CN112165608A - Parking safety monitoring method and device, storage medium and vehicle - Google Patents
Parking safety monitoring method and device, storage medium and vehicle Download PDFInfo
- Publication number
- CN112165608A CN112165608A CN202011004868.0A CN202011004868A CN112165608A CN 112165608 A CN112165608 A CN 112165608A CN 202011004868 A CN202011004868 A CN 202011004868A CN 112165608 A CN112165608 A CN 112165608A
- Authority
- CN
- China
- Prior art keywords
- sound
- vehicle
- processing result
- camera
- dangerous
- 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
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000012545 processing Methods 0.000 claims abstract description 142
- 238000012806 monitoring device Methods 0.000 claims abstract description 6
- 230000004044 response Effects 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims description 27
- 238000011156 evaluation Methods 0.000 claims description 12
- 230000004888 barrier function Effects 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 2
- 230000005236 sound signal Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000003672 processing method Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 206010039740 Screaming Diseases 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Burglar Alarm Systems (AREA)
- Traffic Control Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The disclosure relates to a parking safety monitoring method, a parking safety monitoring device, a storage medium and a vehicle, belonging to the field of vehicle safety, wherein the method comprises the following steps: in response to the locking of the vehicle, instructing a sound sensor to collect sound and obtaining sound data; processing the sound data to obtain a sound processing result; and under the condition that the sound processing result indicates that the vehicle is dangerous, instructing a camera to start and starting shooting. The sound sensor with low power consumption can be used for detecting and analyzing sound information near the vehicle after the vehicle is parked, and the camera is awakened to record images near the vehicle when the vehicle is possibly damaged, so that evidence is provided after the vehicle is damaged. In the scheme, the power consumption of the sound sensor is low, the memory occupied by the sound data is low, and the power consumption of the whole vehicle during parking can be reduced while the memory consumption of related information storage during parking monitoring is reduced.
Description
Technical Field
The present disclosure relates to the field of vehicle safety, and in particular, to a parking safety monitoring method, device, storage medium, and vehicle.
Background
Based on the current economic development and the improvement of the living standard, finding a safe parking space becomes a trouble for many car owners, under the condition that no parking garage exists, many car owners can only park cars in the open air or other relatively complex environments, and under the environment, the cars are likely to send scratch events or other people maliciously scratch and rub. In the related art, a 24-hour monitoring automobile data recorder exists, however, the parking monitoring mode has a large demand for memory space and power supply of the automobile.
Disclosure of Invention
The invention aims to provide a method for solving the problem that parking monitoring in the related art has overlarge requirements on a memory space and a vehicle power supply.
In order to achieve the above object, the present disclosure provides a parking safety monitoring method, apparatus, storage medium, and vehicle.
According to a first aspect of embodiments of the present disclosure, there is provided a parking safety monitoring method, the method including:
in response to the locking of the vehicle, instructing a sound sensor to collect sound and obtaining sound data;
processing the sound data to obtain a sound processing result;
and under the condition that the sound processing result indicates that the vehicle is dangerous, instructing a camera to start and starting shooting.
Optionally, the processing the sound data to obtain a sound processing result includes:
sampling the sound data by recording the amplitude values of sound waveforms at equidistant points to obtain a sampling result;
carrying out slicing processing on the sampling result in a preset frame length to obtain a slicing processing result;
performing characteristic comparison according to the slice processing result and reference characteristics in a database to obtain a sound processing result, wherein the reference characteristics are sound characteristics which are stored in the database in advance and used for representing that the vehicle has danger;
wherein, in the event that the sound processing result characterizes that the slice processing result matches the reference feature, it is determined that the sound processing result characterizes that the vehicle is at risk.
Optionally, there are a plurality of sound sensors, and the processing the sound data to obtain a sound processing result includes:
obtaining the sound processing result including the source position of the target sound according to the time delay of the target sound transmitted to the plurality of sound sensors or the signal intensity of the target sound acquired by the plurality of sound sensors;
the instructing a camera to start and start shooting when it is determined that the sound processing result represents that the vehicle is dangerous comprises:
and in the case that the sound processing result indicates that the vehicle is dangerous, indicating a camera pointed to the source position to start and start shooting.
Optionally, before the instructing the sound sensor to collect the sound and obtain the sound data in response to the vehicle being locked, the method further comprises:
acquiring GPS positioning information of a current vehicle, and acquiring a picture before locking the vehicle through the camera;
the instructing a camera pointing to the source position to start and start shooting when it is determined that the sound processing result represents that the vehicle is dangerous comprises:
under the condition that the sound processing result indicates that the vehicle is dangerous, judging whether a barrier exists between the source position and the vehicle or not according to the GPS positioning information and the picture before locking;
in the absence of a barrier, the camera pointed at the source location is instructed to start and begin shooting.
Optionally, the method further comprises:
responding to the start of shooting of the camera, and acquiring an image shot by the camera;
processing the image to obtain an image processing result;
instructing the vehicle to send out a warning under the condition that the image processing result is determined to represent that the vehicle is dangerous;
and under the condition that the image processing result is determined to represent that the vehicle is not dangerous, indicating the camera to be closed.
Optionally, the method further comprises:
counting the frequency of occurrence of dangerous features according to the sound processing result and the image processing result, and generating an evaluation report according to the frequency of occurrence of the dangerous features;
and sending the evaluation report to the vehicle owner.
A second aspect of the present disclosure provides a parking safety monitoring apparatus, which is characterized in that the apparatus includes:
the acquisition module is used for responding to the locking of the vehicle and indicating the sound sensor to acquire sound to obtain sound data;
the processing module is used for processing the sound data to obtain a sound processing result;
and the indicating module is used for indicating the camera to start and start shooting under the condition that the sound processing result represents that the vehicle has danger.
Optionally, the processing module further comprises:
the sampling module is used for sampling the sound data by recording the amplitude values of the sound waveform at equidistant points to obtain a sampling result;
the slicing module is used for carrying out slicing processing on the sampling result in a preset frame length to obtain a slicing processing result;
and the comparison module is used for comparing the characteristics according to the slice processing result with the reference characteristics in the database to obtain a sound processing result.
A third aspect of the present disclosure provides a computer readable storage medium having a computer program stored thereon, wherein the program is configured to, when executed by a processor, perform the steps of the method provided by the first aspect of the present disclosure.
A fourth aspect of the present disclosure provides a vehicle, characterized in that the vehicle comprises a parking safety monitoring device for performing the steps of the method provided by the first aspect of the present disclosure.
Through the technical scheme, the sound information near the vehicle can be detected and analyzed through the sound sensor with low power consumption after the vehicle is parked, and the camera is awakened to record the image near the vehicle when the vehicle is possibly damaged so as to provide evidence after the vehicle is damaged. In the scheme, the power consumption of the sound sensor is low, the memory occupied by the sound data is low, and the power consumption of the whole vehicle during parking can be reduced while the memory consumption of related information storage during parking monitoring is reduced.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a parking monitoring method according to an exemplary embodiment.
FIG. 2 is another flow chart illustrating a method of parking monitoring according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating a parking monitoring device according to an exemplary embodiment.
FIG. 4 is an electronic device shown in accordance with an example embodiment.
FIG. 5 is a vehicle shown according to an exemplary embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect. The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units. It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
FIG. 1 is a flow chart illustrating a parking monitoring method according to an exemplary embodiment, as shown in FIG. 1, the method including:
and S101, responding to the locking of the vehicle, and indicating the sound sensor to collect sound to obtain sound data.
Specifically, for example, after the vehicle owner receives the vehicle locking signal, the switch of the sound sensor is instructed to be turned on, and a sound signal near the vehicle is collected.
And S102, processing the voice data to obtain a voice processing result.
For example, the processing of the sound data to obtain the sound processing result may specifically be sampling the sound data by recording amplitudes of sound waveforms at equidistant points to obtain a sampling result; slicing the sampling result in a preset frame length to obtain a slicing processing result; comparing the characteristics of the slicing processing result with the reference characteristics in the database to obtain a sound processing result, wherein the reference characteristics are sound characteristics which are pre-stored in the database and used for representing that the vehicle has danger; wherein, in case the sound processing result indicates that the slice processing result matches the reference feature, it is determined that the sound processing result indicates that the vehicle is in danger. With this scheme, the analog signal of the sound can be converted into a digital signal understandable by the database, i.e., the sampling result, by sampling. Furthermore, in order to compare with reference features in a database conveniently, the scheme performs slicing processing on the sampling result, the slicing method can adopt an overlapping segmentation method, and a part of frames in the slicing method are overlapped, so that smooth transition between the frames can be ensured, namely, continuity of the sound signal is ensured. In addition, the sound characteristics pre-stored in the database for characterizing the danger of the vehicle may include abnormal sound data collected under different environmental conditions, such as a gunshot sound, a screaming noise, a glass breaking sound, etc., and the sound data reference standard is established by extracting different characteristics from various sounds. At the moment, the sound data can be reasonably processed and compared with the reference characteristics in the database to obtain an accurate sound processing result.
And S103, instructing the camera to start and start shooting when the sound processing result indicates that the vehicle is dangerous.
In the embodiment of the disclosure, after the vehicle is parked, the sound sensor with low power consumption is used for detecting the sound information near the vehicle, and whether the sound information contains potential dangerous behaviors is analyzed by utilizing the capability of artificial intelligence, so that the camera is awakened to record images near the vehicle when the vehicle is possibly damaged, and evidence is provided after the vehicle is damaged. The sound sensor is low in power consumption, the memory occupied by sound data is low, and the power consumption of the whole vehicle during parking can be reduced while the memory consumption of related information storage during parking monitoring is reduced.
For example, there may be a plurality of sound sensors, and processing the sound data to obtain a sound processing result may further include: obtaining the sound processing result including the source position of the target sound according to the time delay of the target sound transmitted to the plurality of sound sensors or the strength of the target sound signals collected by the plurality of sound sensors; the instructing the camera to start and start shooting when it is determined that the sound processing result represents that the vehicle is dangerous includes: and in the case that the sound processing result indicates that the vehicle is dangerous, indicating a camera pointed to the source position to start and start shooting. The plurality of sound sensors can be respectively installed on a front air intake grille, the rear part of a roof and left and right rearview mirrors of a vehicle, for example, sound around the vehicle can be comprehensively collected, so that the direction of a sound source can be judged according to time delay from the sound to different sensors, or the position of the sound source can be judged through the strength of sound signals received by different sound sensors, after the position of the sound source is determined, under the condition that the sound processing result represents that the vehicle is dangerous, a camera pointing to the source position can be indicated to be started according to the position of the sound source, the camera can be a camera pointing to the source position, or can be a camera pointing to the source position in a rotating mode, and the method for pointing to the source position by the camera is not limited. At the moment, the cameras in the designated directions can be started according to the sound direction information, fewer cameras can be used, and electric energy can be further reasonably distributed.
As yet another example, prior to the instructing the sound sensor to capture sound and obtain sound data in response to the vehicle being locked, the method includes: acquiring GPS (global Positioning system) Positioning information of a current vehicle, and acquiring a picture before locking the vehicle through the camera; the instructing a camera pointing to the source position to start and start shooting when it is determined that the sound processing result represents that the vehicle is in danger comprises: under the condition that the sound processing result indicates that the vehicle is dangerous, judging whether a barrier exists between the source position and the vehicle or not according to the GPS positioning information and the picture before locking; in the absence of a barrier, the camera pointed at the source location is instructed to start and begin shooting. In this case, when the position of the sound source is determined, if an obstacle exists between the vehicle and the sound source position, the camera is not turned on, and further, the power saving function is performed.
Illustratively, the method of the embodiment of the present disclosure may further include: responding to the start of shooting of the camera, and acquiring an image shot by the camera; processing the image to obtain an image processing result; indicating the vehicle to send out a warning under the condition that the image processing result indicates that the vehicle is dangerous; and under the condition that the image processing result is determined to represent that the vehicle is not dangerous, indicating that the camera is turned off. By adopting the scheme, the image processing method can be used for processing according to the picture shot by the camera after the sound processing result indicates that the vehicle has danger and the camera is started, the processing method can be used for extracting the characteristics of the pedestrian in the picture, including but not limited to dangerous articles, walking forms and the like, analyzing whether the pedestrian carries dangerous tools or not and whether the pedestrian is a dangerous characteristic such as drunk or not, and determining that the image processing result indicates that the vehicle has danger under the condition that the characteristics in the image are matched with the reference characteristics in the database, at the moment, the warning can be sent out by methods such as indicating the headlight of the vehicle to flicker or indicating the horn to whistle, so that the effect of warning people possibly causing the vehicle danger nearby can be achieved, the safety of the vehicle when the vehicle is parked can be improved, and the image nearby the vehicle can be collected and stored under the condition that the sound processing result indicates that the vehicle has danger, evidence is preserved for possible later-existing rights. In addition, the camera can be turned off under the condition that the vehicle is not dangerous, and the power consumption is saved.
Illustratively, the method of the embodiment of the present disclosure may further include: counting the frequency of occurrence of dangerous features according to the sound processing result and the image processing result, and generating an evaluation report according to the frequency of occurrence of the dangerous features; the assessment report is sent to the owner of the vehicle. In addition, the assessment report may include a safety rating of the current parking spot generated according to the frequency of occurrence of the danger features, for example, the occurrence of the danger features is one time, the safety rating is 1, and if the danger features occur ten times, the safety rating is 5. It should be noted that, in the parking process of the vehicle, if only the sound processing result is adopted and the picture collected by the camera is not processed, a corresponding evaluation report can be generated and sent to the vehicle owner. By adopting the scheme, the frequency of dangerous characteristics in the vehicle parking process can be counted, and an evaluation report is generated and sent to the vehicle owner, so that the vehicle owner can know the safety condition of vehicle parking more, and when the vehicle owner is unsatisfied with the safety condition of the current parking position, the vehicle can be actively moved to find a safer parking position, and the vehicle is prevented from being damaged.
In order to make those skilled in the art understand the technical solution provided by the embodiment of the present disclosure, the following is another flowchart of a parking monitoring method according to an exemplary embodiment, as shown in fig. 2, the method includes:
s201, the vehicle is shut off, and the driver locks the vehicle.
And S202, after the vehicle is locked, indicating the sound sensor to start working and collecting sound data.
S203, the audio data is processed to obtain a slicing result.
And S204, comparing the characteristics of the slice processing result with the reference characteristics in the database to obtain a sound processing result.
S205, judging whether the sound processing result represents that the vehicle has danger or not.
In case the sound processing result indicates that the slicing processing result matches the reference feature, it is determined that the sound processing result indicates that the vehicle is dangerous, and step S206 is performed. If there is no danger, step S202 is executed.
And S206, judging the source position of the sound according to the strength of the sound signals collected by different sound sensors.
And S207, judging the relation between the vehicle and the source position of the sound according to the GPS positioning information and the image shot before the vehicle stops.
S208, judging whether a barrier exists between the source position of the sound and the vehicle.
If there is a barrier, step S209 is executed, and if there is no barrier, step S202 is executed.
S209, waking up the camera pointing to the source position of the sound for shooting, and sending a short message or informing the owner of the sound through an APP.
And S210, comparing the image acquired by the camera with the characteristics of the database to obtain an image processing result.
And S211, judging whether the image processing result representation has danger or not. Step S212 is performed in case it is determined that the image processing result is indicative of no risk, whereas step S213 is performed otherwise.
And S212, indicating the camera to be closed.
And S213, indicating the light flicker of the vehicle and the horn of the vehicle to whistle and warn.
S214, counting the occurrence frequency of dangerous features in the sound processing result and the image processing result, and evaluating the safety level of the current parking position.
And S215, generating an evaluation report and sending the evaluation report to a user.
In the embodiment of the disclosure, after the vehicle is parked, the sound sensor with low power consumption is used for detecting the sound information near the vehicle, and whether the sound information contains potential dangerous behaviors is analyzed by utilizing the capability of artificial intelligence, so that the camera is awakened to record images near the vehicle when the vehicle is possibly damaged, and evidence is provided after the vehicle is damaged. The sound sensor is low in power consumption, the memory occupied by sound data is low, and the power consumption of the whole vehicle during parking can be reduced while the memory consumption of related information storage during parking monitoring is reduced.
Fig. 3 is a block diagram of a parking monitoring apparatus 30 according to an exemplary embodiment, as shown in fig. 3, including:
the acquisition module 31 is used for responding to locking of the vehicle and instructing the sound sensor to acquire sound to obtain sound data;
the processing module 32 is configured to process the sound data to obtain a sound processing result;
and the indicating module 33 is used for indicating the camera to start and start shooting when the sound processing result indicates that the vehicle is dangerous.
In the embodiment of the disclosure, after the vehicle is parked, the sound sensor with low power consumption is used for detecting the sound information near the vehicle, and whether the sound information contains potential dangerous behaviors is analyzed by utilizing the capability of artificial intelligence, so that the camera is awakened to record images near the vehicle when the vehicle is possibly damaged, and evidence is provided after the vehicle is damaged. The sound sensor is low in power consumption, the memory occupied by sound data is low, and the power consumption of the whole vehicle during parking can be reduced while the memory consumption of related information storage during parking monitoring is reduced.
Illustratively, the processing module 32 further includes: the sampling module is used for sampling the sound data by recording the amplitude values of the sound waveform at equidistant points to obtain a sampling result; the slicing module is used for carrying out slicing processing on the sampling result in a preset frame length to obtain a slicing processing result; the comparison module is used for comparing the characteristics according to the slice processing result with the reference characteristics in the database to obtain a sound processing result, wherein the reference characteristics are sound characteristics which are stored in the database in advance and used for representing that the vehicle has danger; wherein, in case the sound processing result indicates that the slice processing result matches the reference feature, it is determined that the sound processing result indicates that the vehicle is in danger. With this scheme, the analog signal of the sound can be converted into a digital signal understandable by the database, i.e., the sampling result, by sampling. Furthermore, in order to compare with reference features in a database conveniently, the scheme performs slicing processing on the sampling result, the slicing method can adopt an overlapping segmentation method, and a part of frames in the slicing method are overlapped, so that smooth transition between the frames can be ensured, namely, continuity of the sound signal is ensured. In addition, the sound characteristics pre-stored in the database for characterizing the danger of the vehicle may include abnormal sound data collected under different environmental conditions, such as a gunshot sound, a screaming noise, a glass breaking sound, etc., and the sound data reference standard is established by extracting different characteristics from various sounds. At the moment, the sound data can be reasonably processed and compared with the reference characteristics in the database to obtain an accurate sound processing result.
Illustratively, the processing module 32 further includes: the positioning module is used for obtaining the sound processing result comprising the source position of the target sound according to the time delay of the target sound transmitted to the plurality of sound sensors or the signal intensity of the target sound acquired by the plurality of sound sensors; the indicating module 33 is further configured to instruct a camera pointing to the source location to start and start shooting if it is determined that the sound processing result indicates that the vehicle is in danger. At the moment, the cameras in the designated directions can be started according to the sound direction information, fewer cameras can be used, and electric energy can be further reasonably distributed.
Illustratively, the apparatus 30 further comprises: the first acquisition module is used for acquiring the GPS positioning information of the current vehicle and acquiring a picture before the vehicle is locked through the camera; the indication module 33 is configured to determine whether there is a barrier between the source location and the vehicle according to the GPS positioning information and the image before locking when it is determined that the sound processing result indicates that the vehicle is dangerous; in the absence of a barrier, the camera pointed at the source location is instructed to start and begin shooting. In this case, when the position of the sound source is determined, if an obstacle exists between the vehicle and the sound source position, the camera is not turned on, and further, the power saving function is performed.
Illustratively, the apparatus 30 further comprises: the second acquisition module is used for responding to the start of shooting of the camera and acquiring the image shot by the camera; the processing module 32 is further configured to process the image to obtain an image processing result; the indicating module 33 is further configured to indicate the vehicle to issue a warning if it is determined that the image processing result indicates that the vehicle is dangerous; and indicating the camera to be closed under the condition that the image processing result is determined to represent that the vehicle is not dangerous. By adopting the scheme, the image processing method can be used for processing according to the picture shot by the camera after the sound processing result indicates that the vehicle has danger and the camera is started, the processing method can be used for extracting the characteristics of the pedestrian in the picture, including but not limited to dangerous articles, walking forms and the like, analyzing whether the pedestrian carries dangerous tools or not and whether the pedestrian is a dangerous characteristic such as drunk or not, and determining that the image processing result indicates that the vehicle has danger under the condition that the characteristics in the image are matched with the reference characteristics in the database, at the moment, the warning can be sent out by methods such as indicating the headlight of the vehicle to flicker or indicating the horn to whistle, so that the effect of warning people possibly causing the vehicle danger nearby can be achieved, the safety of the vehicle when the vehicle is parked can be improved, and the image nearby the vehicle can be collected and stored under the condition that the sound processing result indicates that the vehicle has danger, evidence is preserved for possible later-existing rights. In addition, the camera can be turned off under the condition that the vehicle is not dangerous, and the power consumption is saved.
Illustratively, the apparatus 30 further comprises: the statistical module is used for counting the frequency of occurrence of the dangerous features according to the sound processing result and the image processing result and generating an evaluation report according to the frequency of occurrence of the dangerous features; and the sending module is used for sending the evaluation report to the vehicle owner. By adopting the scheme, the frequency of dangerous characteristics in the vehicle parking process can be counted, and an evaluation report is generated and sent to the vehicle owner, so that the vehicle owner can know the safety condition of vehicle parking more, and when the vehicle owner is unsatisfied with the safety condition of the current parking position, the vehicle can be actively moved to find a safer parking position, and the vehicle is prevented from being damaged.
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. 4 is a block diagram illustrating an electronic device 40 according to an example embodiment. As shown in fig. 4, the electronic device 40 may include: a processor 41 and a memory 42. The electronic device 40 may also include one or more of a multimedia component 43, an input/output (I/O) interface 44, and a communications component 45.
The processor 41 is configured to control the overall operation of the electronic device 40, so as to complete all or part of the steps of the parking monitoring method. The memory 42 is used to store various types of data to support operation at the electronic device 40, such as instructions for any application or method operating on the electronic device 40, and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 42 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 43 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may further be stored in the memory 42 or transmitted through the communication component 45. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 44 provides an interface between the processor 41 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 45 is used for wired or wireless communication between the electronic device 40 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 45 may thus comprise: Wi-Fi module, Bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic Device 40 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the parking monitoring method described above.
In another exemplary embodiment, a computer-readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the parking monitoring method described above is also provided. For example, the computer readable storage medium may be the memory 42 described above including program instructions that are executable by the processor 41 of the electronic device 40 to perform the parking monitoring method described above.
Fig. 5 is a vehicle 50 according to an exemplary embodiment, which includes a sound sensor 51, a parking monitoring device 30 and a camera 52, as shown in fig. 5, wherein the parking monitoring device 30 is used for executing the parking monitoring method.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A parking safety monitoring method, the method comprising:
in response to the locking of the vehicle, instructing a sound sensor to collect sound and obtaining sound data;
processing the sound data to obtain a sound processing result;
and under the condition that the sound processing result indicates that the vehicle is dangerous, instructing a camera to start and starting shooting.
2. The method of claim 1, wherein the processing the sound data to obtain a sound processing result comprises:
sampling the sound data by recording the amplitude values of sound waveforms at equidistant points to obtain a sampling result;
carrying out slicing processing on the sampling result in a preset frame length to obtain a slicing processing result;
performing characteristic comparison according to the slice processing result and reference characteristics in a database to obtain a sound processing result, wherein the reference characteristics are sound characteristics which are stored in the database in advance and used for representing that the vehicle has danger;
wherein, in the event that the sound processing result characterizes that the slice processing result matches the reference feature, it is determined that the sound processing result characterizes that the vehicle is at risk.
3. The method of claim 1, wherein there are a plurality of sound sensors, and wherein processing the sound data to obtain a sound processing result comprises:
obtaining the sound processing result including the source position of the target sound according to the time delay of the target sound transmitted to the plurality of sound sensors or the signal intensity of the target sound acquired by the plurality of sound sensors;
the instructing a camera to start and start shooting when it is determined that the sound processing result represents that the vehicle is dangerous comprises:
and in the case that the sound processing result indicates that the vehicle is dangerous, indicating a camera pointed to the source position to start and start shooting.
4. The method of claim 3, wherein prior to said instructing the sound sensor to capture sound and obtain sound data in response to the vehicle being locked, comprising:
acquiring GPS positioning information of a current vehicle, and acquiring a picture before locking the vehicle through the camera;
the instructing a camera pointing to the source position to start and start shooting when it is determined that the sound processing result represents that the vehicle is dangerous comprises:
under the condition that the sound processing result indicates that the vehicle is dangerous, judging whether a barrier exists between the source position and the vehicle or not according to the GPS positioning information and the picture before locking;
in the absence of a barrier, the camera pointed at the source location is instructed to start and begin shooting.
5. The method according to any one of claims 1-4, further comprising:
responding to the start of shooting of the camera, and acquiring an image shot by the camera;
processing the image to obtain an image processing result;
instructing the vehicle to send out a warning under the condition that the image processing result is determined to represent that the vehicle is dangerous;
and under the condition that the image processing result is determined to represent that the vehicle is not dangerous, indicating the camera to be closed.
6. The method of claim 5, further comprising:
counting the frequency of occurrence of dangerous features according to the sound processing result and the image processing result, and generating an evaluation report according to the frequency of occurrence of the dangerous features;
and sending the evaluation report to the vehicle owner.
7. A parking safety monitoring apparatus, the apparatus comprising:
the acquisition module is used for responding to the locking of the vehicle and indicating the sound sensor to acquire sound to obtain sound data;
the processing module is used for processing the sound data to obtain a sound processing result;
and the indicating module is used for indicating the camera to start and start shooting under the condition that the sound processing result represents that the vehicle has danger.
8. The apparatus of claim 5, wherein the processing module further comprises:
the sampling module is used for sampling the sound data by recording the amplitude values of the sound waveform at equidistant points to obtain a sampling result;
the slicing module is used for carrying out slicing processing on the sampling result in a preset frame length to obtain a slicing processing result;
and the comparison module is used for comparing the characteristics according to the slice processing result with the reference characteristics in the database to obtain a sound processing result.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A vehicle, characterized in that it comprises a parking safety monitoring device for performing the steps of the method according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011004868.0A CN112165608A (en) | 2020-09-22 | 2020-09-22 | Parking safety monitoring method and device, storage medium and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011004868.0A CN112165608A (en) | 2020-09-22 | 2020-09-22 | Parking safety monitoring method and device, storage medium and vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112165608A true CN112165608A (en) | 2021-01-01 |
Family
ID=73864349
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011004868.0A Pending CN112165608A (en) | 2020-09-22 | 2020-09-22 | Parking safety monitoring method and device, storage medium and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112165608A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118506329A (en) * | 2024-04-23 | 2024-08-16 | 江苏紫荆科技文化有限公司 | Probability reduction system based on visual big data analysis |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102555907A (en) * | 2010-12-06 | 2012-07-11 | 富士通天株式会社 | Object detection apparatus and method thereof |
| CN104309577A (en) * | 2014-11-14 | 2015-01-28 | 濮宏保 | Vehicle-mounted invasion prevention alarming system with intellisense |
| CN105459954A (en) * | 2015-12-16 | 2016-04-06 | 方正宽带网络服务有限公司 | Automobile alarming method and device |
| CN109087533A (en) * | 2018-09-28 | 2018-12-25 | 盯盯拍（深圳）云技术有限公司 | Stop monitoring method, parking monitoring device and Monitor System of Stop |
| CN109685938A (en) * | 2019-02-27 | 2019-04-26 | 深圳市京华信息技术有限公司 | A kind of automobile data recorder |
| CN110765823A (en) * | 2018-07-27 | 2020-02-07 | 杭州海康威视系统技术有限公司 | Target identification method and device |
| CN111048114A (en) * | 2019-12-30 | 2020-04-21 | 深圳江行联加智能科技有限公司 | Equipment and method for detecting abnormal sound of equipment |
| CN111432165A (en) * | 2019-01-09 | 2020-07-17 | 上海博泰悦臻电子设备制造有限公司 | Reminding method and device and computer storage medium |
-
2020
- 2020-09-22 CN CN202011004868.0A patent/CN112165608A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102555907A (en) * | 2010-12-06 | 2012-07-11 | 富士通天株式会社 | Object detection apparatus and method thereof |
| CN104309577A (en) * | 2014-11-14 | 2015-01-28 | 濮宏保 | Vehicle-mounted invasion prevention alarming system with intellisense |
| CN105459954A (en) * | 2015-12-16 | 2016-04-06 | 方正宽带网络服务有限公司 | Automobile alarming method and device |
| CN110765823A (en) * | 2018-07-27 | 2020-02-07 | 杭州海康威视系统技术有限公司 | Target identification method and device |
| CN109087533A (en) * | 2018-09-28 | 2018-12-25 | 盯盯拍（深圳）云技术有限公司 | Stop monitoring method, parking monitoring device and Monitor System of Stop |
| CN111432165A (en) * | 2019-01-09 | 2020-07-17 | 上海博泰悦臻电子设备制造有限公司 | Reminding method and device and computer storage medium |
| CN109685938A (en) * | 2019-02-27 | 2019-04-26 | 深圳市京华信息技术有限公司 | A kind of automobile data recorder |
| CN111048114A (en) * | 2019-12-30 | 2020-04-21 | 深圳江行联加智能科技有限公司 | Equipment and method for detecting abnormal sound of equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118506329A (en) * | 2024-04-23 | 2024-08-16 | 江苏紫荆科技文化有限公司 | Probability reduction system based on visual big data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2678909C2 (en) | Boundary detection system | |
| US10875503B2 (en) | System and method for anti-theft control for autonomous vehicle | |
| US9129159B2 (en) | Vehicle headlight state monitoring methods, systems and processor-readable media | |
| CN111002945B (en) | Method for processing parameters associated with the surroundings of a vehicle and vehicle system | |
| CN112977338B (en) | Vehicle remote monitoring method, vehicle and readable storage medium | |
| US20140043159A1 (en) | Security system, program product therefor, and surveillance method | |
| US10549719B2 (en) | OBD device vehicle security alarm detection | |
| JP6063189B2 (en) | Drive recorder | |
| CN114494955A (en) | Regional intrusion detection method and system based on video data and electronic equipment | |
| KR102295688B1 (en) | Apparatus and method for judging tunnel situation | |
| CN112165608A (en) | Parking safety monitoring method and device, storage medium and vehicle | |
| JP5939201B2 (en) | Status monitoring apparatus, security system, program, and status monitoring method | |
| CN117565819A (en) | Vehicle control method and device and vehicle | |
| CN118004091A (en) | Vehicle monitoring method, vehicle monitoring device, vehicle and storage medium | |
| CN114530057B (en) | Vehicle early warning method and device, vehicle and storage medium | |
| JP2019028482A (en) | On-board device and driving support device | |
| KR20130011350A (en) | Method for guiding safe driving of car, apparatus and system for the same | |
| US11854270B1 (en) | Vehicle off-guard monitoring system | |
| CN115620248B (en) | Camera calling method and system based on traffic monitoring | |
| CN118636834A (en) | Vehicle monitoring method, device, equipment and storage medium | |
| CN110503522B (en) | Tracking order generation method, storage medium and electronic equipment | |
| US20240190417A1 (en) | System and method for providing useful information following an impact event | |
| CN118411702A (en) | Information processing apparatus and method | |
| CN118247910A (en) | Vehicle smoke detection alarm method on parking space based on deep learning target detection | |
| CN116215448A (en) | Sentinel mode control method and system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210101 |