CN114235042A - Safety detection and processing system in vehicle - Google Patents
Safety detection and processing system in vehicle Download PDFInfo
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- CN114235042A CN114235042A CN202111510035.6A CN202111510035A CN114235042A CN 114235042 A CN114235042 A CN 114235042A CN 202111510035 A CN202111510035 A CN 202111510035A CN 114235042 A CN114235042 A CN 114235042A
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- 238000012545 processing Methods 0.000 title claims abstract description 49
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 24
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000018044 dehydration Effects 0.000 claims abstract description 4
- 238000006297 dehydration reaction Methods 0.000 claims abstract description 4
- 230000007613 environmental effect Effects 0.000 claims abstract description 4
- 206010003497 Asphyxia Diseases 0.000 claims abstract description 3
- 230000006399 behavior Effects 0.000 claims description 20
- 238000013528 artificial neural network Methods 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 9
- 238000011176 pooling Methods 0.000 claims description 7
- 239000011521 glass Substances 0.000 claims description 6
- 230000000087 stabilizing effect Effects 0.000 claims description 6
- 230000009429 distress Effects 0.000 claims description 4
- 206010013647 Drowning Diseases 0.000 claims description 3
- 238000005422 blasting Methods 0.000 claims description 3
- 230000014759 maintenance of location Effects 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 5
- 238000013135 deep learning Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
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- 238000006243 chemical reaction Methods 0.000 description 2
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- WURBVZBTWMNKQT-UHFFFAOYSA-N 1-(4-chlorophenoxy)-3,3-dimethyl-1-(1,2,4-triazol-1-yl)butan-2-one Chemical compound C1=NC=NN1C(C(=O)C(C)(C)C)OC1=CC=C(Cl)C=C1 WURBVZBTWMNKQT-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/02—Occupant safety arrangements or fittings, e.g. crash pads
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R2021/0002—Type of accident
- B60R2021/0016—Fall in water
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Abstract
The invention discloses an in-vehicle safety detection and processing system, relating to the technical field of vehicle safety, and the system comprises: temperature and humidity sensor, water pressure sensor, machine vision module, processing apparatus and controller, the controller is used for: judging whether detained people and infants exist in the car or not through the machine vision module after flameout, automatically monitoring environmental data in the car through a temperature and humidity sensor, and controlling a processing device to process the detained problem of the children in the car when the children in the car are in danger of suffocation or dehydration; after the water pressure sensor monitors that the long-time water pressure reaches a certain threshold value, the processing device is controlled to process the vehicle water falling problem; the driving condition of a driver is identified through the machine vision module, and when the dangerous behavior state of the driver is monitored, the processing device is controlled to process the dangerous driving problem of the driver in the vehicle. The invention can prevent various in-vehicle safety problems such as accidents caused by in-vehicle personnel retention, vehicle falling into water and dangerous behavior driving.
Description
Technical Field
The invention relates to the technical field of automobile safety, in particular to an in-automobile safety detection and processing system.
Background
As the amount of vehicles kept continues to increase, more and more safety accidents occur within the vehicles. For example, when a parent forgets that a child leaves the vehicle in the back row, the child is trapped in the closed vehicle, and the temperature of the vehicle rapidly rises due to high-temperature exposure, the child trapped in the vehicle is suffocated and even dies due to high temperature. As another example, a vehicle falling into a water causes a person to be trapped within the vehicle. For another example, a driver of a vehicle may be unaware of dangerous driving behaviors due to fatigue or the like, thereby causing a serious safety accident.
In the related art, on one hand, only one type of in-vehicle safety problem, such as only a retention problem of a child in a vehicle or only a fatigue problem of a driver of the vehicle, can be detected, and various in-vehicle safety problems cannot be detected. On the other hand, the efficiency of detecting safety problems in the vehicle and the efficiency of processing safety problems in the vehicle are not high, if the safety problems in the vehicle are detected, an alarm is sent out, and personnel receiving the alarm make corresponding measures to carry out rescue. However, in reality, a plurality of situations, such as delayed transmission of the alarm signal, neglected alarm signal, long rescue distance, no proper rescue tool at hand, etc., may occur, which often results in the problem of safety in the vehicle not being effectively solved and protected.
Disclosure of Invention
In view of this, the invention provides an in-vehicle safety detection and processing system, which implements in-vehicle safety detection and processing to prevent various in-vehicle safety problems such as accidents caused by people staying in the vehicle (such as infants left), falling of the vehicle into water, and driving in dangerous behaviors.
Therefore, the invention provides the following technical scheme:
the invention provides an in-vehicle safety detection and processing system, which comprises:
the temperature and humidity sensor is used for monitoring the temperature and humidity in the vehicle in real time;
the water pressure sensor is used for monitoring the water inlet depth of the vehicle in real time;
the machine vision module is used for acquiring images in the vehicle in real time and identifying the images in the vehicle so as to monitor whether children are detained in the vehicle and monitor whether dangerous driving behaviors exist in a driver;
a processing apparatus for being directed at safety problem in the car handles, and the processing mode includes at least: controlling the vehicle window to descend, sending danger information to a reserved mobile phone number, sending alarm sound to seek help to surrounding pedestrians, warning a driver, uploading illegal behaviors to a cloud end for recording and breaking glass;
respectively with temperature and humidity sensor, water pressure sensor, machine vision module and the controller that processing apparatus is connected, the controller specifically is used for: after flameout is judged, whether detained people and infants exist in the car or not is judged through neural network image recognition of the machine vision module, environmental data in the car is automatically monitored through a temperature and humidity sensor, and when the children in the car are in danger of suffocation or dehydration, the processing device is controlled to process the detained problems of the children in the car;
after the water pressure sensor monitors that the long-time water pressure reaches a certain threshold value, the processing device is controlled to process the vehicle water falling problem;
the driving condition of a driver is identified through a neural network image of the machine vision module, and when the situation that the driver is in a dangerous behavior state is monitored, the processing device is controlled to process the dangerous driving problem of the driver in the vehicle.
Further, the processing device comprises: the device comprises a stepping motor capable of lowering a car window, a window breaker capable of blasting the car window and a communication module;
correspondingly, control processing apparatus handles the problem of children being detained in the car, includes:
controlling the stepping motor to lower the car window;
sending distress information to a vehicle contact person and sending an alarm to give an alarm through the communication module;
controlling the processing device to process the vehicle drowning problem, and the method comprises the following steps:
controlling the window breaker to break glass;
control processing apparatus handles the dangerous driving problem of driver in the car, includes:
and the wide and communication module is used for alarming and reminding a driver and uploading illegal behaviors to a cloud record.
Further, the system further comprises: and the voltage stabilizing module is powered by a 12V power supply and is used for stabilizing the voltage to 5V to supply power to the controller.
Further, the system further comprises: the Beidou navigation module is used for acquiring the running speed and longitude and latitude information of the vehicle.
Further, the system further comprises: the mobile terminal application program receives the vehicle running information transmitted by the Beidou navigation module and displays the vehicle running information; and when the vehicle is determined to be driven out of the electronic fence area and the vehicle runs over speed, outputting alarm information.
Further, the machine vision module is Openmv.
Further, the neural network includes: five convolutional layers and three maximum pooling layers.
The invention has the advantages and positive effects that: the in-vehicle safety detection and processing system plays an important role in the field of safety monitoring, can be used for monitoring the left-over state condition of the infants in the vehicle and making related reaction measures, and can be used for monitoring the environment in the vehicle, including the temperature and humidity condition, immediately alarming if an inappropriate condition occurs, monitoring the safety of falling water of the vehicle and automatically breaking windows. And meanwhile, a Beidou navigation system is carried to forward the running information to the manufactured APP, so that safety tracking is realized.
The in-vehicle safety monitoring and processing system has the characteristic of multiple functions and high integration level, integrates all main control functions by using a single-core chip, and is low in cost. The in-vehicle safety monitoring and processing system also has the characteristic of high working efficiency, the camera identifies dangerous behaviors of a driver and detects infants by adopting a deep learning method, specifically, a mode of five convolutional layers and three maximum pooling layers is adopted as a neural network framework for deep learning, three data enhancement methods of ReLU activation function and momentum method random gradient reduction, immediate shearing and the like are used, and the accuracy of a test set is finally 92.85% through repeated tests. In addition, the invention uses the 4G communication module, can directly upload data to the cloud, make a call and send a short message at any time and place, and can remind the vehicle owner of the vehicle condition at the first time and also provide evidence sources for penalty of a public security department.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block diagram of an in-vehicle security detection system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a neural network architecture for detecting child retention and dangerous driver behavior according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a block diagram of an in-vehicle safety detection and processing system according to an embodiment of the present invention is shown, where the system is mainly used in a vehicle-mounted system such as a car, a truck, and the like, and includes:
temperature and humidity sensor: the temperature and humidity monitoring device is arranged in a vehicle cab and used for monitoring the temperature and humidity in the vehicle in real time; 5V power supply is used, data are read through a single bus protocol, and the data are processed by using an anti-pulse interference average filtering method.
A water pressure sensor: the system is arranged on a vehicle chassis and used for monitoring the water inlet depth of a vehicle in real time; 5V power supply is used, ADC reading is carried out, and an average filtering method for preventing pulse interference is used for filtering the read voltage value and converting the voltage value into the depth of the water entering the vehicle.
A camera: the monitoring device is respectively arranged in the front and middle positions of a vehicle cab and is respectively used for monitoring a driver and a person sitting in the rear row of the vehicle; more specifically, 1 camera is arranged right above the instrument panel, and can shoot the position of the full appearance of the driver; the vehicle interior center position is provided with 1 camera, can shoot the position of the back row personnel's condition of taking.
A machine vision module: the system is used for acquiring an in-vehicle image in real time and identifying the in-vehicle image; specifically, the machine vision module can be openmv, which is an open-source, low-cost and powerful machine vision module, integrates an OV7725 camera chip, and efficiently realizes a core machine vision algorithm by using C language on a small hardware module to provide a Python programming interface. This machine vision module uses the 3.3V power supply for image in the real-time acquisition car, whether have children to be detained and the monitoring driver has dangerous driving behavior in the monitoring car. The children retention and driver dangerous behavior detection adopts a deep learning method, because a controller (STM32) has poor calculation capability and cannot use a deeper deep network, and in consideration of model compression, the method adopts a mode of five convolutional layers and three maximum pooling layers as a deep learning neural network framework and adopts a ReLU activation function and momentum method random gradient descent. As shown in fig. 2, under the neural network framework, the first convolutional layer: the input picture size is: 224 × 3 (or 227 × 3); the first convolutional layer is: 11 × 96, size 11 × 11, with 96 convolution kernels, step size 4, convolution layer followed by ReLU, so output size 224/4 × 56, removed edge 55, so each feature map output is 55 × 96, followed by LRN layers, with unchanged size; the maximum pooling layer, kernel size 3 x 3, step size 2, therefore feature map size 27 x 96. A second layer of convolutional layers: the input tensor is 27 × 96; the convolution sum has a size of 5 x 256, step size 1, and no change in size, again followed by the ReLU and LRN layers. Maximum pooling layer, and size 3 x 3, step size 2, so feature map is: 13*13*256. Third to fifth convolutional layers: the input tenor is 13 × 256. The third layer convolution is 3 x 384 with step size 1, plus ReLU. The fourth convolution is 3 × 384, step size 1, plus ReLU. The fifth layer convolution is 3 × 256 with step size 1, plus ReLU. The fifth layer is followed by the largest pooling layer, core size 3 x 3, step size 2, hence feature map:6 x 256. And the sixth layer to the eighth layer are all connected layers. The next three layers are full connection layers, which are respectively: FC:4096+ ReLU; FC 4096+ ReLU; FC: 1000. The last layer is the probability value that softmax is class 1000.
In the aspect of a data set, three data enhancement methods of random cutting, changing the strength of RGB channels in a training image, uniformly rotating pictures by 60 degrees and the like are used, the model accuracy is further improved through data enhancement, and finally the accuracy of a test set is 92.85% through repeated tests.
A processing device: the method is used for processing the safety problem in the vehicle and comprises the following steps: controlling the vehicle window to descend, sending danger information to a reserved mobile phone number, sending alarm sound to seek help to surrounding pedestrians, warning a driver, uploading illegal behaviors to a cloud end for recording, breaking glass and the like. Specifically, the processing device includes: a stepping motor: the automobile window lifting device is used as an automobile window lifting device, is respectively arranged on four automobile windows, is powered by a 12V power supply, adopts a stepping motor driver, is driven by PWM (pulse width modulation), and drives current to be 2.5A, so that the automobile windows can be quickly lowered when an automobile falls into water. Breaking the window: the front windshield and the rear windshield are respectively arranged on the front windshield and the rear windshield of the vehicle; the 12V power supply is used for supplying power, the flag bit is returned after the water falling condition is detected, the button can be used for starting, and the blasting is automatically carried out after the water falling condition is detected. The wide-range communication module: the vehicle contact person monitoring system has the advantages that 5V power supply is used, the vehicle contact person monitoring system is communicated with the controller through the serial port 1, a data frame format is automatically constructed, data transmission is more accurate and efficient, distress information can be sent to vehicle contact persons through the wide-communication module, an alarm is given out for alarming, a driver can be warned, and illegal behaviors can be uploaded to a cloud record.
A controller: the controller is connected with the machine vision module and used for acquiring an image recognition result of the machine vision module; the controller is connected with the temperature and humidity sensor and is used for acquiring the temperature and the humidity in the vehicle measured by the temperature and humidity sensor; the controller is also connected with the water pressure sensor and is used for acquiring the water pressure in the vehicle measured by the water pressure sensor; meanwhile, the controller is also connected with the processing device, and the processing device is controlled to process the safety problem in the vehicle. In a particular implementation, the controller may be implemented by STM32F 4.
Specifically, the controller initiatively judges whether there are detained personnel and infant in the car through the neural network image recognition of machine vision module after flame-out to environmental data in the automatic monitoring car through temperature and humidity sensor, when children have the danger of suffocating or dehydration in the car, stranded children in the car are initiatively rescued through reducing a series of measures such as door window to the controller, send distress message and seek help through alarm through wide and expert's automation to vehicle contact person simultaneously, the life of stranded children is saved.
After the controller monitors that the long-time water pressure reaches a certain threshold value through the water pressure sensor, the controller actively breaks the glass, and the escape is facilitated. When the automobile is driven into water, people in the automobile can press the control button in the automobile to enable the system to break the automobile window.
The controller identifies the driving condition of the driver through the neural network image of the machine vision module, and actively gives an alarm to the driver to remind and uploads illegal behaviors to the cloud record when the dangerous behavior state of the driver is monitored.
Further, the system further comprises:
a voltage stabilizing module: the power supply is 12V, and the voltage is stabilized to 5V through the voltage stabilizing module to supply power to the controller.
The Beidou navigation module: the 3.3V power supply is used, the vehicle running speed and longitude and latitude information are read by decoding data, and the data are uploaded to the mobile phone.
Application (APP): and the running information carrying the Beidou navigation system is forwarded to the APP, so that the safety tracking is realized. The data are accessed into a map application program, a driving track is described through a drawing algorithm, an electronic fence function is added, when a vehicle runs out of a fence area, the APP gives an alarm by vibration, and when the vehicle runs at an overspeed, the APP gives an alarm by vibration.
The experimental results prove that: the accuracy rate of information of drowning, detained children and dangerous behaviors which is transmitted back by the Guanghe navigation satellite system is 100%, and the accuracy rate of the Beidou navigation system reaches 98%; the neural network identifies whether the baby is left in the car, the accuracy rate is more than 95%, dangerous behaviors of a driver are identified, the accuracy rate is more than 90%, the temperature and humidity accuracy of the temperature and humidity sensor reaches 95%, and the accuracy rate of the water pressure monitoring range reaches 98%. The system has good performance, can accurately monitor safety and respond in time.
The in-vehicle safety monitoring and processing system in the embodiment of the invention plays an important role in the field of safety monitoring, can be used for monitoring the left state condition of infants in a vehicle and making related reaction measures, and can be used for monitoring the environment in the vehicle, including the temperature and humidity condition, immediately alarming if an inappropriate condition occurs, monitoring the safety of falling into water of the vehicle and automatically breaking windows. And meanwhile, a Beidou navigation system is carried to forward the running information to the manufactured APP, so that safety tracking is realized.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. An in-vehicle security detection and processing system, the system comprising:
the temperature and humidity sensor is used for monitoring the temperature and humidity in the vehicle in real time;
the water pressure sensor is used for monitoring the water inlet depth of the vehicle in real time;
the machine vision module is used for acquiring images in the vehicle in real time and identifying the images in the vehicle so as to monitor whether children are detained in the vehicle and monitor whether dangerous driving behaviors exist in a driver;
a processing apparatus for being directed at safety problem in the car handles, and the processing mode includes at least: controlling the vehicle window to descend, sending danger information to a reserved mobile phone number, sending alarm sound to seek help to surrounding pedestrians, warning a driver, uploading illegal behaviors to a cloud end for recording and breaking glass;
respectively with temperature and humidity sensor, water pressure sensor, machine vision module and the controller that processing apparatus is connected, the controller specifically is used for:
after flameout is judged, whether detained people and infants exist in the car or not is judged through neural network image recognition of the machine vision module, environmental data in the car is automatically monitored through a temperature and humidity sensor, and when the children in the car are in danger of suffocation or dehydration, the processing device is controlled to process the detained problems of the children in the car;
after the water pressure sensor monitors that the long-time water pressure reaches a certain threshold value, the processing device is controlled to process the vehicle water falling problem;
the driving condition of a driver is identified through a neural network image of the machine vision module, and when the situation that the driver is in a dangerous behavior state is monitored, the processing device is controlled to process the dangerous driving problem of the driver in the vehicle.
2. The in-vehicle safety detecting and processing system according to claim 1, wherein the processing device comprises: the device comprises a stepping motor capable of lowering a car window, a window breaker capable of blasting the car window and a communication module;
correspondingly, control processing apparatus handles the problem of children being detained in the car, includes:
controlling the stepping motor to lower the car window;
sending distress information to a vehicle contact person and sending an alarm to give an alarm through the communication module;
controlling the processing device to process the vehicle drowning problem, and the method comprises the following steps:
controlling the window breaker to break glass;
control processing apparatus handles the dangerous driving problem of driver in the car, includes:
and the wide and communication module is used for alarming and reminding a driver and uploading illegal behaviors to a cloud record.
3. The in-vehicle security detection and processing system of claim 1, further comprising: and the voltage stabilizing module is powered by a 12V power supply and is used for stabilizing the voltage to 5V to supply power to the controller.
4. The in-vehicle security detection and processing system of claim 1, further comprising: the Beidou navigation module is used for acquiring the running speed and longitude and latitude information of the vehicle.
5. The in-vehicle security detection and processing system of claim 4, further comprising: the mobile terminal application program receives the vehicle running information transmitted by the Beidou navigation module and displays the vehicle running information; and when the vehicle is determined to be driven out of the electronic fence area and the vehicle runs over speed, outputting alarm information.
6. The in-vehicle security detection and processing system of claim 1, wherein the machine vision module is Openmv.
7. The in-vehicle safety monitoring and processing system according to claim 1, wherein the neural network comprises: five convolutional layers and three maximum pooling layers.
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