CN114143748A - Early warning reporting method, device and system and electronic equipment - Google Patents
Early warning reporting method, device and system and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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- H—ELECTRICITY
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Abstract
The invention provides a method, a device, a system and an electronic device for reporting early warning, wherein the method comprises the following steps: firstly, determining whether an abnormal condition exists in a target area; if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera; and if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, and the time interval and the space range of the two abnormal conditions are within the preset range, stopping reporting the early warning information of the second abnormal condition. The invention avoids the problems of disordered and repeated reporting of the early warning information, improves the accuracy of early warning and improves the user experience.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a method, a device and a system for early warning reporting and electronic equipment.
Background
With the wide application of vehicles, how to manage the vehicles and how to early warn the abnormal conditions of the vehicles become a technical problem to be solved urgently. The existing early warning information is triggered only according to specific events and then is directly uploaded to a user, so that the problems of disordered early warning information reporting, repeated early warning information reporting and false warning are easily caused, and normal driving of the user is interfered.
Disclosure of Invention
Based on the above problems, an object of the present invention is to provide a method, an apparatus, a system and an electronic device for reporting an early warning, so as to avoid the problems of disordered and repeated reporting of early warning information, and simultaneously, improve the accuracy of early warning and improve the user experience.
In a first aspect, an embodiment of the present invention provides a method for reporting an early warning, where the method includes: determining whether an abnormal condition exists in a target area according to video information in a plurality of pre-collected cameras and a predetermined target area; if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera; if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the occurrence time interval of the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance of the first abnormal condition and the second abnormal condition is within a preset first spatial range, the reporting of the early warning information of the second abnormal condition is stopped.
Further, the step of determining whether an abnormal condition exists in the target area according to the video information in the plurality of pre-collected cameras and the predetermined target area includes: extracting a video picture in the video information aiming at the video information in any one camera, and monitoring whether the video picture belongs to an abnormal picture or not based on a preset monitoring condition; if the times of recognizing the abnormal pictures are smaller than the preset times within the preset time period, judging that no abnormal condition exists in the target area.
Further, the method further comprises: for a video picture in video information in any one camera, if the frequency of identifying abnormal pictures is greater than or equal to a preset frequency within a time period, the types of abnormal conditions indicated by any two frames of abnormal pictures are the same, and the indicated position is within a preset second space range, it is determined that an abnormal condition exists in a target area.
Further, the method further comprises: judging whether a target area in the video information of the first camera has an abnormal condition or not; if a third abnormal condition with the same type as the first abnormal condition is found in the picture of the video information of the first camera, the occurrence time interval of the third abnormal condition and the first abnormal condition is within a preset second time interval, and the spatial distance of the third abnormal condition and the first abnormal condition is within a preset third spatial range, the report of the early warning information of the third abnormal condition is stopped.
Further, the above-mentioned early warning information includes: the number of the camera, the coordinates of the target area, the type of the abnormal condition, the time of the abnormal condition, and the abnormal picture extracted from the video information.
Further, before the step of determining whether an abnormal condition exists in the target area according to the video information in the plurality of cameras collected in advance and the predetermined target area, the method includes: and determining a target area according to the user requirement and the user early warning purpose, wherein the target area is an arbitrary closed graph.
Further, the method further comprises: the early warning information is generated by combining the sensing information in the sensor and the video information in the camera.
In a second aspect, an embodiment of the present invention provides an apparatus for reporting an early warning, where the apparatus includes: an abnormal situation determination module to: determining whether an abnormal condition exists in a target area according to video information in a plurality of pre-collected cameras and a predetermined target area; the early warning reporting module is used for: if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera; prevent mistake alarm module for: if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the occurrence time interval of the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance of the first abnormal condition and the second abnormal condition is within a preset first spatial range, the reporting of the early warning information of the second abnormal condition is stopped.
In a third aspect, an embodiment of the present invention provides a system for reporting an early warning, where the system includes: the system comprises a plurality of cameras, a plurality of infrared sensors, a client and a device for early warning and reporting.
In a fourth aspect, an embodiment of the present invention provides an electronic device, which includes a processor and a memory, where the memory stores machine executable instructions that can be executed by the processor, and the processor executes the machine executable instructions to implement the method for reporting an early warning.
The embodiment provided by the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method, a device, a system and electronic equipment for reporting early warning, wherein the method comprises the following steps: firstly, determining whether an abnormal condition exists in a target area; if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera; and if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, and the time interval and the space range of the two abnormal conditions are within the preset range, stopping reporting the early warning information of the second abnormal condition. The invention avoids the problems of disordered and repeated reporting of the early warning information, improves the accuracy of early warning and improves the user experience.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention as set forth above.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for reporting an early warning according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a method for performing early warning reporting by using multiple cameras according to an embodiment of the present invention;
fig. 3 is a flowchart of another early warning reporting method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an early warning reporting apparatus according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a system for reporting an early warning according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an overall working process of the early warning provided by the embodiment of the present invention;
fig. 7 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the related art, the early warning information is generally started according to a specific event and then directly uploaded to a user, so that the problems of disordered early warning information reporting, repeated early warning information reporting and false warning are easily caused, and normal driving of the user is further interfered.
Based on this, the embodiment of the invention provides an early warning reporting method, device and system and an electronic device.
Example one
First, a method for reporting an early warning disclosed in the embodiment of the present invention is introduced, as shown in fig. 1.
Step S102, determining whether abnormal conditions exist in a target area according to video information in a plurality of pre-collected cameras and a predetermined target area; the abnormal conditions comprise pedestrian intrusion, vehicle violation, illegal object throwing or firework occurrence.
In a specific implementation, the multiple cameras are generally multiple cameras on a road, the respective monitored areas of the multiple cameras are different, and by combining the multiple cameras, the abnormal condition can be pre-judged, or more accurate judgment can be performed. The target area is any closed shape defined by a user according to requirements, and generally only the condition in the target area is analyzed, so that the technology can reduce unnecessary calculation amount and improve judgment efficiency. In addition, there is a different algorithm for each different anomaly. In different application scenes, target areas needing attention are different, different algorithms cannot be self-adaptive, and one algorithm cannot be applied to all scenes, so that the areas identified by the algorithms can be concentrated by calibrating the target areas, and the interference of time which is not in key areas on early warning is reduced.
And step S104, if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera.
And step S106, if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the occurrence time interval of the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance of the first abnormal condition and the second abnormal condition is within a preset first spatial range, stopping reporting the early warning information of the second abnormal condition.
In a concrete implementation, when a traffic jam or a spill occurs on a highway, the highway is generally a long road section. At this time, if the existing early warning technology is used, all the cameras in the relevant area on the highway can find the abnormality, and then each camera can send warning information to the user, which will seriously affect the driving experience of the user.
Specifically, the method of this embodiment is to send an early warning to the user immediately after any one of the cameras finds an abnormal condition, determine the abnormal condition that occurs for the first time as a first abnormal condition, and determine the camera that has occurred for the first time as a first camera. The other cameras continue to monitor, when the other cameras are abnormal again (namely, the second abnormal condition), the types of the abnormal conditions of the first abnormal condition and the second abnormal condition (pedestrian break-in, vehicle break-over, illegal object throwing or firework occurrence) are compared, the time interval and the space distance of the two abnormal conditions are compared, if the judgment result shows that the abnormal types are the same, the time interval of occurrence is within a preset first time interval (for example, 5 minutes, which can be set optionally according to the requirement), and the space distance of occurrence is within a preset first space range (for example, 200 meters, which can be set optionally according to the requirement), the second abnormal condition shot by the other cameras and the first abnormal condition shot by the first camera are judged to be the same condition, and in this condition, alarm information (early warning information) does not need to be sent to the user repeatedly, only the number of alarms needs to be accumulated in the background to provide more favorable evidence for subsequent management and penalties. If the abnormal types of the two abnormal conditions are different, or the occurrence time interval is not within the preset first time interval, or the occurrence space distance is not within the preset first space range, it is determined that the second abnormal condition shot by other cameras and the first abnormal condition shot by the first camera are not the same, and at this time, new early warning information is sent (reported) to the user.
Specifically, as shown in fig. 2, a schematic diagram of a method for performing early warning reporting by using multiple cameras is shown. In the figure, the specified driving direction of the road is from left to right, 4 cameras are 1, 2, 3 and 4, and the distance is 200 meters. Suppose that point 4 is experiencing traffic congestion. And then spreading to the point location No. 3, and when the server receives the vehicle illegal parking of the point location No. 3, comparing the illegal parking of the point location No. 3 with the illegal parking of the point location No. 4 to judge whether illegal parking early warning is generated. If the event occurs, the event time is compared, if the event time exceeds 5 minutes, a new early warning is reported to the user, otherwise, the new warning is not reported. Through continuous and continuous alarm filtering, the situation of multiple reports caused by the same event (the same abnormal situation) is reduced, and the user experience is improved.
Specifically, if the type of the abnormal condition is a serious potential safety hazard such as a pedestrian entering or a fire and smoke appearing, in order to attract sufficient attention of the user, the subsequent determination of the time interval and the space range may not be performed, and the alarm information may be directly and continuously sent to the user.
The method for reporting the early warning provided by the embodiment of the invention comprises the following steps: firstly, determining whether an abnormal condition exists in a target area; if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera; and if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, and the time interval and the space range of the two abnormal conditions are within the preset range, stopping reporting the early warning information of the second abnormal condition. The invention avoids the problems of disordered and repeated reporting of the early warning information, improves the accuracy of early warning and improves the user experience.
Example two
Another method for reporting an early warning disclosed in the embodiment of the present invention is described, and this embodiment describes a method for analyzing video information in the same camera, as shown in fig. 3.
Step S302, extracting a video picture in the video information aiming at the video information in any one camera, and monitoring whether the video picture belongs to an abnormal picture or not based on a preset monitoring condition; if the times of recognizing the abnormal pictures are smaller than the preset times within the preset time period, judging that no abnormal condition exists in the target area.
Step S304, regarding the video pictures in the video information in any one of the cameras, if the number of times of identifying the abnormal pictures is greater than or equal to the preset number of times within the time period, and the types of the abnormal situations indicated by any two frames of the abnormal pictures are the same, and the indicated positions are within the preset second spatial range, it is determined that an abnormal situation exists in the target area.
Specifically, the specific implementation method of step S302 and step S304 is as follows:
1) and extracting picture information from the video information for multiple times within a preset time period, then carrying out primary judgment on the picture information, and removing pictures which are incomplete and obviously and wrongly identified to obtain the video pictures.
Specifically, the picture information within 1 second is generally preliminarily judged and screened, and B, P frames are removed to cause error identification.
2) And judging whether the video pictures belong to abnormal pictures or not according to different algorithms, and counting the times of the abnormal pictures.
3) And carrying out secondary judgment on the counted abnormal pictures, eliminating the abnormal pictures which are mistakenly reported, and updating the times.
4) And comparing the updated times with the preset times, and if the updated times are less than the preset times, judging that no abnormal condition exists in the target area.
Specifically, a video frame loses packets due to a User Datagram Protocol (UDP) network, so that a mosaic point or a blur sometimes occurs in the video, which causes a false alarm. The frequency of the false alarm is not too high (unless large-scale network congestion occurs), the duration is about 1 second, the error picture is sent for 1-2 times, the error is a system error, and the current technology cannot overcome the error. Therefore, the solution is that only when the same abnormal picture (the abnormal type is the same and the place where the abnormal occurs is the same) is found for more than 3 times within 3 seconds, the abnormal situation is considered to occur. Therefore, the abnormal times result after the error picture is removed is compared with the preset times, so that the method has more referential property and more accurate result.
5) And comparing the updated times with the preset times, and if the updated times are greater than the preset times, continuously comparing whether the types of abnormal conditions of any two frames in the plurality of abnormal pictures are the same and whether the indicated position is in a preset second space range.
6) If the types of the abnormal conditions indicated by any two frames of abnormal pictures are the same and the indicated positions are in a preset second space range, judging that the abnormal conditions exist in the target area.
Step S306, judging whether the target area in the video information of the first camera has abnormal conditions; if a third abnormal condition with the same type as the first abnormal condition is found in the picture of the video information of the first camera, the occurrence time interval of the third abnormal condition and the first abnormal condition is within a preset second time interval, and the spatial distance of the third abnormal condition and the first abnormal condition is within a preset third spatial range, the report of the early warning information of the third abnormal condition is stopped.
Specifically, step S306 describes the method steps in which the first camera continues to monitor the target area after the first camera has sent the warning information according to the first abnormal condition, and step S306 specifically includes:
1) and if the abnormal condition is found in the video picture of the first camera again after the first camera sends out the early warning information, defining the abnormal condition as a third abnormal condition.
2) And if the first abnormal situation and the third abnormal situation are the same in abnormal type, the occurrence time interval of the third abnormal situation and the first abnormal situation is within the preset second time interval, and the occurrence space distance is within the preset third space range, the first abnormal situation and the third abnormal situation are regarded as the same abnormal situation.
Specifically, the second time interval may be set to 5 minutes, the third spatial range may be 200 meters, and in general, the second spatial range is the third spatial range < the first spatial range, and the second time interval > the first time interval.
3) And accumulating the times of the abnormal conditions, and not repeatedly reporting the early warning information of the third abnormal condition. The scheme of the accumulated times is used for providing guidance for vehicle management and penalty in the following process; for the same abnormal condition, the user experience can be improved without repeated alarm.
The above-mentioned early warning information includes: the number of the camera, the coordinates of the target area, the type of the abnormal condition, the time of the abnormal condition, and the abnormal picture extracted from the video information.
Before the step of determining whether an abnormal condition exists in the target area according to the video information in the plurality of pre-collected cameras and the predetermined target area, the method comprises the following steps: and determining a target area according to the user requirement and the user early warning purpose, wherein the target area is an arbitrary closed graph.
Specifically, the smart analysis box generally pulls the latest target area to the server at regular time through the MQTT protocol (Message Queuing Telemetry Transport), and updates the rule of the target area.
The early warning information is generated by combining the sensing information in the sensor and the video information in the camera.
Specifically, the embodiment can also collect multi-dimensional information, for example, the early warning information is generated by combining the sensing information in the sensor and the video information in the camera. Because the video code stream of the camera is encoded into h.264, and video information RTSP (Real Time Streaming Protocol) is still used for network transmission on the bottom layer of UDP, problems may also occur in the transmission process, and at this Time, early warning information is finally generated by combining with the analysis and judgment results of the picture manually. The scheme can enable early warning to be more accurate and higher in efficiency.
The key technical points of the embodiment of the invention are that 1) a plurality of cameras are managed in a unified way, and the continuous connected alarms are filtered, so that a plurality of alarms caused by the same event are reduced; 2) for the same camera, only when abnormal pictures appear for many times, an alarm is triggered; 3) if the same camera is abnormal again within a short time (preset time) after the alarm is triggered, the same camera does not send out alarm information repeatedly, and background recording is carried out on the abnormal times. Through above 3 key technologies, prevent repeated warning, improve the degree of accuracy and the alarm efficiency of reporting to the police.
EXAMPLE III
Referring to the apparatus 40 for reporting an early warning disclosed in the embodiment of the present invention, as shown in fig. 4, the apparatus includes:
an abnormal situation determination module 41 configured to: and determining whether an abnormal condition exists in the target area according to the video information in the plurality of cameras acquired in advance and the predetermined target area.
An early warning reporting module 42, configured to: if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera.
An anti-misoperation alarm module 43 for: if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the occurrence time interval of the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance of the first abnormal condition and the second abnormal condition is within a preset first spatial range, the reporting of the early warning information of the second abnormal condition is stopped.
The abnormal situation determination module 41 is further configured to: extracting a video picture in the video information aiming at the video information in any one camera, and monitoring whether the video picture belongs to an abnormal picture or not based on a preset monitoring condition; if the times of recognizing the abnormal pictures are smaller than the preset times within the preset time period, judging that no abnormal condition exists in the target area.
The abnormal situation determination module 41 is further configured to: for a video picture in video information in any one camera, if the frequency of identifying abnormal pictures is greater than or equal to a preset frequency within a time period, the types of abnormal conditions indicated by any two frames of abnormal pictures are the same, and the indicated position is within a preset second space range, it is determined that an abnormal condition exists in a target area.
The anti-misoperation alarm module 43 is further configured to: judging whether a target area in the video information of the first camera has an abnormal condition or not; if a third abnormal condition with the same type as the first abnormal condition is found in the picture of the video information of the first camera, the occurrence time interval of the third abnormal condition and the first abnormal condition is within a preset second time interval, and the spatial distance of the third abnormal condition and the first abnormal condition is within a preset third spatial range, the report of the early warning information of the third abnormal condition is stopped.
The implementation principle and the generated technical effect of the device for reporting an early warning provided by the embodiment of the present invention are the same as those of the method embodiment described above, and for brief description, no mention is made in the device embodiment, and reference may be made to the corresponding contents in the method embodiment described above.
Example four
The system for reporting an early warning disclosed in the embodiment of the present invention is introduced, and as shown in fig. 5, the system: a plurality of cameras 51, a client 52 and an early warning reporting device 40.
A camera 51 for: real-time video of the target area is captured.
A client 52 for: the code stream data of the cameras 51 are pulled, and after area calibration (determination of a target area) is performed on pictures in videos of the cameras 51, the data are pushed to a device for early warning and reporting.
The early warning reporting device 40 is configured to: analyzing and comparing videos of the target area to determine early warning information; and reporting the early warning information to the client 52.
The implementation principle and the generated technical effect of the system for early warning reporting provided by the embodiment of the present invention are the same as those of the method embodiment, and for brief description, no mention is made in the system embodiment, and reference may be made to the corresponding contents in the method embodiment.
EXAMPLE five
The embodiment specifically introduces the overall working process of the early warning, and a schematic diagram of the overall working process of the early warning is shown in fig. 6.
1) The camera sends the video data to the client through the streaming media;
2) the client determines a calibration area (target area) according to the self requirement and sends the calibration area to the transaction processing server.
3) And the transaction processing server sends the calibration area to the intelligent analysis box.
4) The camera sends video data to the intelligent analysis box.
5) The intelligent analysis box analyzes whether abnormal conditions (such as pedestrian intrusion, vehicle violation, object throwing or firework occurrence) exist in the target area or not based on the target area and the video data; and if the exception occurs, reporting to the transaction processing server.
6) And the transaction processing server judges whether to send early warning information (namely, pushes an early warning event) to the client according to the received abnormal information and by combining the camera information directly acquired from the camera.
7) After receiving the early warning information, the client can further react to the early warning information by combining the infrared information (namely pulling equipment data) of the vehicle sensor and the video data pulled from the camera.
The implementation principle and the generated technical effect of the whole working process of the early warning provided by the embodiment of the invention are the same as those of the embodiment of the method, and for brief description, the corresponding contents in the embodiment of the method can be referred to for the part not mentioned in the embodiment of the invention.
EXAMPLE six
Referring to fig. 7, the electronic device disclosed in the embodiment of the present invention includes a processor 101 and a memory 100, where the memory 100 stores machine executable instructions capable of being executed by the processor 101, and the processor executes the machine executable instructions to implement the method for reporting an early warning.
Further, the electronic device shown in fig. 7 further includes a bus 102 and a communication interface 103, and the processor 101, the communication interface 103, and the memory 100 are connected through the bus 102.
The Memory 100 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 103 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. The bus 102 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 7, but this does not indicate only one bus or one type of bus.
The processor 101 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 101. The Processor 101 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 100, and the processor 101 reads the information in the memory 100, and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the apparatus and/or the electronic device described above may refer to corresponding processes in the foregoing method embodiments, and are not described herein again.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for reporting early warning is characterized in that the method comprises the following steps:
determining whether an abnormal condition exists in a target area according to video information in a plurality of pre-collected cameras and the pre-determined target area;
if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera;
if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the time interval between the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance between the first abnormal condition and the second abnormal condition is within a preset first spatial range, stopping reporting the early warning information of the second abnormal condition.
2. The method according to claim 1, wherein the step of determining whether an abnormal condition exists in the target area according to the video information in the plurality of pre-collected cameras and the predetermined target area comprises:
extracting a video picture in the video information aiming at the video information in any one camera, and monitoring whether the video picture belongs to an abnormal picture or not based on a preset monitoring condition;
if the times of recognizing the abnormal pictures are smaller than the preset times within the preset time period, judging that no abnormal condition exists in the target area.
3. The method of claim 2, further comprising:
and for a video picture in video information in any one camera, if the frequency of identifying the abnormal picture is greater than or equal to the preset frequency, the types of the abnormal situations indicated by the abnormal pictures in any two frames are the same, and the indicated position is in a preset second space range, judging that the abnormal situation exists in the target area.
4. The method of claim 1, further comprising:
judging whether a target area in the video information of the first camera has an abnormal condition or not;
if a third abnormal condition with the same type as the first abnormal condition is found in the picture of the video information of the first camera, and the time interval between the third abnormal condition and the first abnormal condition is within a preset second time interval, and the spatial distance between the third abnormal condition and the first abnormal condition is within a preset third spatial range, stopping reporting the early warning information of the third abnormal condition.
5. The method of claim 1, wherein the early warning information comprises:
the number of the camera, the coordinates of the target area, the type of the abnormal condition, the time of the abnormal condition, and the abnormal picture extracted from the video information.
6. The method according to claim 1, wherein the step of determining whether an abnormal condition exists in the target area according to the video information in the plurality of pre-collected cameras and the pre-determined target area comprises:
and determining a target area according to the user requirement and the user early warning purpose, wherein the target area is any closed graph.
7. The method of claim 1, further comprising:
and generating the early warning information by combining the sensing information in the sensor and the video information in the camera.
8. An early warning reporting device, the device comprising:
an abnormal situation determination module to: determining whether an abnormal condition exists in a target area according to video information in a plurality of pre-collected cameras and the pre-determined target area;
the early warning reporting module is used for: if the video information in any one of the cameras has an abnormal condition, reporting early warning information, determining the abnormal condition occurring for the first time as a first abnormal condition, and determining the camera with the abnormal condition occurring for the first time as a first camera;
prevent mistake alarm module for: if a second abnormal condition with the same type as the first abnormal condition exists in the video information of the cameras except the first camera, the time interval between the first abnormal condition and the second abnormal condition is within a preset first time interval, and the spatial distance between the first abnormal condition and the second abnormal condition is within a preset first spatial range, stopping reporting the early warning information of the second abnormal condition.
9. A system for reporting early warning is characterized in that the system comprises: the system comprises a plurality of cameras, a plurality of infrared sensors, a client and a device for early warning and reporting.
10. An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor executing the machine executable instructions to implement the method for early warning reporting of any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116486585A (en) * | 2023-06-19 | 2023-07-25 | 合肥米视科技有限公司 | Production safety management system based on AI machine vision analysis early warning |
| CN116527853A (en) * | 2023-06-20 | 2023-08-01 | 深圳比特微电子科技有限公司 | Electronic device, cloud device, client device and operation method of client device |
| CN117689881A (en) * | 2024-02-02 | 2024-03-12 | 盛视科技股份有限公司 | Casting object tracking method based on event camera and CMOS camera |
| CN117689881B (en) * | 2024-02-02 | 2024-05-28 | 盛视科技股份有限公司 | Casting object tracking method based on event camera and CMOS camera |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116486585A (en) * | 2023-06-19 | 2023-07-25 | 合肥米视科技有限公司 | Production safety management system based on AI machine vision analysis early warning |
| CN116486585B (en) * | 2023-06-19 | 2023-09-15 | 合肥米视科技有限公司 | Production safety management system based on AI machine vision analysis early warning |
| CN116527853A (en) * | 2023-06-20 | 2023-08-01 | 深圳比特微电子科技有限公司 | Electronic device, cloud device, client device and operation method of client device |
| CN116527853B (en) * | 2023-06-20 | 2023-10-13 | 深圳比特微电子科技有限公司 | Electronic device, cloud device, client device and operation method of client device |
| CN117689881A (en) * | 2024-02-02 | 2024-03-12 | 盛视科技股份有限公司 | Casting object tracking method based on event camera and CMOS camera |
| CN117689881B (en) * | 2024-02-02 | 2024-05-28 | 盛视科技股份有限公司 | Casting object tracking method based on event camera and CMOS camera |
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