CN113593074B - Method and device for generating monitoring video - Google Patents
Method and device for generating monitoring video Download PDFInfo
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- CN113593074B CN113593074B CN202110802814.7A CN202110802814A CN113593074B CN 113593074 B CN113593074 B CN 113593074B CN 202110802814 A CN202110802814 A CN 202110802814A CN 113593074 B CN113593074 B CN 113593074B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
- G07C3/005—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles during manufacturing process
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The application provides a method and a device for generating a monitoring video, wherein the method for generating the monitoring video comprises the following steps: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring equipment operation images and time information corresponding to the equipment operation images based on a target time period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and generating a device monitoring video based on the target node image. According to the method and the device for generating the monitoring video, the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized by acquiring the physical state parameters and the equipment operation images, so that the equipment monitoring video is obtained, a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
Description
Technical Field
The present application relates to the field of monitoring technologies, and in particular, to a method and an apparatus for generating a monitoring video.
Background
With the development of mechanical and automatic technologies, mechanical equipment and electronic equipment replace manpower in manufacturing industry, so that the phenomenon of mechanical equipment and electronic equipment is very common, an automatic production line is increasingly popular, and for various industrial equipment, the working state of the industrial equipment needs to be monitored in time, so that the production progress is prevented from being influenced by faults, and dangerous accidents are prevented from happening.
The existing method for monitoring the working state of the industrial equipment mainly comprises the steps of shooting working videos of the industrial equipment in real time through a monitoring camera, and manually checking the working videos to know the working condition of the equipment.
Disclosure of Invention
The application provides a method and a device for generating a monitoring video, which are used for solving the defects that in the prior art, working conditions of equipment are known by manually checking working videos, the method is single in machine, faults are difficult to discover in time, time and labor are consumed, and the monitoring efficiency is low.
The application provides a monitoring video generation method, which comprises the following steps: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and generating a device monitoring video based on the target node image.
According to the method for generating a surveillance video provided by the present application, the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: detecting a mutation value in the physical state parameter; and taking the time information corresponding to the mutation value or the time information in a preset duration range corresponding to the mutation value as the target time node.
According to the method for generating a surveillance video provided by the present application, the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes: screening out a reference state parameter from the physical state parameters based on the physical state parameters and a physical state threshold; and taking the time information corresponding to the reference state parameter as the target time node.
According to the method for generating the monitoring video provided by the application, the device monitoring video is generated based on the target node image, and the method comprises the following steps: and arranging the target node images according to time sequence, and synthesizing the target node images into the equipment monitoring video according to a target frame rate.
According to the method for generating the monitoring video provided by the application, the device monitoring video is generated based on the target node image, and the method comprises the following steps: compressing the target node image based on the target definition to obtain a compressed image; and generating the equipment monitoring video based on the compressed image.
According to the method for generating the monitoring video provided by the application, the device monitoring video is generated based on the target node image, and the method comprises the following steps: screening out target monitoring images in a target monitoring period from the target node images; and generating the equipment monitoring video based on the target monitoring image.
According to the monitoring video generation method provided by the application, the physical state parameter is at least one of equipment real-time working current, equipment real-time working voltage, equipment real-time working power and equipment real-time working temperature.
The application also provides a monitoring video generating device, which comprises: the first acquisition module is used for acquiring physical state parameters of the equipment and time information corresponding to the physical state parameters; the second acquisition module is used for acquiring equipment operation images and time information corresponding to the equipment operation images based on a target period threshold; the first determining module is used for determining a target moment node based on the physical state parameter and moment information corresponding to the physical state parameter; the second determining module is used for determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and the generating module is used for generating equipment monitoring video based on the target node image.
The application also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the surveillance video generation method according to any one of the above are realized when the processor executes the program.
The present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the surveillance video generation method as described in any of the above.
According to the monitoring video generation method and device, the physical state parameters and the equipment operation images are obtained, and the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized, so that the equipment monitoring video is obtained, a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for generating a surveillance video according to the present application;
fig. 2 is a schematic structural diagram of a monitoring video generating device provided by the application;
fig. 3 is a schematic structural diagram of an electronic device provided by the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following describes a method and apparatus for generating surveillance video according to the present application with reference to fig. 1 to 3.
As shown in fig. 1, the present application provides a surveillance video generation method, which includes the following steps 110 to 150.
Wherein, step 110, the physical state parameters of the device and the time information corresponding to the physical state parameters are obtained.
It is understood that the physical state parameter of the device may be a physical parameter of the device itself capable of reflecting operation of the device, for example, the physical state parameter may be at least one of a device real-time operating current, a device real-time operating voltage, a device real-time operating power, and a device real-time operating temperature.
Of course, the physical state parameters of the device are not limited to the listed ones, but may be other physical parameters reflecting the operation of the device, which are not particularly limited in this embodiment, and may be selected by those skilled in the art according to the needs.
The time information comprises year, date and time point, and when the equipment operates for more than one day, the time point corresponding to the specific working state of the equipment can be accurately found through the time information.
The physical state parameters of the equipment can be detected by adopting the sensor, for example, the real-time working current of the equipment can be detected by the current sensor, the real-time working voltage of the equipment can be detected by the voltage sensor, the real-time working power of the equipment can be calculated on the basis of obtaining the real-time working current and the real-time working voltage of the equipment, and the real-time working temperature of the equipment can be detected by the temperature sensor.
The sensor is used to detect the physical state parameter of the device in real time, so that the time information corresponding to the physical state parameter can be obtained at the same time, that is, in step 110, a data sequence of the change of the physical state parameter of the device along with time is obtained, and the physical state parameter and the corresponding time information can be drawn through a curve.
The correspondence of the physical state parameter and the time information may be continuous.
Step 120, acquiring a device operation image and time information corresponding to the device operation image based on the target period threshold.
It will be appreciated that a camera may be used to collect the device running image, the lens of the camera may be oriented towards the production device, the running image of the production device is captured according to a certain frequency, the target period threshold is a time interval for collecting the device running image, for example, the target period threshold may be 1 second, and then the camera captures the device running image once per second.
The camera can be started when the equipment is started, or the camera is started before the equipment is started. Therefore, in a period of time when the equipment operates, a plurality of acquired equipment operation images can be obtained, and the time information corresponding to the equipment operation images can be acquired at the same time, wherein the time information is the shooting time of the equipment operation images.
Step 130, determining the target time node based on the physical state parameter and the time information corresponding to the physical state parameter.
It can be understood that the target time node may be found from the physical state parameters according to a preset rule, for example, time information corresponding to a sudden change value in the physical state parameters may be found as the target time node, the physical state parameters may be compared with the physical state threshold, time information corresponding to a physical state parameter not within the physical state threshold may be used as the target time node, and a specific preset rule may be determined by a person skilled in the art according to the need without limiting the preset rule.
The target moment node is a key time node for the operation of the equipment, and the target moment node found according to the preset rule can reflect the abnormal operation time point of the equipment, so that the equipment may have a fault or other abnormal conditions, and the working state of the equipment corresponding to the time point can be focused.
And 140, determining a target node image from the equipment operation image based on the target time node and the time information corresponding to the equipment operation image.
It can be understood that the equipment operation image is correspondingly marked with time information, that is, the shooting time of the equipment operation image, and at this time, according to the target time node, the target time node is found from the time information corresponding to the equipment operation image, so that the equipment operation image shot by the camera at the target time node can be found.
For example, the target time node is 2021, 1 month, 1 day 22:15:30, the corresponding physical state information is suddenly changed, for example, the real-time working current of the device is changed from 5A to 0A, and at this time, according to the time information corresponding to the running image of the device, the camera is found 22 in 2021, 1 month and 1 day: 15:30, the photographed device running image.
And taking the equipment operation image corresponding to the target time node as a target node image.
The target node images are selected from the device operational images, so the number of target node images may be less than the number of device operational images.
And 150, generating a device monitoring video based on the target node image.
It can be appreciated that the plurality of target node images may be arranged in a time sequence, and the plurality of target node images may be synthesized into the device monitoring video.
The device monitoring video may be periodic, that is, may be divided into a plurality of target monitoring periods, and when the device monitoring video is synthesized, the plurality of target node images may be classified according to the target monitoring periods, so as to synthesize a plurality of device monitoring videos, that is, device monitoring videos corresponding to the plurality of target monitoring periods.
The device monitoring video generated in the embodiment contains the running image of the device at the target node, so that a user can conveniently check the image of the abnormal running time point of the device, the user does not need to check frame by frame in the lengthy real-time monitoring video, the user can conveniently find faults in time, and the working efficiency can be improved.
It should be noted that after the target node image is obtained, a target recognition algorithm may be adopted to find a target object in the target node image and mark the target object, for example, a personnel image area may be found in the target node image, and the personnel image area is marked by a rectangular frame, so that the personnel image area is marked in the corresponding generated equipment monitoring video.
According to the monitoring video generation method, the physical state parameters and the equipment operation images are obtained, and the target node images corresponding to the target time nodes determined according to the physical state parameters are synthesized to obtain the equipment monitoring video, so that a user can find equipment faults in time conveniently, and the monitoring efficiency of the user on the equipment can be improved.
In some embodiments, the determining the target time node in step 130 based on the physical state parameter and the time information corresponding to the physical state parameter includes: detecting a mutation value in the physical state parameter; and taking the time information corresponding to the mutation value or the time information in a preset duration range corresponding to the mutation value as a target time node.
It will be appreciated that the physical state parameter may be detected to determine a sudden change in the physical state parameter, i.e. a value of a sudden change in the physical state parameter, such as a change in real-time operating current of the device from 5A to 0A.
When the physical state parameter is suddenly changed in the operation process of the mechanical equipment or the electronic equipment, the mechanical equipment or the electronic equipment often has a fault or other abnormal conditions, the sudden change value can be focused, and the time corresponding to the sudden change value can be used as a target time node.
And the target node image is selected by utilizing the moment corresponding to the abrupt change value, so that the accuracy of anomaly monitoring can be improved.
Of course, the time information in the preset time range corresponding to the mutation value may be used as the target time node, that is, the time information of the time point where the mutation value occurs in the preset time range is paid attention to, where the preset time range may be the last 5 seconds of the time point where the mutation value occurs, the first 5 seconds of the time point where the mutation value occurs, or the first 5 seconds plus the last 5 seconds of the time point where the mutation value occurs, and the time in the preset time range is used as the target time node, where the minimum unit of the time information may be seconds.
In some embodiments, the determining the target time node in step 130 based on the physical state parameter and the time information corresponding to the physical state parameter includes: screening out a reference state parameter from the physical state parameters based on the physical state parameters and the physical state threshold; and taking the time information corresponding to the reference state parameter as a target time node.
It will be appreciated that the physical state threshold may be preset, and may include: the current threshold, the voltage threshold, the power threshold or the temperature threshold may be compared with a physical state parameter and a physical state threshold, for example, a physical state parameter exceeding the physical state threshold may be found, and time information corresponding to the physical state parameter may be used as a target time node.
Therefore, the physical state parameters exceeding the physical state threshold can be found out, the corresponding time is determined, the time when the equipment runs beyond the limit can be monitored, and the equipment monitoring efficiency can be further improved.
In some embodiments, the generating the device monitoring video in step 150 includes: and arranging the target node images according to the time sequence, and synthesizing the target node images into a device monitoring video according to the target frame rate.
It may be appreciated that after determining the target node images, the target node images may be ordered according to their corresponding time information, and the target node images may be synthesized into the device monitoring video according to a predetermined target frame rate and time sequence.
For example, the target frame rate may be 5 pieces/second, and the target frame rate may be manually set according to the requirement, so that the operation state of the video display apparatus may be monitored by the apparatus.
In some embodiments, the generating the device monitoring video in step 150 includes: compressing the target node image based on the target definition to obtain a compressed image; based on the compressed image, a device monitoring video is generated.
It can be understood that, before the device monitoring video is generated, the target node image can be compressed, that is, the target node image can be compressed according to the set target definition, so as to reduce the definition of the target node image.
Firstly converting the target node image into a compressed image, and then synthesizing the compressed image to obtain the equipment monitoring video.
Therefore, the storage space occupied by the equipment monitoring video can be properly reduced while the definition is ensured.
In some embodiments, the generating the device monitoring video in step 150 includes: screening out target monitoring images in a target monitoring period from the target node images; and generating a device monitoring video based on the target monitoring image.
It can be understood that the target monitoring period can be set, that is, the period of equipment monitoring is set, the target node images are classified according to time information and are respectively classified into different target monitoring periods, so that the range of the equipment monitoring video can be further segmented, and a user can select the equipment monitoring video to view according to the period.
The device monitoring video can be indexed according to the target monitoring period, so that a user can conveniently and rapidly find the device monitoring video in the corresponding period, and the monitoring efficiency can be improved.
The monitoring video generating device provided by the application is described below, and the monitoring video generating device described below and the monitoring video generating method described above can be correspondingly referred to each other.
As shown in fig. 2, the present application provides a surveillance video generation apparatus including: the first acquisition module 210, the second acquisition module 220, the first determination module 230, the second determination module 240, and the generation module 250.
The first obtaining module 210 is configured to obtain a physical state parameter of the device and time information corresponding to the physical state parameter.
The second obtaining module 220 is configured to obtain the device running image and time information corresponding to the device running image based on the target period threshold.
The first determining module 230 is configured to determine the target time node based on the physical state parameter and the time information corresponding to the physical state parameter.
The second determining module 240 is configured to determine the target node image from the device running image based on the target time node and time information corresponding to the device running image.
The generating module 250 is configured to generate a device monitoring video based on the target node image.
In some embodiments, the first determining module 210 is further configured to detect a sudden change value in the physical state parameter; and taking the time information corresponding to the mutation value or the time information in a preset duration range corresponding to the mutation value as the target time node.
In some embodiments, the first determining module 210 is further configured to screen out a reference state parameter from the physical state parameters based on the physical state parameters and a physical state threshold; and taking the time information corresponding to the reference state parameter as the target time node.
In some embodiments, the generating module 250 is further configured to arrange the target node images according to a time sequence, and synthesize the target node images into the device monitoring video according to a target frame rate.
In some embodiments, the generating module 250 is further configured to compress the target node image based on the target definition, to obtain a compressed image; and generating the equipment monitoring video based on the compressed image.
In some embodiments, the generating module 250 is further configured to screen the target monitoring image in the target monitoring period from the target node image; and generating the equipment monitoring video based on the target monitoring image.
In some embodiments, the physical state parameter is at least one of a device real-time operating current, a device real-time operating voltage, a device real-time operating power, and a device real-time operating temperature.
The embodiment of the application provides a monitoring video generating device for executing the monitoring video generating method, and the specific implementation mode and the implementation mode of the monitoring video generating device are consistent, and can achieve the same beneficial effects, and are not repeated here.
Fig. 3 illustrates a physical schematic diagram of an electronic device, as shown in fig. 3, where the electronic device may include: processor 310, communication interface (Communications Interface) 320, memory 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform a surveillance video generation method comprising: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and generating a device monitoring video based on the target node image.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present application also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the surveillance video generation method provided by the above methods, the method comprising: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and generating a device monitoring video based on the target node image.
In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above-provided surveillance video generation methods, the method comprising: acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target period threshold; determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter; determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image; and generating a device monitoring video based on the target node image.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. The monitoring video generation method is characterized by comprising the following steps of:
acquiring physical state parameters of equipment and time information corresponding to the physical state parameters; the physical state parameters of the equipment are self physical parameters capable of reflecting the operation of the equipment;
acquiring an equipment operation image and time information corresponding to the equipment operation image based on a target period threshold;
determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter;
determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image;
generating a device monitoring video based on the target node image; the generating a device monitoring video based on the target node image comprises the following steps: a target object is found in the target node image by adopting a target recognition algorithm, and the target object is marked; setting a target monitoring period; screening target monitoring images in different target monitoring periods from the target node images; generating the equipment monitoring video based on the target monitoring image; the set target monitoring period is a period of set equipment monitoring; establishing an index for the equipment monitoring video according to the target monitoring period;
the generating a device monitoring video based on the target node image further includes: before the equipment monitoring video is generated, compressing the target node image according to the set target definition, reducing the definition of the target node image, and synthesizing the compressed image to obtain the equipment monitoring video.
2. The method for generating surveillance video according to claim 1, wherein the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes:
detecting a mutation value in the physical state parameter;
and taking the time information corresponding to the mutation value or the time information in a preset duration range corresponding to the mutation value as the target time node.
3. The method for generating surveillance video according to claim 1, wherein the determining a target time node based on the physical state parameter and the time information corresponding to the physical state parameter includes:
screening out a reference state parameter from the physical state parameters based on the physical state parameters and a physical state threshold;
and taking the time information corresponding to the reference state parameter as the target time node.
4. The method for generating a monitoring video according to claim 1, wherein generating a device monitoring video based on the target node image comprises:
and arranging the target node images according to time sequence, and synthesizing the target node images into the equipment monitoring video according to a target frame rate.
5. The method of any one of claims 1 to 4, wherein the physical state parameter is at least one of a device real-time operating current, a device real-time operating voltage, a device real-time operating power, and a device real-time operating temperature.
6. A surveillance video generation apparatus, comprising:
the first acquisition module is used for acquiring physical state parameters of the equipment and time information corresponding to the physical state parameters; the physical state parameters of the equipment are self physical parameters capable of reflecting the operation of the equipment;
the second acquisition module is used for acquiring equipment operation images and time information corresponding to the equipment operation images based on a target period threshold;
the first determining module is used for determining a target moment node based on the physical state parameter and moment information corresponding to the physical state parameter;
the second determining module is used for determining a target node image from the equipment operation image based on the target time node and time information corresponding to the equipment operation image;
the generation module is used for generating equipment monitoring video based on the target node image; the generating a device monitoring video based on the target node image comprises the following steps: a target object is found in the target node image by adopting a target recognition algorithm, and the target object is marked; setting a target monitoring period; screening target monitoring images in different target monitoring periods from the target node images; generating the equipment monitoring video based on the target monitoring image; the set target monitoring period is a period of set equipment monitoring; establishing an index for the equipment monitoring video according to the target monitoring period; the generation module is also used for compressing the target node image according to the set target definition before generating the equipment monitoring video, reducing the definition of the target node image, and synthesizing the compressed image to obtain the equipment monitoring video.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the surveillance video generation method according to any of claims 1 to 5 when the program is executed by the processor.
8. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the surveillance video generation method according to any of claims 1 to 5.
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