CN108449571A - A kind of car monitoring method and equipment - Google Patents
A kind of car monitoring method and equipment Download PDFInfo
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- CN108449571A CN108449571A CN201810090072.8A CN201810090072A CN108449571A CN 108449571 A CN108449571 A CN 108449571A CN 201810090072 A CN201810090072 A CN 201810090072A CN 108449571 A CN108449571 A CN 108449571A
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 230000002159 abnormal effect Effects 0.000 claims abstract description 70
- 238000012545 processing Methods 0.000 claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims description 27
- 230000001815 facial effect Effects 0.000 claims description 25
- 238000001514 detection method Methods 0.000 claims description 20
- 239000000779 smoke Substances 0.000 claims description 19
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims 1
- 238000012806 monitoring device Methods 0.000 description 23
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/007—Details of data content structure of message packets; data protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/22—Status alarms responsive to presence or absence of persons
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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Abstract
The invention discloses a kind of interior monitoring method and equipment, the car monitoring method includes：Obtain the real time image data of vehicle interior；Analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result；Exception is judged whether according to the image analysing computer result；If in the presence of alarm is sent to server or car owner's terminal of binding；According to the server either car owner's terminal request of data send corresponding abnormal image data so that the server or car owner's terminal execute corresponding measure after confirming exception.The workload manually participated in is reduced using the embodiment of the present invention; monitoring efficiency is improved, the artificial possibility failed to judge or judged by accident is reduced, on the other hand greatly reduces the data volume for being transferred to network; the risk for greatly reducing information security events, is effectively protected privacy of user.
Description
Technical field
The present invention relates to technical field of vehicle more particularly to a kind of interior monitoring methods and equipment.
Background technology
With the development of automotive engineering, the large-scale use of vehicle becomes a reality, and is brought greatly to people’s lives
Convenience.However also many problems of association in use.For example child is forgotten in the car after sometimes car owner's parking
Some tragedies occur, or when other people use the vehicle of car owner, some abnormal activities in the car that can lead to making for vehicle
It is reduced with efficiency.In order to avoid the above problem, the method for generally using interior monitoring now is monitored vehicle interior, and one
Other users' of aspect specification is on the other hand also to avoid because forgeing the tragedy generated with garage.But existing interior monitoring
Method, be all by after data in mobile unit collecting vehicle, uploading onto the server or being transmitted directly to artificial terminal, by people come into
Row differentiates whether car has exception.Although the prior art can accomplish interior real time monitoring, since data volume is big, on the one hand
There are artificial judgments to be susceptible to erroneous judgement, the phenomenon that failing to judge, while huge workload also results in inefficiency；On the other hand
Since data are by network transmission to server or monitor terminal, information security events are easy to happen, privacy leakage is brought
Risk.
Invention content
A kind of interior monitoring method of offer of the embodiment of the present invention and equipment, advantageously account for relying in the prior art and manually sentence
The problem of disconnected environment inside car and information security are revealed, while improving the monitoring efficiency of environment inside car.
In a first aspect, the embodiment of the present invention provides a kind of interior monitoring method, the method includes：Obtain vehicle interior
Real time image data；Analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result；According to
The image analysing computer result judges whether exception；If in the presence of alarm is sent to server or car owner's terminal of binding；
Corresponding abnormal image data are sent according to the request of data of the server or car owner's terminal, so that the server
Or car owner's terminal executes corresponding measure after confirming exception.
In conjunction with the embodiment of the present invention in a first aspect, first aspect of the embodiment of the present invention the first possible realization method
In, the preset algorithm includes human Facial Image Recognition Algorithm, Smoke Detection algorithm, it is described according to preset algorithm to the real-time imaging number
According to analyzing processing is carried out, specifically include：Portrait quantity and the people in the real time image data are identified using human Facial Image Recognition Algorithm
As state；The smog generating state in the real time image data is identified using Smoke Detection algorithm.
In conjunction with the first possible realization method of first aspect of the embodiment of the present invention, in first aspect of the embodiment of the present invention
Second of possible realization method in, it is described that exception is judged whether according to the image analysing computer result, specifically include：Root
Judge according to the smog generating state in the image analysing computer result interior with the presence or absence of smog, and if it exists, then judge to exist abnormal.
In conjunction with the first possible realization method of first aspect of the embodiment of the present invention, second of first aspect it is possible
Realization method, in the third possible realization method of first aspect of the embodiment of the present invention, it is described according to the image analysing computer
As a result it judges whether exception, specifically includes：Obtain the operating status of vehicle；Judge the portrait in the image analysing computer result
Whether quantity and/or portrait state match with the operating status of the vehicle；If mismatching, judge to exist abnormal.
In conjunction with the embodiment of the present invention in a first aspect, first aspect of the embodiment of the present invention the 4th kind of possible realization method
In, the corresponding abnormal image data include abnormal start to the abnormal image data for eliminating the period.
Second aspect of the present invention provides a kind of equipment, and the equipment includes：It is stored with the storage of executable program code
Device；The processor coupled with the memory；The processor calls the executable program generation stored in the memory
Code executes following steps：Obtain the real time image data of vehicle interior；The real time image data is carried out according to preset algorithm
Analyzing processing obtains image analysing computer result；Exception is judged whether according to the image analysing computer result；If in the presence of to clothes
Business device or car owner's terminal of binding send alarm；According to the transmission pair of the request of data of the server or car owner's terminal
The abnormal image data answered, so that the server or car owner's terminal execute corresponding measure after confirming exception.
In conjunction with second aspect of the embodiment of the present invention, in the first possible realization method of second aspect of the embodiment of the present invention
In, the preset algorithm includes human Facial Image Recognition Algorithm, Smoke Detection algorithm, and the processor executes described according to preset algorithm pair
The real time image data carries out analyzing processing, and concrete mode is：The real time image data is identified using human Facial Image Recognition Algorithm
In portrait quantity and portrait state；The smog generating state in the real time image data is identified using Smoke Detection algorithm.
In conjunction with the first possible realization method of second aspect of the embodiment of the present invention, in second aspect of the embodiment of the present invention
Second of possible realization method in, the processor execute it is described judged whether according to the image analysing computer result it is different
Often, concrete mode is：Judge that car whether there is smog according to the smog generating state in the image analysing computer result, if depositing
Then judging to exist abnormal.
In conjunction with the first possible realization method of second aspect of the embodiment of the present invention, second of second aspect it is possible
Realization method, in the third possible realization method of second aspect of the embodiment of the present invention, the processor executes described
Exception is judged whether according to the image analysing computer result, is specifically included：Obtain the operating status of vehicle；Judge the image point
Whether portrait quantity and/or portrait state in analysis result match with the operating status of the vehicle；If mismatching, judgement is deposited
In exception.
In conjunction with second aspect of the embodiment of the present invention, in the 4th kind of possible realization method of second aspect of the embodiment of the present invention
In, it includes abnormal start to the abnormal image number for eliminating the period that the processor, which executes the corresponding abnormal image data,
According to.
As can be seen that in an embodiment of the present invention, obtaining the real time image data of vehicle interior；According to preset algorithm pair
The real time image data carries out analyzing processing, obtains image analysing computer result；Judge whether to deposit according to the image analysing computer result
In exception；If in the presence of alarm is sent to server or car owner's terminal of binding；According to the server or the car owner
The request of data of terminal sends corresponding abnormal image data, so that the server or car owner's terminal are confirming exception
After execute corresponding measure.By taking above-mentioned interior monitoring method, environment inside car can be monitored in real time, also improve information security
And the monitoring efficiency of environment inside car.
The aspects of the invention or other aspects can more straightforwards in the following description.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of application scenarios schematic diagram of interior monitoring method provided in an embodiment of the present invention；
Fig. 2 is a kind of flow diagram of interior monitoring method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram of interior monitoring device provided in an embodiment of the present invention；
Fig. 4 is the structural schematic diagram of another interior monitoring device provided in an embodiment of the present invention.
Specific implementation mode
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects
It encloses.
It is described in detail separately below.
Term " first ", " second ", " third " in description and claims of this specification and the attached drawing and "
Four " etc. be for distinguishing different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but further include the steps that optionally not listing or list
Member, or further include optionally for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
" multiple " refer to two or more."and/or" describes the incidence relation of affiliated partner, indicates may exist
Three kinds of relationships, for example, A and/or B, can indicate：Individualism A exists simultaneously A and B, these three situations of individualism B.Word
It is a kind of relationship of "or" that symbol "/", which typicallys represent forward-backward correlation object,.
Embodiments herein is described below in conjunction with the accompanying drawings.
Fig. 1 is referred to, Fig. 1 is a kind of application scenarios schematic diagram of interior monitoring method provided in an embodiment of the present invention.Such as
Shown in Fig. 1, which includes：Vehicle 10, the interior monitoring device 20 being mounted on vehicle 10, server 30 and car owner are whole
20 built-in controller of interior monitoring device of end 40., has analysis and computing function, can be carried out at analysis to the data got
Reason.Interior monitoring device 20 can be with image collection module (such as camera, image scanner or infrared detection sensor
Deng) mobile unit, can also be have (such as camera in car, image scanner are infrared with interior image acquisition hardware
Survey meter etc.) it carries out communication connection and controls car-mounted terminal, OBD, digital instrument etc. that image acquisition hardware obtains image data
Mobile unit.Interior monitoring device 20 can be logical by communication network or near radio with server 30 and car owner's terminal 40
Letter mode establishes communication connection.
The interior monitoring method of the embodiment of the present invention is applied to interior monitoring device 20. in embodiments of the present invention, interior
Monitoring device obtains the real time image data of vehicle interior, and carries out analyzing processing, the analysis result that will be obtained to image data
Judged, if judging to exist abnormal, abnormal results are sent to server 30 or car owner's terminal 40, while by abnormal shadow
As data be sent to server 30 either car owner's terminal 40. by only sending abnormal results and different to server or car owner's terminal
Normal image data improves monitoring efficiency on the one hand reduce the workload manually participated in, reduce it is artificial fail to judge or
The possibility of erroneous judgement；On the other hand the data volume for being transferred to network is reduced, greatly reduces the risk of information security events, has
The protection privacy of user of effect.
Fig. 2 is referred to, Fig. 2 is a kind of flow diagram of interior monitoring method provided in an embodiment of the present invention.Such as Fig. 2 institutes
Show, this method is applied to interior monitoring device, and this method comprises the following steps.
S201. the real time image data of vehicle interior is obtained.
Interior monitoring device can (such as camera in car, image scanner be red by built-in image collection module
Outer survey meter etc.) real time image data of vehicle interior is obtained, it can also control interior image after establishing and communicating to connect and obtain
Hardware (such as camera in car, image scanner or infrared detecting set) obtains the real time image data of vehicle interior.
S202. analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result.
After interior monitoring device gets the real time image data of vehicle interior, the controller of itself can be utilized to real-time
Image data carries out analyzing processing according to preset algorithm.Wherein, preset algorithm includes human Facial Image Recognition Algorithm, Smoke Detection algorithm.
Specifically, including to real time image data progress analyzing processing according to preset algorithm：The reality is identified using human Facial Image Recognition Algorithm
When image data in portrait quantity and portrait state, identify the smog in the real time image data using Smoke Detection algorithm
Generating state.For example, the portrait number in human Facial Image Recognition Algorithm analysis real time image data can be utilized, it is true according to portrait number
Determine portrait quantity, portrait facial characteristics is extracted in conjunction with the facial characteristics identification technology in human Facial Image Recognition Algorithm, according to facial characteristics
Analyze such as normal portrait state, drowsiness, stupor or vigorous exercise.Smoke Detection algorithm can be utilized by analyzing in image
The smog classification whether brightness contrast and lightness colors identification smog occur, occur, and the cigarette whether smog is occurred and occurred
Generating state analysis result of the mist classification as smog.Being analyzed the portrait data in image using human Facial Image Recognition Algorithm can
With with using Smoke Detection algorithm to the smog generating state in image carry out analysis be carried out at the same time, can also successively carry out.
This is not specifically limited.
S203. exception is judged whether according to the image analysing computer result.
Interior monitoring device further determines whether to deposit after analyzing real time image data and obtaining analysis result
In exception.
In a kind of possible embodiment, exception is judged whether according to the image analysing computer result, is specifically included：
Judged according to the smog generating state in the image analysing computer result interior with the presence or absence of smog, and if it exists, then judge that there are different
Often.For example, identifying that smog finds brightness pair by analyzing brightness contrast and lightness colors in image using Smoke Detection algorithm
Than apparent, when brightness contrast is apparent, and lightness colors be white and with flame off and on when, then it is assumed that car, which has, to be multiplied
Member is smoking or is consuming illegal drugs, and sucks interior smog generating state extremely cigarette/drugs occurring at this time；Work as brightness
Comparison is apparent, and lightness colors are apparent flame color and when with black, then it is assumed that car have occupant playing with fire or
Fire occurs.Interior smog generating state is denoted as to/fire generation of playing with fire at this time.When smog generating state is to occur, then
Judge interior in the presence of abnormal.
In alternatively possible embodiment, exception is judged whether according to the image analysing computer result, it is specific to wrap
It includes：The operating status for obtaining vehicle, judge portrait quantity in the image analysing computer result and/or portrait state whether with it is described
The operating status of vehicle matches, if mismatching, judges to exist abnormal.It, can be by obtaining vehicle in specific implementation process
The speed of service and retention time of running velocity obtain the operating status of vehicle.For example, when vehicle keeps current
Speed 60km/h has travelled 30min, then it is assumed that the operating status of vehicle is transport condition at this time；When vehicle present speed is
0 and the speed maintain 5min or more, then it is assumed that at this time the operating status of vehicle be dead ship condition.In the operation for getting vehicle
After state, in conjunction in image analysing computer result portrait quantity and/or portrait condition adjudgement whether match, if mismatch, judge
There are exceptions.For example, the operating status when vehicle is transport condition, if the portrait quantity in image analysing computer result is without departing from vehicle
Occupant's upper limit value, and when portrait state is normal condition, then it is assumed that portrait quantity and portrait state in image analysing computer result with
The operating status of the vehicle matches；If the portrait quantity in image analysing computer result exceeds vehicle occupant's upper limit value or portrait
When appearance stupor, vigorous exercise state in drowsiness or occupant is presented in the state of driver in state, then it is assumed that image analysing computer knot
Portrait quantity and/or portrait state and the operating status of vehicle in fruit mismatch.When the operating status of vehicle is dead ship condition
When, if there is no portrait data in image analysing computer result, then it is assumed that the portrait quantity and portrait state in image analysing computer result at this time
It is matched with the operating status of vehicle；As long as there is portrait in image analysing computer result, no matter whether portrait quantity exceeds vehicle at this time
Member's upper limit value is considered as image analysing computer at this time no matter also portrait state is normal, sleepy, stupor or vigorous exercise at this time
As a result portrait quantity and/or portrait state and the operating status of vehicle in mismatch.
In alternatively possible embodiment, exception is judged whether according to the image analysing computer result, it is specific to wrap
It includes：Judge that car whether there is smog according to the smog generating state in the image analysing computer result, obtains the operation shape of vehicle
State, judges whether the portrait quantity and/or portrait state in the image analysing computer result match with the operating status of the vehicle,
If the portrait quantity and/or portrait state and the operating status of vehicle there are smog, and in image analysing computer result mismatch, then sentence
It is disconnected to there is exception.It, can be by judging whether smog simultaneously and judging image analysing computer result in specific implementation process
In portrait quantity and/or portrait state whether matched with the operating status of vehicle to determine whether existing abnormal.Specifically sentence
Disconnected process is referred to above description.The two can be analyzed simultaneously, can also first post analysis, finally obtain one it is whether abnormal
Summarized results.It does not limit herein.
If S204. in the presence of to server or the transmission alarm of car owner's terminal of binding.
When interior monitoring device judges that car is deposited when abnormal, anomaly analysis result can be sent at this time server or
Car owner's terminal of person's binding.Alarm is sent to server or car owner's terminal of binding simultaneously, to prompt the corresponding clothes of server
Business platform or host vehicle are abnormal situation.
S205. corresponding abnormal image data are sent according to the request of data of the server or car owner's terminal,
So that the server or car owner's terminal execute corresponding measure after confirming exception.
After interior monitoring device sends alarm sounds to server or car owner's terminal, in order to make the corresponding service of server
Either car owner understands interior abnormal conditions and can continue to send corresponding exception to server or car owner's terminal platform in detail
Image data, so that service platform either takes corresponding measure and by server or car owner's terminal after car owner confirms exception
Corresponding control instruction is sent, loss caused by reduce exception.The corresponding abnormal image data include abnormal start to different
The image data for often eliminating the period, so as to the corresponding service platform of server or car owner understand in detail entire abnormal data and
Its processing procedure can also only include the data of certain time period after abnormal start, as long as the data can help service platform
Or car owner understands abnormal content and formulates corresponding measure.
In the present embodiment, interior monitoring device is by obtaining the real time image data of vehicle interior, later according to default
Algorithm carries out analyzing processing to the real time image data, obtains image analysing computer as a result, and sentencing according to the image analysing computer result
It is disconnected to whether there is exception, when it is present, then alarm is sent to server or car owner's terminal of binding, and according to the server
Either the request of data of car owner's terminal sends corresponding abnormal image data so that the server or the car owner are whole
End executes corresponding measure after confirming exception.Monitoring device end carries out in the car for the analysis of in-vehicle image data, only in root
Abnormal results are just sent to car owner's terminal of server or binding, on the one hand when judging to be abnormal according to analysis result
The workload manually participated in is reduced, monitoring efficiency is improved, reduces the artificial possibility failed to judge or judged by accident, on the other hand
The data volume for being transferred to network is greatly reduced, the risk of information security events is greatly reduced, is effectively protected user
Privacy.
Fig. 3 is referred to, Fig. 3 is a kind of structural schematic diagram of interior monitoring device provided in an embodiment of the present invention.Such as Fig. 3 institutes
Show, which includes：
Acquiring unit 301, the real time image data for obtaining vehicle interior.
Interior monitoring device can (such as camera in car, image scanner be infrared by built-in acquiring unit 301
Survey meter etc.) real time image data of vehicle interior is obtained, interior acquiring unit can also be controlled after establishing and communicating to connect
301 (such as camera in car, image scanner or infrared detecting sets) obtain the real time image data of vehicle interior.
Analytic unit 302 obtains image point for carrying out analyzing processing to the real time image data according to preset algorithm
Analyse result.
After acquiring unit 301 gets the real time image data of vehicle interior, analytic unit 302 can be utilized to real-time shadow
As data carry out analyzing processing according to preset algorithm.Wherein, preset algorithm includes human Facial Image Recognition Algorithm, Smoke Detection algorithm.Tool
Body, carrying out analyzing processing to real time image data according to preset algorithm includes：It is identified using human Facial Image Recognition Algorithm described real-time
Portrait quantity in image data and portrait state identify that the smog in the real time image data is sent out using Smoke Detection algorithm
Raw state.For example, the portrait number in human Facial Image Recognition Algorithm analysis real time image data can be utilized, determined according to portrait number
Portrait quantity extracts portrait facial characteristics, according to facial characteristics point in conjunction with the facial characteristics identification technology in human Facial Image Recognition Algorithm
Analyse such as normal portrait state, drowsiness, stupor or vigorous exercise.Smoke Detection algorithm can be utilized bright in image by analyzing
The smog classification whether degree comparison and lightness colors identification smog occur, occur, and the smog whether smog is occurred and occurred
Generating state analysis result of the classification as smog.Being analyzed the portrait data in image using human Facial Image Recognition Algorithm can be with
It is carried out at the same time, can also successively carry out with analysis is carried out to the smog generating state in image using Smoke Detection algorithm.Herein
It is not specifically limited.
Judging unit 303, for judging whether exception according to the image analysing computer result.
For analytic unit 302 after being analyzed real time image data and obtaining analysis result, judging unit 303 is further
Judge whether exception.
In a kind of possible embodiment, judging unit 303 judges whether different according to the image analysing computer result
Often, it specifically includes：Judging unit 303 judges interior with the presence or absence of cigarette according to the smog generating state in the image analysing computer result
Mist, and if it exists, judging unit 303 then judges to exist abnormal.For example, the brightness in using Smoke Detection algorithm by analysis image
Comparison and lightness colors identification smog find that brightness contrast is apparent, and when brightness contrast is apparent, and lightness colors are white and adjoint
Have flame off and on when, then it is assumed that car has occupant smoking or consuming illegal drugs, and shape is occurred for interior smog at this time
State extremely cigarette/drugs, which are sucked, to be occurred；When brightness contrast is apparent, and lightness colors are apparent flame color and are accompanied by
When black, then it is assumed that car has occupant playing with fire or occurring fire.Interior smog generating state is denoted as to/fire of playing with fire at this time
Calamity occurs.When smog generating state is to occur, judging unit 303 then judges interior in the presence of abnormal.
In alternatively possible embodiment, judging unit 303 is judged whether according to the image analysing computer result
It is abnormal, it specifically includes：After the operating status for obtaining vehicle by acquiring unit 301, judging unit 303 judges the image point
Whether portrait quantity and/or portrait state in analysis result match with the operating status of the vehicle, if mismatching, judging unit
303 judge there is exception.In specific implementation process, can by acquiring unit 301 obtain vehicle the speed of service and
The retention time of running velocity obtains the operating status of vehicle.For example, when vehicle has kept present speed 60km/h
30min is travelled, then it is assumed that the operating status of vehicle is transport condition at this time；When vehicle present speed is 0 and speed holding
5min or more, then it is assumed that the operating status of vehicle is dead ship condition at this time.The operation shape of vehicle is got in acquiring unit 301
After state, in conjunction in image analysing computer result portrait quantity and/or portrait condition adjudgement whether match, if mismatch, judging unit
303 judge there is exception.For example, the operating status when vehicle is transport condition, if the portrait quantity in image analysing computer result
Without departing from vehicle occupant's upper limit value, and when portrait state is normal condition, then judging unit 303 is thought in image analysing computer result
Portrait quantity and portrait state are matched with the operating status of the vehicle；If the portrait quantity in image analysing computer result exceeds vehicle
Either the state of driver presents and occurs stupor, vigorous exercise state in drowsiness or occupant occupant's upper limit value in portrait state
When, judging unit 303 does not then think portrait quantity in image analysing computer result and/or portrait state and the operating status of vehicle not
Match.When the operating status of vehicle is dead ship condition, if not having portrait data in image analysing computer result, judging unit 303 is recognized
For in image analysing computer result at this time portrait quantity and portrait state matched with the operating status of vehicle；As long as image analysing computer result
In there is portrait, though at this time portrait quantity whether exceed vehicle occupant's upper limit value, no matter also portrait state is normal, sleepy at this time
It sleeps, go into a coma or vigorous exercise, judging unit 303 are considered as the portrait quantity in image analysing computer result at this time and/or portrait shape
State and the operating status of vehicle mismatch.
In alternatively possible embodiment, judging unit 303 is judged whether according to the image analysing computer result
It is abnormal, it specifically includes：Judging unit 303 judges that car whether there is according to the smog generating state in the image analysing computer result
Smog, acquiring unit 301 obtain the operating status of vehicle, and judging unit 303 judges the portrait number in the image analysing computer result
Whether amount and/or portrait state match with the operating status of the vehicle, if there are smog, and the portrait in image analysing computer result
Quantity and/or portrait state and the operating status of vehicle mismatch, and judging unit 303 then judges to exist abnormal.Specific real
During applying, judging unit 303 can be by judging whether smog simultaneously and judging the portrait number in image analysing computer result
Whether amount and/or portrait state are matched with the operating status of vehicle to determine whether existing abnormal.Specific deterministic process can be with
With reference to above description.The two can be analyzed simultaneously, can also first post analysis, finally obtain one whether abnormal summarized results.
It does not limit herein.
Transmission unit 304, if being anomaly existed for the judgement of judging unit 303, to the car owner of server or binding end
End sends alarm.
When judging unit 303 judges that car is deposited when abnormal, transmission unit 304 can send anomaly analysis result at this time
To server or car owner's terminal of binding.Alarm is sent to server or car owner's terminal of binding simultaneously, to prompt to service
The corresponding service platform of device or host vehicle are abnormal situation.
Transmission unit 304 is additionally operable to be sent according to the request of data of the server or car owner's terminal corresponding different
Normal image data, so that the server or car owner's terminal execute corresponding measure after confirming exception.
After transmission unit 304 sends alarm sounds to server or car owner's terminal, in order to make the corresponding service of server
Either car owner understands interior abnormal conditions and can continue to send corresponding exception to server or car owner's terminal platform in detail
Image data, so that service platform either takes corresponding measure and by server or car owner's terminal after car owner confirms exception
Corresponding control instruction is sent, loss caused by reduce exception.The corresponding abnormal image data include abnormal start to different
The image data for often eliminating the period, so as to the corresponding service platform of server or car owner understand in detail entire abnormal data and
Its processing procedure can also only include the data of certain time period after abnormal start, as long as the data can help service platform
Or car owner understands abnormal content and formulates corresponding measure.
In the present embodiment, interior monitoring device is by obtaining the real time image data of vehicle interior, later according to default
Algorithm carries out analyzing processing to the real time image data, obtains image analysing computer as a result, and sentencing according to the image analysing computer result
It is disconnected to whether there is exception, when it is present, then alarm is sent to server or car owner's terminal of binding, and according to the server
Either the request of data of car owner's terminal sends corresponding abnormal image data so that the server or the car owner are whole
End executes corresponding measure after confirming exception.Monitoring device end carries out in the car for the analysis of in-vehicle image data, only in root
Abnormal results are just sent to car owner's terminal of server or binding, on the one hand when judging to be abnormal according to analysis result
The workload manually participated in is reduced, monitoring efficiency is improved, reduces the artificial possibility failed to judge or judged by accident, on the other hand
The data volume for being transferred to network is greatly reduced, the risk of information security events is greatly reduced, is effectively protected user
Privacy.
Fig. 4 is referred to, Fig. 4 is the structural schematic diagram of another interior monitoring device provided in an embodiment of the present invention.Such as Fig. 4
Shown, which includes：Processor 401, memory 402 and bus 403, wherein processor 401 and memory 402 can pass through
Bus or other modes are of coupled connections, and Fig. 4 by bus 403 for being connected.
Wherein, processor 401 can be Digital Signal Processing (English：Digital Signal Processing, DSP)
Chip.In the specific implementation, processor 401 may include：Management/communication module (administration module/
Communication module, AM/CM) center of speech channel exchange and information exchange (be used for), for completing call treatment, letter
Enable module, converting code rete and the submultiplex module of processing, wireless resource management, the management of Radio Link and circuit maintenance function
Modules such as (transcoder submultiplexer, TCSM) (for completing multiplexing and demultiplexing and code conversion function).Specific letter
Breath can refer to mobile communication relevant knowledge.
Memory 402 is used to store the shared program code of vehicle, in the specific implementation, memory 402 may be used it is read-only
Memory (English：Read-Only Memory, ROM) or random access memory (RAM) (English：Random Access Memory,
RAM), it can be used for storing the shared program code of vehicle.
Bus 403 can be industry standard architecture (English：Industry Standard Architecture,
ISA) bus, external equipment interconnection (English：Peripheral Component Interconnect, PCI) bus, extension mark
Quasi- architecture (English：Extended Industry Standard Architecture, EISA) bus, integrated circuit be total
Line (English：Inter Integrated Circuit, IIC) etc..
In the embodiment of the present invention, the processor calls the executable program code stored in the memory, holds
The following operation of row：
Obtain the real time image data of vehicle interior；
Analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result；
Exception is judged whether according to the image analysing computer result；
If in the presence of alarm is sent to server or car owner's terminal of binding；
Corresponding abnormal image data are sent according to the request of data of the server or car owner's terminal, so that institute
It states server or car owner's terminal executes corresponding measure after confirming exception.
Optionally, the preset algorithm includes human Facial Image Recognition Algorithm, Smoke Detection algorithm, is pressed described in the processor execution
Analyzing processing is carried out to the real time image data according to preset algorithm, concrete mode is：
The portrait quantity and portrait state in the real time image data are identified using human Facial Image Recognition Algorithm；
The smog generating state in the real time image data is identified using Smoke Detection algorithm.
Optionally, the processor execution is described judges whether exception according to the image analysing computer result, specific side
Formula is：
Judged according to the smog generating state in the image analysing computer result interior with the presence or absence of smog, and if it exists, then sentence
It is disconnected to there is exception.
Optionally, the processor execution is described judges whether exception according to the image analysing computer result, specific to wrap
It includes：
Obtain the operating status of vehicle；
Judge portrait quantity in the image analysing computer result and/or portrait state whether the operating status with the vehicle
Matching；
If mismatching, judge to exist abnormal.
Optionally, it includes that abnormal beginning eliminates the time to abnormal that the processor, which executes the corresponding abnormal image data,
The image data of section.
In the present embodiment, interior monitoring device is by obtaining the real time image data of vehicle interior, later according to default
Algorithm carries out analyzing processing to the real time image data, obtains image analysing computer as a result, and sentencing according to the image analysing computer result
It is disconnected to whether there is exception, when it is present, then alarm is sent to server or car owner's terminal of binding, and according to the server
Either the request of data of car owner's terminal sends corresponding abnormal image data so that the server or the car owner are whole
End executes corresponding measure after confirming exception.Monitoring device end carries out in the car for the analysis of in-vehicle image data, only in root
Abnormal results are just sent to car owner's terminal of server or binding, on the one hand when judging to be abnormal according to analysis result
The workload manually participated in is reduced, monitoring efficiency is improved, reduces the artificial possibility failed to judge or judged by accident, on the other hand
The data volume for being transferred to network is greatly reduced, the risk of information security events is greatly reduced, is effectively protected user
Privacy.
The embodiment of the present invention also provides a kind of computer storage media, wherein the computer storage media can be stored with journey
Sequence, the program include some or all of any type car monitoring method described in above method embodiment step when executing
Suddenly.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the described action sequence because
According to the present invention, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, technical scheme of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the present invention
Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is expounded, and the explanation of above example is only intended to facilitate the understanding of the method and its core concept of the invention；
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change place, to sum up above-mentioned, the content of the present specification should not be construed as limiting the invention.
Claims (10)
1. a kind of car monitoring method, which is characterized in that the method includes：
Obtain the real time image data of vehicle interior；
Analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result；
Exception is judged whether according to the image analysing computer result；
If in the presence of alarm is sent to server or car owner's terminal of binding；
Corresponding abnormal image data are sent according to the request of data of the server or car owner's terminal, so that the clothes
Business device or car owner's terminal execute corresponding measure after confirming exception.
2. car monitoring method according to claim 1, which is characterized in that the preset algorithm includes that Identification of Images is calculated
Method, Smoke Detection algorithm, it is described that analyzing processing is carried out to the real time image data according to preset algorithm, it specifically includes：
The portrait quantity and portrait state in the real time image data are identified using human Facial Image Recognition Algorithm；
The smog generating state in the real time image data is identified using Smoke Detection algorithm.
3. car monitoring method according to claim 2, which is characterized in that described to be judged according to the image analysing computer result
With the presence or absence of exception, specifically include：
Judged according to the smog generating state in the image analysing computer result interior with the presence or absence of smog, and if it exists, then judge to deposit
In exception.
4. car monitoring method according to claim 2 or 3, which is characterized in that described according to the image analysing computer result
It judges whether exception, specifically includes：
Obtain the operating status of vehicle；
Judge portrait quantity in the image analysing computer result and/or portrait state whether the operating status with the vehicle
Match；
If mismatching, judge to exist abnormal.
5. according to the method described in claim 1, it is characterized in that, the corresponding abnormal image data include abnormal start extremely
The abnormal image data for eliminating the period.
6. a kind of equipment, the equipment include：
It is stored with the memory of executable program code；
The processor coupled with the memory；
The processor calls the executable program code stored in the memory, executes following steps：
Obtain the real time image data of vehicle interior；
Analyzing processing is carried out to the real time image data according to preset algorithm, obtains image analysing computer result；
Exception is judged whether according to the image analysing computer result；
If in the presence of alarm is sent to server or car owner's terminal of binding；
Corresponding abnormal image data are sent according to the request of data of the server or car owner's terminal, so that the clothes
Business device or car owner's terminal execute corresponding measure after confirming exception.
7. equipment according to claim 6, which is characterized in that the preset algorithm includes human Facial Image Recognition Algorithm, smog inspection
Method of determining and calculating, the processor execution is described to carry out analyzing processing, concrete mode according to preset algorithm to the real time image data
For：
The portrait quantity and portrait state in the real time image data are identified using human Facial Image Recognition Algorithm；
The smog generating state in the real time image data is identified using Smoke Detection algorithm.
8. equipment according to claim 7, which is characterized in that the processor executes described according to the image analysing computer knot
Fruit judges whether that exception, concrete mode are：
Judged according to the smog generating state in the image analysing computer result interior with the presence or absence of smog, and if it exists, then judge to deposit
In exception.
9. equipment according to claim 7 or 8, which is characterized in that the processor executes described according to the image point
Analysis result judges whether that exception, concrete mode are：
Obtain the operating status of vehicle；
Judge portrait quantity in the image analysing computer result and/or portrait state whether the operating status with the vehicle
Match；
If mismatching, judge to exist abnormal.
10. equipment according to claim 6, which is characterized in that the processor executes the corresponding abnormal image number
Start to the abnormal image data for eliminating the period according to including abnormal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810090072.8A CN108449571A (en) | 2018-01-30 | 2018-01-30 | A kind of car monitoring method and equipment |
| PCT/CN2018/085879 WO2019148684A1 (en) | 2018-01-30 | 2018-05-07 | Vehicle interior monitoring method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810090072.8A CN108449571A (en) | 2018-01-30 | 2018-01-30 | A kind of car monitoring method and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108449571A true CN108449571A (en) | 2018-08-24 |
Family
ID=63191180
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810090072.8A Pending CN108449571A (en) | 2018-01-30 | 2018-01-30 | A kind of car monitoring method and equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108449571A (en) |
| WO (1) | WO2019148684A1 (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109515315A (en) * | 2018-09-14 | 2019-03-26 | 纵目科技（上海）股份有限公司 | Object identification method, system, terminal and storage medium in a kind of automatic driving vehicle |
| CN110001566A (en) * | 2019-03-25 | 2019-07-12 | 奇瑞汽车股份有限公司 | Interior life entity guard method, device and computer readable storage medium |
| CN113129475A (en) * | 2021-03-30 | 2021-07-16 | 广州小鹏汽车科技有限公司 | Monitoring method and device and vehicle |
| CN114328027A (en) * | 2021-12-31 | 2022-04-12 | 重庆电子工程职业学院 | Internet of vehicles safety control backup system |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113542047B (en) * | 2020-04-21 | 2023-04-07 | 北京沃东天骏信息技术有限公司 | Abnormal request detection method and device, electronic equipment and computer readable medium |
| CN115205952B (en) * | 2022-09-16 | 2022-11-25 | 深圳市企鹅网络科技有限公司 | Online learning image acquisition method and system based on deep learning |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101800772A (en) * | 2010-02-02 | 2010-08-11 | 大连海创高科信息技术有限公司 | 3G vehicle-mounted intelligent monitoring management system |
| CN202624069U (en) * | 2012-06-29 | 2012-12-26 | 北京兴科迪科技有限公司 | Automobile inner rear-view mirror with fatigue driving warning system |
| CN202650211U (en) * | 2012-03-20 | 2013-01-02 | 山东北斗空间定位设备销售服务有限公司 | Vehicle safety monitoring system based on Big Dipper satellite positioning, and 3G and 4G communication technologies |
| CN102930700A (en) * | 2012-10-25 | 2013-02-13 | 上海市城市建设设计研究总院 | Safety monitoring system in school bus |
| CN103379310A (en) * | 2012-04-26 | 2013-10-30 | 哈尔滨工业大学深圳研究生院 | Traffic accident medical treatment assistance system and method |
| CN104299355A (en) * | 2014-09-28 | 2015-01-21 | 厦门蓝斯通信股份有限公司 | Vehicle monitoring method and system based on video intelligent recognition |
| CN105427529A (en) * | 2015-12-04 | 2016-03-23 | 北京奇虎科技有限公司 | In-vehicle environment monitoring method and terminal |
| US20160127690A1 (en) * | 2014-11-05 | 2016-05-05 | Northrop Grumman Systems Corporation | Area monitoring system implementing a virtual environment |
| CN105657335A (en) * | 2014-11-14 | 2016-06-08 | 江苏省兴泽实业发展有限公司 | School bus safety supervision system and application method |
| CN105933427A (en) * | 2016-05-24 | 2016-09-07 | 张力 | Automobile safety early warning method based on automotive intelligent interaction system |
| CN106059868A (en) * | 2016-07-24 | 2016-10-26 | 哈尔滨理工大学 | Home intelligent video monitoring protection system |
| CN106274799A (en) * | 2016-08-25 | 2017-01-04 | 乐视控股（北京）有限公司 | A kind of car alarm system and automobile |
| CN106335432A (en) * | 2016-08-29 | 2017-01-18 | 赵谕 | Smart rearview mirror with driving assistant system, control system and processing method |
| CN106364442A (en) * | 2016-11-29 | 2017-02-01 | 李森 | Warning device and method for detecting persons left in vehicle |
| CN107472124A (en) * | 2017-07-01 | 2017-12-15 | 湖南海翼电子商务股份有限公司 | The method for early warning and its onboard system of in-car living environment |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101192314A (en) * | 2006-11-24 | 2008-06-04 | 苏立军 | Wireless automobile anti-theft method and device with remote place control function |
| CN102658804A (en) * | 2012-04-09 | 2012-09-12 | 上海齐汇通讯技术有限公司 | Vehicle-carried intelligent terminal system and realization method thereof |
| CN203410366U (en) * | 2013-08-16 | 2014-01-29 | 长安大学 | Passenger vehicle security monitoring and control device |
| CN106228750A (en) * | 2016-09-20 | 2016-12-14 | 李国远 | Abnormal conditions alarm method, Apparatus and system after car locking |
| CN107341438A (en) * | 2017-01-24 | 2017-11-10 | 问众智能信息科技（北京）有限公司 | The method and apparatus of in-car safety monitoring based on computer vision |
-
2018
- 2018-01-30 CN CN201810090072.8A patent/CN108449571A/en active Pending
- 2018-05-07 WO PCT/CN2018/085879 patent/WO2019148684A1/en active Application Filing
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101800772A (en) * | 2010-02-02 | 2010-08-11 | 大连海创高科信息技术有限公司 | 3G vehicle-mounted intelligent monitoring management system |
| CN202650211U (en) * | 2012-03-20 | 2013-01-02 | 山东北斗空间定位设备销售服务有限公司 | Vehicle safety monitoring system based on Big Dipper satellite positioning, and 3G and 4G communication technologies |
| CN103379310A (en) * | 2012-04-26 | 2013-10-30 | 哈尔滨工业大学深圳研究生院 | Traffic accident medical treatment assistance system and method |
| CN202624069U (en) * | 2012-06-29 | 2012-12-26 | 北京兴科迪科技有限公司 | Automobile inner rear-view mirror with fatigue driving warning system |
| CN102930700A (en) * | 2012-10-25 | 2013-02-13 | 上海市城市建设设计研究总院 | Safety monitoring system in school bus |
| CN104299355A (en) * | 2014-09-28 | 2015-01-21 | 厦门蓝斯通信股份有限公司 | Vehicle monitoring method and system based on video intelligent recognition |
| US20160127690A1 (en) * | 2014-11-05 | 2016-05-05 | Northrop Grumman Systems Corporation | Area monitoring system implementing a virtual environment |
| CN105657335A (en) * | 2014-11-14 | 2016-06-08 | 江苏省兴泽实业发展有限公司 | School bus safety supervision system and application method |
| CN105427529A (en) * | 2015-12-04 | 2016-03-23 | 北京奇虎科技有限公司 | In-vehicle environment monitoring method and terminal |
| CN105933427A (en) * | 2016-05-24 | 2016-09-07 | 张力 | Automobile safety early warning method based on automotive intelligent interaction system |
| CN106059868A (en) * | 2016-07-24 | 2016-10-26 | 哈尔滨理工大学 | Home intelligent video monitoring protection system |
| CN106274799A (en) * | 2016-08-25 | 2017-01-04 | 乐视控股（北京）有限公司 | A kind of car alarm system and automobile |
| CN106335432A (en) * | 2016-08-29 | 2017-01-18 | 赵谕 | Smart rearview mirror with driving assistant system, control system and processing method |
| CN106364442A (en) * | 2016-11-29 | 2017-02-01 | 李森 | Warning device and method for detecting persons left in vehicle |
| CN107472124A (en) * | 2017-07-01 | 2017-12-15 | 湖南海翼电子商务股份有限公司 | The method for early warning and its onboard system of in-car living environment |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109515315A (en) * | 2018-09-14 | 2019-03-26 | 纵目科技（上海）股份有限公司 | Object identification method, system, terminal and storage medium in a kind of automatic driving vehicle |
| CN110001566A (en) * | 2019-03-25 | 2019-07-12 | 奇瑞汽车股份有限公司 | Interior life entity guard method, device and computer readable storage medium |
| CN113129475A (en) * | 2021-03-30 | 2021-07-16 | 广州小鹏汽车科技有限公司 | Monitoring method and device and vehicle |
| CN114328027A (en) * | 2021-12-31 | 2022-04-12 | 重庆电子工程职业学院 | Internet of vehicles safety control backup system |
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| Publication number | Publication date |
|---|---|
| WO2019148684A1 (en) | 2019-08-08 |
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