CN115762030A - Big data and artificial intelligence security monitoring system - Google Patents
Big data and artificial intelligence security monitoring system Download PDFInfo
- Publication number
- CN115762030A CN115762030A CN202211490100.8A CN202211490100A CN115762030A CN 115762030 A CN115762030 A CN 115762030A CN 202211490100 A CN202211490100 A CN 202211490100A CN 115762030 A CN115762030 A CN 115762030A
- Authority
- CN
- China
- Prior art keywords
- module
- face
- monitoring
- voice
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Alarm Systems (AREA)
Abstract
The invention discloses a security monitoring system with big data and artificial intelligence, belonging to the technical field of security monitoring, comprising: the invention relates to a monitoring system for monitoring the video of a monitoring system, which comprises an image monitoring module, a sound monitoring module and a central processing unit, wherein the image monitoring module is used for judging whether images in a monitoring video have suspicious personnel and suspicious scenes or not, the sound monitoring module is used for judging whether voices in the monitoring video have suspicious sounds or not, the image monitoring module is used for judging whether images in the monitoring video have the suspicious personnel and the suspicious scenes or not, the sound monitoring module is used for judging whether voices in the monitoring video have the suspicious sounds or not, and a manual module is used for contacting with workers, so that the workers know the conditions and quickly arrive at the site, and the workers are warned by the warning module.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to a security monitoring system with big data and artificial intelligence.
Background
The security monitoring system is an independent and complete system formed by transmitting video signals in a closed loop by using optical fibers, coaxial cables or microwaves, displaying and recording images, can reflect a monitored object in real time, vividly and truly, can replace manual work to monitor for a long time in a severe environment, and records the video signals through a video recorder. The video security monitoring system is an electronic system or a network which utilizes a video detection technology and monitors a fortification area and displays and records field images in real time.
Although the security monitoring system can replace manual work to monitor for a long time, the current security monitoring system cannot judge the monitored scene like manual work, for example, judge whether a fire disaster, a car accident and the like occur in the scene, which results in that things with potential safety hazards cannot be judged, and thus the warning effect cannot be achieved. Therefore, the security monitoring system with big data and artificial intelligence is invented.
Disclosure of Invention
The invention is provided in view of the above and/or the problems existing in the existing security monitoring system with big data and artificial intelligence.
Therefore, an object of the present invention is to provide a security monitoring system with big data and artificial intelligence, which can solve the above-mentioned problems.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
the utility model provides a big data and artificial intelligence's security protection monitored control system, it includes:
the image monitoring module is used for judging whether suspicious personnel and suspicious scenes exist in the images in the monitoring video;
the voice monitoring module is used for judging whether suspicious voice exists in voice in the monitoring video;
a central processing unit;
the manual module is used for contacting the working personnel so that the working personnel can know the situation and quickly arrive at the site;
the warning module is used for warning personnel;
the image monitoring module is connected with the sound monitoring module, the sound monitoring module is connected with the central processing unit, the central processing unit is connected with the artificial module, and the artificial module is connected with the warning module.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the image monitoring module includes:
the image acquisition module is used for acquiring images in the monitoring video;
the face acquisition module is used for acquiring a face picture in the image acquired by the image acquisition module;
the face storage module is used for storing face images of criminals;
the public security big database is used for updating the face image of the criminal issued in the public security system into the face storage module in real time;
the face comparison module is used for comparing the data acquired by the face acquisition module with the data stored by the face storage module;
the image acquisition module is connected with the face acquisition module, the face acquisition module is connected with the face comparison module, the face comparison module is connected with the face storage module, the face storage module is connected with the public security big database, and the face comparison module is connected with the central processing unit.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the image monitoring module further comprises:
the dynamic acquisition module is used for acquiring a dynamic image in the image acquired by the image acquisition module;
the scene data storage module is used for storing various dynamic images with potential safety hazards;
the database is used for updating the dynamic images which are published in the big data and have potential safety hazards into the scene data storage module in real time;
the action comparison module is used for comparing the data acquired by the dynamic acquisition module with the data stored by the scene data storage module;
the image acquisition module is connected with the dynamic acquisition module, the dynamic acquisition module is connected with the action comparison module, the action comparison module is connected with the scene data storage module, the scene data storage module is connected with the database, and the action comparison module is connected with the central processing unit.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the sound monitoring module includes:
the voice acquisition module is used for acquiring voice in the monitoring video;
the voice recognition module is used for recognizing the voice collected by the voice collection module;
the character conversion module is used for converting the voice recognized by the voice recognition module into characters;
the character storage module is used for storing various characters with potential safety hazards;
and the character comparison module is used for comparing the data converted by the character conversion module with the data stored by the character storage module.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the voice acquisition module is connected with the voice recognition module, the voice recognition module is connected with the character conversion module, the character conversion module is connected with the character comparison module, the character comparison module is connected with the character storage module, and the character comparison module is connected with the central processing unit.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the manual module comprises:
the personnel information storage module is used for storing information of workers on duty;
the personnel information acquisition module is used for acquiring the information stored by the personnel information storage module;
the communication module is used for transmitting the suspicious data monitored by the image monitoring module and the sound monitoring module;
and (4) a terminal.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the central processing unit is connected with the personnel information acquisition module, the personnel information acquisition module is connected with the personnel information storage module, the personnel information acquisition module is connected with the communication module, and the communication module is connected with the terminal.
As an optimal scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the warning module includes:
the alarm module is used for alarming;
the data storage module is used for storing various reminding sounds;
and the voice reminding module is used for playing the data stored in the data storage module.
As a preferred scheme of the big data and artificial intelligence security monitoring system, the invention comprises the following steps: the alarm module is connected with the central processing unit, the voice reminding module is connected with the central processing unit, and the voice reminding module is connected with the data storage module.
Compared with the prior art:
whether there are suspicious personnel and suspicious scene through the image in the image monitoring module judgement surveillance video, whether there is suspicious sound through the pronunciation in the sound monitoring module judgement surveillance video, contact the staff through artifical module, so that the staff knows the condition and arrive the scene fast, warn personnel through warning module, have the problem that current security protection monitored control system can not judge the scene that keeps watch on like the manual work, thereby can improve the security greatly, and still can improve the effect of control greatly.
Drawings
FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a schematic flow diagram of a manual module of the present invention;
FIG. 3 is a schematic flow chart of a warning module according to the present invention.
In the figure: the system comprises an image monitoring module 10, an image acquisition module 11, a human face acquisition module 12, a human face comparison module 13, a human face storage module 14, a public security big database 15, a dynamic acquisition module 16, an action comparison module 17, a scene data storage module 18, a database 19, a sound monitoring module 20, a voice acquisition module 21, a voice recognition module 22, a character conversion module 23, a character comparison module 24, a character storage module 25, a central processing unit 30, a manual module 40, a personnel information acquisition module 41, a personnel information storage module 42, a communication module 43, a terminal 44, a warning module 50, an alarm module 51, a voice reminding module 52 and a data storage module 53.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a security monitoring system with big data and artificial intelligence, please refer to fig. 1-3, comprising: the system comprises an image monitoring module 10, a sound monitoring module 20, a central processing unit 30 and a manual module 40, wherein the image monitoring module 10 is used for judging whether suspicious personnel and suspicious scenes exist in images in a monitoring video or not, the voice monitoring module 20 is used for judging whether suspicious sounds exist in voices in the monitoring video or not, the manual module is used for contacting workers so that the workers can know the situation and rapidly arrive at the site, and a warning module 50 is used for warning the workers;
the image monitoring module 10 is connected with the sound monitoring module 20, the sound monitoring module 20 is connected with the central processing unit 30, the central processing unit 30 is connected with the manual module 40, and the manual module 40 is connected with the warning module 50.
The image monitoring module 10 includes: an image acquisition module 11, configured to acquire an image in a monitoring video, a face acquisition module 12, configured to acquire a face picture in the image acquired by the image acquisition module 11, a face storage module 14, configured to store a face image of a criminal, a public security big database 15, configured to update the face image of the criminal issued in a public security system into the face storage module 14 in real time, a face comparison module 13, configured to compare data acquired by the face acquisition module 12 with data stored in the face storage module 14, a dynamic acquisition module 16, configured to acquire a dynamic image in the image acquired by the image acquisition module 11, a scene data storage module 18, configured to store various dynamic images with potential safety hazards (such as dynamic images of fighting, fire, and traffic accident), a database 19, configured to update the dynamic image with potential safety hazards issued in the big data into the scene data storage module 18 in real time, an action comparison module 17, configured to compare data acquired by the dynamic acquisition module 16 with data stored in the scene data storage module 18;
the image acquisition module 11 is connected with the face acquisition module 12, the face acquisition module 12 is connected with the face comparison module 13, the face comparison module 13 is connected with the face storage module 14, the face storage module 14 is connected with the public security big database 15, the face comparison module 13 is connected with the central processing unit 30, the image acquisition module 11 is connected with the dynamic acquisition module 16, the dynamic acquisition module 16 is connected with the action comparison module 17, the action comparison module 17 is connected with the scene data storage module 18, the scene data storage module 18 is connected with the database 19, and the action comparison module 17 is connected with the central processing unit 30;
the working principle is as follows: the method comprises the steps that images in a monitoring video are collected through an image collecting module 11, after the images are collected, a face picture in the images collected by the image collecting module 11 is obtained through a face obtaining module 12, after the images are obtained, data obtained through the face obtaining module 12 are compared with data stored in a face storage module 14 through a face comparison module 13, if the data obtained through the face obtaining module 12 are compared through a central processing unit 30 and exist in the data stored in the face storage module 14, a worker is contacted through a manual module 40, and an alarm is given through an alarm module 51;
the dynamic image in the image collected by the image collection module 11 is obtained by the dynamic acquisition module 16, after the dynamic image is obtained, the data obtained by the dynamic acquisition module 16 is compared with the data stored in the scene data storage module 18 by the action comparison module 17, if the data obtained by the dynamic acquisition module 16 is compared with the data stored in the scene data storage module 18 by the central processing unit 30, the worker is contacted by the manual module 40, and the warning module 50 warns the worker.
The sound monitoring module 20 includes: a voice acquisition module 21, a voice recognition module 22, a voice and text conversion module 23 for recognizing the voice and text collected by the voice acquisition module 21, a text storage module 25 for converting the voice recognized by the voice recognition module 22 into text and text, a text comparison module 24 for storing various text with potential safety hazards (such as life saving, fire catching, etc.), and comparing the data converted by the text conversion module 23 with the data stored by the text storage module 25;
the voice acquisition module 21 is connected with the voice recognition module 22, the voice recognition module 22 is connected with the character conversion module 23, the character conversion module 23 is connected with the character comparison module 24, the character comparison module 24 is connected with the character storage module 25, and the character comparison module 24 is connected with the central processing unit 30;
the working principle is as follows: gather the pronunciation in the surveillance video through pronunciation collection module 21, after gathering, the pronunciation that gathers through speech recognition module 22 discernment pronunciation collection module 21, after the discernment, convert the pronunciation that speech recognition module 22 discerned into the characters through word conversion module 23, after the conversion, compare the data that word conversion module 23 converted with the data that word storage module 25 stored through word comparison module 24, if exist in the data that word storage module 25 stored through central processing unit 30 comparing the data that word conversion module 23 converted, then can contact the staff through artifical module 40, and warn through warning module 50.
The manual module 40 includes: a personnel information storage module 42 for storing information of working personnel, a personnel information acquisition module 41 for acquiring information stored by the personnel information storage module 42, a communication module 43 for transmitting suspicious data monitored by the image monitoring module 10 and the sound monitoring module 20, and a terminal 44.
The central processing unit 30 is connected with a personnel information acquisition module 41, the personnel information acquisition module 41 is connected with a personnel information storage module 42, the personnel information acquisition module 41 is connected with a communication module 43, and the communication module 43 is connected with a terminal 44;
the working principle is as follows: the information stored in the personnel information storage module 42 is obtained by the personnel information obtaining module 41, and after the information is obtained, the suspicious data monitored by the image monitoring module 10 and the sound monitoring module 20 are transmitted to the terminal 44 by the communication module 43.
The warning module 50 includes: an alarm module 51, which is used for alarming, a data storage module 53, which is used for storing various reminding sounds (such as the sounds of fire, car accidents and the like occurring ahead), and a voice reminding module 52, which is used for playing the data stored in the data storage module 53;
the alarm module 51 is connected with the central processing unit 30, the voice reminding module 52 is connected with the central processing unit 30, and the voice reminding module 52 is connected with the data storage module 53.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (9)
1. The utility model provides a big data and artificial intelligence's security protection monitored control system which characterized in that includes:
the image monitoring module (10) is used for judging whether suspicious people and suspicious scenes exist in images in the monitoring video;
the voice monitoring module (20) is used for judging whether suspicious voice exists in voice in the monitoring video;
a central processing unit (30);
a manual module (40) for contacting the staff to let the staff know the situation and quickly arrive at the site;
the warning module (50) is used for warning personnel;
wherein, concretely:
the image monitoring module (10) is connected with the sound monitoring module (20), the sound monitoring module (20) is connected with the central processing unit (30), the central processing unit (30) is connected with the manual module (40), and the manual module (40) is connected with the warning module (50).
2. The big data and artificial intelligence security monitoring system according to claim 1, wherein the image monitoring module (10) comprises:
the image acquisition module (11) is used for acquiring images in the monitoring video;
the face acquisition module (12) is used for acquiring a face picture in the image acquired by the image acquisition module (11);
the face storage module (14) is used for storing face images of criminals;
the public security big database (15) is used for updating the face image of the criminal issued in the public security system into the face storage module (14) in real time;
the face comparison module (13) is used for comparing the data acquired by the face acquisition module (12) with the data stored by the face storage module (14);
wherein, concretely:
the image acquisition module (11) is connected with the face acquisition module (12), the face acquisition module (12) is connected with the face comparison module (13), the face comparison module (13) is connected with the face storage module (14), the face storage module (14) is connected with the public security big database (15), and the face comparison module (13) is connected with the central processing unit (30).
3. The big data and artificial intelligence security monitoring system according to claim 2, wherein the image monitoring module (10) further comprises:
the dynamic acquisition module (16) is used for acquiring a dynamic image in the image acquired by the image acquisition module (11);
the scene data storage module (18) is used for storing various dynamic images with potential safety hazards;
the database (19) is used for updating the dynamic images which are released from the big data and have potential safety hazards into the scene data storage module (18) in real time;
the action comparison module (17) is used for comparing the data acquired by the dynamic acquisition module (16) with the data stored by the scene data storage module (18);
wherein, concretely:
the image acquisition module (11) is connected with the dynamic acquisition module (16), the dynamic acquisition module (16) is connected with the action comparison module (17), the action comparison module (17) is connected with the scene data storage module (18), the scene data storage module (18) is connected with the database (19), and the action comparison module (17) is connected with the central processing unit (30).
4. The big data and artificial intelligence security monitoring system according to claim 1, wherein the sound monitoring module (20) comprises:
the voice acquisition module (21) is used for acquiring voice in the monitoring video;
the voice recognition module (22) is used for recognizing the voice collected by the voice collection module (21);
a character conversion module (23) for converting the voice recognized by the voice recognition module (22) into characters;
the character storage module (25) is used for storing various characters with potential safety hazards;
and the character comparison module (24) is used for comparing the data converted by the character conversion module (23) with the data stored by the character storage module (25).
5. The big data and artificial intelligence security monitoring system according to claim 4, wherein the voice collecting module (21) is connected with the voice recognition module (22), the voice recognition module (22) is connected with the text conversion module (23), the text conversion module (23) is connected with the text comparison module (24), the text comparison module (24) is connected with the text storage module (25), and the text comparison module (24) is connected with the central processing unit (30).
6. The big data and artificial intelligence security monitoring system according to claim 1, wherein the artificial module (40) comprises:
the personnel information storage module (42) is used for storing the information of the working personnel;
a personnel information acquisition module (41) for acquiring information stored by the personnel information storage module (42);
the communication module (43) is used for transmitting suspicious data monitored by the image monitoring module (10) and the sound monitoring module (20);
and a terminal (44).
7. The big data and artificial intelligence security monitoring system according to claim 6, wherein the central processing unit (30) is connected with the personnel information obtaining module (41), the personnel information obtaining module (41) is connected with the personnel information storage module (42), the personnel information obtaining module (41) is connected with the communication module (43), and the communication module (43) is connected with the terminal (44).
8. The big data and artificial intelligence security monitoring system according to claim 1, wherein the alarm module (50) comprises:
the alarm module (51) is used for alarming;
the data storage module (53) is used for storing the sound of various reminders;
and the voice reminding module (52) is used for playing the data stored in the data storage module (53).
9. The big data and artificial intelligence security monitoring system according to claim 8, wherein the alarm module (51) is connected with the central processing unit (30), the voice prompt module (52) is connected with the central processing unit (30), and the voice prompt module (52) is connected with the data storage module (53).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211490100.8A CN115762030A (en) | 2022-11-25 | 2022-11-25 | Big data and artificial intelligence security monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211490100.8A CN115762030A (en) | 2022-11-25 | 2022-11-25 | Big data and artificial intelligence security monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115762030A true CN115762030A (en) | 2023-03-07 |
Family
ID=85337904
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211490100.8A Pending CN115762030A (en) | 2022-11-25 | 2022-11-25 | Big data and artificial intelligence security monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115762030A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118075511A (en) * | 2024-04-19 | 2024-05-24 | 深圳市艾科维达科技有限公司 | Intelligent camera monitoring system based on Internet of things |
-
2022
- 2022-11-25 CN CN202211490100.8A patent/CN115762030A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118075511A (en) * | 2024-04-19 | 2024-05-24 | 深圳市艾科维达科技有限公司 | Intelligent camera monitoring system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108574830A (en) | Intelligent voice control monitoring system | |
| KR20170084657A (en) | System and method for generating narrative report based on video recognition and event trancking | |
| CN110047272B (en) | A kind of intelligent transportation pedestrian behavior monitoring and alarming system based on big data | |
| CN113450532A (en) | Active potential safety hazard early warning system and identification method thereof | |
| CN112785803A (en) | Monitoring system based on Internet of things | |
| CN115762030A (en) | Big data and artificial intelligence security monitoring system | |
| CN110166734A (en) | A kind of Intelligence In Baogang Kindergarten monitoring method and system | |
| CN110930632B (en) | Early warning system based on artificial intelligence | |
| CN208638498U (en) | Intelligent voice control monitoring system | |
| CN112785812B (en) | Subway interval protective airtight door monitoring system | |
| CN110675585A (en) | Exhibition safety control system | |
| CN112686130B (en) | Wisdom fishing boat supervision decision-making system | |
| CN113327404A (en) | Post fatigue state monitoring and warning system for air traffic controller | |
| CN113112744A (en) | Security management method and device, electronic equipment and storage medium | |
| CN111462442A (en) | Intelligent visual detection system and method for cable tunnel | |
| CN112488888A (en) | Wisdom campus safety early warning system based on thing networking and big data technology | |
| CN111820880A (en) | Campus overlord early warning system and method | |
| CN217305948U (en) | Firework detection monitoring system based on Internet of things + AI | |
| CN100483471C (en) | Signalling system with imaging sensor | |
| CN116246401A (en) | Monitoring system for community public area management | |
| CN210667061U (en) | Campus infrastructure potential safety hazard detection system based on DSP | |
| CN214652802U (en) | System for recognizing unfair elevator taking behavior of elevator passengers | |
| CN114757562A (en) | Safety management and control system | |
| CN114202738A (en) | Power grid monitoring method, device and equipment based on edge calculation and artificial intelligence | |
| CN112804492A (en) | Communication prompting method and device for electronic cat eye |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |