CN112153065A - Environment perception information verification system based on artificial intelligence and network security - Google Patents
Environment perception information verification system based on artificial intelligence and network security Download PDFInfo
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses an environment perception information verification system based on artificial intelligence and network security. In the invention, the output end of the network security module is connected with the input end of the information verification module, the output end of the environment monitoring sensor is connected with the input end of the environment sensing module, the output end of the face recognition module is connected with the input end of the environment sensing module, and the output end of the camera module is connected with the input end of the face recognition module; the AI decision module and the artifical decision module cooperation camera module that set up inside the intelligent recognition module can carry out real time monitoring to the position of installing this system, and when the safety accident took place in the environment, the artifical decision module can be timely reports to the police through alarm module, has ensured user's personal safety, has also improved the security of this system simultaneously for what this system can be better is used for people.
Description
Technical Field
The invention belongs to the technical field of information verification, and particularly relates to an environment perception information verification system based on artificial intelligence and network security.
Background
As the physical world is digitized, for example: the requirement for intelligent environment perception in the fields of industrial automation, commerce, civil use and the like is higher and higher, although some similar products or systems exist in the market, the similar products or systems are more or less insufficient, the main problems are that common verification systems do not have a safety protection function, so that people encounter emergency situations when using the system, cannot be timely treated, and meanwhile, the common verification systems are easily attacked by viruses.
Disclosure of Invention
The invention aims to: in order to solve the problems, an environment-aware information verification system based on artificial intelligence and network security is provided.
The technical scheme adopted by the invention is as follows: an environment perception information verification system based on artificial intelligence and network security comprises an environment perception module, an information verification module, an intelligent identification module, a central processing unit, a data output module, a background processing terminal, an environment monitoring sensor, a camera module, a face recognition module, a network security module, an AI judgment module, an artificial judgment module, a man-machine interaction module, a behavior judgment module, an information output module and an alarm module, wherein the output end of the environment perception module is connected with the input end of the information verification module, the output end of the network security module is connected with the input end of the information verification module, the output end of the environment monitoring sensor is connected with the input end of the environment perception module, the output end of the face recognition module is connected with the input end of the environment perception module, and the output end of the camera module is connected with the input end of the face recognition module, the output end of the information verification module is fixedly provided with the input end of the intelligent identification module, the output end of the intelligent identification module is connected with the input end of the central processing unit, the power supply input end of the central processing unit is connected with the power supply output end of the power supply module, the output end of the central processing unit is connected with the input end of the data output module, and the output end of the data output module is connected with the input end of the background processing terminal;
the intelligent identification module is internally provided with the behavior judgment module, the output end of the behavior judgment module is connected with the input end of the AI judgment module, the output end of the behavior judgment module is connected with the input end of the manual judgment module, the output end of the human-computer interaction module is connected with the input end of the manual judgment module, the output end of the manual judgment module is connected with the input end of the information output module, and the output end of the information output module is connected with the input end of the alarm module.
In a preferred embodiment, a temperature sensor, a humidity sensor, a light sensor and a gas detection sensor are arranged inside the environment monitoring sensor, and a bluetooth transmission module is arranged inside each sensor and connected with an internal information receiving end of the environment monitoring sensor.
In a preferred embodiment, a face recognition system is arranged inside the face recognition module, and the face recognition system comprises a face capturing and tracking module, a face recognition comparison module, a face modeling and retrieval module, a real person identification module and an image quality detection module; the human face capturing module detects a human image in an image or a frame of a video stream, separates the human image from a background and automatically stores the human image; the portrait tracking means that a portrait is automatically tracked when moving in the shooting range of a camera by utilizing a portrait capturing technology; the face recognition module is divided into a verification type comparison mode and a search type comparison mode; the verification formula is to compare the captured portrait or the designated portrait with a certain registered portrait in the database to verify whether the portrait is the same person or not; the search-type comparison means searching and searching for whether a specified portrait exists in all the registered portraits in the database.
In a preferred embodiment, a real person identification system arranged inside the face recognition module can identify whether a person in front of the camera is a real person or a photo; thereby preventing the user from using photos for forgery; this technique requires the user to perform facial expression coordination; the detection function of the image quality detection can evaluate the image quality of the photos to be compared and give corresponding suggested values to assist in identification.
In a preferred embodiment, a virus searching and killing module, a cloud virus library upgrading module and a firewall module are arranged inside the network security module, wherein the firewall module is provided with a monitoring firewall which is a new generation product, and the technology actually exceeds the definition of an initial firewall; the monitoring firewall can actively monitor data of each layer in real time, and can effectively judge illegal invasion in each layer on the basis of analyzing the data; meanwhile, the detection type firewall products are generally provided with distributed detectors, and the detectors are arranged in various application servers and nodes of other networks, so that the detection type firewall products not only can detect attacks from the outside of the network, but also have a very strong prevention effect on malicious damage from the inside.
In a preferred embodiment, a wireless information output end is arranged inside the data output module, and a data receiving end and a data storage device are arranged inside the background processing terminal.
In a preferred embodiment, a display screen is disposed inside the human-computer interaction module, and a human-computer interaction device such as a keyboard and a mouse is operated, a pre-input module is disposed inside the AI determination module, and the AI determination module can perform intelligent analysis on behaviors of people photographed by the camera module in an environment.
In a preferred embodiment, the environment-aware information verification system based on artificial intelligence and network security is run by the following steps:
s1, after the power supply module provides the electric energy needed by the whole system, the whole system starts to work, the temperature sensor, the humidity sensor, the light sensor and the gas detection sensor in the environment monitoring sensor start to monitor the environment in which the system is installed in real time, and the transmission module in the environment monitoring sensor inputs the information into the environment sensing module;
s2, when the camera module monitors that a person enters the environment, the camera module starts to start, a face recognition system in the face recognition module starts to compare faces, and after the comparison is passed, data is transmitted to the inside of the information verification module, and when the inside of the information verification module works, the network security module can carry out real-time security monitoring on the information;
s3, after the information verification module passes the verification, the data is led into the central processing unit, the central processing unit sends a verification passing instruction, and the instruction is transmitted to the inside of the background processing terminal through the data output module;
s4, after the inside of the background processing terminal receives the verified instruction, the staff can make further operation;
and S5, when the behavior judgment module identifies and analyzes the data transmitted from the camera module, the AI judgment module and the manual judgment module judge the behavior of the personnel, and if the behavior of the personnel is identified to be over-excited, the information is transmitted to the inside of the alarm module through the information output module to alarm.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. according to the intelligent identification system, the AI judgment module and the manual judgment module arranged in the intelligent identification module are matched with the camera module to monitor the position where the system is installed in real time, and when a safety accident occurs in the environment, the manual judgment module can give an alarm through the alarm module in time, so that the personal safety of a user is guaranteed, meanwhile, the safety of the system is improved, and the system can be better used by people.
2. In the invention, the network security module arranged in the information verification module can check and kill the virus in the information verification module in real time, thereby preventing the virus from invading the information verification module and causing irreversible loss to the internal data of the information verification module, and further increasing the stability and the safety of the system.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
fig. 2 is a block diagram of an internal system of the intelligent recognition module according to the present invention.
The labels in the figure are: the system comprises an environment sensing module, an information verification module, an intelligent identification module, a central processing unit (4), a data output module (5), a background processing terminal (6), an environment monitoring sensor (7), a camera module (8), a face identification module (9), a network security module (10), an AI judgment module (11), a manual judgment module (12), a human-computer interaction module (13), a behavior judgment module (14), a power supply module (15), an alarm module (16) and an information output module (17).
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 do not limit the invention.
Referring to fig. 1-2, an environment sensing information verification system based on artificial intelligence and network security comprises an environment sensing module 1, an information verification module 2, an intelligent identification module 3, a central processing unit 4, a data output module 5, a background processing terminal 6, an environment monitoring sensor 7, a camera module 8, a face recognition module 9, a network security module 10, an AI judgment module 11, an artificial judgment module 12, a human-computer interaction module 13, a behavior judgment module 14, an information output module 17 and an alarm module 16, wherein the output end of the environment sensing module 1 is connected with the input end of the information verification module 2, the output end of the network security module 10 is connected with the input end of the information verification module 2, the network security module 10 is internally provided with a virus searching and killing module, a cloud virus library upgrading module and a firewall module, wherein the firewall module is provided with a monitoring type firewall which is a new generation product, this technique has actually surpassed the original firewall definition; the monitoring firewall can actively monitor data of each layer in real time, and can effectively judge illegal invasion in each layer on the basis of analyzing the data; meanwhile, the detection type firewall product is generally provided with distributed detectors, and the detectors are arranged in various application servers and nodes of other networks, so that the detection type firewall product not only can detect attacks from the outside of the network, but also has a very strong precaution effect on malicious damage from the inside; the output end of the environment monitoring sensor 7 is connected with the input end of the environment sensing module 1, a temperature sensor, a humidity sensor, a light sensor and a gas detection sensor are arranged inside the environment monitoring sensor 7, a Bluetooth transmission module is arranged inside each sensor, and the Bluetooth transmission modules are connected with the internal information receiving end of the environment monitoring sensor 7; the output end of the face recognition module 9 is connected with the input end of the environment sensing module 1, the interior of the environment monitoring sensor 7 is provided with a temperature sensor, a humidity sensor, a light sensor and a gas detection sensor, the interior of each sensor is provided with a Bluetooth transmission module, the Bluetooth transmission module is connected with the internal information receiving end of the environment monitoring sensor 7, and a real person identification system arranged in the face recognition module 9 can identify whether a person in front of the camera is a real person or a photo; thereby preventing the user from using photos for forgery; this technique requires the user to perform facial expression coordination; the detection function of the image quality detection can evaluate the image quality of the photos to be compared and give corresponding suggested values to assist in identification; the output end of the camera module 8 is connected with the input end of the face recognition module 9, the output end of the information verification module 2 is fixedly provided with the input end of the intelligent recognition module 3, the output end of the intelligent recognition module 3 is connected with the input end of the central processing unit 4, the power input end of the central processing unit 4 is connected with the power output end of the power supply module 15, the output end of the central processing unit 4 is connected with the input end of the data output module 5, the output end of the data output module 5 is connected with the input end of the background processing terminal 6, the inside of the data output module 5 is provided with a wireless information output end, and the inside of the background processing;
a behavior judgment module 14 is arranged in the intelligent identification module 3, the output end of the behavior judgment module 14 is connected with the input end of an AI judgment module 11, the output end of the behavior judgment module 14 is connected with the input end of a manual judgment module 12, the output end of a human-computer interaction module 13 is connected with the input end of the manual judgment module 12, a display screen is arranged in the human-computer interaction module 13, human-computer interaction equipment such as a keyboard and a mouse is operated, a pre-input module is arranged in the AI judgment module 11, and the AI judgment module 11 can intelligently analyze the behaviors of people shot by the environment camera module 8; the output end of the manual judgment module 12 is connected with the input end of an information output module 17, and the output end of the information output module 17 is connected with the input end of an alarm module 16.
The environment perception information verification system based on artificial intelligence and network security comprises the following steps during operation:
s1, after the power supply module 15 provides the electric energy needed by the whole system during operation, the whole system starts to work, the temperature sensor, the humidity sensor, the light sensor and the gas detection sensor in the environment monitoring sensor 7 start to monitor the environment in which the system is installed in real time, and meanwhile, the transmission module in the environment monitoring sensor 7 inputs information into the environment sensing module 1;
s2, when the camera module 8 monitors that a person enters the environment, the camera module starts to be started, the face recognition system in the face recognition module 9 starts to compare faces, and after the comparison is passed, the data is transmitted to the inside of the information verification module 2, and when the inside of the information verification module 2 works, the network security module 10 can carry out real-time security monitoring on the faces;
s3, after the information verification module 2 passes the verification, the data is led into the central processing unit 4, the central processing unit 4 sends out a verification passing instruction, and the instruction is transmitted to the inside of the background processing terminal 6 through the data output module 5;
s4, after the inside of the background processing terminal 6 receives the verified instruction, the staff can make further operation;
and S5, when the behavior judgment module 14 identifies and analyzes the data transmitted from the inside of the camera module 8, the AI judgment module 11 and the manual judgment module 12 judge the behavior of the person, and if the behavior of the person is identified to be over-excited, the information output module 17 sends information to the inside of the alarm module 16 to alarm.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides an environment perception information verification system based on artificial intelligence and network security, including environment perception module (1), information verification module (2), intelligent recognition module (3), central processing unit (4), data output module (5), backstage processing terminal (6), environment monitoring sensor (7), camera module (8), face identification module (9), network security module (10), AI decision module (11), artifical decision module (12), human-computer interaction module (13), action decision module (14), power module (15), alarm module (16), its characterized in that: the output end of the environment sensing module (1) is connected with the input end of the information verification module (2), the output end of the network security module (10) is connected with the input end of the information verification module (2), the output end of the environment monitoring sensor (7) is connected with the input end of the environment sensing module (1), the output end of the face recognition module (9) is connected with the input end of the environment sensing module (1), the output end of the camera module (8) is connected with the input end of the face recognition module (9), the output end of the information verification module (2) is fixedly provided with the input end of the intelligent recognition module (3), the output end of the intelligent recognition module (3) is connected with the input end of the central processing unit (4), the power input end of the central processing unit (4) is connected with the power output end of the power supply module (15), the output end of the central processing unit (4) is connected with the input end of the data output module (5), and the output end of the data output module (5) is connected with the input end of the background processing terminal (6);
the intelligent identification module (3) is internally provided with the behavior judgment module (14), the output end of the behavior judgment module (14) is connected with the input end of the AI judgment module (11), the output end of the behavior judgment module (14) is connected with the input end of the manual judgment module (12), the output end of the human-computer interaction module (13) is connected with the input end of the manual judgment module (12), the output end of the manual judgment module (12) is connected with the input end of the information output module (17), and the output end of the information output module (17) is connected with the input end of the alarm module (16).
2. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: the environment monitoring sensor (7) is internally provided with a temperature sensor, a humidity sensor, a light sensor and a gas detection sensor, the inside of each sensor is provided with a Bluetooth transmission module, and the Bluetooth transmission module is connected with the internal information receiving end of the environment monitoring sensor (7).
3. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: a face recognition system is arranged in the face recognition module (9), and the face recognition system comprises a face capturing and tracking module, a face recognition comparison module, a face modeling and retrieval module, a real person identification module and an image quality detection module; the human face capturing module detects a human image in an image or a frame of a video stream, separates the human image from a background and automatically stores the human image; the portrait tracking means that a portrait is automatically tracked when moving in the shooting range of a camera by utilizing a portrait capturing technology; the face recognition module is divided into a verification type comparison mode and a search type comparison mode; the verification formula is to compare the captured portrait or the designated portrait with a certain registered portrait in the database to verify whether the portrait is the same person or not; the search-type comparison means searching and searching for whether a specified portrait exists in all the registered portraits in the database.
4. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 3, wherein: a real person identification system arranged in the face recognition module (9) can identify whether a person in front of the camera is a real person or a photo; thereby preventing the user from using photos for forgery; this technique requires the user to perform facial expression coordination; the detection function of the image quality detection can evaluate the image quality of the photos to be compared and give corresponding suggested values to assist in identification.
5. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: a virus searching and killing module, a cloud virus library upgrading module and a firewall module are arranged inside the network security module (10), wherein the firewall module is provided with a monitoring firewall which is a new-generation product, and the technology actually exceeds the definition of an initial firewall; the monitoring firewall can actively monitor data of each layer in real time, and can effectively judge illegal invasion in each layer on the basis of analyzing the data; meanwhile, the detection type firewall products are generally provided with distributed detectors, and the detectors are arranged in various application servers and nodes of other networks, so that the detection type firewall products not only can detect attacks from the outside of the network, but also have a very strong prevention effect on malicious damage from the inside.
6. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: the data output module (5) is internally provided with a wireless information output end, and the background processing terminal (6) is internally provided with a data receiving end and a data storage device.
7. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: the intelligent monitoring system is characterized in that a display screen is arranged inside the man-machine interaction module (13) for operating man-machine interaction equipment such as a keyboard and a mouse, a pre-input module is arranged inside the AI judgment module (11), and the AI judgment module (11) can intelligently analyze behaviors of people photographed by the camera module (8) in the environment.
8. The context-aware information verification system based on artificial intelligence and network security as claimed in claim 1, wherein: the environment perception information verification system based on artificial intelligence and network security comprises the following steps during operation:
s1, after the power supply module (15) provides the electric energy needed by the operation of the whole system, the whole system starts to work, the temperature sensor, the humidity sensor, the light sensor and the gas detection sensor in the environment monitoring sensor (7) start to monitor the environment in which the system is installed in real time, and meanwhile, the transmission module in the environment monitoring sensor (7) inputs information into the environment sensing module (1);
s2, when the camera module (8) monitors that a person enters the environment, the camera module starts to be started, the face recognition system in the face recognition module (9) starts to compare the face, and after the comparison is passed, the data is transmitted to the inside of the information verification module (2), and when the inside of the information verification module (2) works, the network security module (10) can carry out real-time security monitoring on the face;
s3, after the information verification module (2) passes the verification, the data is led into the central processing unit (4), the central processing unit (4) sends a verification passing instruction, and the instruction is transmitted to the inside of the background processing terminal (6) through the data output module (5);
s4, after the inside of the background processing terminal (6) receives the verified instruction, the staff can make further operation;
s5, when the behavior judgment module (14) identifies and analyzes the data transmitted from the inside of the camera module (8), the AI judgment module (11) and the manual judgment module (12) judge the behavior of the personnel, if the behavior of the personnel is identified to be over-excited, the information is sent to the inside of the alarm module (16) through the information output module (17) to alarm.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112699380A (en) * | 2021-01-14 | 2021-04-23 | 杭州猿宝互联网科技有限公司 | Method for screening high-quality clients to improve wind control efficiency |
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