difficult to master on duty, the statistics of personnel and vehicle passing records in and out of a security area is difficult, the efficiency of examiners and vehicles is low, the intelligentized basis of the system is weak, and the security of the security area cannot be guaranteed exist. How to standardize sentry management, ensure the security of sentries and improve the sentry efficiency becomes a key concern of the sentry system in security and protection areas. The traditional sentry on duty is not well butted with intelligent equipment and high and new technologies, so that the problem that due to negligence in duty management at a sentry position, if external personnel and vehicles stay in a security and protection area for too long time, the sentry on duty efficiency is low, and potential safety hazards are easily brought to the security and protection area.
Disclosure of Invention
The embodiment of the invention provides an intelligent sentinel monitoring system, which aims to solve the problems of defects and low working efficiency in the traditional sentinel management in the prior art.
In order to solve the technical problem, the embodiment of the invention provides an intelligent sentinel monitoring system, which comprises a video data acquisition module, an AI identification module and a data analysis module;
the video data acquisition module is used for acquiring real-time video data of a security area;
the AI identification module is used for carrying out AI identification on the real-time video data, wherein the AI identification comprises identification of identity information of monitoring personnel, identification of behavior and gesture of the monitoring personnel and identification of non-personnel targets;
and the data analysis module is used for carrying out data analysis based on the recognition result of the AI recognition module so as to track the same monitoring personnel based on the personnel identity information recognition result, carrying out abnormity recognition and alarm based on the personnel behavior posture recognition result, and tracking the same non-personnel target based on the non-personnel target recognition result.
Preferably, the video data acquisition module includes a network camera arranged at a preset monitoring point in the security area, and the network camera includes one or more of the following: infrared cameras, low-light cameras, two-light cameras, and panoramic cameras;
the preset monitoring points comprise one or more network cameras, and the network cameras of the plurality of preset monitoring points shoot the security area at different angles;
the video data acquisition module further comprises a network switch and a server, and the network cameras of one or more preset monitoring points are connected to the server after being networked through the network switch.
Preferably, the system also comprises a PC control module, wherein the PC control module comprises a UI layer, a business logic layer and a basic service layer; the UI layer is used for being connected with an interactive interface for user interaction, the interactive interface comprises a surrounding monitoring interface, a panoramic monitoring interface and a statistical analysis interface, the business logic layer is used for providing a logic service interface for the UI layer, and the basic service layer is used for providing a core function interface for the business logic layer.
Preferably, the data analysis module is further configured to set activity areas and activity time periods of monitoring personnel and non-personnel targets;
the non-human targets include animals, vehicles, and drones;
with tracking same control personnel based on personnel's identity information recognition result, specifically include:
determining the current position and the current time of a monitoring person in a security area, and if the current time is judged not to be in an activity time period and/or the current position of the monitoring person is not in the activity area, determining the monitoring person as a hazard source and giving an alarm;
after the same non-human target is tracked based on the non-human target identification result, the method specifically comprises the following steps:
determining the current position of each time when a non-monitored person is identified, the first time when the non-monitored person is identified for the first time, and the second time when the non-monitored person is identified for the last time, determining the stay time of the non-monitored person in a security area based on the first time and the second time, and if the current position of any time when the non-monitored person is identified is judged not to be in an active area, and/or the stay time is greater than a preset threshold value, determining that the non-monitored person is a hazard source, and giving an alarm.
Preferably, the personnel behavior and posture recognition comprises limb action recognition and abnormal behavior recognition, and the limb action recognition comprises distress action recognition, fighting action recognition and climbing action recognition; the abnormal behavior recognition comprises mechanical holding behavior recognition and crowd behavior recognition.
Preferably, after the alarm is given, the method further comprises:
and locking the monitoring personnel or non-personnel targets triggering alarm based on the video data acquisition module, and carrying out real-time tracking report on the monitoring personnel or non-personnel targets.
Preferably, the data analysis module is further configured to perform big data analysis on the behavior data of each monitoring person in the security area, generate a corresponding personal behavior rule analysis report, and pre-judge information; and the monitoring time and the monitoring area of each network camera are combined and analyzed to determine whether the monitoring time and the monitoring area are fully covered.
Preferably, the system also comprises a dangerous source monitoring module, wherein the dangerous source monitoring module comprises a plurality of gas sensors, a temperature sensor and a vibration sensor which are arranged in the security area, and the gas sensors are used for detecting gas information at each position in the security area so as to identify toxic and harmful gases and combustible gases; the vibration sensor is arranged on each hardware device in the security area to detect vibration information of each hardware device; the temperature sensor is used for detecting temperature information of each position in the security area.
The intelligent sentinel monitoring system provided by the embodiment of the invention implements multispectral video image monitoring in a monitoring scene, utilizes the movement of personnel concerned by multispectral observing and aiming equipment in time, meets the requirements of emergency and alarm management, and realizes the functions of 24-hour day and night real-time monitoring, posture real-time monitoring, real-time monitoring of hazard sources, personnel management, automatic equipment inspection, artificial intelligent AI identification, equipment network safety maintenance, emergency and alarm management, big data analysis and report and the like; various gestures of a human body are recognized, such as actions of climbing, holding a tool and the like, and various targets such as people, animals, vehicles, unmanned planes and the like can be monitored simultaneously; the information of environment, personnel and state in the prison is clear at a glance for all conditions of a security area in a comprehensive monitoring room; performing big data analysis on the behavior data of each monitoring person to generate a corresponding personal behavior rule analysis report and prejudge information; through data analysis, weak points such as monitoring time and space are found, and monitoring processing is strengthened.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a diagram of a smart sentinel monitoring system architecture according to an embodiment of the present invention;
FIG. 2 is a hardware diagram according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the present application, the term "and/or" is only one kind of association relationship describing an associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" in the embodiments of the present application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, the terms "comprise" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a system, product or apparatus that comprises a list of elements or components is not limited to only those elements or components but may alternatively include other elements or components not expressly listed or inherent to such product or apparatus. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The traditional sentry on duty is not well butted with intelligent equipment and high and new technologies, so that the problem that due to negligence in duty management at a sentry position, if external personnel and vehicles stay in a security and protection area for too long time, the sentry on duty efficiency is low, and potential safety hazards are easily brought to the security and protection area.
Therefore, the embodiment of the invention provides an intelligent sentinel monitoring system which can realize the functions of day and night 24-hour real-time monitoring, attitude real-time monitoring, real-time monitoring of dangerous sources, personnel management, automatic equipment inspection, artificial intelligence AI identification, equipment network safety maintenance, emergency and alarm management, big data analysis and reporting and the like. An intelligent sentinel monitoring system according to an embodiment of the present invention will be described with reference to the accompanying drawings.
Fig. 1 is a diagram illustrating an intelligent sentinel monitoring system, which can be applied to a system in which a prison sentinel has just been closed, according to an embodiment of the present invention, and includes a video data acquisition module, an AI identification module, and a data analysis module;
the video data acquisition module is used for acquiring real-time video data of a security area; the video data acquisition module comprises a network camera arranged at a preset monitoring point in a security area, wherein the network camera comprises one or more of the following components: the system comprises an infrared camera, a low-light camera, a double-light camera and a panoramic camera, wherein the preset monitoring points comprise one or more, and the network cameras of the plurality of preset monitoring points shoot the security area at different angles; the video data acquisition module further comprises a network switch and a server, and the network cameras of one or more preset monitoring points are connected to the server after being networked by the network switch. Monitoring at multiple angles to realize 3D space positioning of personnel in a scene; and the encryption level management of personnel is realized. Various targets such as people, animals, vehicles, unmanned planes and the like can be monitored simultaneously, and the targets are identified, tracked and positioned; more than or equal to 16 targets can be tracked and monitored simultaneously; the same target can be tracked across cameras, and the target detection time is less than or equal to 1s; the identification monitoring range is larger than 200 meters.
In the embodiment, based on the video data acquisition module, multispectral video image frame rate is more than or equal to 25Hz monitoring is carried out in a monitoring scene, all-weather full-time-domain and all-region observation is carried out on important places such as prisons and key targets of detention houses, a blind area is not formed in a visual angle, darkness under a lamp is avoided, and a sound pickup is used for carrying out voice monitoring on the monitoring scene.
The AI identification module is used for carrying out AI identification on the real-time video data, wherein the AI identification comprises identification of identity information of monitoring personnel, identification of behavior and gesture of the monitoring personnel and identification of non-personnel targets;
the data analysis module is used for carrying out data analysis based on the recognition result of the AI recognition module, tracking the same monitoring personnel based on the personnel identity information recognition result, carrying out abnormity recognition and alarm based on the personnel behavior and posture recognition result, and tracking the same non-personnel target based on the non-personnel target recognition result.
In the embodiment, real-time video data is recognized based on an AI algorithm, a latest human function intelligent deep learning algorithm is adopted to recognize human body behaviors and gestures, such as actions of climbing, holding a mechanical tool and the like, and the gesture real-time monitoring is performed when the misjudgment rate is less than or equal to 1 (misjudgment is caused by personnel action errors and the like). Identifying the personnel by using features such as looks, heights, body types, clothes and the like; performing real-time algorithm recognition and analysis on behaviors for sound and light alarm functions of intrusion, boundary crossing and the like, automatically alarming abnormal behaviors, and linking a sound and light alarm system, wherein the false alarm rate is less than or equal to 5 percent (false alarm); monitoring abnormal information is automatically sent to a supervisor. The multispectral observing and aiming equipment is used for timely paying attention to the movement of personnel, and the requirements of emergency and alarm management are met. Through digital twin reconstruction of data information, environment, personnel and state information in the prison are clear at a glance to all conditions of the prison in a comprehensive monitoring room; performing big data analysis on the behavior data of each monitoring person to generate a corresponding personal behavior rule analysis report and prejudge information; through data analysis, weak points such as monitoring time and space are found, and monitoring processing is strengthened. The method comprises the steps of information high-interaction sharing, internet of things real-time information sensing and service data intelligent calculation and analysis. The system can perform accident early warning, checking of the surrounding conditions of the accident, photographing, video storage and recording, emergency decision assistance, emergency task guidance and the like.
On the basis of the above embodiment, as a preferred implementation, the system further comprises a PC control module, wherein the PC control module comprises a UI layer, a business logic layer and a basic service layer; the UI layer is used for connecting an interactive interface for user interaction, the interactive interface comprises a boundary monitoring interface, a panoramic monitoring interface and a statistical analysis interface, and the business logic layer is used for providing a logic service interface for the UI layer for calling; and the basic service layer is used for providing a core function interface for the business logic layer to be called. The boundary monitoring interface realizes the display of data such as real-time monitoring, alarming, data analysis and the like; the panoramic monitoring interface realizes 360-degree panoramic monitoring, and can traverse and patrol all scenes in a monitoring area through setting a periodic patrol mode, so that each link for a prison and a detention house can be comprehensively controlled; the statistical analysis interface is an integrated large data analysis platform, and is a comprehensive informatization platform for collecting, producing, analyzing, applying and other services to form a data center, so that the problems of mutual independence, multi-source heterogeneous data, dispersed data distribution, prominent 'information island' phenomenon, incapability of realizing data sharing and the like in the prior art are solved, the data of each service system is uniformly summarized, analyzed and utilized, and the current increasingly complex field service informatization requirement is met. And forming a visual three-dimensional image based on 3D modeling, and performing real-time imaging on the video without dead angles.
On the basis of the above embodiment, as a preferred implementation manner, the data analysis module is further configured to set activity areas and activity time periods of monitoring personnel and non-personnel targets;
the non-human targets include animals, vehicles, and drones;
with tracking same control personnel based on personnel's identity information recognition result, specifically include:
determining the current position and the current time of a monitoring person in a security area, and if the current time is judged not to be in an activity time period and/or the current position of the monitoring person is not in an activity area, determining the monitoring person as a hazard source and giving an alarm;
after the same non-human target is tracked based on the non-human target identification result, the method specifically comprises the following steps:
determining the current position of each time when a non-monitored person is identified, the first time when the non-monitored person is identified for the first time, and the second time when the non-monitored person is identified for the last time, determining the stay time of the non-monitored person in a security area based on the first time and the second time, and if the current position of any time when the non-monitored person is identified is judged not to be in an active area, and/or the stay time is greater than a preset threshold value, determining that the non-monitored person is a hazard source, and giving an alarm.
On the basis of the above embodiment, as a preferred implementation manner, the personnel behavior gesture recognition includes limb action recognition and abnormal behavior recognition, and the limb action recognition includes distress action recognition, fighting action recognition and climbing action recognition; the abnormal behavior recognition comprises mechanical holding behavior recognition and crowd behavior recognition.
On the basis of the above embodiment, as a preferred implementation manner, after the alarm is given, the method further includes:
and locking the monitoring personnel or non-personnel targets triggering alarm based on the video data acquisition module, and carrying out real-time tracking report on the monitoring personnel or non-personnel targets.
On the basis of the above embodiment, as a preferred implementation manner, the data analysis module is further configured to perform big data analysis on behavior data of each monitoring person in the security area, generate a corresponding personal behavior rule analysis report, and prejudge information; and the monitoring time and the monitoring area of each network camera are combined and analyzed to determine whether the monitoring time and the monitoring area are fully covered.
On the basis of the above embodiment, as a preferred implementation manner, the system further comprises a hazard source monitoring module for monitoring the hazard source in the scene in real time, and the time delay of the alarm reaction of the hazard source is found to be less than 1 second. The hazard source monitoring module comprises a plurality of gas sensors, a temperature sensor and a vibration sensor which are arranged in a security area, wherein the gas sensors are used for detecting gas information at each position in the security area so as to identify toxic and harmful gases and combustible gases; the vibration sensor is arranged on each hardware device in the security area to detect vibration information of each hardware device; the temperature sensor is used for detecting temperature information of each position in the security area.
In summary, the intelligent sentinel monitoring system provided by the embodiment of the invention implements multispectral video image monitoring in a monitoring scene, utilizes the movement of personnel concerned by multispectral observing and aiming equipment in time to meet the requirements of emergency and alarm management, and implements the functions of day and night 24-hour real-time monitoring, attitude real-time monitoring, real-time monitoring of hazard sources, personnel management, automatic equipment inspection, artificial intelligent AI identification, equipment network safety maintenance, emergency and alarm management, big data analysis and reporting and the like; various gestures of a human body are recognized, such as actions of climbing, holding a tool and the like, and various targets such as people, animals, vehicles, unmanned planes and the like can be monitored simultaneously; the information of environment, personnel and state in the prison is clear at a glance for all conditions of a security area in a comprehensive monitoring room; performing big data analysis on the behavior data of each monitoring person to generate a corresponding personal behavior rule analysis report and prejudge information; through data analysis, weak points such as monitoring time and space are found, and monitoring processing is strengthened.
The embodiments of the present invention can be combined arbitrarily to achieve different technical effects.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the present application are generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others.
One of ordinary skill in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, and when executed, may include the processes of the above method embodiments. And the aforementioned storage medium includes: various media capable of storing program codes, such as ROM or RAM, magnetic or optical disks, etc.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An intelligent sentinel monitoring system is characterized by comprising a video data acquisition module, an AI identification module and a data analysis module;
the video data acquisition module is used for acquiring real-time video data of a security area;
the AI identification module is used for carrying out AI identification on the real-time video data, wherein the AI identification comprises identification of identity information of monitoring personnel, identification of behavior and gesture of the monitoring personnel and identification of non-personnel targets;
the data analysis module is used for carrying out data analysis based on the recognition result of the AI recognition module, tracking the same monitoring personnel based on the personnel identity information recognition result, carrying out abnormity recognition and alarm based on the personnel behavior and posture recognition result, and tracking the same non-personnel target based on the non-personnel target recognition result.
2. The intelligent sentinel monitoring system according to claim 1, wherein the video data acquisition module comprises a web camera disposed at a predetermined monitoring point in the security area, the web camera comprising one or more of: infrared cameras, low-light cameras, dual-light cameras, and panoramic cameras;
the preset monitoring points comprise one or more network cameras, and the network cameras of the plurality of preset monitoring points shoot the security area at different angles;
the video data acquisition module further comprises a network switch and a server, and the network cameras of one or more preset monitoring points are connected to the server after being networked through the network switch.
3. The intelligent sentinel monitoring system according to claim 1, further comprising a PC control module comprising a UI layer, a business logic layer and a basic service layer; the UI layer is used for being connected with an interactive interface for user interaction, the interactive interface comprises a boundary monitoring interface, a panoramic monitoring interface and a statistical analysis interface, the business logic layer is used for providing a logic service interface for the UI layer, and the basic service layer is used for providing a core function interface for the business logic layer.
4. The intelligent sentinel monitoring system of claim 1, wherein the data analysis module is further configured to set activity areas for monitoring personnel, non-personnel targets, and activity time periods;
the non-human targets include animals, vehicles, and drones;
with tracking same control personnel based on personnel's identity information recognition result, specifically include:
determining the current position and the current time of the monitoring personnel in the security area, and alarming if the current time is judged not to be in the activity time period and/or the current position of the monitoring personnel is not in the activity area;
after the same non-human target is tracked based on the non-human target identification result, the method specifically comprises the following steps:
determining the current position when the non-monitoring person is identified each time, the first time when the non-monitoring person is identified for the first time, and the second time when the non-monitoring person is identified for the last time, determining the stay time of the non-monitoring person in the security area based on the first time and the second time, and alarming if the current position when the non-monitoring person is identified at any time is judged not to be in the activity area, and/or the stay time is larger than a preset threshold value.
5. The intelligent sentinel monitoring system according to claim 1, wherein the personnel behavior gesture recognition includes limb motion recognition and abnormal behavior recognition, the limb motion recognition includes distress motion recognition, fighting motion recognition and climbing motion recognition; the abnormal behavior recognition comprises mechanical holding behavior recognition and crowd behavior recognition.
6. The intelligent sentinel monitoring system of claim 4, further comprising, after alarming:
and locking the monitoring personnel or non-personnel targets triggering alarm based on the video data acquisition module, and carrying out real-time tracking report on the monitoring personnel or non-personnel targets.
7. The intelligent sentinel monitoring system according to claim 2, wherein the data analysis module is further configured to perform big data analysis on behavior data of each monitoring person in the security area, generate a corresponding personal behavior law analysis report, and pre-judge information; and the monitoring time and the monitoring area of each network camera are combined and analyzed to determine whether the monitoring time and the monitoring area are fully covered.
8. The intelligent sentinel monitoring system according to claim 1, further comprising a hazard source monitoring module, the hazard source monitoring module comprising a plurality of gas sensors, temperature sensors, vibration sensors, which are disposed in the security area, the gas sensors being configured to detect gas information at various locations in the security area to identify toxic and harmful gases, combustible gases; the vibration sensor is arranged on each hardware device in the security area to detect vibration information of each hardware device; the temperature sensor is used for detecting temperature information of each position in the security area.
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