WO2024022216A1

WO2024022216A1 - Information processing method and apparatus, storage medium, and electronic device

Info

Publication number: WO2024022216A1
Application number: PCT/CN2023/108365
Authority: WO
Inventors: 杨焱; 孔岳; 马明园
Original assignee: 京东方科技集团股份有限公司
Priority date: 2022-07-25
Filing date: 2023-07-20
Publication date: 2024-02-01
Also published as: CN115273231A

Abstract

The present disclosure relates to the technical field of computers. Provided are an information processing method and apparatus, a storage medium, and an electronic device. The method comprises: configuring a mapping relationship between multiple abnormal behaviors and multiple alarm levels, and presetting an alarm disposal rule corresponding to each alarm level; when it is detected that abnormal behavior occurs in a target area, generating alarm information corresponding to the abnormal behavior; determining the current alarm level of the alarm information according to the mapping relationship; and responding to the alarm information according to the alarm disposal rule corresponding to the current alarm level. In the present disclosure, alarm information of different alarm levels is flexibly processed, such that the processing efficiency of the alarm information is improved. (FIG. 2)

Description

Information processing methods, devices, storage media and electronic equipment

cross reference

This application claims priority to the Chinese patent application with application number 202210878034.5 and titled "Information processing method, device, storage medium and electronic equipment" submitted on July 25, 2022. The entire content of this Chinese patent application is fully incorporated by reference. Incorporated into full text.

Technical field

The present disclosure relates to the field of computer technology, and specifically, to an information processing method, an information processing device, a computer-readable storage medium, and an electronic device.

Background technique

With the widespread deployment of camera surveillance equipment in public areas, intelligent monitoring based on video surveillance data has become an indispensable normalized monitoring method in the field of public security.

Anomaly detection technology can automatically detect and alert abnormal behaviors such as intrusion and loitering by intelligently analyzing human behavior in monitoring scenarios, thereby enabling the monitoring system to proactively detect abnormalities. At present, in practical applications, after a large amount of alarm information is detected, alarms are usually eliminated manually in batches, which results in certain limitations in alarm elimination efficiency.

It should be noted that the information disclosed in the above background section is only used to enhance understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to those of ordinary skill in the art.

Contents of the invention

The present disclosure provides an information processing method, an information processing device, a computer-readable storage medium, and an electronic device.

The present disclosure provides an information processing method, including:

Configure the mapping relationship between multiple abnormal behaviors and multiple alarm levels, and preset the alarm rules corresponding to each alarm level;

When an abnormal behavior is detected in the target area, alarm information corresponding to the abnormal behavior is generated;

Determine the current alarm level of the alarm information according to the mapping relationship;

Respond to the alarm information according to the alarm elimination rules corresponding to the current alarm level.

In an exemplary embodiment of the present disclosure, when an abnormal behavior is detected in the target area, alarm information corresponding to the abnormal behavior is generated, including:

Obtain video data of the target area collected in real time by a camera device installed in the target area;

When it is detected that the video data in the target area contains abnormal behavior, alarm information corresponding to the abnormal behavior is generated.

In an exemplary embodiment of the present disclosure, the current alarm level of the alarm information is the first level; and responding to the alarm information according to the alarm rule corresponding to the current alarm level includes:

When receiving the image data that the abnormal behavior handler appears in the target area within the first preset time period, Eliminate the alarm information; or,

Obtain video data of the target area within the first preset time period;

If the video data contains video data related to the abnormal behavior handler, the alarm information is automatically eliminated;

If the video data does not include video data related to the abnormal behavior handler, a reminder message is sent to the superior of the abnormal behavior handler.

In an exemplary embodiment of the present disclosure, the method further includes:

When multiple abnormal behaviors occur in the target area, alarm information corresponding to each of the abnormal behaviors is generated. The alarm information corresponding to each of the abnormal behaviors has different alarm levels. There is at least one abnormal behavior in each of the abnormal behaviors. The alarm level of the corresponding alarm information is level one;

Obtain video data of the target area in the first preset time period;

If the video data includes video data related to the abnormal behavior handler, the alarm information corresponding to the multiple abnormal behaviors is automatically eliminated in batches.

In an exemplary embodiment of the present disclosure, the current alarm level of the alarm information is the second level; and responding to the alarm information according to the alarm rule corresponding to the current alarm level includes:

Eliminate the alarm information within the second preset time period;

If the alarm information is not eliminated within the second preset time period, reminder information is sent to the abnormal behavior handler and the superior of the abnormal behavior handler.

In an exemplary embodiment of the present disclosure, before eliminating the alarm information within the second preset time period, the method further includes:

The pre-configuration can eliminate the alarm information of the target area and/or the alarm information of the abnormal target behavior in batches.

In an exemplary embodiment of the present disclosure, the current alarm level of the alarm information is the third level; and responding to the alarm information according to the alarm rule corresponding to the alarm level of the alarm information includes: :

The alarm information is stored in a database, and the alarm information is used for at least any one of data analysis, statistics, and hidden points.

The present disclosure is an information processing device, including:

The fire alarm rule configuration module is used to configure the mapping relationship between multiple abnormal behaviors and multiple alarm levels, and presets the fire alarm rules corresponding to each alarm level;

An alarm information generation module, used to generate alarm information corresponding to the abnormal behavior when an abnormal behavior is detected in the target area;

An alarm level determination module, configured to determine the current alarm level of the alarm information according to the mapping relationship;

An alarm information response module is configured to respond to the alarm information according to the alarm rules corresponding to the current alarm level.

The present disclosure provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, any one of the methods described above is implemented.

The present disclosure provides an electronic device, including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform any of the above by executing the executable instructions. method described.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 shows a schematic diagram of a system architecture to which information processing methods and devices according to embodiments of the present disclosure can be applied;

Figure 2 schematically shows a flow chart of an information processing method in an embodiment of the present disclosure;

Figure 3 schematically shows a flow chart of alarm information processing according to an embodiment of the present disclosure;

Figure 4 schematically shows a flow chart of another alarm information processing according to an embodiment of the present disclosure;

Figure 5 schematically shows a flow chart of another information processing method in an embodiment of the present disclosure;

Figure 6 schematically shows a block diagram of an information processing device according to an embodiment of the present disclosure;

FIG. 7 schematically shows a structural diagram of an electronic device suitable for implementing embodiments of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concepts of the example embodiments. To those skilled in the art. The described features, structures or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details described, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices.

FIG. 1 shows a schematic diagram of the system architecture of an exemplary application environment in which an information processing method and apparatus according to embodiments of the present disclosure can be applied.

As shown in FIG. 1 , a system architecture 100 may include multiple camera devices 101 , a network 102 and a data processing device 103 . The camera device 101 may be a surveillance camera installed in a public area/fixed area, and is used to collect on-site data in the public area/fixed area. The data processing device 103 can be a terminal device, such as various electronic devices, including but not limited to desktop computers, portable computers, smart phones, tablets, etc.; the data processing device 103 can also be a server, or it can be composed of multiple servers. The server cluster can also be a cloud computing platform or virtualization center. The network 102 is used as a medium to provide a communication link between the camera device 101 and the data analysis device 103. The network 102 may include various connection types, such as wired, wireless communication links, optical fiber cables, and so on. Specifically, the data processing device 103 can be used to: configure mapping relationships between multiple abnormal behaviors and multiple alarm levels, and preset alarm rules corresponding to each alarm level; when abnormal behaviors are detected in the target area when, generating alarm information corresponding to the abnormal behavior; determining the current alarm level of the alarm information according to the mapping relationship; and responding to the alarm information according to the alarm rule corresponding to the current alarm level. It should be understood that the number of each device in Figure 1 is only exemplary, and there may be any number of camera devices 101, networks 102 and data processing devices 103 according to implementation requirements.

The technical solutions of the embodiments of the present disclosure are described in detail below:

At present, anomaly detection technology can be used to intelligently analyze human behavior in monitoring scenarios, so as to automatically detect and alert abnormal behaviors such as human intrusion and loitering, and realize the monitoring system's ability to proactively detect abnormalities. At present, in practical applications, after a large amount of alarm information is detected, alarms are usually eliminated manually in batches. Through manual processing, the alarm information may not be processed in a timely manner, thus reducing the alarm elimination efficiency.

Based on one or more of the above problems, this example implementation provides an information processing method. Referring to Figure 2, the information processing method may include steps S210 to S240:

Step S210. Configure mapping relationships between multiple abnormal behaviors and multiple alarm levels, and preset alarm rules corresponding to each alarm level;

Step S220. When an abnormal behavior is detected in the target area, generate alarm information corresponding to the abnormal behavior;

Step S230. Determine the current alarm level of the alarm information according to the mapping relationship;

Step S240. Respond to the alarm information according to the alarm elimination rule corresponding to the current alarm level.

In the information processing method provided by the exemplary embodiment of the present disclosure, by configuring the mapping relationship between multiple abnormal behaviors and multiple alarm levels, and presetting the alarm rules corresponding to each alarm level; when a target area is detected. When abnormal behavior occurs, alarm information corresponding to the abnormal behavior is generated; the current alarm level of the alarm information is determined according to the mapping relationship; and the alarm information is responded to according to the alarm rule corresponding to the current alarm level. The present disclosure improves the processing efficiency of alarm information by flexibly processing alarm information of different alarm levels.

Below, the above-mentioned steps of this exemplary embodiment will be described in more detail.

In step S210, mapping relationships between multiple abnormal behaviors and multiple alarm levels are configured, and alarm rules corresponding to each alarm level are preset.

In the exemplary embodiment of the present disclosure, mapping relationships between multiple abnormal behaviors and multiple alarm levels can be pre-configured, and alarm rules corresponding to each alarm level can be preset. It is understandable that in different scenarios, the alarm levels corresponding to a certain abnormal behavior may be different. For example, as shown in Table 1, multiple abnormal behaviors and alarms in a certain scenario are given. The mapping relationship between levels, and the alarm rules corresponding to each alarm level. The alarm levels may include at least three levels, namely the first level, the second level and the third level. The first level is an emergency alarm, the second level is an important alarm, and the third level is a general alarm. When the first-level alarm information is issued, abnormal behavior handling personnel need to arrive at the scene in time for emergency treatment. The abnormal behavior personnel can be security personnel and other related staff; when the second-level alarm information is issued, the alarm situation is not urgent and abnormal. The behavior handling personnel can arrive at the scene within the preset time on the day of the incident, or they can directly conduct online firefighting; when the third level of alarm information is issued, this level of alarm information does not require manual alarming, and only needs to be Alarm information is recorded. In other examples, the level of the alarm level can be flexibly defined, and this disclosure does not limit this.

Table 1

In addition, in addition to setting corresponding fire alarm rules according to the type of abnormal behavior, corresponding fire alarm rules can also be set for a certain camera device. For example, after installing multiple camera devices around the park lake, all alarm information issued by each camera device in the area can be set to the first level. When the alarm information is issued, security personnel are required to arrive at the scene in time.

In this example, the corresponding alarm level is configured according to the urgency of the abnormal behavior, so that the abnormality handling personnel can prioritize the abnormal behavior with a higher degree of urgency. On the basis of ensuring the efficiency of firefighting, it is possible to implement multiple alarms in different scenarios. Flexible handling of abnormal behaviors improves user service quality.

In step S220, when an abnormal behavior is detected in the target area, alarm information corresponding to the abnormal behavior is generated.

The target area may be any area determined according to user needs, and at least one camera device is installed in the target area for acquiring video data or image data containing human behavior. For example, a museum needs to monitor in real time whether strangers enter the venue when it is not open, or it needs to monitor whether visitors have uncivilized behavior when the venue is open. Correspondingly, multiple partitions in the museum where camera devices are installed can be used as target areas. The target area can be multiple partitions, or one of the multiple partitions. This disclosure does not limit this. When the museum is not open, abnormal behavior can include illegal entry into the venue, loitering in the venue, etc.; when the museum is open, abnormal behavior can include moving exhibit items, smoking, fighting, etc., or other abnormal behaviors, which will not be discussed here. Limited one by one. It is understandable that different abnormal behaviors can be identified for different scenarios.

For example, the video data of the target area collected in real time by the camera device installed in the target area can be obtained. When it is detected that the video data in the target area contains abnormal behavior, alarm information corresponding to the abnormal behavior can be generated. The alarm information may at least include information such as the type of abnormal behavior, the time when the abnormal behavior occurs, the location where the abnormal behavior occurs, and the identification of the camera device. Among them, the camera device can be deployed and controlled according to the actual needs of the user. For example, the camera device can be a smart camera, which can be used to capture images from a certain angle, or can be used to capture panoramic images in a target area, and extract each panoramic image. After the video data in the target area is collected through the camera device in the target area, the video data can be stored locally on the camera device, or the video data can be stored in a server, such as an AI (Artificial Intelligence) server or an edge server. wait. Furthermore, the video data in the target area can be obtained in real time by pulling the stream. For example, you can pull existing video data from the AI server by specifying an address to analyze the video data.

After obtaining the video data of the target area, the video data of the target area can be decomposed into image frames, and the image frames containing behavioral characteristics can be filtered out. By detecting image frames containing behavioral characteristics, it is possible to identify whether the image frames contain abnormal behaviors. In this public example, deep learning can be used to identify whether the video data contains abnormal behavior. For example, the historical abnormal behaviors acquired by the camera device in the area can be input into the behavior recognition model for training, and the behavioral characteristics in the image frames can be judged through the trained behavior recognition model. The image frames to be identified can also be matched with images containing abnormal behaviors stored in the abnormal behavior library. If the matches are consistent, it indicates that the video data in the target area contains abnormal behaviors.

For example, the target area is a certain area in the park, and the abnormal behaviors that need to be monitored in this area include at least trampling on the lawn, smoking, etc. Analyze the video data in this area. When it is detected that the video data contains smoking behavior, corresponding alarm information can be generated. For example, the alarm information may include Warning_Type: smoking, Time: 202062910, Warning_CamID: 10000001, etc. It should be noted that the frequency of generating alarm information can be set according to user needs. For example, the alarm information can be generated once every minute or every 5 minutes. This disclosure does not make a specific limit.

In this example, through real-time analysis of video data in the target area, abnormal behaviors occurring in the target area can be identified faster and more accurately. Furthermore, corresponding alarm information can be generated based on the detected abnormal behavior, which facilitates abnormal behavior handling personnel to promptly clear alarms based on the alarm information, thereby improving alarm elimination efficiency.

In step S230, the current alarm level of the alarm information is determined according to the mapping relationship.

For example, the current alarm level of the alarm information can be determined according to the abnormal behavior type contained in the alarm information. For example, it is detected that the video data of the target area contains the behavior of falling into the lake, and the generated alarm information includes Warning_Type: drowning. From the mapping relationship between the preset abnormal behavior and the alarm level, it can be seen that the current warning level of the behavior of falling into the lake is the One level.

In step S240, respond to the alarm information according to the alarm elimination rule corresponding to the current alarm level.

When it is determined that the current alarm level of the alarm information is the first level, with reference to FIG. 3 , the first level alarm information may be processed according to steps S310 to S340.

Step S310. When receiving the image data that the abnormal behavior handler appears in the target area within the first preset time period, eliminate the alarm information.

Among them, the abnormal behavior handlers can be security personnel and other related staff, and the first preset time period is the first class The alarm time corresponding to the level of alarm information, such as 10 minutes or 30 minutes, etc. For first-level alarm information, abnormal behavior handling personnel are required to appear in the target area within the first preset time period to dispel the alarm. For example, you can submit abnormal behavior handling personnel to appear in the target area within the first preset time period. image data and eliminate the alarm information online.

Step S320. Obtain the video data of the target area within the first preset time period.

As shown in step S310, in addition to realizing online alarm removal by submitting the image data of the abnormal behavior handling personnel appearing in the target area within the first preset time period, the video of the target area within the first preset time period can also be obtained. The data is used to analyze the video data to determine whether the abnormal behavior handling personnel arrived at the scene within the first preset time period, and to determine whether to eliminate the alarm information.

Step S330. If the video data includes video data related to the abnormal behavior handler, automatically eliminate the alarm information.

After analyzing the video data of the target area, if the video data includes video data in which the abnormal behavior handler arrived at the target area and processed it within the first preset time period, the alarm information can be automatically eliminated.

Step S340. If the video data does not include video data related to the abnormal behavior handler, send reminder information to the superior of the abnormal behavior handler.

After analyzing the video data of the target area, if the video data does not include the video data of the abnormal behavior handler arriving at the target area within the first preset time period, the alarm level of the alarm information will be upgraded and the abnormal behavior handler will be informed. Send a reminder message to your superior to eliminate the alarm message in a timely manner.

For example, when a falling into the lake is detected and a first-level alarm message is generated, security personnel need to arrive at the scene in time for emergency treatment. For example, if the first preset time period is 10 minutes, that is, after receiving the alarm, the security personnel Need to arrive at the scene within 10 minutes. When the video collected at the scene shows that security personnel arrived at the scene within 10 minutes after the incident, the alarm information is automatically eliminated. You can also submit pictures of security personnel arriving at the scene within 10 minutes of the incident on the day of the incident to eliminate the alarm information online. If the security personnel do not arrive at the scene within ten minutes after the incident, a reminder message will be sent to the security personnel's superior, such as by phone or text message. In addition, security personnel can also submit the reasons for not arriving at the scene online.

In this example, when abnormal behavior occurs, alarm information is generated and the system issues an alarm. If the abnormal behavior continues to occur within a certain period of time, you can configure the frequency of the camera device to send alarms. For example, the camera device can send an alarm once every minute. , to remind abnormal behavior handling personnel to arrive at the scene in time for emergency treatment, thereby ensuring firefighting efficiency.

When multiple abnormal behaviors occur in the target area, alarm information corresponding to each abnormal behavior can be generated. The alarm information corresponding to each abnormal behavior has different alarm levels. There is at least one alarm information corresponding to the abnormal behavior in each abnormal behavior. The alarm level is level one. The video data of the target area in the first preset time period can be obtained. If the video data contains video data related to the abnormal behavior handler, the alarm information corresponding to multiple abnormal behaviors will be automatically eliminated in batches.

For example, when a certain camera device generates multiple abnormal behavior alarms on the same day, at least one of the abnormal behaviors requires security personnel to arrive at the scene to deal with it. Other abnormal behaviors can be cleared online or without manual alarms, corresponding to The time for firefighting can be on the same day or within three days. This disclosure does not specifically limit this. The video collected by the camera device can be analyzed in real time. If the video shows that security personnel have arrived at the scene, all alarm information that occurred before the security personnel arrived at the scene can be automatically eliminated. After security personnel arrive at the scene, they can also batch eliminate all alarm information that occurred before they arrived at the scene online.

When it is determined that the current alarm level of the alarm information is the second level, with reference to FIG. 4 , the second level alarm information may be processed according to step S410 and step S420.

Step S410. Eliminate the alarm information within the second preset time period.

The second level of alarm information is an important alarm. Alarm information with a lower urgency than the first level requires abnormal behavior handling personnel to arrive at the scene within the second preset time period for processing. The second preset time period is the second level. The alarm information corresponding to the fire alarm time, such as the day of the incident or within three days of the incident, etc. Alternatively, you can also submit a picture of the abnormal behavior handling personnel arriving at the scene within the second preset time for online alarm.

For second-level alarm information, you can pre-configure alarm information in the target area and/or alarm information about abnormal target behavior to be eliminated in batches. For example, you can set the alarm information corresponding to the camera devices installed in the target area to be eliminated in batches, or you can set the alarm information corresponding to a certain abnormal behavior to be eliminated in batches. For example, the alarm information corresponding to the trampling on the lawn can be eliminated in batches, further realizing the detection of abnormalities. Behavioral flexibility.

Step S420. If the alarm information is not eliminated within the second preset time period, send reminder information to the abnormal behavior handler and the superior of the abnormal behavior handler.

If the abnormal behavior handler fails to eliminate the alarm information within the second preset time period, feedback will be given to the abnormal behavior handler's superior, and a reminder message will be sent to the abnormal behavior handler and the abnormal behavior handler's superior to eliminate the alarm in a timely manner. Alarm information. For example, abnormal behavior handlers and their superiors can be reminded through system messages, phone calls, and text messages to ensure the efficiency of abnormal behavior handling.

When it is determined that the current alarm level of the alarm information is the third level, the alarm information can be stored in the database. This type of alarm information can be used for at least one of data analysis, statistics, burying, troubleshooting, etc., the third level The alarm information does not require manual alarm elimination. For example, after detecting the abnormal behavior of employees playing with mobile phones during work and generating corresponding alarm information, the alarm information can be recorded without processing the abnormal behavior. For example, the stored alarm information can be used to analyze the company's Effective working hours of employees to facilitate enhanced management.

In this public example, the alarm levels of abnormal behaviors, alarm information, and fire alarm rules are configured in advance. Abnormal behaviors with a higher degree of urgency can be prioritized, and flexible processing of multiple abnormal behaviors in different scenarios can be achieved. , which improves the processing efficiency of alarm information.

In an example implementation, referring to FIG. 5 , information processing may be performed according to steps S501 to S505.

Step S501. The camera obtains monitoring data. Obtain monitoring data in the target area through the cameras installed in the target area;

Step S502. Analyze the monitoring data. Analyze the surveillance data in the target area and filter out video data/image data containing behavioral characteristics;

Step S503. Determine whether there is abnormal behavior. Determine whether the video data/image data contains abnormal behavior according to the behavioral characteristics in the video data/image data. If the video data/image data contains abnormal behavior, execute the step Step S504, if the video data/image data does not contain abnormal behavior, jump back to step S501 to obtain the latest monitoring data in the target area;

Step S504. Generate alarm information. When the acquired video data/image data contains abnormal behavior, corresponding alarm information is generated. The alarm information includes information such as the type of abnormal behavior, the time and location of the abnormal behavior, the identification of the camera, etc.;

Step S505: Perform alarm elimination processing. The alarm level of the alarm information can be determined according to the abnormal behavior type in the alarm information, and the alarm processing can be performed according to the alarm rules that match the alarm level of the alarm information.

It should be noted that although various steps of the methods of the present disclosure are depicted in a specific order in the drawings, this does not require or imply that these steps must be performed in that specific order, or that all of the illustrated steps must be performed to achieve the desired results. the result of. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, etc.

Further, in this exemplary embodiment, an information processing device is also provided. The device can be applied to a terminal device or a server. Referring to Figure 6, the information processing device 600 may include an alarm rule configuration module 610, an alarm information generation module 620, an alarm level determination module 630, and an alarm information response module 640, wherein:

The alarm rule configuration module 610 is used to configure the mapping relationships between multiple abnormal behaviors and multiple alarm levels, and preset the alarm rules corresponding to each alarm level;

The alarm information generation module 620 is used to generate alarm information corresponding to the abnormal behavior when an abnormal behavior is detected in the target area;

Alarm level determination module 630, configured to determine the current alarm level of the alarm information according to the mapping relationship;

The alarm information response module 640 is configured to respond to the alarm information according to the alarm elimination rules corresponding to the current alarm level.

In an optional implementation, the alarm information generation module 610 includes:

A video data acquisition submodule, used to acquire video data of the target area collected in real time by a camera device installed in the target area;

An alarm information generation submodule is configured to generate alarm information corresponding to the abnormal behavior when it is detected that the video data in the target area contains abnormal behavior.

In an optional implementation, the current alarm level of the alarm information is the first level; the alarm information response module 630 includes:

A first response module for alarm information, configured to eliminate the alarm information when receiving image data that an abnormal behavior handler appears in the target area within a first preset time period;

The second response module for alarm information is used to obtain the video data of the target area within the first preset time period; if the video data contains video data related to the abnormal behavior handler, it is automatically eliminated The alarm information; if the video data does not include video data related to the abnormal behavior handler, then sending reminder information to the superior of the abnormal behavior handler.

In an optional implementation, the alarm information response module 630 also includes:

The third response module for alarm information is used to generate alarm information corresponding to each abnormal behavior when multiple abnormal behaviors occur in the target area. The alarm information corresponding to each abnormal behavior has different alarm levels. The alarm level of the alarm information corresponding to at least one of the abnormal behaviors is the first level; obtain the video data of the target area in the first preset time period; if the video data contains the abnormality The video data related to the behavior processing personnel will automatically eliminate the alarm information corresponding to the multiple abnormal behaviors in batches.

In an optional implementation, the current alarm level of the alarm information is the second level; the alarm information response module 630 includes:

The fourth response module for alarm information is used to eliminate the alarm information within the second preset time period; if the alarm information is not eliminated within the second preset time period, notify the abnormal behavior handling personnel and The superior of the person handling the abnormal behavior sends a reminder message.

In an optional implementation, the fourth response module for alarm information includes:

A configuration module configured to pre-configure the alarm information of the target area and/or the alarm information of the target abnormal behavior to be eliminated in batches.

In an optional implementation, the current alarm level of the alarm information is the third level; the alarm information response module 630 includes:

The fifth response module for alarm information is used to store the alarm information in a database, and the alarm information is used for at least any one of data analysis, statistics, and hidden points.

The specific details of each module in the above information processing device have been described in detail in the corresponding information processing method, so they will not be described again here.

Each module in the above device can be a general-purpose processor, including a central processing unit, a network processor, etc.; it can also be a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic devices, discrete gates or transistors Logic devices, discrete hardware components. Each module can also be implemented by software, firmware, etc. Each processor in the above device can be an independent processor or can be integrated together.

Exemplary embodiments of the present disclosure also provide a computer-readable storage medium on which a program product capable of implementing the method described above in this specification is stored. In some possible implementations, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code. When the program product is run on an electronic device, the program code is used to cause the electronic device to execute the above-mentioned instructions in this specification. The steps according to various exemplary embodiments of the present disclosure are described in the "Exemplary Methods" section. The program product may take the form of a portable compact disk read-only memory (CD-ROM) and include the program code, and may be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be instructed to execute a system, Devices or devices used or used in combination with them.

The Program Product may take the form of one or more readable media in any combination. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A readable signal medium may also be any readable medium other than a readable storage medium that can send, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., as well as conventional procedural programming. Language—such as "C" or a similar programming language. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. In situations involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. (business comes via Internet connection).

Exemplary embodiments of the present disclosure also provide an electronic device capable of implementing the above method. An electronic device 700 according to such an exemplary embodiment of the present disclosure is described below with reference to FIG. 7 . The electronic device 700 shown in FIG. 7 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present disclosure.

As shown in Figure 7, electronic device 700 may take the form of a general-purpose computing device. The components of the electronic device 700 may include, but are not limited to: at least one processing unit 710, at least one storage unit 720, a bus 730 connecting different system components (including the storage unit 720 and the processing unit 710), and a display unit 740.

The storage unit 720 stores program code, and the program code can be executed by the processing unit 710, so that the processing unit 710 performs the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned "Example Method" section of this specification. For example, the processing unit 710 may perform any one or more method steps in FIGS. 2 to 5 .

The storage unit 720 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 721 and/or a cache storage unit 722, and may further include a read-only storage unit (ROM) 723.

Storage unit 720 may also include a program/utility 724 having a set of (at least one) program modules 725 including, but not limited to: an operating system, one or more application programs, other program modules, and and program data, each of these examples or some combination may include an implementation of a network environment.

Bus 730 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.

Electronic device 700 may also communicate with one or more external devices 800 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 700, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 700 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 750. Furthermore, the electronic device 700 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 760. As shown in FIG. 7 , network adapter 760 communicates with other modules of electronic device 700 through bus 730 . It should be understood that, although not shown in Figure 7, other hardware and/or software modules may be used in conjunction with electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tapes drives and data backup storage systems, etc.

Through the above description of the embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software, or can be implemented by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a terminal device, a network device, etc.) to execute a method according to an exemplary embodiment of the present disclosure.

In addition, the above-mentioned drawings are only schematic illustrations of processes included in the methods according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal sequence of these processes. In addition, it is also easy to understand that these processes may be executed synchronously or asynchronously in multiple modules, for example.

It should be noted that although several modules or units of equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into being embodied by multiple modules or units.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Claims

An information processing method, characterized by including:

Configure the mapping relationship between multiple abnormal behaviors and multiple alarm levels, and preset the alarm rules corresponding to each alarm level;

When an abnormal behavior is detected in the target area, alarm information corresponding to the abnormal behavior is generated;

Determine the current alarm level of the alarm information according to the mapping relationship;

Respond to the alarm information according to the alarm elimination rules corresponding to the current alarm level.
The information processing method according to claim 1, characterized in that when an abnormal behavior is detected in the target area, alarm information corresponding to the abnormal behavior is generated, including:

Obtain video data of the target area collected in real time by a camera device installed in the target area;

When it is detected that the video data in the target area contains abnormal behavior, alarm information corresponding to the abnormal behavior is generated.
The information processing method according to claim 1, characterized in that the current alarm level of the alarm information is the first level; and responding to the alarm information according to the alarm rule corresponding to the current alarm level includes: :

When receiving the image data that the abnormal behavior handler appears in the target area within the first preset time period, eliminate the alarm information; or,

Obtain video data of the target area within the first preset time period;

If the video data contains video data related to the abnormal behavior handler, the alarm information is automatically eliminated;

If the video data does not include video data related to the abnormal behavior handler, a reminder message is sent to the superior of the abnormal behavior handler.
The information processing method according to claim 3, characterized in that the method further includes:

When multiple abnormal behaviors occur in the target area, alarm information corresponding to each of the abnormal behaviors is generated. The alarm information corresponding to each of the abnormal behaviors has different alarm levels. There is at least one abnormal behavior in each of the abnormal behaviors. The alarm level of the corresponding alarm information is level one;

Obtain video data of the target area in the first preset time period;

If the video data includes video data related to the abnormal behavior handler, the alarm information corresponding to the multiple abnormal behaviors is automatically eliminated in batches.
The information processing method according to claim 1, characterized in that the current alarm level of the alarm information is the second level; and responding to the alarm information according to the alarm rule corresponding to the current alarm level includes: :

Eliminate the alarm information within the second preset time period;

If the alarm information is not eliminated within the second preset time period, handle the abnormal behavior Reminder messages are sent to the personnel and the superiors of the personnel handling the abnormal behavior.
The information processing method according to claim 5, characterized in that, before eliminating the alarm information within the second preset time period, the method further includes:

The pre-configuration can eliminate the alarm information of the target area and/or the alarm information of the target abnormal behavior in batches.
The information processing method according to claim 1, characterized in that the current alarm level of the alarm information is the third level; and the alarm information is processed according to the alarm rule corresponding to the alarm level of the alarm information. Response, including:

The alarm information is stored in a database, and the alarm information is used for at least any one of data analysis, statistics, and hidden points.
An information processing device, characterized in that it includes:

The fire alarm rule configuration module is used to configure the mapping relationship between multiple abnormal behaviors and multiple alarm levels, and presets the fire alarm rules corresponding to each alarm level;

An alarm information generation module, used to generate alarm information corresponding to the abnormal behavior when an abnormal behavior is detected in the target area;

An alarm level determination module, configured to determine the current alarm level of the alarm information according to the mapping relationship;

An alarm information response module is configured to respond to the alarm information according to the alarm rules corresponding to the current alarm level.
A computer-readable storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the method of any one of claims 1-7 is implemented.
An electronic device, characterized by including:

processor; and

Memory for storing executable instructions for the processor;

Wherein, the processor is configured to perform the method of any one of claims 1-7 via execution of the executable instructions.