CN111371984A - Method and device for determining abnormality of snapshot machine and storage medium - Google Patents
Method and device for determining abnormality of snapshot machine and storage medium Download PDFInfo
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- CN111371984A CN111371984A CN201910518132.6A CN201910518132A CN111371984A CN 111371984 A CN111371984 A CN 111371984A CN 201910518132 A CN201910518132 A CN 201910518132A CN 111371984 A CN111371984 A CN 111371984A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
- H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
- H04N23/662—Transmitting camera control signals through networks, e.g. control via the Internet by using master/slave camera arrangements for affecting the control of camera image capture, e.g. placing the camera in a desirable condition to capture a desired image
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The application discloses a method and a device for determining abnormality of a snapshot machine and a storage medium, and belongs to the field of monitoring. The method comprises the following steps: determining at least one snapshot unit corresponding to a first snapshot machine, wherein the first snapshot machine is a snapshot machine for snapshotting a target snapshot object; judging whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot machine set corresponding to the first snapshot machine; wherein, the distance of second snapshot machine and first snapshot machine is less than the distance of third snapshot machine and first snapshot machine, and the condition of taking a candid photograph includes: capturing a target capturing object in a first time period after the first capturing machine captures the target capturing object; and when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions, determining that the second snapshot machine is abnormal. The technical scheme provided by the embodiment of the application can improve the efficiency of determining whether the snapshot machine is in an abnormal state.
Description
Technical Field
The present disclosure relates to the field of monitoring technologies, and in particular, to a method and an apparatus for determining an abnormality of a snapshot machine, and a storage medium.
Background
The snapshot machine is a monitoring device capable of taking a snapshot of a snapshot object of an area taken by the snapshot machine, wherein the snapshot object of the snapshot machine may be a vehicle or a person in general. Taking the example that the snapshot object is a vehicle, when the snapshot machine shoots an illegal vehicle such as hit-and-run or overspeed, alarm information can be triggered, so that related departments such as public security can dispose the illegal vehicle in time according to the alarm information. In practical application, some snapshot machines are likely to be abnormal due to faults or improper installation angles, and therefore false reports are generated, wherein the false reports mean that the snapshot machines do not trigger alarm information on specific snapshot objects (such as illegal vehicles). In order to avoid missing report of the snapshot machine, it is necessary to determine which snapshot machine is in an abnormal state, and then repair the snapshot machine.
In the related art, monitoring technicians need to manually check the snapshot machines installed in the road one by one at intervals to determine whether the snapshot machine in an abnormal state exists.
However, the method of determining whether the snapshot machine is in an abnormal state through manual examination is time-consuming and inefficient.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining the abnormity of a snapshot machine and a storage medium, so that the time consumed for determining whether the snapshot machine is in an abnormal state can be reduced, and the efficiency for determining whether the snapshot machine is in the abnormal state can be improved. The technical scheme is as follows:
in a first aspect, a method for determining an abnormality of a snapshot machine is provided, the method comprising:
determining at least one snapshot unit corresponding to a first snapshot machine, wherein the first snapshot machine is a snapshot machine for snapshotting a target snapshot object, each snapshot unit corresponding to the first snapshot machine comprises at least three snapshot machines, and the at least three snapshot machines comprise the first snapshot machine;
judging whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot machine set corresponding to the first snapshot machine; wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine, and the snapshot conditions include: capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object;
and when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions, determining that the second snapshot machine is abnormal.
Optionally, the third snapshot machine is: and the snapshot machine which is farthest away from the first snapshot machine is selected from the at least three snapshot machines except the first snapshot machine.
Optionally, the shooting directions of the at least three capturing machines are consistent.
Optionally, before the determining at least one capturing unit corresponding to the first capturing machine, the method further includes:
determining at least one snapshot unit corresponding to each of a plurality of snapshot machines, wherein the plurality of snapshot machines comprise the first snapshot machine;
the at least one snapshot unit corresponding to the first snapshot machine is determined, and the method comprises the following steps:
searching for the first snapshot machine which takes a snapshot of the target snapshot object in the plurality of snapshot machines;
and searching at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
Optionally, the method further comprises:
when the second snapshot machine does not snapshot a snapshot object in the first time period, determining that the second snapshot machine is in fault;
or when the first snapshot machine takes a snapshot of x snapshot objects in the first time period, the third snapshot machine takes a snapshot of y1 snapshot objects in the x snapshot objects in the first time period, and the second snapshot machine takes a snapshot of y2 snapshot objects in the x snapshot objects in the first time period, if y1 is greater than or equal to z and greater than y2, determining that the second snapshot machine is faulty; wherein z is a number threshold.
In a second aspect, there is provided an apparatus for determining abnormality of a snapshot machine, the apparatus for determining abnormality of a snapshot machine comprising:
the device comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining at least one snapshot unit corresponding to a first snapshot machine, the first snapshot machine is a snapshot machine for snapshotting a target snapshot object, each snapshot unit corresponding to the first snapshot machine comprises at least three snapshot machines, and the at least three snapshot machines comprise the first snapshot machine;
the judging module is used for judging whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot unit corresponding to the first snapshot machine; wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine, and the snapshot conditions include: capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object;
and the second determining module is used for determining that the second snapshot machine is abnormal when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions.
Optionally, the third snapshot machine is: and the snapshot machine which is farthest away from the first snapshot machine is selected from the at least three snapshot machines except the first snapshot machine.
Optionally, the shooting directions of the at least three capturing machines are consistent.
Optionally, the apparatus for determining abnormality of the snapshot machine further includes:
the third determining module is used for determining at least one capturing unit corresponding to each capturing machine in a plurality of capturing machines, and the plurality of capturing machines comprise the first capturing machine;
the first determination module is to:
searching for the first snapshot machine which takes a snapshot of the target snapshot object in the plurality of snapshot machines;
and searching at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
Optionally, the apparatus for determining abnormality of the snapshot machine further includes:
a fourth determining module, configured to determine that the second snapshot machine is faulty when the second snapshot machine does not snapshot the object in the first time period;
or, a fifth determining module, configured to determine that the second snapshot machine fails if y1 is greater than or equal to z > y2, when the first snapshot machine takes x snapshot objects in the first time period, the third snapshot machine takes y1 snapshot objects in the x snapshot objects in the first time period, and the second snapshot machine takes y2 snapshot objects in the x snapshot objects in the first time period; wherein z is a number threshold.
In a third aspect, a server is provided, the server comprising a processor and a memory;
wherein, the memory is used for storing computer programs;
the processor is configured to execute the program stored in the memory to implement the method for determining an abnormality of the snapshot machine according to any one of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processing component, is capable of implementing the method of determining a snapshot machine anomaly as described in any one of the first aspects above.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
the server may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine is determined to snapshot the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the server may regard the second snapshot machine as an abnormal snapshot machine. Therefore, whether the snapshot machine is in the abnormal state or not does not need to be determined through manual examination, time consumption for determining whether the snapshot machine is in the abnormal state or not can be reduced, and efficiency for determining whether the snapshot machine is in the abnormal state or not is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;
FIG. 2 is a flowchart of a method for determining an anomaly of a snapshot machine according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a method for determining an anomaly of a snapshot machine according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a geographically adjacent snapshot machine provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of a geographically adjacent snapshot machine provided by an embodiment of the present application;
FIG. 6 is a block diagram of an apparatus for determining an anomaly of a snapshot machine according to an embodiment of the present disclosure;
FIG. 7 is a block diagram of another apparatus for determining an anomaly of a snapshot machine according to an embodiment of the present disclosure;
FIG. 8 is a block diagram of another apparatus for determining an anomaly of a snapshot machine according to an embodiment of the present disclosure;
fig. 9 is a block diagram of a server according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
At present, the application of the snapshot machine in the field of traffic security and protection is more and more extensive. The snapshot machine may be installed in a road or a gate, etc. area, and is used to snapshot a snapshot object in the area photographed by the snapshot machine. In general, the object to be captured by the capturing device may be a vehicle, a person, or the like, and the embodiment of the present application will be described by taking the example in which the object to be captured by the capturing device is a vehicle.
In practical applications, the snapshot machine can take a snapshot of every vehicle in the area shot by the snapshot machine, or the snapshot machine can take a snapshot of some specific vehicles (for example, vehicles violating traffic regulations, such as speeding vehicles) in the area shot by the snapshot machine.
Firstly, the snapshot machine takes a snapshot of each vehicle in the shooting area through the snapshot machine.
In one possible implementation, after capturing an image of a certain vehicle (hereinafter referred to as a vehicle a), the capturing machine may analyze the captured image, so as to obtain vehicle information of the vehicle a according to the image. The vehicle information may include at least one of a license plate number, a driving direction, a body color, a license plate color, and a vehicle model of the vehicle. Then, the snapshoter may transmit the vehicle information of the vehicle a to the server, and the server may query an illegal vehicle database according to the vehicle information of the vehicle a, where the vehicle information of an illegal vehicle, such as hit-and-run or theft, may be stored in the illegal vehicle database. When the server inquires the vehicle information of the vehicle a in the illegal vehicle database, the vehicle a is indicated as an illegal vehicle, and in this case, the server may generate alarm information for the vehicle a.
In another possible implementation manner, the snapshot machine may locally store the illegal vehicle database, and after the image of the vehicle a is captured, the snapshot machine may analyze the captured image, so as to obtain the vehicle information of the vehicle a according to the image. Then, the snapshot machine can query the illegal vehicle database stored in the local according to the vehicle information of the vehicle a to determine whether the vehicle a is an illegal vehicle. When the vehicle A is an illegal vehicle, the snapshot machine can generate alarm information aiming at the vehicle A and send the alarm information to the server.
In yet another possible implementation manner, after capturing the image of the vehicle a, the capturing machine may send the image of the vehicle a to the server to analyze the image by the server, so as to obtain the vehicle information of the vehicle a according to the image. After the server acquires the vehicle information of the vehicle a, the server may query an illegal vehicle database according to the vehicle information to determine whether the vehicle a is an illegal vehicle. When the vehicle a is an illegal vehicle, the server may generate alarm information for the vehicle a.
And secondly, the snapshot machine takes a snapshot of some specific vehicles in the shooting area through the snapshot machine.
In one possible implementation, after capturing an image of a certain vehicle (hereinafter referred to as a vehicle B), the capturing machine may analyze the captured image, so as to obtain vehicle information of the vehicle B from the image. After the vehicle information of the vehicle B is acquired, the snapshot machine may generate alarm information for the vehicle B according to the vehicle information of the vehicle B, and send the alarm information to the server.
In another possible implementation manner, after capturing the image of the vehicle B, the capturing machine may send the image of the vehicle B to the server to analyze the image by the server, so as to obtain the vehicle information of the vehicle B according to the image. After the server acquires the vehicle information of the vehicle B, the server may generate the warning information for the vehicle B according to the vehicle information of the vehicle B.
In practical application, some snapshot machines are likely to be abnormal due to faults or improper installation angles, and the like, so that false alarm is generated. In order to avoid missing report of the snapshot machine, the snapshot machine in the abnormal state needs to be positioned, that is, which snapshot machine is in the abnormal state is determined, and then the snapshot machine in the abnormal state is repaired. For convenience of explanation, "a snapshot machine in an abnormal state" is hereinafter collectively referred to as "an abnormal snapshot machine".
The related art can position the abnormal snapshot machine in a manual checking mode, however, the mode is time-consuming and low in efficiency.
The embodiment of the application provides a method for determining abnormity of a snapshot machine, so that time consumed for positioning the abnormal snapshot machine can be reduced, and efficiency of positioning the abnormal snapshot machine is improved. In the method for determining the abnormality of the snapshot machine, the server may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine snapshots the target snapshot object after determining that the first snapshot machine snapshots the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the server may regard the second snapshot machine as an abnormal snapshot machine. Therefore, the abnormal snapshot machine does not need to be positioned through manual examination, so that the time consumed for positioning the abnormal snapshot machine can be reduced, and the efficiency for positioning the abnormal snapshot machine is improved.
Next, an implementation environment related to the method for determining an abnormality of a snapshot machine provided in the embodiment of the present application will be described.
Fig. 1 is a schematic diagram of an implementation environment related to a method for determining an anomaly of a snapshot machine according to an embodiment of the present application, and as shown in fig. 1, the implementation environment may include a plurality of snapshot machines 10 (only one snapshot machine 10 is shown in fig. 1) and a server 20. Each of the snap-shooting machines 10 may communicate with the server 20 by wire or wirelessly. The server 20 may be one server or a server cluster including a plurality of servers.
Fig. 2 is a flowchart illustrating a method of determining an abnormality of a snapshot machine, which is used in the server 20 illustrated in fig. 1, according to an exemplary embodiment, and includes the following steps, as illustrated in fig. 2:
102, the server judges whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot machine set corresponding to the first snapshot machine; wherein, the distance of second snapshot machine and first snapshot machine is less than the distance of third snapshot machine and first snapshot machine, and the condition of taking a candid photograph includes: and capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object.
And 103, when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions, the server determines that the second snapshot machine is abnormal.
In summary, in the method for determining abnormality of the snapshot machine provided in the embodiment of the present application, the server may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine snapshots the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the server may regard the second snapshot machine as an abnormal snapshot machine. Therefore, whether the snapshot machine is in the abnormal state or not does not need to be determined through manual examination, time consumption for determining whether the snapshot machine is in the abnormal state or not can be reduced, and efficiency for determining whether the snapshot machine is in the abnormal state or not is improved.
FIG. 3 is a flowchart illustrating a method of determining a snapshot machine anomaly used in the implementation environment shown in FIG. 1 according to an exemplary embodiment, and including the steps of:
The server may store therein a set of snapping machines C1, which set of snapping machines C1 may include a plurality of snapping machines. In step 201, the server needs to acquire a snapshot unit corresponding to each snapshot machine in the snapshot machine set C1.
The server may acquire the set of snapshot machines C1 in various ways. For example, the snapshot machine set C1 may be determined by the server from road network data, which refers to identification data of the snapshot machines installed on roads, and geographical location data, and the snapshot machine set C1 may include all the snapshot machines installed in a certain urban road or a gate. For another example, the set of snap shots C1 may be input into the server by a human operator. The embodiment of the invention does not limit the way in which the server acquires the snapshot machine set C1.
Each of the plurality of capturing units corresponding to each of the plurality of capturing units may include at least three capturing units, and the at least three capturing units include each of the plurality of capturing units. In the at least three capturing machines except for each capturing machine, the distances between the two capturing machines and each capturing machine are different.
Optionally, the shooting directions of the at least three capturing machines are the same, that is, the shooting directions of the capturing machines in each capturing unit are the same. For example, a certain snapshot set includes: the three capturing machines can be sequentially arranged from east to west, and the shooting direction of each capturing machine in the three capturing machines can be towards west. Of course, the shooting directions of at least three capturing machines in each capturing unit may not be consistent, which is not limited in the embodiment of the present invention.
Alternatively, the at least three snap-shots may be geographically adjacent in sequence. It should be noted that the geographically adjacent capturing devices mean capturing devices installed adjacent to each other on a road or a gate. For example, as shown in fig. 4, if the snapshot machine S1, the snapshot machine S2, and the snapshot machine S3 are installed adjacent to each other on the road L, the snapshot machine S1, the snapshot machine S2, and the snapshot machine S3 may be referred to as being adjacent to each other in the geographical position.
When the server acquires each snapshot unit corresponding to each snapshot machine in the snapshot machine set C1, the server may acquire the corresponding snapshot unit according to the characteristics of the snapshot units. A process of acquiring, by a server, a snapshot machine sequence corresponding to the snapshot machine D in the snapshot machine set C1 will be described as an example below:
for example, the server may query the road network data to determine the geographic location where the snapshot machine D is installed, and then obtain, according to the geographic location where the snapshot machine D is installed, a plurality of snapshot machines that are sequentially adjacent to the snapshot machine D in the geographic location in each extending direction of the road or the gate, so as to obtain a plurality of snapshot machine sets. Wherein, every snapshot unit includes this snapshot machine D to and with snapshot machine D a plurality of snapshots adjacent in proper order on geographical position.
For example, as shown in fig. 5, the candid camera D may be installed at the intersection F, and the extending direction of the road may include an x1 direction, an x2 direction, a y1 direction, and a y2 direction.
The server can acquire a snapshot machine x11 and a snapshot machine x12 which are sequentially adjacent to the snapshot machine D along the x1 direction, and a snapshot unit 1 comprising the snapshot machine D, the snapshot machine x11 and the snapshot machine x12 is obtained;
the server can acquire a snapshot machine x21 and a snapshot machine x22 which are sequentially adjacent to the snapshot machine D along the x2 direction, and a snapshot unit 2 comprising the snapshot machine D, the snapshot machine x21 and the snapshot machine x22 is obtained;
the server can acquire a snapshot machine y11 and a snapshot machine y12 which are sequentially adjacent to the snapshot machine D along the y1 direction, and a snapshot machine group 3 comprising the snapshot machine D, the snapshot machine y11 and the snapshot machine y12 is obtained;
the server can acquire the snapping machine y21 and the snapping machine y22 which are adjacent to the snapping machine D in sequence along the y2 direction, and the snapping unit 4 comprising the snapping machine D, the snapping machine y21 and the snapping machine y22 is obtained.
Thus, the server can obtain 4 snapshot units, namely a snapshot unit sequence group 1, a snapshot unit group 2, a snapshot unit group 3 and a snapshot unit group 4.
Alternatively, the server may store each of the capturing units in a sequential manner, and at this time, in each capturing unit corresponding to each capturing machine, the capturing machine ranked first is the capturing machine. Optionally, the other capturing machines in each capturing unit may be sequentially arranged from near to far according to the distance from the first capturing machine. Of course, the server may not store the snapshot units in a sequential manner, which is not limited in the embodiment of the present invention.
It should be noted that the plurality of capturing machines in step 201 includes the first capturing machine mentioned in step 202.
An alarm information database may be maintained in the server, and the alarm information database stores the alarm information of the snapshot object triggered by the snapshot machine in the snapshot machine set C1 after the snapshot of the specified snapshot object. In step 202, the server may search for a snapshot machine that triggered the alarm information of the target snapshot object and determine the snapshot machine as the first snapshot machine. The target snapshot object may be any snapshot object that any snapshot machine in the set of snapshot machines C1 needs to take a snapshot.
It should be noted that, in the embodiment of the present invention, the server determines the first snapshot machine through the alarm information database as an example, optionally, the server may also determine the first snapshot machine that takes a snapshot of the target snapshot object through other manners, which is not limited in the embodiment of the present invention.
And 203, the server searches for at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
After the server determines the capturing units corresponding to the plurality of capturing machines and the first capturing machine, at least one capturing unit corresponding to the first cleanup additive can be searched in the capturing units corresponding to the plurality of capturing machines. Every snapshot unit that first snapshot machine corresponds includes at least three snapshot machine, and at least three snapshot machine includes first snapshot machine.
And step 204, the server judges whether the second snapshot machine and the third snapshot machine meet the snapshot conditions or not based on the snapshot data of the second snapshot machine and the third snapshot machine in each snapshot machine set corresponding to the first snapshot machine.
Wherein, the distance of second snapshot machine and first snapshot machine is less than the distance of third snapshot machine and first snapshot machine, optionally, the third snapshot machine can be: and in the snapshot machines except the first snapshot machine in each snapshot machine set corresponding to the first snapshot machine, the snapshot machine farthest from the first snapshot machine.
The snapshot conditions include: and capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object. Optionally, each capturing unit corresponding to the first capturing machine may include n capturing machines, where n is greater than or equal to 3. The difference between the duration of the first time period and the average duration of the snapshot object (for example, a vehicle) of the snapshot machine required by n snapshot machines is less than or equal to a target difference threshold, which may be set by a technician, and is not specifically limited in the embodiment of the present application.
After the server determines the first snapshot machine, the server needs to determine a second snapshot machine and a third snapshot machine within a first time period, and detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within the first time period, so as to determine whether the second snapshot machine and the third snapshot machine meet the snapshot conditions.
For example, when detecting whether each of the second and third snapping machines meets the snapping condition, the server may search, in the alarm information database, whether the snapping machine starts the alarm information of the target snapping object within the first time period. When the snapshot machine triggers the alarm information of the target snapshot object in the first time period, the server can determine that the snapshot machine meets the snapshot condition. When the snapshot machine does not trigger the alarm information of the target snapshot object within the first time period, the server may determine that the snapshot machine does not satisfy the snapshot condition.
For example, in the above example, when the target snaps the object 12:00, passes through the shooting area of the snapping machine D, and travels in the y1 direction, in 12: the shooting area through the snapshot machine y11 at 05 and the shooting area through the snapshot machine y12 at 12: 10. The second snapshot machine in the snapshot unit 1 is the snapshot machine y11, and the third snapshot machine is the snapshot machine y 12. If the snapshot machine y11 does not snapshot the target snapshot object in the first time period (for example, the target snapshot object is not snapshot at 12: 05), and the snapshot machine y12 snapshots the target snapshot object in the first time period (for example, the time duration is 11 minutes) (for example, the target snapshot object is snapshot at 12: 10), it may be determined that the snapshot machine y11 does not satisfy the snapshot condition, and the snapshot machine y12 satisfies the snapshot condition.
And step 205, when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions, the server determines that the second snapshot machine is abnormal.
When the determination result in step 204 is: the second snapshot machine does not meet the snapshot condition, and the third snapshot machine meets the snapshot condition, then the server can determine that the first snapshot machine and the third snapshot machine snapshot the target snapshot object in the first time period, so that the target snapshot object runs in a single way along the direction from the first snapshot machine to the third snapshot machine. In this case, there is a high probability that the target object will pass through the shooting area of the second snapshot machine. If the second snapshot machine is in a normal state, the second snapshot machine can capture the target snapshot object, otherwise, if the second snapshot machine does not capture the target snapshot object, the second snapshot machine is probably in an abnormal state. At this time, it may be determined that the second snapshot machine is abnormal.
Optionally, the server may further determine whether the abnormal snapshot machine is a faulty snapshot machine.
On the one hand, the server can also detect the snapshot objects that are snapshot by the second snapshot machine in the first time period, and when the second snapshot machine does not snapshot any snapshot object in the first time period, the server can determine that the second snapshot machine is in fault.
On the other hand, the server can also detect the snapshot objects which are snapshot by the first snapshot machine, the second snapshot machine and the third snapshot machine in the first time period. When the first snapshot machine takes a snapshot of x snapshot objects in a first time period, the third snapshot machine takes a snapshot of y1 snapshot objects in the x snapshot objects in the first time period, and the second snapshot machine takes a snapshot of y2 snapshot objects in the x snapshot objects in the first time period, if y1 is more than or equal to z and more than y2, determining that the second snapshot machine is in fault; wherein z is a number threshold. When y1 is larger than or equal to z and larger than y2, the number of the objects to be captured by the third capturing machine in the first time period is larger than or equal to the number threshold, and the number of the objects to be captured by the second capturing machine in the first time period is smaller than the number threshold. At this time, the number of the snap-shot objects snapped by the second snap-shot machine in the first time period is small, which indicates that the second snap-shot machine is in fault.
In summary, in the method for determining abnormality of the snapshot machine provided in the embodiment of the present application, the server may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine snapshots the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the server may regard the second snapshot machine as an abnormal snapshot machine. Therefore, whether the snapshot machine is in the abnormal state or not does not need to be determined through manual examination, time consumption for determining whether the snapshot machine is in the abnormal state or not can be reduced, and efficiency for determining whether the snapshot machine is in the abnormal state or not is improved.
Fig. 6 is a block diagram illustrating an apparatus 300 for determining an abnormality of a snapshot machine according to an exemplary embodiment, the apparatus 300 for determining an abnormality of a snapshot machine may be provided in the server 20 illustrated in fig. 1, and the apparatus 300 for determining an abnormality of a snapshot machine includes: a first determining module 301, a judging module 302 and a second determining module 303.
The first determining module 301 is configured to determine at least one capturing unit corresponding to a first capturing machine, where the first capturing machine is a capturing machine that captures a target capturing object, each capturing unit corresponding to the first capturing machine includes at least three capturing machines, and the at least three capturing machines include the first capturing machine;
the judging module 302 is configured to judge whether the second snapshot machine and the third snapshot machine meet snapshot conditions based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot unit corresponding to the first snapshot machine; wherein, the distance of second snapshot machine and first snapshot machine is less than the distance of third snapshot machine and first snapshot machine, and the condition of taking a candid photograph includes: capturing a target capturing object in a first time period after the first capturing machine captures the target capturing object;
the second determining module 303 is configured to determine that the second snapshot machine is abnormal when the second snapshot machine does not meet the snapshot condition and the third snapshot machine meets the snapshot condition.
To sum up, in the device for determining the abnormality of the snapshot machine provided in the embodiment of the present application, the determining module may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine is determined to snapshot the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the second determination module may regard the second snapshot machine as an abnormal snapshot machine. Therefore, whether the snapshot machine is in the abnormal state or not does not need to be determined through manual examination, time consumption for determining whether the snapshot machine is in the abnormal state or not can be reduced, and efficiency for determining whether the snapshot machine is in the abnormal state or not is improved.
Optionally, the third snapshot machine is: among the at least three candid cameras except the first candid camera, the candid camera farthest from the first candid camera.
Optionally, the shooting directions of at least three of the capturing machines are consistent.
Optionally, fig. 7 is another apparatus for determining an abnormality of a snapshot machine according to an embodiment of the present invention, as shown in fig. 7, on the basis of fig. 6, the apparatus 300 for determining an abnormality of a snapshot machine further includes: a third determining module 304, configured to determine at least one capturing unit corresponding to each capturing machine in the multiple capturing machines, where the multiple capturing machines include the first capturing machine;
the first determining module 301 is configured to: searching a first snapshot machine for snapshotting a target snapshot object in a plurality of snapshot machines; and searching at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
Optionally, with continuing reference to fig. 7, the apparatus for determining abnormality of the snapshot machine further includes: a fourth determining module 305, configured to determine that the second capturing machine is faulty when the second capturing machine does not capture the captured object within the first time period;
alternatively, as shown in fig. 8, the apparatus for determining abnormality of the snapshot machine further includes: a fifth determining module 306, configured to determine that the second capturing machine fails if y1 is greater than or equal to z > y2, when the first capturing machine captures x captured objects in the first time period, the third capturing machine captures y1 captured objects in the x captured objects in the first time period, and the second capturing machine captures y2 captured objects in the x captured objects in the first time period; wherein z is a number threshold.
To sum up, in the device for determining the abnormality of the snapshot machine provided in the embodiment of the present application, the determining module may detect whether the second snapshot machine and the third snapshot machine snapshot the target snapshot object within a first time period after the first snapshot machine is determined to snapshot the target snapshot object. Wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine. If the second snapshot machine does not snapshot the target snapshot object in the first time period and the third snapshot machine snapshots the target snapshot object in the first time period, the second determination module may regard the second snapshot machine as an abnormal snapshot machine. Therefore, whether the snapshot machine is in the abnormal state or not does not need to be determined through manual examination, time consumption for determining whether the snapshot machine is in the abnormal state or not can be reduced, and efficiency for determining whether the snapshot machine is in the abnormal state or not is improved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 9 is a schematic diagram illustrating a configuration of a server according to an example embodiment. The server 400 includes a Central Processing Unit (CPU)401, a system memory 404 including a Random Access Memory (RAM)402 and a Read Only Memory (ROM)403, and a system bus 405 connecting the system memory 404 and the central processing unit 401. The server 400 also includes a basic input/output system (I/O system) 406, which facilitates the transfer of information between devices within the computer, and a mass storage device 407 for storing an operating system 413, application programs 414, and other program modules 415.
The basic input/output system 406 includes a display 408 for displaying information and an input device 409 such as a mouse, keyboard, etc. for user input of information. Wherein the display 408 and the input device 409 are connected to the central processing unit 401 through an input output controller 410 connected to the system bus 405. The basic input/output system 406 may also include an input/output controller 410 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input/output controller 410 may also provide output to a display screen, a printer, or other type of output device.
The mass storage device 407 is connected to the central processing unit 401 through a mass storage controller (not shown) connected to the system bus 405. The mass storage device 407 and its associated computer-readable media provide non-volatile storage for the server 400. That is, the mass storage device 407 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 404 and mass storage device 407 described above may be collectively referred to as memory.
The server 400 may also operate as a remote computer connected to a network via a network, such as the internet, according to various embodiments of the present application. That is, the server 400 may be connected to the network 412 through the network interface unit 411 connected to the system bus 405, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 411.
The memory further includes one or more programs, the one or more programs are stored in the memory, and the central processing unit 401 implements the method for determining the abnormal condition of the snapshot machine shown in fig. 2 or 3 by executing the one or more programs.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as a memory, including instructions executable by a processor of a server to perform the method of determining a snapshot machine anomaly illustrated in the various embodiments of the present application is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present application further provides a computer-readable storage medium, which is a non-volatile storage medium, and at least one instruction, at least one program, a code set, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by a processor to implement the method for determining an exception of a snapshot machine, which is provided in the above embodiments of the present application.
The embodiment of the present application further provides a computer program product, where instructions are stored in the computer program product, and when the computer program product runs on a computer, the computer is enabled to execute the method for determining an abnormality of a snapshot machine provided in the embodiment of the present application.
The embodiment of the present application further provides a chip, where the chip includes a programmable logic circuit and/or a program instruction, and when the chip runs, the method for determining the abnormality of the snapshot machine provided in the embodiment of the present application can be executed.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (12)
1. A method of determining a snapshot machine anomaly, the method comprising:
determining at least one snapshot unit corresponding to a first snapshot machine, wherein the first snapshot machine is a snapshot machine for snapshotting a target snapshot object, each snapshot unit corresponding to the first snapshot machine comprises at least three snapshot machines, and the at least three snapshot machines comprise the first snapshot machine;
judging whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot machine set corresponding to the first snapshot machine; wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine, and the snapshot conditions include: capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object;
and when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions, determining that the second snapshot machine is abnormal.
2. The method of claim 1, wherein the third snapping machine is: and the snapshot machine which is farthest away from the first snapshot machine is selected from the at least three snapshot machines except the first snapshot machine.
3. The method according to claim 1, characterized in that the shooting directions of the at least three candid cameras coincide.
4. The method according to any one of claims 1 to 3, wherein before the determining of the at least one snapshot set to which the first snapshot machine corresponds, the method further comprises:
determining at least one snapshot unit corresponding to each of a plurality of snapshot machines, wherein the plurality of snapshot machines comprise the first snapshot machine;
the at least one snapshot unit corresponding to the first snapshot machine is determined, and the method comprises the following steps:
searching for the first snapshot machine which takes a snapshot of the target snapshot object in the plurality of snapshot machines;
and searching at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
5. The method of any of claims 1 to 3, further comprising:
when the second snapshot machine does not snapshot a snapshot object in the first time period, determining that the second snapshot machine is in fault;
or when the first snapshot machine takes a snapshot of x snapshot objects in the first time period, the third snapshot machine takes a snapshot of y1 snapshot objects in the x snapshot objects in the first time period, and the second snapshot machine takes a snapshot of y2 snapshot objects in the x snapshot objects in the first time period, if y1 is greater than or equal to z and greater than y2, determining that the second snapshot machine is faulty; wherein z is a number threshold.
6. An apparatus for determining abnormality of a snapshot machine, the apparatus comprising:
the device comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining at least one snapshot unit corresponding to a first snapshot machine, the first snapshot machine is a snapshot machine for snapshotting a target snapshot object, each snapshot unit corresponding to the first snapshot machine comprises at least three snapshot machines, and the at least three snapshot machines comprise the first snapshot machine;
the judging module is used for judging whether the second snapshot machine and the third snapshot machine meet snapshot conditions or not based on snapshot data of the second snapshot machine and the third snapshot machine in each snapshot unit corresponding to the first snapshot machine; wherein, the distance between the second snapshot machine and the first snapshot machine is less than the distance between the third snapshot machine and the first snapshot machine, and the snapshot conditions include: capturing the target capturing object in a first time period after the first capturing machine captures the target capturing object;
and the second determining module is used for determining that the second snapshot machine is abnormal when the second snapshot machine does not meet the snapshot conditions and the third snapshot machine meets the snapshot conditions.
7. The apparatus according to claim 6, wherein the third snapshot machine is: and the snapshot machine which is farthest away from the first snapshot machine is selected from the at least three snapshot machines except the first snapshot machine.
8. The apparatus according to claim 6, wherein shooting directions of the at least three candid cameras are identical.
9. The apparatus for determining abnormality of a snapshot machine according to any one of claims 6 to 8, wherein said apparatus for determining abnormality of a snapshot machine further comprises:
the third determining module is used for determining at least one capturing unit corresponding to each capturing machine in a plurality of capturing machines, and the plurality of capturing machines comprise the first capturing machine;
the first determination module is to:
searching for the first snapshot machine which takes a snapshot of the target snapshot object in the plurality of snapshot machines;
and searching at least one snapshot unit corresponding to the first snapshot machine in the snapshot units corresponding to the plurality of snapshot machines.
10. The apparatus for determining abnormality of a snapshot machine according to any one of claims 6 to 8, wherein said apparatus for determining abnormality of a snapshot machine further comprises:
a fourth determining module, configured to determine that the second snapshot machine is faulty when the second snapshot machine does not snapshot the object in the first time period;
or, a fifth determining module, configured to determine that the second snapshot machine fails if y1 is greater than or equal to z > y2, when the first snapshot machine takes x snapshot objects in the first time period, the third snapshot machine takes y1 snapshot objects in the x snapshot objects in the first time period, and the second snapshot machine takes y2 snapshot objects in the x snapshot objects in the first time period; wherein z is a number threshold.
11. A server, comprising a processor and a memory;
wherein, the memory is used for storing computer programs;
the processor is used for executing the program stored in the memory to realize the method for determining the abnormal condition of the snapshot machine in any one of claims 1 to 5.
12. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processing component, is capable of implementing a method of determining a snapshot machine anomaly according to any one of claims 1 to 5.
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