CN112019806A - System for monitoring and correcting nonstandard behaviors of important post operations by artificial intelligence technology - Google Patents
System for monitoring and correcting nonstandard behaviors of important post operations by artificial intelligence technology Download PDFInfo
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- CN112019806A CN112019806A CN202010775053.6A CN202010775053A CN112019806A CN 112019806 A CN112019806 A CN 112019806A CN 202010775053 A CN202010775053 A CN 202010775053A CN 112019806 A CN112019806 A CN 112019806A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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Abstract
The invention discloses a system for monitoring and correcting the operation non-standard behaviors of important posts by artificial intelligence technology, which comprises a server, wherein the server is connected with a camera, the camera is divided into a collar gun ex-warehouse behavior recognition camera, a wearing recognition and warning behavior recognition camera before loading, a warning behavior recognition camera before getting off a vehicle and a warning behavior recognition camera for accidental parking or other temporary parking, the server is connected with artificial intelligence, the artificial intelligence is connected with the camera through the server and a network, and the server is also connected with a monitoring command center. Compared with the prior art, the invention has the advantages that: the risk probability caused by the occurrence of irregular operation or behavior of workers is reduced; the number and cost of personnel for monitoring and managing the background of the command center are reduced; the management efficiency is improved; standardizing the behavior of special staff; and automatically forming a correction statistical report of the post and the personnel shape.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a monitoring and correcting system for irregular behaviors of important post operations by artificial intelligence technology.
Background
Important key posts in many industries require that each operation of a worker is executed according to an operation flow specification, but a set is as small as hundreds and as many as thousands of people, and every person is required to operate according to the requirement and steps at any time, so that certain difficulty exists.
Disclosure of Invention
The invention aims to solve the technical problem of providing a correction system capable of identifying safe and standard operation of special industries.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: artifical intelligence technique is to the nonstandard behavior monitoring correction system of important post operation, including the server, the camera is connected to the server, the camera divide into and leads rifle behavior identification camera, dress discernment and warning behavior identification camera before the loading, before getting off warning behavior identification camera and unexpected parking or other temporary stopping warning behavior identification cameras, artifical intelligence is connected to the server, artifical intelligence passes through server and internet access camera, the monitoring command center is still connected to the server.
Compared with the prior art, the invention has the advantages that: the risk probability caused by the occurrence of irregular operation or behavior of workers is reduced; the number and cost of personnel for monitoring and managing the background of the command center are reduced; the management efficiency is improved; standardizing the behavior of special staff; and automatically forming a correction statistical report of the post and the personnel shape.
As an improvement, the server and the camera are connected through the Internet of things.
As an improvement, military police training and armed escort gun-holding behavior recognition, service window and bank window and network point bank-counting behavior recognition, transportation and driving behavior recognition of airplanes, ships, rail transit, containers, buses and the like, electric power, communication, hospital and storage post operation behavior recognition, express goods in and out warehouse behavior recognition, wearing recognition and warning law enforcement behavior recognition before loading, warning behavior recognition before getting off and accidental parking or other temporary parking warning behavior recognition, and a square frame is an automatic recognition result.
As an improvement, the artificial intelligence is provided with a safety operation identification model, the safety operation identification model is arranged in a deep learning server, various abnormal behavior and non-standard behavior characteristics are summarized by combining with a deep learning technology based on an image identification principle according to behavior standards of workers in different scenes, which are provided by a using unit, and a self-researched deep learning algorithm is applied to train safety behavior data and construct a model base, so that intelligent identification and judgment of safety behaviors are realized.
Drawings
FIG. 1 is an operation interface for recognizing the ex-warehouse behavior of a gun catching of an important post operation non-standard behavior monitoring and correcting system by artificial intelligence technology.
FIG. 2 is an operation interface of wearing recognition and alert behavior recognition before loading of the system for monitoring and correcting the operation non-standard behavior of an important post by the artificial intelligence technology.
FIG. 3 is an operation interface for identifying the behavior of an alert before alighting of an important post operation non-standard behavior monitoring and correcting system by the artificial intelligence technology.
FIG. 4 is an identification operation interface of the unexpected parking or other temporary parking alert behavior of the behavior monitoring and correcting system for the operation non-standard behavior of the important posts by the artificial intelligence technology.
FIG. 5 is a diagram illustrating the operation of the artificial intelligence technique in identifying the safety operation of the monitoring and correcting system for the irregular behavior of the operation of an important post.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The invention relates to a behavior supervision and correction system for safety and operation irregularity of important posts (personnel) through Artificial Intelligence (AI) under a monitoring lens (mobile phone lens), which comprises a server, wherein the server is connected with a camera, the camera is divided into a fixed and authorized mobile phone behavior recognition camera for military police training and armed escort gun holding area, a fixed and authorized mobile phone behavior recognition camera for service window and bank window, money counting area, transportation and driving area such as airplane, steamship, rail transit, container and bus, a fixed and authorized mobile phone behavior recognition camera for electric power, communication, hospital and storage post operation area, an express delivery and storage fixed and authorized mobile phone behavior recognition camera, a front wearable recognition and alert law enforcement fixed and authorized mobile phone behavior recognition camera for armed escort or administrative law enforcement, Before getting off, the warning behavior identification and accidental parking or other temporary parking warning are fixed and the mobile phone behavior identification camera is authorized, the server is connected with artificial intelligence, the artificial intelligence is connected with the camera through the server and a network, and the server is further connected with a monitoring command center.
As an improvement, the server and the camera are connected through the Internet of things.
As an improvement, military police training and armed escort gun-holding behavior recognition, service window and bank window and network point bank-counting behavior recognition, transportation and driving behavior recognition of airplanes, ships, rail transit, containers, buses and the like, electric power, communication, hospital and storage post operation behavior recognition, express goods in and out warehouse behavior recognition, wearing recognition and warning law enforcement behavior recognition before loading, warning behavior recognition before getting off and accidental parking or other temporary parking warning behavior recognition, and a square frame is an automatic recognition result.
As an improvement, the artificial intelligence is provided with a safety operation identification model, the safety operation identification model is arranged in a deep learning server, various abnormal behavior and non-standard behavior characteristics are summarized by combining with a deep learning technology based on an image identification principle according to behavior standards of workers in different scenes, which are provided by a using unit, and a self-researched deep learning algorithm is applied to train safety behavior data and construct a model base, so that intelligent identification and judgment of safety behaviors are realized.
The working principle of the invention is as follows: an automatic safety behavior standard correction system is established by integrating multiple technologies and systems such as artificial intelligence, Internet of things, cloud computing and the like, irregular or incorrect dressing, behaviors, actions and all important scenes monitored by a camera can be identified by the system, identified signals are automatically transmitted to terminal communication equipment such as an interphone, a palm computer, an authorized mobile phone and the like which are carried by a scheduling (monitoring and commanding center) and workers in real time, the communication terminal timely reminds the workers of correcting deviation, the scheduling (monitoring and commanding center) simultaneously acquires various abnormal information in a task process, further the distance management and the after-the-fact pursuit and education demonstration of the workers are improved, and the management requirements of using units on the safety behavior standard can be comprehensively and multilevel met by the automatic behavior standard correction system.
Escort company is taken as an example:
safety work identification applicable range
1. The gun is drawn, tested and handed over;
2. scheduling (monitoring command center) internal, scheduling and task handover windows;
3. keeping a gun for warning in the process of executing the task;
4. service handover of bank outlets;
5. adding paper money by self-service equipment;
6. the internal operation of a vault (gun vault);
7. a cash sorting and counting operation room and a cash adding equipment operation room;
8. canteens, dormitories, working dog houses;
9. a night whistle position;
9. unexpected parking or other emergency.
Table 1 job recognition deep learning server configuration table
Furthermore, the terms "first", "second" and "first" 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 one or more of that feature, and in the description of the invention, "plurality" means two or more unless explicitly specifically defined otherwise.
In the present invention, unless otherwise specifically stated or limited, the terms "mounted," "connected," "fixed," and the like are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly above and obliquely above the second feature, or simply meaning that the first feature is at a lesser level than the second feature.
In the description herein, reference to the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention.
Claims (4)
1. Artificial intelligence technique is to the nonstandard behavior monitoring correction system of important post operation, including the server, its characterized in that: the server is connected with the camera, the camera divide into and leads rifle behavior identification camera, dress discernment and warning behavior identification camera before the loading, before getting off warning behavior identification camera and unexpected parking or other temporary parking warning behavior identification cameras, artificial intelligence is connected to the server, artificial intelligence passes through server and internet access camera, the control command center is still connected to the server, artificial intelligence divide into safe operation identification model and operation discernment degree of deep learning server and constitutes.
2. The artificial intelligence technology nonstandard behavior monitoring and correcting system for important post operations according to claim 1, characterized in that: the server is connected with the camera through the Internet of things.
3. The artificial intelligence technology nonstandard behavior monitoring and correcting system for important post operations according to claim 1, characterized in that: the method comprises the steps of receiving gun delivery behavior identification, wearing identification and warning behavior identification before loading, warning behavior identification before unloading and accidental parking or other temporary parking warning behavior identification, wherein a square frame is an automatic identification result, once an operator acts on a post abnormally, a system generates a red frame, and automatically sends out deviation correction reminding signals to a monitoring command center and a communication terminal carried by the operator, and simultaneously sends out reminding and recording in a rear monitoring center.
4. The artificial intelligence technology nonstandard behavior monitoring and correcting system for important post operations according to claim 1, characterized in that: the artificial intelligence is provided with a safety operation identification model, the safety operation identification model is arranged in the deep learning server, various abnormal behaviors and non-standard behavior characteristics are summarized by combining a deep learning technology and based on an image identification principle according to behavior standards of workers in different scenes, wherein the behavior standards are provided by escort companies, and a deep learning algorithm which is independently researched and developed is used for training safety behavior data and building a model base, so that intelligent identification and judgment of safety behaviors are realized.
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Citations (4)
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| CN108829014A (en) * | 2018-07-25 | 2018-11-16 | 南京盛航海运股份有限公司 | Safety of ship runs real time intelligent control system and its monitoring method |
| CN110287804A (en) * | 2019-05-30 | 2019-09-27 | 广东电网有限责任公司 | A kind of electric operating personnel's dressing recognition methods based on mobile video monitor |
| CN110472870A (en) * | 2019-08-15 | 2019-11-19 | 成都睿晓科技有限公司 | A kind of cashier service regulation detection system based on artificial intelligence |
| CN210110004U (en) * | 2018-10-26 | 2020-02-21 | 深圳市欧德克科技有限公司 | Oil field behavior monitoring system based on artificial intelligence |
-
2020
- 2020-08-05 CN CN202010775053.6A patent/CN112019806A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108829014A (en) * | 2018-07-25 | 2018-11-16 | 南京盛航海运股份有限公司 | Safety of ship runs real time intelligent control system and its monitoring method |
| CN210110004U (en) * | 2018-10-26 | 2020-02-21 | 深圳市欧德克科技有限公司 | Oil field behavior monitoring system based on artificial intelligence |
| CN110287804A (en) * | 2019-05-30 | 2019-09-27 | 广东电网有限责任公司 | A kind of electric operating personnel's dressing recognition methods based on mobile video monitor |
| CN110472870A (en) * | 2019-08-15 | 2019-11-19 | 成都睿晓科技有限公司 | A kind of cashier service regulation detection system based on artificial intelligence |
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