CN109532665B - Anti-suffocation system for vehicle and method thereof - Google Patents
Anti-suffocation system for vehicle and method thereof Download PDFInfo
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- CN109532665B CN109532665B CN201811512990.1A CN201811512990A CN109532665B CN 109532665 B CN109532665 B CN 109532665B CN 201811512990 A CN201811512990 A CN 201811512990A CN 109532665 B CN109532665 B CN 109532665B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/71—Power-operated mechanisms for wings with automatic actuation responsive to temperature changes, rain, wind or noise
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/72—Power-operated mechanisms for wings with automatic actuation responsive to emergency conditions, e.g. fire
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
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Abstract
The invention discloses an anti-suffocation system for a vehicle and a method thereof. When the automobile owner leaves the automobile alone with the minor in the automobile, the camera in the automobile can shoot images in the automobile and judge the years of the minor in the automobile by using an image processing technology, when the minor is judged to be left in the automobile alone, an early warning signal can be sent to the automobile owner, and when the automobile owner fails to get back to the automobile in time, the corresponding part in the automobile is controlled to make a corresponding processing measure to prevent the minor from causing unfortunate occurrence due to insufficient oxygen or high temperature in the automobile and the like.
Description
Technical Field
The invention relates to a vehicle anti-suffocation system and a method thereof.
Background
Nowadays, the related art in the automotive field is becoming mature. However, the related protection for the minor left in the car is little and little, and the minor often hears the unfortunate news reports when the minor is left in the car by parents, and the like. Of course, this is greatly related to the carelessness of parents, but today, the car technology is developed and the technology is developed quickly, there is still no good solution for reminding and automatic protection of minors left in cars, so tragedies occur frequently, and the potential safety hazard should be addressed.
Although related anti-suffocation control systems are continuously proposed, many of the anti-suffocation control systems adopt technical means such as ultrasonic waves or infrared rays, the infrared technology is easily blocked by other objects in a vehicle, and the like, and when the ultrasonic waves detect that organisms exist in the vehicle, the age interval and the like cannot be judged, so that the anti-suffocation system is started when the anti-suffocation system is not required to be started, and more resources are wasted.
The control system of the prior patent CN106143378A adopts the ultrasonic probe and the camera to cooperate for detection, the system is relatively complex, and the alarm device adopts flashing automobile lamp banks and an external loudspeaker of an automobile, although the system has an auxiliary anti-theft function, after the attention of others is aroused, people who can save trapped people can not be distinguished, and the automatic door switch mechanism in the system is easily used by people who cannot pursue the trails, thereby obviously increasing the risk of minors. Although there are functions such as real-time recording, there is a risk that the recording may be mishandled.
Although the control method of the prior patent CN107600019A has a simple structure, it does not have a step of determining whether a person is left in the vehicle, and obviously, if the vehicle owner stops normally, the corresponding operation will increase the system load and will affect the normal life of the vehicle owner. In addition, the alarm mode described in the control method also adopts light and sound alarm, which is easy to attract the attention of passers, but can be used by people who are conscientious. Its corresponding automatic lifting device of door window does not set up corresponding lift size, and the door window increases the risk degree if descend too much equally easily.
Disclosure of Invention
The invention aims to provide an anti-suffocation system for a vehicle and a method thereof.
The technical scheme adopted by the invention is as follows:
an anti-suffocation system for a vehicle comprises a main control assembly, an image processing module, an environment detection module, a communication module and a mechanical regulation and control module, wherein the image processing module, the environment detection module, the communication module and the mechanical regulation and control module are connected with the main control assembly, the main control assembly comprises an in-vehicle controller and a storage battery, the storage battery supplies power to a main hole assembly, the image processing module comprises a camera and an image processor, the camera is installed in the vehicle and captures images in the vehicle, the camera is connected with the image processor, the image processor is connected with the in-vehicle controller, the environment detection module detects oxygen content and temperature data in the vehicle, the communication module is bound with an intelligent terminal of a vehicle owner, the intelligent terminal of the vehicle owner is preset with an application program matched with the communication module, the communication module is used for remote communication and remote warning with the vehicle owner when a warning condition occurs, the mechanical regulation and control module comprises a vehicle window lifting module and a vehicle fan, the vehicle window lifting module controls opening and closing of a vehicle door window, the vehicle-mounted fan is used for air exchange between the inside and the outside of the vehicle.
Further, the environment detection module comprises an oxygen concentration sensor and a temperature sensor which are arranged in the vehicle, and the oxygen concentration sensor and the temperature sensor are respectively connected with the controller in the vehicle.
Furthermore, the image processor is preset with a face feature database for training face pictures of all ages through a deep learning network to obtain the face feature databases for different ages, the image processor analyzes and identifies the ages of the people of the in-vehicle images shot by the cameras based on the face feature databases for different ages, and sends the analysis results to the in-vehicle controller, and the in-vehicle controller carries out system control on the detection data based on the age analysis results and the environment detection module.
Furthermore, the communication module comprises a remote communication module and a remote warning module, the remote communication module is used for being bound with the intelligent terminal of the vehicle owner and establishing data communication connection, the remote warning module is used for sending warning information to the application program of the intelligent terminal of the vehicle owner, and the application program enables the intelligent terminal of the vehicle owner to shake strongly and plays preset warning tones in advance at the highest volume based on the warning information.
Further, the intelligent terminal is a smart phone or a smart bracelet.
The anti-suffocation method for the vehicle adopts the anti-suffocation system for the vehicle, and comprises the following steps:
step 1, when the vehicle is flamed out, the anti-suffocation system starts to work and completes initialization,
step 2, reading the images shot by the camera in the vehicle, automatically analyzing the images,
and 3, after five minutes of flameout, the image processor starts to judge whether people exist in the automobile based on the image in the automobile: if yes, executing step 4; otherwise, ending;
step 4, the image processor judges the age of the person in the vehicle and sends the analysis result to the vehicle controller,
and 5, processing by the in-vehicle controller based on the analysis result:
when all people in the vehicle are immature, the controller in the vehicle controls the environment detection module to work, and simultaneously drives the remote communication module to send a prompt to the intelligent terminal of the vehicle owner to inform that the immature people are left in the vehicle;
when the people in the vehicle are not all immature, the work is finished;
step 6, the application program of the intelligent terminal receives the information and gives processing options of temporary leaving and immediate processing; meanwhile, the remote warning module enables the intelligent terminal of the vehicle owner to vibrate and play preset warning tones so as to attract the attention of the vehicle owner.
And 7, selecting a corresponding processing option by the vehicle owner and sending the processing option to the in-vehicle controller, wherein the in-vehicle controller processes based on the processing option selected by the vehicle owner:
when the vehicle owner selects to leave temporarily, the in-vehicle controller closes the remote warning module, sends the environmental data detected by the environmental detection module to the vehicle owner in real time through the remote communication module, and executes the step 4 after waiting thirty minutes;
when the owner selects to process immediately, the in-vehicle controller closes the remote communication module and the remote warning module, and executes the step 8 after waiting twenty minutes;
step 8, analyzing whether the people in the vehicle are all immature again through the image processor;
and 9, processing by the in-vehicle controller based on the reanalysis result:
when all people in the vehicle are immature, the remote communication module and the remote warning module are restarted to send a prompt to inform that the juvenile is left in the vehicle, the remote warning module is driven to enable the intelligent terminal of the vehicle owner to vibrate and play a preset prompt tone, and the step 8 is executed;
when the people in the vehicle are not all immature, the controller in the vehicle closes the strong shock and the prompt tone of the intelligent terminal of the vehicle owner by driving the remote warning module, and the work is finished.
Further, the specific method for judging the age of the vehicle occupant by the image processor in the step 4 is that the image processor analyzes and detects image data shot by the camera and face feature databases for different ages, and the face feature databases for different ages train face pictures of all ages through a deep learning network.
Further, the method for acquiring the face feature databases of different age groups comprises the following steps:
s1, selecting pictures of the MORPH and FG-NET face recognition databases and pictures without faces as positive correlation picture data and negative correlation picture data respectively;
s2, inputting the positive correlation picture data and the negative correlation picture data into the VGG neural network;
s3, using the positive correlation picture data and the negative correlation picture data as the training database of the obtained groups according to the age groups;
and S4, training the grouping-based training database by adopting a deep learning network to obtain corresponding face feature databases aiming at different age groups.
Further, the step 6 process warning module enables the intelligent terminal of the vehicle owner to vibrate at the highest intensity and play preset warning tones at the highest volume.
Further, the step 7 also comprises an environment detection processing step, and when the oxygen concentration is detected to be lower than 20%, the vehicle window lifting module controls the vehicle windows to descend by 2 centimeters in a unified mode; when the temperature detection sensor detects that the temperature in the vehicle is higher than 35 ℃, the vehicle-mounted small fan is controlled to be started, and the vehicle window is lowered by 2 centimeters, so that tragedy can be reduced.
By adopting the technical scheme, the invention applies the image processing technology to the field of automobile anti-stifling of minors, can analyze the shot contents, correspondingly identify the shot number and the age range of the minors, combine the shot number and the age range with the internet of things technology, remind the owner of the automobile in time, judge whether the owner really forgets to process the corresponding treatment, and when the owner of the automobile fails to process the dangerous case in time, not only can make the corresponding treatment measures, but also can feed back the situation in the automobile to the owner of the automobile in real time, thereby not only ensuring the safety of the minors in the automobile, but also leading the owner of the automobile to know the environment of the minors in the automobile in real time, and leading the owner of the automobile to have a sense of urgency and to process the things to return to the automobile as soon as possible. When the automobile owner leaves the automobile alone with the minor in the automobile, the camera in the automobile can shoot images in the automobile and judge the years of the minor in the automobile by using an image processing technology, when the minor is judged to be left in the automobile alone, an early warning signal can be sent to the automobile owner, and when the automobile owner fails to get back to the automobile in time, the corresponding part in the automobile is controlled to make a corresponding processing measure to prevent the minor from causing unfortunate occurrence due to insufficient oxygen or high temperature in the automobile and the like.
Drawings
The invention is described in further detail below with reference to the accompanying drawings and the detailed description;
FIG. 1 is a schematic view of a vehicle anti-asphyxia system according to the present invention;
FIG. 2 is a schematic flow chart of a method for preventing asphyxia in a vehicle according to the present invention;
FIG. 3 is a schematic view of the operation of the in-vehicle environment detection module according to the present invention;
fig. 4 is a schematic view of a working flow of a communication module of the anti-asphyxia system for a vehicle according to the present invention.
Detailed Description
As shown in one of figures 1-4, the invention discloses a vehicle anti-suffocation system, which comprises a main control assembly, an image processing module, an environment detection module, a communication module and a mechanical regulation and control module, wherein the image processing module, the environment detection module, the communication module and the mechanical regulation and control module are connected with the main control assembly, the main control assembly comprises an in-vehicle controller and a storage battery, the storage battery supplies power to a main hole assembly, the image processing module comprises a camera and an image processor, the camera is installed in a vehicle and captures images in the vehicle, the camera is connected with the image processor, the image processor is connected with the in-vehicle controller, the environment detection module detects oxygen content and temperature data in the vehicle, the communication module is bound with an intelligent terminal of the vehicle owner, the intelligent terminal of the vehicle owner is preset with an application program matched with the communication module, the communication module is used for remote communication with the vehicle owner and remote warning when warning occurs, the mechanical regulation and control module comprises a vehicle window lifting module and a vehicle-mounted fan, the window lifting module controls the opening and closing of the vehicle door and window, and the vehicle-mounted fan is used for exchanging air inside and outside the vehicle.
Further, the environment detection module comprises an oxygen concentration sensor and a temperature sensor which are arranged in the vehicle, and the oxygen concentration sensor and the temperature sensor are respectively connected with the controller in the vehicle.
Furthermore, the image processor is preset with a face feature database for training face pictures of all ages through a deep learning network to obtain the face feature databases for different ages, the image processor analyzes and identifies the ages of the people of the in-vehicle images shot by the cameras based on the face feature databases for different ages, and sends the analysis results to the in-vehicle controller, and the in-vehicle controller carries out system control on the detection data based on the age analysis results and the environment detection module.
Furthermore, the communication module comprises a remote communication module and a remote warning module, the remote communication module is used for being bound with the intelligent terminal of the vehicle owner and establishing data communication connection, the remote warning module is used for sending warning information to the application program of the intelligent terminal of the vehicle owner, and the application program enables the intelligent terminal of the vehicle owner to shake strongly and plays preset warning tones in advance at the highest volume based on the warning information.
Further, the intelligent terminal is a smart phone or a smart bracelet.
The anti-suffocation method for the vehicle adopts the anti-suffocation system for the vehicle, and comprises the following steps:
step 1, when the vehicle is flamed out, the anti-suffocation system starts to work and completes initialization,
step 2, reading the images shot by the camera in the vehicle, automatically analyzing the images,
and 3, after five minutes of flameout, the image processor starts to judge whether people exist in the automobile based on the image in the automobile: if yes, executing step 4; otherwise, ending;
step 4, the image processor judges the age of the person in the vehicle and sends the analysis result to the vehicle controller,
and 5, processing by the in-vehicle controller based on the analysis result:
when all people in the vehicle are immature, the controller in the vehicle controls the environment detection module to work, and simultaneously drives the remote communication module to send a prompt to the intelligent terminal of the vehicle owner to inform that the immature people are left in the vehicle;
when the people in the vehicle are not all immature, the work is finished;
step 6, the application program of the intelligent terminal receives the information and gives processing options of temporary leaving and immediate processing; meanwhile, the remote warning module enables the intelligent terminal of the vehicle owner to vibrate and play preset warning tones so as to attract the attention of the vehicle owner.
And 7, selecting a corresponding processing option by the vehicle owner and sending the processing option to the in-vehicle controller, wherein the in-vehicle controller processes based on the processing option selected by the vehicle owner:
when the vehicle owner selects to leave temporarily, the in-vehicle controller closes the remote warning module, sends the environmental data detected by the environmental detection module to the vehicle owner in real time through the remote communication module, and executes the step 4 after waiting thirty minutes;
specifically, as shown in fig. 3 or 4, when the owner selects that the dangerous case cannot be handled immediately, the image processing module analyzes the situation in the vehicle once every thirty minutes, and if the dangerous case is not released, the remote warning is started again to prompt the owner that the dangerous case is not released until the dangerous case solving system stops operating; when the owner selects that the dangerous case can be processed immediately, the communication module is turned off for twenty minutes, if the dangerous case is not released, the communication module is turned on again until the dangerous case is released, and the system stops running.
When the owner selects to process immediately, the in-vehicle controller closes the remote communication module and the remote warning module, and executes the step 8 after waiting twenty minutes;
step 8, analyzing whether the people in the vehicle are all immature again through the image processor;
and 9, processing by the in-vehicle controller based on the reanalysis result:
when all people in the vehicle are immature, the remote communication module and the remote warning module are restarted to send a prompt to inform that the juvenile is left in the vehicle, the remote warning module is driven to enable the intelligent terminal of the vehicle owner to vibrate and play a preset prompt tone, and the step 8 is executed;
when the people in the vehicle are not all immature, the controller in the vehicle closes the strong shock and the prompt tone of the intelligent terminal of the vehicle owner by driving the remote warning module, and the work is finished.
Further, the specific method for judging the age of the vehicle occupant by the image processor in the step 4 is that the image processor analyzes and detects image data shot by the camera and face feature databases for different ages, and the face feature databases for different ages train face pictures of all ages through a deep learning network.
Further, the method for acquiring the face feature databases of different age groups comprises the following steps:
s1, selecting pictures of the MORPH and FG-NET face recognition databases and pictures without faces as positive correlation picture data and negative correlation picture data respectively;
s2, inputting the positive correlation picture data and the negative correlation picture data into the VGG neural network;
s3, using the positive correlation picture data and the negative correlation picture data as the training database of the obtained groups according to the age groups;
and S4, training the grouping-based training database by adopting a deep learning network to obtain corresponding face feature databases aiming at different age groups.
Further, the step 6 process warning module enables the intelligent terminal of the vehicle owner to vibrate at the highest intensity and play preset warning tones at the highest volume.
Further, the step 7 also comprises an environment detection processing step, and when the oxygen concentration is detected to be lower than 20%, the vehicle window lifting module controls the vehicle windows to descend by 2 centimeters in a unified mode; when the temperature detection sensor detects that the temperature in the vehicle is higher than 35 ℃, the vehicle-mounted small fan is controlled to be started, and the vehicle window is lowered by 2 centimeters, so that tragedy can be reduced.
Specifically, the working principle of the invention is as follows: when the vehicle is flamed out, the system starts to work, the image processing module starts to read image data shot by the camera arranged in the vehicle, the image data are automatically analyzed, whether people still exist in the vehicle after five minutes of flameout is judged, and if people exist, the age of the people is analyzed. The image processing module sends an analysis result to the in-vehicle control module, when the analysis result indicates that minors exist (the age range of the minors is set below 18 years old) and the in-vehicle control module is in the vehicle independently, the oxygen concentration and temperature detection sensor starts to work, and meanwhile, the control module drives the remote communication module to send a prompt to the vehicle owner to inform that the minors exist in the vehicle and give the vehicle owner two options: first, leave temporarily; second, immediate processing. The remote warning module enables the mobile phone of the vehicle owner to shake strongly and plays a preset warning sound with the highest volume in advance, so as to attract the attention of the vehicle owner. When the vehicle owner selects to leave temporarily, the remote warning module is closed, the control module sends the oxygen concentration and the temperature obtained by the detection device to the vehicle owner in real time through the remote communication module, and the situation of minors in the vehicle is analyzed again every thirty minutes, if the dangerous situation is not relieved, the remote warning module is driven again to remind the vehicle owner until the dangerous situation is relieved; if the owner selects immediate processing, the control module temporarily closes the remote communication module and the remote warning module, and if the analysis result of the image processing module is that the minors are alone in the automobile after twenty minutes, the communication module is restarted, and the prompt tone of the mobile phone of the owner is not closed until the dangerous case is relieved. When the oxygen concentration is detected to be lower than 20%, the vehicle window lifting module controls the vehicle window to descend by 2 cm in a unified mode, and when the temperature detection sensor detects that the temperature in the vehicle is higher than 35 ℃, the vehicle-mounted small fan is controlled to be started and the vehicle window is descended by 2 cm, so that tragedy can be reduced.
By adopting the technical scheme, the invention applies the image processing technology to the field of automobile anti-stifling of minors, can analyze the shot contents, correspondingly identify the shot number and the age range of the minors, combine the shot number and the age range with the internet of things technology, remind the owner of the automobile in time, judge whether the owner really forgets to process the corresponding treatment, and when the owner of the automobile fails to process the dangerous case in time, not only can make the corresponding treatment measures, but also can feed back the situation in the automobile to the owner of the automobile in real time, thereby not only ensuring the safety of the minors in the automobile, but also leading the owner of the automobile to know the environment of the minors in the automobile in real time, and leading the owner of the automobile to have a sense of urgency and to process the things to return to the automobile as soon as possible. When the automobile owner leaves the automobile alone with the minor in the automobile, the camera in the automobile can shoot images in the automobile and judge the years of the minor in the automobile by using an image processing technology, when the minor is judged to be left in the automobile alone, an early warning signal can be sent to the automobile owner, and when the automobile owner fails to get back to the automobile in time, the corresponding part in the automobile is controlled to make a corresponding processing measure to prevent the minor from causing unfortunate occurrence due to insufficient oxygen or high temperature in the automobile and the like.
The image processing technology adopted by the invention can well judge the condition in the vehicle and can store the shot content to the local, so that the in-vehicle environment detection module and the dangerous case handling module in the system can be enabled more appropriately, the waste of resources can be reduced to a great extent, the Internet of things technology is adopted to communicate with the vehicle owner, the reason why the minor stays in the vehicle independently is judged, and data is sent in real time, so that the vehicle owner can be reminded in a more appropriate manner until the dangerous case is relieved. Compared with other prior art, the method for continuously communicating with the vehicle owner until the dangerous case is relieved is safer to warn surrounding people by adopting vehicle lights and the like and unlock the vehicle door when the minors are left in the vehicle, and because the system cannot judge what people are helping to treat the dangerous case in the future, the system possibly reminds surrounding passers of accelerating the dangerous case instead, so that the minor turns away and the like are more dangerous.
Claims (9)
1. An automobile anti-suffocation method comprises a main control assembly, an image processing module, an environment detection module, a communication module and a mechanical regulation and control module, wherein the image processing module, the environment detection module, the communication module and the mechanical regulation and control module are connected with the main control assembly, the main control assembly comprises an automobile interior controller and a storage battery, the storage battery supplies power to the main control assembly, the image processing module comprises a camera and an image processor, the camera is installed in an automobile and used for shooting images in the automobile, the camera is connected with the image processor, the image processor is connected with the automobile interior controller, the environment detection module is used for detecting oxygen content and temperature data in the automobile, the communication module is bound with an intelligent terminal of an automobile owner, the intelligent terminal of the automobile owner is preset with an application program matched with the communication module, the communication module is used for remote communication and remote warning with the automobile owner when warning occurs, the mechanical regulation and control module comprises a vehicle window lifting module and a vehicle fan, the vehicle window lifting module is used for controlling opening and closing of a vehicle door window, the vehicle-mounted fan is used for exchanging air inside and outside the vehicle; the method is characterized in that: the anti-asphyxia method comprises the following steps:
step 1, when the vehicle is flamed out, the anti-suffocation system starts to work and completes initialization,
step 2, reading the images shot by the camera in the vehicle, automatically analyzing the images,
and 3, after five minutes of flameout, the image processor starts to judge whether people exist in the automobile based on the image in the automobile: if yes, executing step 4; otherwise, ending;
step 4, the image processor judges the age of the person in the vehicle and sends the analysis result to the vehicle controller,
and 5, processing by the in-vehicle controller based on the analysis result:
when all people in the vehicle are immature, the controller in the vehicle controls the environment detection module to work, and simultaneously drives the remote communication module to send a prompt to the intelligent terminal of the vehicle owner to inform that the immature people are left in the vehicle;
when the people in the vehicle are not all immature, the work is finished;
step 6, the application program of the intelligent terminal receives the information and gives processing options of temporary leaving and immediate processing; meanwhile, the remote warning module enables the intelligent terminal of the vehicle owner to vibrate and play preset warning tones;
and 7, selecting a corresponding processing option by the vehicle owner and sending the processing option to the in-vehicle controller, wherein the in-vehicle controller processes based on the processing option selected by the vehicle owner:
when the vehicle owner selects to leave temporarily, the in-vehicle controller closes the remote warning module, sends the environmental data detected by the environmental detection module to the vehicle owner in real time through the remote communication module, and executes the step 4 after waiting thirty minutes;
when the owner selects to process immediately, the in-vehicle controller closes the remote communication module and the remote warning module, and executes the step 8 after waiting twenty minutes;
step 8, analyzing whether the people in the vehicle are all immature again through the image processor;
and 9, processing by the in-vehicle controller based on the reanalysis result:
when all people in the vehicle are immature, the remote communication module and the remote warning module are restarted to send a prompt to inform that the juvenile is left in the vehicle, the remote warning module is driven to enable the intelligent terminal of the vehicle owner to vibrate and play a preset prompt tone, and the step 8 is executed;
when the people in the vehicle are not all immature, the controller in the vehicle closes the strong shock and the prompt tone of the intelligent terminal of the vehicle owner by driving the remote warning module, and the work is finished.
2. An anti-asphyxia method for a vehicle according to claim 1, wherein: the environment detection module comprises an oxygen concentration sensor and a temperature sensor which are arranged in the vehicle, and the oxygen concentration sensor and the temperature sensor are respectively connected with a controller in the vehicle.
3. An anti-asphyxia method for a vehicle according to claim 1, wherein: the image processor is preset with a face feature database for training face pictures of all ages through a deep learning network to obtain the face feature databases for different ages, the image processor analyzes and identifies the ages of people of in-vehicle images shot by the cameras based on the face feature databases for different ages, and sends the analysis results to the in-vehicle controller, and the in-vehicle controller performs system control based on the age analysis results and detection data of the environment detection module.
4. An anti-asphyxia method for a vehicle according to claim 1, wherein: the communication module comprises a remote communication module and a remote warning module, the remote communication module is used for being bound with the intelligent terminal of the vehicle owner and establishing data communication connection, the remote warning module is used for sending warning information to the application program of the intelligent terminal of the vehicle owner, and the application program enables the intelligent terminal of the vehicle owner to shake strongly and plays preset warning tones in advance with the highest volume based on the warning information.
5. An anti-asphyxia method for a vehicle according to claim 1, wherein: the intelligent terminal is a smart phone or a smart bracelet.
6. An anti-asphyxia method for a vehicle according to claim 1, wherein: and 4, analyzing and detecting image data shot by the camera and the face feature databases aiming at different ages by the image processor, and training face pictures of all ages by the face feature databases aiming at different ages through a deep learning network to obtain the specific method for judging the ages of the people in the vehicle by the image processor.
7. An anti-asphyxia method for a vehicle according to claim 6, wherein: the method for acquiring the face feature databases of different age groups comprises the following steps:
s1, selecting pictures of the MORPH and FG-NET face recognition databases and pictures without faces as positive correlation picture data and negative correlation picture data respectively;
s2, inputting the positive correlation picture data and the negative correlation picture data into the VGG neural network;
s3, using the positive correlation picture data and the negative correlation picture data as the training database of the obtained groups according to the age groups;
and S4, training the grouping-based training database by adopting a deep learning network to obtain corresponding face feature databases aiming at different age groups.
8. An anti-asphyxia method for a vehicle according to claim 6, wherein: and 6, enabling the intelligent terminal of the vehicle owner to vibrate at the highest intensity and play a preset prompt tone at the highest volume by the aid of the process warning module.
9. An anti-asphyxia method for a vehicle according to claim 6, wherein: step 7, an environment detection processing step is also included, and when the oxygen concentration is detected to be lower than 20%, the vehicle window lifting module controls the vehicle windows to descend by 2 centimeters in a unified mode; and when the temperature detection sensor detects that the temperature in the vehicle is higher than 35 ℃, the vehicle-mounted small fan is controlled to be started and the vehicle window is lowered by 2 centimeters.
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|---|---|---|---|---|
| CN110053578A (en) * | 2019-04-17 | 2019-07-26 | 宝能汽车有限公司 | Interior life security response method and device |
| CN113780039A (en) * | 2020-06-10 | 2021-12-10 | 上海汽车集团股份有限公司 | Intelligent vehicle window control method and device, electronic equipment and storage medium |
| CN112829705A (en) * | 2021-01-22 | 2021-05-25 | 的卢技术有限公司 | Vehicle control management method based on characteristics of left-over personnel in vehicle |
| CN116016754A (en) * | 2022-12-16 | 2023-04-25 | 宜宾凯翼汽车有限公司 | Remote rescue system and method for preventing car organism from choking |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9000907B1 (en) * | 2014-09-23 | 2015-04-07 | Paul F. Rembach | Safety system for alerting an operator of a parked vehicle that an occupant is still present in the parked vehicle |
| CN105109402A (en) * | 2015-09-30 | 2015-12-02 | 宇龙计算机通信科技(深圳)有限公司 | Automobile alarming device and method |
| CN105329201A (en) * | 2015-11-13 | 2016-02-17 | 惠州住成电装有限公司 | Automobile closed environment comprehensive alarm system and control method thereof |
| CN106143378A (en) * | 2016-07-08 | 2016-11-23 | 湖南福马投资有限公司 | The anti-system of suffocating of Vehicular multifunctional anti-suffocation |
| CN108001221A (en) * | 2016-10-31 | 2018-05-08 | 比亚迪股份有限公司 | For ensureing processing method, device and the vehicle of in-car safety |
| CN108340865A (en) * | 2018-04-09 | 2018-07-31 | 威海重乾智能科技有限公司 | Vehicle safety monitoring device and automobile |
| US10115029B1 (en) * | 2015-10-13 | 2018-10-30 | Ambarella, Inc. | Automobile video camera for the detection of children, people or pets left in a vehicle |
| CN108944672A (en) * | 2018-07-19 | 2018-12-07 | 安顺职业技术学院 | A kind of environment inside car monitoring automatic emergency safety system |
-
2018
- 2018-12-11 CN CN201811512990.1A patent/CN109532665B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9000907B1 (en) * | 2014-09-23 | 2015-04-07 | Paul F. Rembach | Safety system for alerting an operator of a parked vehicle that an occupant is still present in the parked vehicle |
| CN105109402A (en) * | 2015-09-30 | 2015-12-02 | 宇龙计算机通信科技(深圳)有限公司 | Automobile alarming device and method |
| US10115029B1 (en) * | 2015-10-13 | 2018-10-30 | Ambarella, Inc. | Automobile video camera for the detection of children, people or pets left in a vehicle |
| CN105329201A (en) * | 2015-11-13 | 2016-02-17 | 惠州住成电装有限公司 | Automobile closed environment comprehensive alarm system and control method thereof |
| CN106143378A (en) * | 2016-07-08 | 2016-11-23 | 湖南福马投资有限公司 | The anti-system of suffocating of Vehicular multifunctional anti-suffocation |
| CN108001221A (en) * | 2016-10-31 | 2018-05-08 | 比亚迪股份有限公司 | For ensureing processing method, device and the vehicle of in-car safety |
| CN108340865A (en) * | 2018-04-09 | 2018-07-31 | 威海重乾智能科技有限公司 | Vehicle safety monitoring device and automobile |
| CN108944672A (en) * | 2018-07-19 | 2018-12-07 | 安顺职业技术学院 | A kind of environment inside car monitoring automatic emergency safety system |
Non-Patent Citations (1)
| Title |
|---|
| 基于深度卷积网络的人脸年龄分析算法与实现;曹檑等;《软件工程》;20160831;第19卷(第8期);第13-18页 * |
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|---|---|
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