CN111914793A - Early warning method, device and equipment based on regional population - Google Patents
Early warning method, device and equipment based on regional population Download PDFInfo
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Abstract
The embodiment of the specification provides an early warning method, an early warning device and early warning equipment based on the number of regional people, and the early warning method, the early warning device and the early warning equipment can be used in the field of artificial intelligence. The method comprises the following steps: acquiring a shot image corresponding to the target area; the shot image corresponds to a shooting moment; identifying the number of people in the shot image; acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time; the people number change rule is used for reflecting the people number change trend in the target area at different moments; sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge. By the method, people in the area can be dredged in time according to the number change trend of people in different time periods, and the condition that the waiting time for a user to handle the business is long is avoided.
Description
Technical Field
The embodiment of the specification relates to the technical field of artificial intelligence, in particular to an early warning method, device and equipment based on regional population.
Background
Although it is popular to handle services on line directly by using terminals, people tend to complete the handling of services on line when handling some important services, such as services that need to obtain characteristic information of signatures, handprints and the like of people. In practical application, when off-line business is handled, a certain business handling area is often divided. The user transacts the business in the business transaction area or waits for other clients to transact the business.
However, since resources for business handling are limited, when there are too many people who need to handle business, a large number of them need to wait in the business handling area, and the people at the end of the team need to wait for a long time. Therefore, when the number of people in the business handling area is too many, the time of the people in the business handling area is wasted, and the waiting time of the people needing to handle the business can be saved by timely evacuating the people. Therefore, a technical scheme capable of estimating the number of people in the target area in real time and performing early warning based on the estimated number of people is needed.
Disclosure of Invention
An object of the embodiments of the present specification is to provide an early warning method, an early warning device, and an early warning apparatus based on regional population, so as to solve a problem how to immediately dredge people according to the population in a target region.
In order to solve the above technical problem, an embodiment of the present specification provides an early warning method based on the number of regional people, including:
acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
determining the change rule of the number of people according to the number of detected people and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments;
capturing a captured image corresponding to the target area; the shot image corresponds to a shooting moment;
identifying the number of people in the shot image; the number of ingesting people comprises the number of people in the target area;
acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time;
sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
The embodiment of this specification still provides an early warning device based on regional number of people, includes:
the monitoring sample image acquisition module is used for acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
the people number change rule determining module is used for determining the people number change rule according to the detected people number and the corresponding monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments;
a photographed image photographing module for photographing a photographed image corresponding to the target area; the shot image corresponds to a shooting moment;
the number of people taken is identified by the number of people taken in the shot image; the number of ingesters comprises the number of people in the target area;
the regional population peak value acquisition module is used for acquiring the regional population peak value in the early warning time period after the shooting time by utilizing the population change rule based on the number of the people to be shot and the shooting time;
the early warning information sending module is used for sending out first early warning information under the condition that the peak value of the number of people in the area is greater than a first number of people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
The embodiment of the specification also provides early warning equipment based on the number of regional people, which comprises a memory and a processor; the memory to store computer instructions; the processor, configured to execute the computer instructions to implement the following steps: acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment; determining the change rule of the number of people according to the number of detected people and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments; capturing a captured image corresponding to the target area; the shot image corresponds to a shooting moment; identifying the number of people in the shot image; the number of ingesting people comprises the number of people in the target area; acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time; sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
In order to solve the above technical problem, an embodiment of the present specification further provides a method for determining a change rule of a number of people, including:
acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
The embodiment of the present specification further provides a device for determining a number of people, including:
the monitoring sample image acquisition module is used for acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
the people number change rule determining module is used for determining the people number change rule according to the detected people number and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
The embodiment of the specification further provides a device for determining the number of people according to the change rule, which comprises a memory and a processor; the memory to store computer program instructions; the processor to execute the computer program instructions to implement the steps of: acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment; determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
According to the technical scheme provided by the embodiment of the specification, the monitoring sample image is analyzed to obtain the change rule of the number of people in the target area corresponding to different moments, so that after the image is shot for the target area, the number of people in the shot image is identified, the change trend of the number of people in a period of time can be determined according to the moment of shooting the image, the peak value of the number of people in the early warning period after the change trend of the number of people is determined, and therefore first early warning information can be sent out to dredge people in the target area under the condition that the peak value of the number of people is higher than the threshold value. By the method, the number of people in the target area and the change condition of the number of people can be determined according to the shot image, so that even if early warning is carried out when the number of people in the target area is large, people can be dredged, the situation that more people exist in the target area is avoided, meanwhile, the situation that the people do not consume more time to wait for the transaction of business is ensured, and the waste of time is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart illustrating a method for determining a change rule of a number of people according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating a method for warning based on regional population according to an embodiment of the present disclosure;
FIG. 3 is a block diagram of an apparatus for determining a change rule of a number of people according to an embodiment of the present disclosure;
FIG. 4 is a block diagram of an early warning device based on the number of people in a region according to an embodiment of the present disclosure;
fig. 5 is a block diagram of a device for determining a change rule of a number of persons according to an embodiment of the present disclosure;
fig. 6 is a block diagram of an early warning device based on the number of people in a region according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
In order to solve the above technical problem, an embodiment of a method for determining a change rule of a number of people in the present specification is described below with reference to fig. 1. The execution main body of the method can be equipment for determining the human number change rule, and the equipment comprises but is not limited to a server, an industrial personal computer, a PC (personal computer) and intelligent terminal equipment. The method may include the following specific execution steps.
S110: acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring time.
The target area is an area where people identification and people evacuation are required. The target area can be a waiting area before a business handling window, if more personnel exist in the target area, part of the personnel may need to consume more time to queue and wait, so that certain waste is caused to the time, and the utilization efficiency of the time can be improved by dredging the personnel in the target area; the target area can also be an area for storing valuable assets, sensitive documents and other articles, when more people exist in the target area, the valuable assets or the sensitive documents can be easily stolen, and people in the target area also need to be evacuated timely. In practical application, the target area is not limited, and the early warning method in the embodiment of the present specification can be applied to other areas where the number of people in the area needs to be controlled, which is not described in detail herein.
The monitoring sample image is an image obtained by shooting the target area. The monitoring sample image may be an image captured by a capturing device provided in the vicinity of the target area. Including but not limited to cameras, camera-enabled phones, video cameras, monitors, etc. When the photographing apparatus photographs the monitoring sample image, only an image corresponding to the target area may be photographed, or an image of a larger range including the target area may be photographed, without limitation.
The monitoring sample image may correspond to a monitoring time. The monitoring time is used for representing the time of the monitoring sample image shooting. From the monitoring time, the number of people in the target area corresponding to a time may be determined.
In some embodiments, in order to ensure that the change rule of the number of people can be clarified in the subsequent steps, a plurality of monitoring sample images at different times in a longer time period can be acquired, for example, the monitoring sample images can be images acquired at half minute intervals in a working time period, so that the situation that the change of people at different times cannot be effectively acquired when the monitoring sample images correspond to a shorter time period is avoided.
The number of detected people is marked on the monitoring sample image. The detected number of people indicates the number of people in the target area displayed according to the monitoring sample image. The number of detected people can be the number of people identified and noted manually, or the number of people in the target area obtained by identifying people in the monitoring sample image and then counting the people by using an image identification model. The specific implementation process of recognizing the number of people by using the image recognition model can be set based on the actual application condition, and is not described herein again.
In some embodiments, in order to ensure that the number of people in the target area can be accurately obtained, a plurality of shooting devices can be respectively arranged at different angles, and a plurality of images can be shot at the same time, so that all people in the target area can be completely shot.
S120: determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
The people number change rule is used for representing the people number change trend in the target area at different moments. After the detected number of people and the corresponding monitoring time are obtained, the change trend of the number of people in the target area at different times can be analyzed and obtained.
In practical application, the number of detected people possibly with a plurality of different dates corresponding to the same moment in the acquired sample data can be fitted to all the data to obtain the change rule of the number of people reflecting the basic change condition of the number of people. The specific method for obtaining the change rule of the number of people can be adjusted based on the situation in practical application, and is not described herein again.
Based on the people number change rule determination method, an embodiment of the early warning method based on the regional people number is introduced in the description. The execution subject of the method can be early warning equipment based on the number of regional people, and the equipment comprises but is not limited to a server, an industrial personal computer, a PC (personal computer) and intelligent terminal equipment. As shown in fig. 2, the method may include the following specific execution steps.
S210: acquiring a shot image corresponding to the target area; the shot image corresponds to a shooting moment.
The captured image is an image captured for acquiring the number of people in the target area in real time. And after the shot image is obtained, the current number of people in the target area can be obtained in real time through the number identification of people, so that whether the number of people in the target area meets the condition of early warning or not is determined. In order to ensure the timeliness of the shot images, the shot images can be transmitted to the server immediately after the shooting equipment shoots the shot images, and the server analyzes the number of people in the target area in the images, so that the people can be found and processed in time when the number of people is about to reach a certain number.
In order to analyze the number of people according to the change rule of the number of people acquired in step S120, the shot image may correspond to a shooting time. The shooting time is the shooting time of the shot image. According to the shooting time and the number of people change rule, the number of people in the target area can be determined.
S220: identifying the number of people in the shot image; the number of ingesters includes a number of people in the target area.
After the shot image is obtained, the number of people shot in the shot image can be identified, and the number of people shot is the number of people in the target area corresponding to the shooting moment.
In some embodiments, identifying the number of people taking the image may first obtain image features corresponding to the monitoring sample image by using a clustering algorithm, and then train a people number identification model based on the image features and the number of people detecting the monitoring sample image. The number of people recognition model is used for determining the number of people contained in the image according to the image characteristics in the image. Therefore, the number of persons captured in the captured image can be obtained by inputting the captured image into the person number recognition model.
In practical application, the number of people in the shot image can be obtained by other image recognition methods, and the specific implementation process can be adjusted according to the practical application condition, which is not described herein again.
In some embodiments, the captured image may include a region other than the target region, such that the persons included in the captured image may not all be persons in the target region. Therefore, before the number of persons is recognized, a target area may be determined in the captured image. The specific method for determining the target area may be, for example, to preset image features corresponding to the boundary of the target area, and to determine the target area by identifying corresponding image features in the captured image.
After the target area is determined, the detection personnel in the target area are identified. The detection personnel are the personnel in the shot image and located in the target area. After all the detection personnel are identified, counting the number of the detection personnel to obtain the number of the people who take the images, namely the number of the people in the target area when the images are taken.
S230: and acquiring the peak value of the number of regional people in the early warning period after the shooting time by utilizing the change rule of the number of people based on the number of people to be shot and the shooting time.
After the number of people to be shot and the shooting time are obtained, the change condition of the number of people in a certain time period can be determined by utilizing the change rule of the number of people. The people number change rule can be used for reflecting the people number change trend at different moments, so after the shooting moment is obtained, the people number change trend corresponding to the shooting moment, namely the increase and decrease proportion of the people number in a certain time period can be determined. The change of the number of people in a certain time period can be roughly determined based on the increase and decrease proportion. The population change may include a number of people corresponding to a number of times during the time period.
Specifically, the early warning time interval can be predetermined, the number of people in the early warning time interval after the shooting time is determined based on the steps, and then the maximum number of people in the number of people is obtained as the peak number of people in the area.
Since the personnel changes in the target area may not be perfectly in line with a certain regularity, the appropriate length may be selected when setting the associated warning period. When the early warning time period is too long, the number of the personnel reflected in the early warning time period may lack certain accuracy, so that a short early warning time period can be set to ensure the accuracy of early warning.
In some embodiments, in order to implement real-time warning based on the number of people, when capturing the captured images, the captured images corresponding to the target area may be captured every image capturing period, which may be a preset period, such as one second, five seconds, half minute, one minute, five minutes, ten minutes, half hour, and the like, without limitation. In order to ensure that the blank period of detection cannot occur in the early warning of the number of people in the target area, the image acquisition time interval is set to be not more than the early warning time interval, so that the situation that the number of people is too many at a certain moment after the early warning time interval and effective early warning cannot be performed is avoided.
S240: sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
The first number of persons warning threshold may be a preset number of persons. For example, when the number of people in the target area is 0-16 people, it is a lower number of people interval; when the number of people in the target area is 17-24, the target area is probably a more normal number of people; when the number of people in the target area is more than 24, the target area is a higher number of people, and part of people in the target area may wait for a longer time. At this time, the first person number early warning threshold may be set to 24, when it is detected that the peak value of the number of persons in the area within the early warning period may exceed 24, the number of persons in the target area may be large, and first early warning information may be sent out to prompt people in the target area to be dredged.
In some embodiments, in the case that the peak number of people in the area is greater than the first people pre-warning threshold value, first pre-warning information can be sent to area management personnel. The area manager may be a person who manages the target area, such as a hall manager or the like. After receiving the first warning information, the regional manager may evacuate the people in the target region, for example, transfer the target region to another business transaction region or notify some people to perform business transaction after a certain time delay.
In some embodiments, the first warning information may be issued to the resource allocation staff in case the peak number of people in the area is greater than a first people warning threshold. The resource allocation personnel are personnel for managing and controlling business handling resources. The service handling resource may be an operator or a terminal device or the like for handling the service. After receiving the first warning information, the resource distributor may add service handling resources corresponding to the target area, for example, add an additional service handling window or distribute additional service handling personnel for handling services, thereby improving service handling capacity and reducing waiting time of personnel in the target area.
In some embodiments, after the peak number of people in the area is obtained, it may be further determined whether the peak number of people in the area is smaller than a second people pre-warning threshold. The second people number early warning threshold value is smaller than the first people number early warning threshold value, and the second people number early warning threshold value is used for judging whether the number of people in the target area is too small. For example, based on the example in the above-described embodiment, when the number of persons in the target area is 0 to 16 persons, the number of persons is small, and the second person number warning threshold value may be set to 17. When the number of people in the target area is smaller than the second number of people early warning threshold, people in the target area may continuously maintain a lower level, that is, in a next period of time, a business handling terminal device corresponding to the target area may be in an idle state. At this time, second early warning information may be sent, where the second early warning information is used to prompt reduction of the service handling resources corresponding to the target area, so as to reduce an idle condition of the service handling resources in the target area.
Specifically, the second warning information may also be sent to the resource allocation staff to reduce the business handling resources.
According to the early warning method based on the number of people in the area, the monitoring sample image is analyzed to obtain the change rule of the number of people in the target area corresponding to different moments, so that after the image is shot aiming at the target area, the number of people in the shot image is identified, the change trend of the number of people in a period of time can be determined according to the moment of shooting the image, the peak value of the number of people in the early warning period is determined according to the change trend of the number of people, and therefore first early warning information can be sent out to dredge people in the target area under the condition that the peak value of the number of people is higher than the threshold value. By the method, the number of people in the target area and the change condition of the number of people can be determined according to the shot image, so that even if early warning is carried out when the number of people in the target area is large, people can be dredged, the situation that more people exist in the target area is avoided, meanwhile, the situation that the people do not consume more time to wait for the transaction of business is ensured, and the waste of time is reduced.
As shown in fig. 3, an embodiment of the present specification further provides a device for determining a change rule of people number, where the device may be integrated in the device for determining a change rule of people number, and the device includes the following modules.
A monitoring sample image obtaining module 310 for obtaining at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
the people number change rule determining module 320 is used for determining the people number change rule according to the detected people number and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
As shown in fig. 4, embodiments of the present specification further provide an area-population-based warning apparatus, which may be integrated in the area-population-based warning device, and the apparatus may include the following modules.
A photographed image obtaining module 410 for photographing a photographed image corresponding to the target area; the shot image corresponds to a shooting moment;
a number-of-persons-taken recognition module 420 for recognizing the number of persons taken in the photographed image; the number of ingesters comprises the number of people in the target area;
the regional population peak value obtaining module 430 is configured to obtain a regional population peak value in an early warning period after the shooting time by using a population change rule based on the number of people taken and the shooting time;
the early warning information sending module 440 is configured to send out first early warning information when the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
As shown in fig. 5, an embodiment of the present specification further provides a device for determining a change rule of a number of people. The people number change rule determining device can comprise a memory and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state disk, a U disk, or the like. The memory may be used to store computer program instructions.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth.
The processor may execute the computer program instructions to perform the steps of: acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment; determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
As shown in fig. 6, an embodiment of the present specification further provides an early warning device based on the number of people in an area. The area population based warning device may include a memory and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state disk, a U disk, or the like. The memory may be used to store computer program instructions.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth.
The processor may execute the computer program instructions to perform the steps of: acquiring a shot image corresponding to the target area; the shot image corresponds to a shooting moment; identifying the number of people in the shot image; the number of persons ingested is used to represent the number of persons in the target area; acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time; the number of people change rule comprises a rule determined according to the number of detected people corresponding to at least one sample image and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments; sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
It should be noted that the method, the device, and the apparatus for early warning based on the number of people in an area disclosed in the embodiments of the present disclosure may be applied to the technical field of artificial intelligence to evacuate people in the area, and of course, the method, the device, and the apparatus for early warning based on the number of people in an area may also be applied to other fields, which is not limited thereto.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate a dedicated integrated circuit chip 2. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardbyscript Description Language (vhr Description Language), and the like, which are currently used by Hardware compiler-software (Hardware Description Language-software). It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.
Claims (13)
1. An early warning method based on regional population is characterized by comprising the following steps:
acquiring a shot image corresponding to a target area; the shot image corresponds to a shooting moment;
identifying the number of people in the shot image; the number of persons ingested is used to represent the number of persons in the target area;
acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time; the number of people change rule comprises a rule determined according to the number of detected people corresponding to at least one sample image and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments;
sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
2. The method of claim 1, wherein said capturing a captured image corresponding to the target area comprises:
capturing a captured image corresponding to the target area every interval image acquisition period; the image acquisition time period is not greater than the early warning time period.
3. The method of claim 1, wherein the identifying the number of ingesters in the captured image comprises:
determining a target area in the shot image;
identifying detection personnel in the target area;
and counting the number of the detection personnel as the number of the persons who take the detection personnel.
4. The method of claim 1, wherein the identifying the number of ingesters in the captured image comprises:
acquiring image characteristics corresponding to the monitoring sample image by using a clustering algorithm;
training a people number recognition model according to the image characteristics and the corresponding number of detected people;
and identifying the number of the people to be shot in the shot image through the people number identification model.
5. The method of claim 1, wherein the obtaining the peak number of people in the region in the early warning period after the shooting time by using the change rule of people based on the number of people to be ingested and the shooting time comprises:
determining the number change condition in the early warning time period after the shooting time by using the number change rule based on the number of people to be shot and the shooting time;
and determining the maximum number of people in the number of people change condition as the peak number of people in the area.
6. The method of claim 1, wherein the issuing a first warning message in the event that the peak number of people in the area is greater than a first people warning threshold comprises:
and under the condition that the peak value of the number of people in the area is greater than a first number of people early warning threshold value, first early warning information is sent to area management personnel, so that the area management personnel dredge the personnel in the target area.
7. The method of claim 1, wherein the issuing a first warning message in the event that the peak number of people in the area is greater than a first people warning threshold comprises:
and under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value, first early warning information is sent to resource allocation personnel, so that the resource allocation personnel increase business handling resources corresponding to the target area.
8. The method of claim 1, wherein after obtaining the peak number of people in the area within the warning period after the shooting time by using the change rule of people based on the number of people taken and the shooting time, the method further comprises:
judging whether the peak number of people in the area is smaller than a second people number early warning threshold value or not;
sending out second early warning information under the condition that the minimum number of people in the area is smaller than the second early warning threshold number; the second early warning information is used for prompting the reduction of business handling resources corresponding to the target area.
9. The utility model provides a warning device based on regional number of people which characterized in that includes:
a photographed image acquiring module for acquiring a photographed image corresponding to the target area; the shot image corresponds to a shooting moment;
the number of people taken is identified by the number of people taken in the shot image; the number of ingesting people is used to represent the number of people in the target area;
the regional population peak value acquisition module is used for acquiring the regional population peak value in the early warning time period after the shooting time by utilizing the population change rule based on the number of the people to be shot and the shooting time; the number of people change rule comprises a rule determined according to the number of detected people corresponding to at least one sample image and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments;
the early warning information sending module is used for sending out first early warning information under the condition that the peak value of the number of people in the area is greater than a first number of people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
10. An early warning device based on regional population comprises a memory and a processor;
the memory to store computer program instructions;
the processor, configured to execute the computer program instructions to implement the following steps: acquiring a shot image corresponding to a target area; the shot image corresponds to a shooting moment; identifying the number of people in the shot image; the number of persons ingested is used to represent the number of persons in the target area; acquiring the peak value of the number of people in the area within the early warning period after the shooting time by using the change rule of the number of people based on the number of people to be shot and the shooting time; the number of people change rule comprises a rule determined according to the number of detected people corresponding to at least one sample image and the monitoring time; the people number change rule is used for reflecting the people number change trend in the target area at different moments; sending first early warning information under the condition that the peak value of the number of people in the area is greater than a first people early warning threshold value; the first early warning information is used for prompting people in the target area to dredge.
11. A method for determining the change rule of people number is characterized by comprising the following steps:
acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
12. A device for determining the change rule of people number is characterized by comprising:
the monitoring sample image acquisition module is used for acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment;
the people number change rule determining module is used for determining the people number change rule according to the detected people number and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
13. A people number change rule determining device comprises a memory and a processor;
the memory to store computer program instructions;
the processor to execute the computer program instructions to implement the steps of: acquiring at least one monitoring sample image corresponding to the target area; the number of detected people is marked on the monitoring sample image; the monitoring sample image corresponds to a monitoring moment; determining the change rule of the number of people according to the number of detected people and the monitoring time; and the people number change rule is used for reflecting the people number change trend in the target area at different moments.
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