CN112188164A - AI vision-based violation real-time monitoring system and method - Google Patents
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
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Abstract
The invention discloses an AI vision-based violation real-time monitoring system and method, which comprises a data acquisition terminal, an edge computing unit, a cloud service and a display terminal, wherein the data acquisition terminal acquires images of a monitoring area for AI identification through a camera module; accessing the network camera according to the IP address of the network camera, and monitoring the condition of a target site in real time; the edge computing unit decodes and preprocesses the image, deploys an AI algorithm and performs reasoning through an edge machine; the invention relates to a system and a method for intelligently identifying and tracking irregular behaviors in real time based on an AI visual technology. The cost of manual monitoring is reduced, and meanwhile, the requirement of factory safety production can be met; the invention can effectively reduce manpower, improve production safety, realize monitoring and alarming in real time all weather, and is an ideal illegal behavior detection method; compared with the traditional server, the maintenance cost can be reduced; this is favorable to the flexibility of the exhibition mode various.
Description
Technical Field
The invention relates to the technical field of computer vision, in particular to an AI vision-based violation real-time monitoring system and method.
Background
The computer vision technology refers to the ability of a machine to sense the environment, and is a technology which mainly utilizes a sensor to convert a photoelectric signal into image data to realize the function of the machine of 'seeing the world'. The AI vision technology is a technology which can learn common characteristics and differential characteristics of images and finally automatically identify target characteristics by processing image data through an artificial intelligence deep learning method on the basis of computer vision. In hazardous production environments, violation monitoring is typically performed in three ways: firstly, through manual monitoring, the method not only consumes time and labor for measurement, but also cannot carry out all-weather monitoring on dangerous areas, and meanwhile, the dangerous environment has certain harm to monitoring people; secondly, video monitoring is carried out through a camera, all-weather real-time monitoring can be realized, but the method belongs to post evidence query and cannot effectively carry out early warning on illegal behaviors; and thirdly, fixed site instrument detection, which is a method of detecting at a specified site and entering a production environment after passing through the site, belongs to advance monitoring, but in the actual production process, due to the complexity of behaviors of people, the violation behaviors still exist in the production after the advance monitoring, so the method cannot effectively identify the violation behaviors in the production process. Therefore, the invention provides a real-time monitoring and warning system and method for illegal behaviors in a dangerous production environment based on an AI vision technology.
Disclosure of Invention
The purpose of the invention can be realized by the following technical scheme: an AI vision-based violation real-time monitoring system comprises a data acquisition terminal, an edge computing unit, a cloud service and a display terminal, wherein the data acquisition terminal acquires images of a monitoring area through a camera module for AI identification; the remote user can use a standard web browser on the PC to access the web camera according to the IP address of the web camera so as to monitor the condition of the target site in real time; the intelligent video streaming system has the main advantages that wireless video streaming transmission can be realized, the image acquisition equipment and the computing unit are separated, and the intelligent computing unit is prevented from being directly exposed in a dangerous environment; the edge computing unit decodes and preprocesses the image, deploys an AI algorithm and performs reasoning through an edge machine; monitoring of a production environment is realized through an AI deep learning algorithm; the cloud service module mainly comprises a W cloud server of a large company such as Aliyun, Huashi cloud and Baidu cloud; compared with the traditional local server, the cloud server is convenient for data storage and service deployment such as web and the like, and has super-strong storage capacity and computing capacity. Meanwhile, compared with the traditional server, the maintenance cost can be reduced; thus being beneficial to the flexibility and the diversity of the display modes; the display terminal can flexibly display the detection result through the cloud service framework, the result can be displayed on the display terminals such as a liquid crystal display, a notebook computer and a mobile phone, and a user can conveniently check the result at any time.
Preferably, the camera module adopts a network camera, the network camera is a new generation product combining a traditional camera and a network video technology, and besides all image capturing functions of a common traditional camera, a digital compression controller and a WEB-based operating system are also arranged in the camera, so that video data are compressed and encrypted and then are sent to a terminal user through a local area network, an internet or a wireless network.
Preferably, the Web service module is mainly divided into a front end and a back end, the back end is responsible for receiving the intelligent recognition result, and the front end is responsible for displaying the result of the back end to the client after the statistical analysis after storage and pretreatment, so that the front end and the back end can be well separated.
A method for monitoring violation behaviors in real time based on AI vision comprises the following steps:
firstly, customizing a regional monitoring region algorithm, monitoring people entering a specified region, and not monitoring people outside the monitoring region;
step two, a human-shaped frame extraction algorithm is mainly used for extracting the position contour of a person in a monitored area and preparing for further identifying the behavior of the person;
step three, a human behavior recognition algorithm is used for further recognizing the extracted human shape frame and recognizing the non-standard behaviors of the human, such as the production activities of not wearing specified helmets, tools, gloves and shoes;
step four, a pedestrian tracking algorithm tracks the identified personnel, avoids the situation that the deviation of the identification result of the same personnel is large due to shielding, can stabilize the identification result, numbers the personnel at near and far positions, and effectively determines the identity of the illegal personnel at multiple angles;
and step five, the comprehensive judgment and uploading algorithm of the recognition result can automatically send out different warnings according to the recognition result.
The invention has the beneficial effects that:
1. the invention is based on AI vision technology, real-time, intelligent identification and track the system and method of the non-standard behavior; the cost of manual monitoring is reduced, and meanwhile, the requirement of factory safety production can be met;
2. the invention can effectively reduce manpower, improve production safety, realize monitoring and alarming in real time all weather, and is an ideal illegal behavior detection method;
3. compared with the traditional server, the maintenance cost can be reduced; thus being beneficial to the flexibility and the diversity of the display modes;
4. the terminal image acquisition equipment acquires image information and uploads the video stream to the edge server through an intelligent gateway or wifi.
5. The edge server decodes and preprocesses the video stream, carries out reasoning through a deployed algorithm, and uploads a reasoning result to a cloud service or a local display terminal through a network.
6. And the cloud server stores and statistically analyzes the results and uploads the processed results to a display end through the deployed web service.
7. The user can flexibly select the display end, access the monitoring result through the web service or the local service and give an alarm for the violation.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic flow diagram of a monitoring system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, the present invention provides a technical solution: an AI vision-based violation real-time monitoring system comprises a data acquisition terminal, an edge computing unit, a cloud service and a display terminal, wherein the data acquisition terminal acquires images of a monitoring area through a camera module for AI identification; the remote user can use a standard web browser on the PC to access the web camera according to the IP address of the web camera so as to monitor the condition of the target site in real time; the intelligent video streaming system has the main advantages that wireless video streaming transmission can be realized, the image acquisition equipment and the computing unit are separated, and the intelligent computing unit is prevented from being directly exposed in a dangerous environment; the edge computing unit decodes and preprocesses the image, deploys an AI algorithm and performs reasoning through an edge machine; monitoring of a production environment is realized through an AI deep learning algorithm; the cloud service module mainly comprises a W cloud server of a large company such as Aliyun, Huashi cloud and Baidu cloud; compared with the traditional local server, the cloud server is convenient for data storage and service deployment such as web and the like, and has super-strong storage capacity and computing capacity. Meanwhile, compared with the traditional server, the maintenance cost can be reduced; thus being beneficial to the flexibility and the diversity of the display modes; the display terminal can flexibly display the detection result through the cloud service framework, the result can be displayed on the display terminals such as a liquid crystal display, a notebook computer and a mobile phone, and a user can conveniently check the result at any time.
The camera module adopts a network camera which is a new generation product combining a traditional camera and a network video technology, and has all image capturing functions of a common traditional camera, and a digital compression controller and a WEB-based operating system are also arranged in the camera module, so that video data are compressed and encrypted and then are transmitted to a terminal user through a local area network, an internet or a wireless network.
The Web service module is mainly divided into a front end and a rear end, the rear end is responsible for receiving the intelligent recognition result, the intelligent recognition result is stored and preprocessed, statistical analysis is carried out, the front end is responsible for displaying the result of the rear end to a client, and front-end and rear-end separation can be well achieved.
A method for monitoring violation behaviors in real time based on AI vision is characterized by comprising the following steps:
firstly, customizing a regional monitoring region algorithm, monitoring people entering a specified region, and not monitoring people outside the monitoring region;
step two, a human-shaped frame extraction algorithm is mainly used for extracting the position contour of a person in a monitored area and preparing for further identifying the behavior of the person;
step three, a human behavior recognition algorithm is used for further recognizing the extracted human shape frame and recognizing the non-standard behaviors of the human, such as the production activities of not wearing specified helmets, tools, gloves and shoes;
step four, a pedestrian tracking algorithm tracks the identified personnel, avoids the situation that the deviation of the identification result of the same personnel is large due to shielding, can stabilize the identification result, numbers the personnel at near and far positions, and effectively determines the identity of the illegal personnel at multiple angles;
and step five, the comprehensive judgment and uploading algorithm of the recognition result can automatically send out different warnings according to the recognition result.
When the intelligent edge server is used, firstly, terminal image acquisition equipment acquires image information, and a video stream is uploaded to the edge server through an intelligent gateway or wifi; then decoding and preprocessing the video stream through an edge server, reasoning through a deployed algorithm, and uploading a reasoning result to a cloud service or a local display end through a network; in addition, the cloud server stores and statistically analyzes the results, and uploads the processed results to a display end through the deployed web service; the user can flexibly select the display end, access the monitoring result through the web service or the local service and give an alarm for the violation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean 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.
Claims (4)
1. An AI vision-based violation real-time monitoring system comprises a data acquisition terminal, an edge computing unit, a cloud service and a display terminal, and is characterized in that the data acquisition terminal acquires images of a monitoring area through a camera module for AI identification; accessing the network camera according to the IP address of the network camera, and monitoring the condition of a target site in real time; the edge computing unit decodes and preprocesses the image, deploys an AI algorithm and performs reasoning through an edge machine; the cloud service module mainly comprises a W cloud server of a large company such as Aliyun, Huashi cloud and Baidu cloud; the display terminal can flexibly display the detection result through the cloud service architecture.
2. The AI vision-based violation real-time monitoring system of claim 1, wherein said camera module employs a web camera.
3. The AI vision-based violation real-time monitoring system of claim 1, wherein said Web services module is essentially divided into a front-end and a back-end, the back-end is responsible for receiving the intelligent recognition results and for storing, preprocessing, and performing statistical analysis, and the front-end is responsible for displaying the back-end results to the client.
4. A method for monitoring violation behaviors in real time based on AI vision is characterized by comprising the following steps:
firstly, customizing a regional monitoring region algorithm, monitoring people entering a specified region, and not monitoring people outside the monitoring region;
step two, a human-shaped frame extraction algorithm is mainly used for extracting the position contour of a person in a monitored area and preparing for further identifying the behavior of the person;
step three, a human behavior recognition algorithm is used for further recognizing the extracted human shape frame and recognizing the non-standard behavior of the human;
step four, a pedestrian tracking algorithm is used for tracking the identified personnel, so that the situation that the identification result of the same personnel has large deviation due to shielding is avoided, the identification result can be stabilized, and meanwhile, the personnel at the near position and the personnel at the far position are numbered;
and step five, the comprehensive judgment and uploading algorithm of the recognition result can automatically send out different warnings according to the recognition result.
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Cited By (5)
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| CN112911218A (en) * | 2021-01-15 | 2021-06-04 | 广州穗能通能源科技有限责任公司 | Monitoring terminal |
| CN113409661A (en) * | 2021-06-18 | 2021-09-17 | 北京东方国信科技股份有限公司 | Application scene display system based on 5G communication technology |
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| CN114979246A (en) * | 2022-05-18 | 2022-08-30 | 京东方科技集团股份有限公司 | Service management method, system, configuration server and edge computing device |
| CN115086327A (en) * | 2022-08-04 | 2022-09-20 | 北京密码云芯科技有限公司 | Edge calculation method, device, equipment and storage medium |
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Application publication date: 20210105 |