CN117830897A - Processing method, processing device, vehicle and storage medium - Google Patents
Processing method, processing device, vehicle and storage medium Download PDFInfo
- Publication number
- CN117830897A CN117830897A CN202311871803.XA CN202311871803A CN117830897A CN 117830897 A CN117830897 A CN 117830897A CN 202311871803 A CN202311871803 A CN 202311871803A CN 117830897 A CN117830897 A CN 117830897A
- Authority
- CN
- China
- Prior art keywords
- event
- abnormal event
- video
- vehicle
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 title claims description 22
- 230000002159 abnormal effect Effects 0.000 claims abstract description 151
- 238000012544 monitoring process Methods 0.000 claims abstract description 89
- 230000006870 function Effects 0.000 claims description 35
- 238000000034 method Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 15
- 238000004140 cleaning Methods 0.000 claims description 12
- 208000019901 Anxiety disease Diseases 0.000 abstract description 6
- 230000036506 anxiety Effects 0.000 abstract description 6
- 230000005856 abnormality Effects 0.000 abstract 1
- 238000001514 detection method Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 4
- 230000002349 favourable effect Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Abstract
The invention discloses a processing method and device, a vehicle and a readable storage medium. The processing method comprises the following steps: when the monitoring function is started, if the occurrence of an abnormal event is identified, storing monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video; and responding to the monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all abnormal event videos. The processing method can help a user record the core event of the abnormality of the vehicle and reserve evidence, is convenient for further reporting a case, can timely acquire the condition of the vehicle in a sentry mode when the user gets on the bus, lightens anxiety of the user and improves use experience.
Description
Technical Field
The present invention relates to the field of vehicle technologies, and in particular, to a method and apparatus for processing a monitored event, a vehicle, and a storage medium.
Background
Under the off-road scene, the user cannot know the condition of the vehicle in time, the user cannot be informed of the collision or the alarm at the first time, and part of notification strategies on the market at present can only inform the user of the collision, the nearby images cannot be displayed, and anxiety of the user is easily brought.
Disclosure of Invention
The embodiment of the invention provides a processing method, a processing device, a vehicle and a non-volatile computer readable storage medium for monitoring events.
The processing method provided by the embodiment of the invention is used for a vehicle and comprises the following steps:
when a monitoring function is started, if the occurrence of the abnormal event is identified, storing monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video;
and responding to a monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all the abnormal event videos.
In some embodiments, the abnormal event video includes a high risk event video and a low risk event video, and storing the monitored image of the period from the preset time before the abnormal event occurs to the end of the abnormal event in the sentinel video list to generate the abnormal event video includes:
detecting the residual capacity of the storage space;
detecting whether a historical low-risk event video is included in the storage space or not under the condition that the residual capacity is smaller than a first preset threshold value;
and deleting at least part of the historical low-risk event videos according to the generation time of the historical low-risk event videos under the condition that the storage space comprises the historical low-risk event videos.
In some embodiments, the method further includes storing the monitored image of the time period from the preset time period before the occurrence of the abnormal event to the end of the abnormal event in the sentinel video list to generate an abnormal event video, and further includes:
and during the starting period of the monitoring function, if the storage space is smaller than the first preset threshold value, canceling the storage of the monitoring image and generating an insufficient memory prompt.
In certain embodiments, the treatment method further comprises:
detecting the residual capacity of the storage space;
and generating a cleaning prompt when the residual capacity is smaller than a second preset threshold value, and cleaning the cache when the vehicle is powered down.
In certain embodiments, the abnormal events include high risk events and low risk events, and the summary prompt includes a total number of low risk events and/or a total number of high risk events.
In some embodiments, the abnormal event video includes a high risk event video and a low risk event video, and the processing method further includes:
and responding to a viewing request of a user to display the sentinel video list, wherein the high-risk event videos and/or the low-risk event videos in the sentinel video list are arranged in time sequence.
In certain embodiments, the treatment method further comprises:
and playing the selected abnormal event video according to the playing request, wherein the starting moment position of the occurrence of the abnormal event is marked in the progress bar of the abnormal event video.
The invention provides a processing device for a vehicle, comprising:
the storage module is used for storing the monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video if the occurrence of the abnormal event is identified when the monitoring function is started;
and the prompt module is used for responding to a monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all the abnormal event videos.
The vehicle provided by the invention comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for processing the monitoring event in any one of the above embodiments is realized.
The present invention provides a non-transitory computer readable storage medium containing a computer program. The method of processing a monitoring event according to any of the above embodiments is implemented when the computer program is executed by a processor.
According to the method, the device, the vehicle and the storage medium for processing the monitoring event, when the abnormal event occurs, the monitoring image of the time period from the preset time before the occurrence of the abnormal event to the end of the abnormal event is stored in the sentinel video list to generate the abnormal event video, so that a user can check the complete process from the occurrence to the end of the abnormal event in the sentinel video list, favorable evidence is provided for the subsequent user to process the abnormal event, and a summary prompt of the monitoring event is generated and displayed according to the monitoring function closing instruction and all the abnormal event videos, so that the user can know how many abnormal events occur in the vehicle during the monitoring period, the anxiety of the user is reduced, and the use experience is improved.
Additional aspects and advantages of embodiments of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a schematic flow chart of the treatment method of the present invention;
FIG. 2 is a schematic block diagram of a processing apparatus of the present invention;
FIG. 3 is a schematic view of a scene of a sentinel video list of the present invention;
FIG. 4 is a schematic view of a scenario featuring a summary prompt for monitoring events of the present invention;
FIGS. 5-7 are flow diagrams of the treatment process of the present invention;
FIG. 8 is a schematic block diagram of a processing apparatus of the present invention;
fig. 9-10 are flow diagrams of the treatment process of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the embodiments of the present invention and are not to be construed as limiting the embodiments of the present invention.
Referring to fig. 1, the present invention provides a method for processing a monitored event, for a vehicle, the method comprising:
01: when the monitoring function is started, if the occurrence of an abnormal event is identified, storing monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video;
02: and responding to the monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all abnormal event videos.
Referring to fig. 2, the present invention further provides a processing apparatus 10. The processing device 10 includes a save module 110 and a prompt module 120.
Step 01 may be implemented by the save module 110 and step 02 may be implemented by the prompt module 120. That is, when the monitoring function is turned on, if an abnormal event is identified, the storage module 110 is configured to store the monitored image of a period from a preset time before the abnormal event occurs to the end of the abnormal event in the sentinel video list to generate an abnormal event video;
the prompt module 120 is configured to respond to the monitor function off instruction to generate and display a summary prompt of the monitor event according to all abnormal event videos.
The embodiment of the application also provides a vehicle, which comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor realizes the processing method, namely, when the monitoring function is started, the processor can be used for storing monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video, and responding to a monitoring function closing instruction to generate and display a summary prompt of the monitored event according to all the abnormal event videos if the occurrence of the abnormal event is identified.
According to the processing method, the processing device and the vehicle, when the abnormal event occurs, the monitoring image of the time period from the preset time before the abnormal event occurs to the end of the abnormal event is stored in the sentinel video list to generate the abnormal event video, so that a user can check the complete process from the occurrence to the end of the abnormal event in the sentinel video list, favorable evidence is provided for the subsequent user to process the abnormal event, and summary prompts of the monitoring event are generated and displayed according to the monitoring function closing instruction and all the abnormal event videos, so that the user can know how many abnormal events occur to the vehicle during the monitoring, anxiety of the user is reduced, and the use experience is improved.
In some embodiments, the detection device 10 may be part of a vehicle. Alternatively, the vehicle includes the detection device 10.
In some embodiments, the detection device 10 may be a discrete component assembled in a manner to have the aforementioned functions, or a chip in the form of an integrated circuit having the aforementioned functions, or a computer software code segment that when run on a computer causes the computer to have the aforementioned functions.
In some embodiments, the detection device 10 may be attached to the vehicle as a stand alone or as an additional peripheral component, as hardware. The detection device 10 may also be integrated into the vehicle, for example, the detection device 10 may be integrated into the processor when the detection device 10 is part of the vehicle.
The vehicle may include a vehicle-mounted system, which is an electronic system installed inside the vehicle, a vehicle-mounted camera, and a vibration sensor, for managing programs of hardware and software resources of the vehicle-mounted computer, and also a kernel and a keystone of the computer system. Vehicle systems typically include navigation, audio, telephone, internet connectivity, driving assistance (e.g., adaptive cruise, auto park), etc., that enable communication of information functionally from person to vehicle, vehicle to the outside (vehicle to vehicle), and vehicle interior. The vehicle-mounted camera system is electrically connected with the vehicle-mounted camera and the vibration sensor. In addition, the vehicle-mounted system can be in communication connection with a user side. For example, the user side can operate a corresponding APP, the APP communicates with the vehicle-mounted system, and the user can interact with the vehicle-mounted system through the APP. The vehicle-mounted camera may include a plurality of vehicle-mounted cameras, and the plurality of vehicle-mounted cameras may be distributed at different positions of the vehicle, for example, the vehicle-mounted camera may include a front camera, a rear camera, a left camera and a right camera, and it is understood that the front camera is used for photographing an environment in front of the vehicle, the rear camera is used for photographing an environment behind the vehicle, the left camera is used for photographing an environment on the left side of the vehicle, and the right camera is used for photographing an environment on the right side of the vehicle. The vibration sensor may include a plurality of vibration sensors, and the plurality of vibration sensors may be distributed at different positions of the vehicle for detecting whether the vehicle vibrates.
The vehicle is including the sentry mode, and the monitoring function opens and indicates that the vehicle opens the sentry mode, and the monitoring function opens, and car machine system, on-vehicle camera and on-vehicle camera are opened to realize the control to the outside of the car. The vehicle machine system can receive monitoring data monitored in real time by the vibration sensor and monitoring images generated by real-time monitoring by the vehicle-mounted camera and cache the monitoring images, and can be understood that, due to the limited memory of the vehicle machine system, if the monitoring images are too many, the memory cannot meet the cache requirements of all the monitoring images, so that the monitoring images can be cached circularly, that is, when the monitoring images are cached to a certain size, the cached monitoring images are cleared.
The vehicle-mounted system can identify the monitoring images and the monitoring data so as to determine whether an abnormal event occurs to the vehicle, and it can be understood that the abnormal event is identified, and then the abnormal event is identified as a monitoring event. For example, the vehicle-mounted system recognizes that a person in the monitored image approaches the vehicle, if the triggering condition is satisfied, the occurrence of an abnormal event is recognized, and when the person in the detected image is recognized to be far away from the vehicle until the person disappears, the abnormal event is recognized to be ended. For another example, when the vehicle-mounted system recognizes that the monitoring data satisfies the trigger condition, the abnormal event is triggered, and after the abnormal event is triggered, the monitoring data does not satisfy the trigger condition, and the abnormal event can be considered to be ended.
Further, the abnormal event can be divided into a low-risk event and a high-risk event, the vehicle-mounted system comprises a portrait identification algorithm, the vehicle-mounted system can identify the monitored image by the portrait identification algorithm, if the detected image is detected to be close to the vehicle by the pedestrian by the portrait identification algorithm, the low-risk event is considered to occur, if the detected image is detected to be far away from the vehicle by the portrait identification algorithm, the low-risk event is considered to be ended, the vehicle-mounted system can be further provided with a vibration threshold, when the monitored data is larger than the vibration threshold, the high-risk event is considered to occur, and after the high-risk event is considered to occur, if the monitored data is smaller than the vibration threshold, the high-risk event is considered to be ended.
After the vehicle-mounted system recognizes that the abnormal event occurs, the vehicle-mounted system stores the monitoring image of the time period from the preset time before the occurrence of the abnormal event to the end of the abnormal event, and generates an abnormal event video. The preset time period may be 10 seconds, 20 seconds, 30 seconds, 40 seconds, 1 minute or longer, and the specific time is not limited. If the video record before or after triggering is not longer than the preset time, the record is stored for a long time. It can be understood that the condition of the triggering moment can be completely recorded by storing the monitoring image with the preset time before the occurrence of the abnormal event, so that the abnormal event is completely recorded by the abnormal event, and the user can know the cause and the passing of the abnormal event. It can be understood that the monitored image stored when the low risk event occurs is a low risk event video, and the monitored image stored when the high risk event occurs is a high risk event video.
Referring to fig. 3, further, the vehicle may include a storage space, where the storage space is divided into an image storage area and another storage area, and the storage space is displayed with 2 positions after the decimal point, and the image storage area may be divided into a sentinel video recording area and a driving video recording area, where the sentinel video recording area is displayed in a manner of aligning driving video recordings. The sentry video recording area can be used for storing abnormal event videos, the driving video recording area is used for storing driving videos, the abnormal event videos are stored in the image storage area and can form a sentry video list, and a user can check all the abnormal event videos in the sentry video list. In addition, if the sentinel video list has no abnormal event video, the sentinel video list can display 'null sentinel video'.
It should be noted that, the abnormal event video under the sentinel video list may include a specific occurrence time of the abnormal event, for example, the abnormal event video further displays a shooting date (month, day) and a shooting time (hour, minute), and in addition, the abnormal event video may also characterize whether the abnormal event video belongs to a low risk event or a high risk event. Thus, the user can check conveniently, and the use experience of the user is improved.
With reference to fig. 4, the monitoring function is started after the user leaves the vehicle, so that the monitoring function can be considered to be closed after the user unlocks the vehicle, and therefore, a monitoring function closing instruction can be generated after the user gets on the vehicle, that is, when the user unlocks the vehicle, the monitoring function closing instruction is generated and responded, so that a summary prompt of the monitoring event is generated through the vehicle system according to the abnormal event video, and the summary prompt is displayed through a display screen of the vehicle system, so that the user can know the abnormal event and the specific content of the abnormal event appearing under the monitoring function, the user can know the condition of the vehicle in the whistle mode in time, the anxiety of the user is reduced, and the use experience is improved.
The summary prompt is the total number of the abnormal events monitored during the current vehicle-leaving period, the content of the summary prompt is determined according to the abnormal events occurring during the monitoring period, the content is stored in an abnormal event video, and the counting is carried out once. The content of the summary prompt may include the total number of low risk events and/or the total number of high risk events. That is, the summary prompt may include only the total number of low risk events, e.g., the content of the summary prompt may be "low risk only: the occurrence of x low risk events "may also include only the total number of high risk events, e.g., the content of the summary prompt may be" high risk only: occurrence of x high risk events "; the total number of low risk events and the total number of high risk events may also be included, for example, the content of the summary prompt may be "high risk + low risk, x high risk events occur, and x low risk events occur.
Referring to fig. 5, in some embodiments, step 01 includes:
011: detecting the residual capacity of the storage space;
012: detecting whether a historical low-risk event video is included in the storage space or not under the condition that the residual capacity is smaller than a first preset threshold value;
013: in the case where the historical low risk event video is included in the storage space, at least part of the historical low risk event video is deleted according to the generation time of the historical low risk event video.
Referring to fig. 2, sub-steps 011-013 may be implemented by save module 110. As can be appreciated, the saving module 110 is configured to detect a remaining capacity of the storage space, and detect whether the storage space includes a historical low risk event video if the remaining capacity is less than a first preset threshold; and deleting at least part of the historical low risk event video according to the generation time of the historical low risk event video in the case that the historical low risk event video is included in the storage space.
In some embodiments, the processor may be configured to detect a remaining capacity of the storage space, and detect whether the storage space includes a historical low risk event video if the remaining capacity is less than a first preset threshold; and deleting at least part of the historical low risk event video according to the generation time of the historical low risk event video in the case that the historical low risk event video is included in the storage space.
It should be noted that, because the capacity of the storage space is limited, if the abnormal event videos are too much, the storage space cannot meet the storage requirement of the abnormal event videos, but the low risk event aims to reserve the videos, so that more videos may exist, but risk events do not necessarily occur, and events such as scratch occur at a high probability, so that the fixed storage is considered, the video cannot be erased, if important videos of users are erased, the influence on the users is larger, and therefore, the video with the low risk event is considered to be a video with low value after the video with the long time, and circulation clearing can be performed when the storage space is lower, so that enough space is released to store the abnormal event videos at present conveniently.
The deletion policy may delete the low-risk event video according to the date of the low-risk event video, that is, when the remaining capacity of the storage space is smaller than the first preset threshold, delete the low-risk event video from the earliest one until the storage space can meet the storage requirement of the abnormal event video.
For example, when the occupation of the storage space exceeds 90 percent, 200 megabytes of storage space needs to be reserved for the current monitoring, so that the low-risk video which is the earliest from now can be deleted first, until 200MB of space is deleted, and then the abnormal event video is saved.
Referring to fig. 6, in some embodiments, step 01 further includes:
014: and during the starting period of the monitoring function, if the storage space is smaller than a first preset threshold value, canceling the storage of the monitoring image and generating an insufficient memory prompt.
Referring to fig. 2, sub-steps 011-013 may be implemented by save module 110. It can be appreciated that the saving module 110 is configured to cancel the saving of the monitored image and generate the out-of-memory indication if the storage space is smaller than the first preset threshold during the monitoring function is turned on.
In some embodiments, the processor may be configured to cancel the saving of the monitor image and generate the out-of-memory indication if the memory space is less than a first predetermined threshold during the monitoring function being on.
Specifically, because the user may fail to view the video of the abnormal event during the current monitoring, it is considered that the video of the current time needs to be viewed by the user at least once, and cannot be erased repeatedly (equivalent to not being recorded) within the current time. Therefore, the low-risk event video of this time is not deleted circularly, so that the user can see the video at least once.
If the abnormal event video is recorded in the abnormal event occurrence process, finding that there is not enough storage space (i.e. less than the first preset threshold) to meet the storage requirement, not recording, generating a space deficiency prompt, and sending the space deficiency prompt to the user terminal for prompting, so that the user can know through the user terminal. The first preset threshold may be 200 megabytes, that is, the storage space is less than 200 megabytes, and no recording is performed, the information in the insufficient space prompt may include information such as abnormal information of the vehicle and information that the video cannot be stored due to insufficient memory, for example, the insufficient space prompt may be "the whistle mode detects abnormal condition of the vehicle, and the vehicle safety is required to be confirmed in time due to insufficient memory space and failure to perform image recording".
Therefore, a user can know that the vehicle is abnormal in time, meanwhile, the storage space can be cleaned in time, and the normal storage of the follow-up abnormal event video is ensured.
Referring to fig. 7, in some embodiments, the processing method further includes:
03: detecting the residual capacity of the storage space;
04: and generating a cleaning prompt when the residual capacity is smaller than a second preset threshold value, and cleaning the cache when the vehicle is powered down.
Referring to fig. 8, in some embodiments, the processing apparatus 10 further includes a detection module 130 and a cleaning module 140, step 03 may be implemented by the detection module 130, step 04 may be implemented by the cleaning module 140, or in other words, the detection module 130 may be configured to detect a remaining capacity of the storage space, and the detection module 130 may be configured to generate a cleaning reminder when the remaining capacity is less than a second preset threshold, and clear the cache when the vehicle is powered down.
In some embodiments, the processor may be configured to detect a remaining capacity of the storage space, generate a clear alert if the remaining capacity is less than a second preset threshold, and clear the cache if the vehicle is powered down.
Specifically, the second preset threshold may be 5%, that is, when the remaining capacity of the storage space is detected to be less than 5%, the vehicle system may generate a cleaning alert notification, which notifies the user of cleaning the system space, and at the same time, the vehicle system may automatically clean the cache after being powered down, so as to release more space for the user to use. The content of the cleaning prompt can be "the use of the storage space exceeds 95%, please go to the storage space to clean in time, otherwise, recording of the video of the abnormal event may be affected. Of course, in other examples, the second preset threshold may be other values, which is not particularly limited.
Referring to fig. 9, in some embodiments, the processing method further includes:
05: in response to a user's viewing request to display a list of sentinel videos, the high risk event videos and/or the low risk event videos in the list of sentinel videos are arranged in time order.
Referring to fig. 8, in some embodiments, step 05 may be implemented by prompt module 150, or prompt module 150 may be configured to display a list of sentinel videos in which high risk event videos and/or low risk event videos are arranged in chronological order in response to a user's viewing request.
In some implementations, the processor can be configured to display a list of sentinel videos in which high risk event videos and/or low risk event videos are arranged in chronological order in response to a user's viewing request.
For example, referring to fig. 3 and fig. 4, in some examples, the summary prompt of the monitored event may further include a view button, where when the summary prompt of the monitored event displayed on the display screen includes a "click view" button after the user gets on the vehicle, if the user clicks the button, a view request is generated, and the user jumps to the sentinel video area to display a sentinel video list.
For another example, referring to FIG. 3, in some examples, the car system application includes an image setting, and the user clicks on the sentinel video field in the image setting, so that the display screen may display a sentinel video list interface.
Referring to fig. 10, in some embodiments, the processing method further includes:
06: and playing the selected abnormal event video according to the playing request, wherein the progress bar of the abnormal event video marks the starting moment position of the occurrence of the abnormal event.
Referring to fig. 8, in some embodiments, step 06 may be implemented by the prompt module 120, or the prompt module 120 may be further configured to play the selected abnormal event video according to the play request, where the starting time position of the occurrence of the abnormal event is marked in the progress bar of the abnormal event video.
In some embodiments, the processor may be configured to play the selected abnormal event video according to the play request, where a progress bar of the abnormal event video marks a start time position at which the abnormal event occurs.
Therefore, the user can conveniently and quickly position the position of the occurrence moment of the abnormal event when viewing the video of the abnormal event.
It should be noted that the mark about the start time position in the low-risk event video may be different from the mark about the start time position in the high-risk event video, for example, the start time position mark in the low-risk event video is orange, and the start time position mark in the high-risk event video is red. It will be appreciated that in some cases different risk types may be triggered simultaneously in the abnormal event video, all marked. So that the marking point can inform the user of the specific triggering event type such as approach of people and abnormal vibration.
The present invention also provides a non-transitory computer readable storage medium containing a computer program. The method of processing a monitoring event of any of the above embodiments is implemented when the computer program is executed by one or more processors.
For example, the computer program when executed by a processor implements the steps of the following processing method:
01: when the monitoring function is started, if the occurrence of an abnormal event is identified, storing monitoring images of a period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video;
02: and responding to the monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all abnormal event videos.
The computer readable storage medium can store the monitoring images of the time period from the preset time before the occurrence of the abnormal event to the end of the abnormal event to the guard video list to generate the abnormal event video when the abnormal event occurs, so that a user can check the complete process from the occurrence to the end of the abnormal event in the guard video list, provide favorable evidence for the subsequent user to process the abnormal event, generate and display the summarizing prompt of the monitoring event according to the monitoring function closing instruction and all the abnormal event videos, and enable the user to know how many abnormal events occur in the vehicle during the monitoring, thereby reducing anxiety of the user and improving the use experience.
It will be appreciated that the computer program comprises computer program code. The computer program code may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
Claims (10)
1. A method of processing a monitored event for a vehicle, the method comprising:
when a monitoring function is started, if an abnormal event is identified, storing monitoring images of a period from a preset time before the abnormal event occurs to the end of the abnormal event into a sentinel video list to generate an abnormal event video;
and responding to a monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all the abnormal event videos.
2. The processing method according to claim 1, wherein the abnormal event video includes a high risk event video and a low risk event video, and storing the monitored images of the period from a preset time before the abnormal event occurs to the end of the abnormal event in the sentinel video list to generate the abnormal event video includes:
detecting the residual capacity of the storage space;
detecting whether a historical low-risk event video is included in the storage space or not under the condition that the residual capacity is smaller than a first preset threshold value;
and deleting at least part of the historical low-risk event videos according to the generation time of the historical low-risk event videos under the condition that the storage space comprises the historical low-risk event videos.
3. The processing method according to claim 2, wherein the step of saving the monitoring image of the period from the preset time before the occurrence of the abnormal event to the end of the abnormal event to the sentinel video list to generate the abnormal event video further comprises:
and during the starting period of the monitoring function, if the storage space is smaller than the first preset threshold value, canceling the storage of the monitoring image and generating an insufficient memory prompt.
4. The processing method according to claim 1, characterized in that the processing method further comprises:
detecting the residual capacity of the storage space;
and generating a cleaning prompt when the residual capacity is smaller than a second preset threshold value, and cleaning the cache when the vehicle is powered down.
5. The processing method according to claim 1, wherein the abnormal events comprise high risk events and low risk events, and the summary prompt comprises a total number of low risk events and/or a total number of high risk events.
6. The processing method according to claim 1, wherein the abnormal event video includes a high risk event video and a low risk event video, the processing method further comprising:
and responding to a viewing request of a user to display the sentinel video list, wherein the high-risk event videos and/or the low-risk event videos in the sentinel video list are arranged in time sequence.
7. The method of processing according to claim 6, further comprising:
and playing the selected abnormal event video according to the playing request, wherein the starting moment position of the occurrence of the abnormal event is marked in the progress bar of the abnormal event video.
8. A processing device for monitoring events for a vehicle, the processing device comprising:
the storage module is used for storing the monitoring images of a time period from a preset time before the occurrence of the abnormal event to the end of the abnormal event into a sentinel video list to generate an abnormal event video if the occurrence of the abnormal event is identified when the monitoring function is started;
and the prompt module is used for responding to a monitoring function closing instruction to generate and display a summary prompt of the monitoring event according to all the abnormal event videos.
9. A vehicle comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the method of processing a monitoring event according to any of claims 1-7.
10. A non-transitory computer readable storage medium comprising a computer program, which when executed by a processor causes the processor to perform the method of processing a monitoring event according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311871803.XA CN117830897A (en) | 2023-12-29 | 2023-12-29 | Processing method, processing device, vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311871803.XA CN117830897A (en) | 2023-12-29 | 2023-12-29 | Processing method, processing device, vehicle and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117830897A true CN117830897A (en) | 2024-04-05 |
Family
ID=90509435
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311871803.XA Pending CN117830897A (en) | 2023-12-29 | 2023-12-29 | Processing method, processing device, vehicle and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117830897A (en) |
-
2023
- 2023-12-29 CN CN202311871803.XA patent/CN117830897A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20120021386A1 (en) | Method and apparatus for providing information about a vehicle | |
| US20150307048A1 (en) | Automobile alert information system, methods, and apparatus | |
| CN108495071A (en) | A kind of urgent image pickup method of automobile data recorder and system | |
| US20100110190A1 (en) | Image processing apparatus | |
| CN112235748B (en) | Vehicle moving reminding method and device and computer storage medium | |
| WO2018202016A1 (en) | Vehicle-mounted intelligent device and safety precaution method, server and system based thereon | |
| CN111508231B (en) | Vehicle following determination method, device and system for vehicles on the spot and electronic equipment | |
| CN111656411A (en) | Recording control device, recording control system, recording control method, and recording control program | |
| CN111145383A (en) | Alarm method, alarm device and computer storage medium | |
| WO2014184543A1 (en) | Driving event notification | |
| WO2021159310A1 (en) | Violation monitoring system and violation monitoring method | |
| CN109410363B (en) | Method and system for detecting accidents, accidents and/or fraud of vehicles | |
| JP2018148325A (en) | Recording device, transmission method, and program | |
| US20100103265A1 (en) | Image recording methods and systems for recording a scene-capturing image which captures road scenes around a car, and machine readable medium thereof | |
| JP2008191990A (en) | Parking lot monitoring system and method thereof | |
| CN112906426A (en) | Vehicle monitoring method, device and equipment and storage medium | |
| WO2019146488A1 (en) | Driving state monitoring device, driving state monitoring method, and driving state monitoring system | |
| CN114040152A (en) | Vehicle monitoring method | |
| CN106981104B (en) | Charging monitoring method, device, server and system | |
| CN117830897A (en) | Processing method, processing device, vehicle and storage medium | |
| CN111862529A (en) | Alarm method and equipment | |
| CN116206431A (en) | Alarm system, alarm message transmission method, computer program product and vehicle | |
| CN108919679A (en) | A kind of condition monitoring and processing method | |
| KR101036268B1 (en) | Method for calculating car insurance | |
| CN114407831A (en) | Vehicle with anti-theft alarm function and anti-theft alarm method and system for vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |