CN114846773A - Method and device for preventing life from being left in vehicle - Google Patents
Method and device for preventing life from being left in vehicle Download PDFInfo
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- CN114846773A CN114846773A CN201980102507.9A CN201980102507A CN114846773A CN 114846773 A CN114846773 A CN 114846773A CN 201980102507 A CN201980102507 A CN 201980102507A CN 114846773 A CN114846773 A CN 114846773A
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
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Abstract
The embodiment of the application provides a method and a device for preventing a living body from being left in a vehicle, wherein the method comprises the following steps: when the door and the window of the vehicle are both in a locked state, acquiring a detection value of a pressure sensor under the seat, and judging whether the detection value is greater than or equal to a threshold value; taking a picture of the environment in the vehicle to obtain a picture under the condition that the detection value is judged to be greater than or equal to the threshold value; identifying the photo to obtain an identification result; and sending a reminding message containing the identification result to the terminal when the identification result indicates that the living body exists in the vehicle. By implementing the embodiment of the application, the life can be prevented from being left in the vehicle, and accidents are avoided.
Description
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for preventing a living being from being left in a vehicle.
With the rapid development of society, the pace of life of people is faster and faster. The automobile is a better tool for riding instead of walking in life of people, and brings convenience to life of people.
As the quantity of automobiles increases, events in which children are locked in automobiles are also frequent. The infrared detection device is arranged on the intelligent automobile, but the state of the life body on the automobile is not correct or other reasons sometimes, so that the condition that the infrared detection is unsuccessful is caused, and the owner cannot be informed.
Disclosure of Invention
The embodiment of the application provides a method and a device for preventing a living body from being left in a vehicle, which can overcome the defects of the prior art, effectively prevent the living body from being left in the vehicle, and improve the use experience of a user.
In a first aspect, an embodiment of the present application provides a method for preventing a living being from being left in a vehicle, including:
when the door and the window of the vehicle are both in a locked state, acquiring a detection value of a pressure sensor under the seat, and judging whether the detection value is greater than or equal to a threshold value;
taking a picture of the environment in the vehicle to obtain a picture under the condition that the detection value is judged to be greater than or equal to the threshold value;
identifying the photo to obtain an identification result;
and sending a reminding message containing the identification result to a terminal under the condition that the identification result indicates that a living body exists in the vehicle.
It can be seen that in the embodiment of the present application, when both the door and the window of the vehicle are in a locked state, the tracker acquires the detection value of the under-seat pressure sensor, compares the detection value with the threshold value, and if the detection value is greater than or equal to the threshold value, which indicates that there is a possibility of a living body in the vehicle, takes a picture of the environment in the vehicle, identifies the obtained picture, and sends a warning message including the identification result to the terminal, where the identification result can indicate whether there is a living body in the vehicle. Therefore, according to the embodiment of the application, whether the reminding message is sent to the terminal or not is determined according to the relation between the detection value of the pressure sensor and the threshold value and the recognition result of the picture in the vehicle, so that the life can be effectively prevented from being left in the vehicle, and the use experience of a user is improved.
Based on the first aspect, in a possible implementation, the recognizing the photo includes:
inputting the picture into a neural network recognition model for recognition;
the neural network recognition model is obtained by training in advance based on a plurality of photos in a training set, wherein each photo in the training set comprises a label, and the label is used for indicating whether the life body exists in the photos in the training set.
It can be seen that the neural network recognition model is obtained by pre-training a plurality of photos including labels as samples, wherein the labels are used for indicating whether life bodies exist in the photos, and when the photos taken by the camera are input into the neural network recognition model for recognition, a more accurate recognition result can be obtained.
Based on the first aspect, in a possible implementation manner, after the sending, to the terminal, the reminding message including the identification result in the case that the identification result indicates that the living body exists in the vehicle, the method further includes:
and receiving a windowing instruction and/or a door opening instruction sent by the terminal, and operating according to the windowing instruction and/or the door opening instruction.
It can be seen that when the recognition result indicates that a living body exists in the vehicle, the tracker can send a reminding message to the terminal, after the terminal receives the reminding message, the user finds that the living body exists in the vehicle by checking the reminding message, the window opening instruction and/or the door opening instruction can be sent to the tracker through the terminal, the tracker receives the instruction and operates according to the window opening instruction and/or the door opening instruction, so that the living body can be prevented from being left in the closed vehicle for a long time, and an unexpected event is prevented.
Based on the first aspect, in a possible implementation manner, before receiving the windowing instruction and/or the door opening instruction sent by the terminal, the method further includes:
receiving a video connection instruction sent by the terminal;
and starting a camera in the vehicle to realize video connection with the terminal so as to further confirm the condition of the life body in the vehicle.
It can be seen that after the tracker sends the reminding message to the terminal, the tracker may also receive a video connection instruction sent by the terminal, and by connecting the tracker with the terminal, the terminal user can see the situation inside the vehicle, so that the situation of the living body in the vehicle can be further determined.
Based on the first aspect, in a possible implementation, the method further includes:
receiving a photographing instruction sent by the terminal;
and sending the photo to the terminal so as to further confirm the condition of the life body in the vehicle.
It can be seen that after the tracker sends the reminding message to the terminal, the tracker may also receive the photographing instruction sent by the terminal, and may send the photographed photo to the terminal, so that the terminal user may further determine the condition of the living body by looking up the target photo.
In a second aspect, an embodiment of the present application provides an apparatus for preventing a living being from being left in a vehicle, including:
the judging module is used for acquiring the detection value of the pressure sensor under the seat when the door and the window of the vehicle are both in a locking state, and judging whether the detection value is greater than or equal to a threshold value;
the camera module is used for photographing the environment in the vehicle of the vehicle to obtain a photo under the condition that the detection value is judged to be larger than or equal to the threshold value;
the recognition module is used for recognizing the photo to obtain a recognition result;
and the communication module is used for sending a reminding message containing the identification result to the terminal under the condition that the identification result indicates that the living body exists in the vehicle.
In a specific embodiment, the identification module is specifically configured to:
inputting the picture into a neural network recognition model for recognition;
the neural network recognition model is obtained by training in advance based on a plurality of photos in a training set, wherein each photo in the training set comprises a label, and the label is used for indicating whether the life body exists in the photos in the training set.
In a specific embodiment, after the recognition result indicates that a living body exists in the vehicle, the communication module is further configured to receive a window opening instruction and/or a door opening instruction sent by the terminal and perform an operation according to the window opening instruction and/or the door opening instruction after sending a prompt message including the recognition result to the terminal.
In a specific embodiment, before receiving the windowing instruction and/or the door opening instruction sent by the terminal,
the communication module is further used for receiving a video connection instruction sent by the terminal;
the camera module is also used for starting a camera in the vehicle to realize video connection with the terminal so as to further confirm the condition of the life body in the vehicle.
In a specific embodiment, the communication module is further configured to receive a photographing instruction sent by the terminal; and sending the photo to the terminal so as to further confirm the condition of the life body in the vehicle.
In one implementation, the apparatus may be applied to a tracker of a vehicle.
Each functional module in the apparatus provided in the embodiment of the present application is specifically configured to implement the method described in the first aspect.
In a third aspect, an embodiment of the present application provides a computing device, including a processor, a communication interface, and a memory; the memory is configured to store instructions, the processor is configured to execute the instructions, and the communication interface is configured to receive or transmit data; wherein the processor executes the instructions to perform the method as described in the first aspect or any specific implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides a system for preventing a living being from being left in a vehicle, including: the system comprises a tracker of the vehicle, a door control module, a window control module and a terminal. The door control module is a control unit of the door and can control the opening and closing of the door. The window control module is a control unit of a window, and can control the opening and closing of the window. The vehicle tracker can acquire the states of a vehicle door and a vehicle window, acquires the detection value of a pressure sensor under a seat under the condition that the vehicle door and the vehicle window are both in a locked state, compares the detection value with a threshold value, starts a camera in the vehicle to shoot if the detection value is larger than or equal to the threshold value, inputs the shot picture into a recognition model for recognition to obtain a recognition result, and sends a reminding message to a terminal according to the recognition result. After the terminal user obtains the reminding message, the terminal user can select to send a video connection instruction or a photographing instruction through the terminal so as to further determine the condition of the life body in the vehicle, then the terminal user can also select to send a window opening and/or door opening instruction through the terminal according to the condition of the life body in the vehicle, and the tracker operates according to the window opening and/or door opening instruction so as to prevent the life body from being left in the closed vehicle for a long time. Each device and functional module in the system provided in the embodiment of the present application are specifically configured to implement the method described in the first aspect.
In a fifth aspect, embodiments of the present application provide a non-volatile storage medium for storing program instructions, which, when applied to a tracker of a vehicle, can be used to implement the method described in the first aspect.
In a sixth aspect, the present application provides a computer program product, which includes program instructions, and when the computer program product is executed by a tracker of a vehicle, the tracker of the vehicle executes the method of the first aspect. The computer program product may be a software installation package which, in case it is desired to use the method provided by any of the possible designs of the first aspect described above, may be downloaded and executed on a tracker of a vehicle to carry out the method of the first aspect.
It can be seen that the embodiments of the present application provide a method for preventing a living being from being left in a vehicle, which is applied to a tracker of the vehicle. In the case that the door state and the window state are both in a locked state, comparing the detection value of the pressure sensor under the seat with the threshold value, if the detection value is greater than or equal to the threshold value, indicating that a living body possibly exists in the vehicle, in this case, starting a camera in the vehicle, taking a picture of the position of the seat of the vehicle, inputting the picture obtained by taking the picture into a neural network recognition model for recognition, because the neural network recognition model is trained by a plurality of pictures including a tag in advance, wherein the tag is used for indicating whether the living body exists in the picture, if the recognition result indicates that the living body exists in the vehicle, in this case, the tracker sends a reminding message containing the recognition result to the terminal, correspondingly, and after the terminal receives the reminding message, the terminal can select the situation that the living body in the vehicle is further determined through a video picture or the picture, and then according to the condition of the living body, selecting to send a window opening and/or door opening instruction, receiving the corresponding instruction by the tracker, and operating according to the corresponding instruction so as to prevent the living body from being left in the vehicle. Therefore, by implementing the embodiment of the application, the life can be effectively prevented from being left in the vehicle, the occurrence of accidents is reduced, and the use experience of a user is improved.
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a method for preventing a living being from being left in a vehicle according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another method for preventing a living being from being left in a vehicle according to an embodiment of the present application;
FIG. 4 is a schematic diagram of another method for preventing a living being from being left in a vehicle according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an apparatus for preventing a living being from being left in a vehicle according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of another apparatus for preventing a living being from being left in a vehicle according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of another apparatus for preventing a living being from being left in a vehicle according to an embodiment of the present application.
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present invention, not all 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 application.
It is to be understood that the terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only, and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is noted that, as used in this specification and the appended claims, the term "comprises" and any variations thereof are intended to cover non-exclusive inclusions. For example, a system, article, or apparatus that comprises a list of elements/components is not limited to only those elements/components but may alternatively include other elements/components not expressly listed or inherent to such system, article, or apparatus.
It is also understood that the term "if" may be interpreted as "when", "upon" or "in response to" determining "or" in response to detecting "or" in the case of … "depending on the context.
It should also be noted that the terms "first," "second," "third," "fourth," and the like in the description and in the claims, are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order.
Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application, where the system architecture relates to a vehicle and a terminal, where a tracker is disposed in the vehicle, and the vehicle is in communication connection with the terminal. The vehicle can send information or instructions to the terminal, and also can receive the information or instructions sent by the terminal, and then follow-up operation is carried out according to the information or instructions. The terminal can be a mobile device such as a mobile phone, a tablet computer, a bracelet and an earphone which can realize wireless communication, and even other wearable devices with communication functions.
Referring to fig. 2, fig. 2 is a method for preventing a living being from being left in a vehicle according to an embodiment of the present application, where the method includes, but is not limited to, the following steps:
201. the method comprises the steps of obtaining states of a door and a window of the vehicle, wherein the states comprise an unlocking state and a locking state.
The user can freely set the tracker to be turned on or off according to actual conditions. For example, the user may set: when the vehicle is parked or locked, the tracker is automatically activated to prevent life from being left in the vehicle.
The tracker can acquire the state of the vehicle door through the vehicle door control module, the vehicle door control module is a control module of the vehicle door and can control the opening and closing of the vehicle door, the locking state of the vehicle door comprises the state that all the vehicle doors on the vehicle are closed, and the unlocking state of the vehicle door comprises the state that at least one vehicle door on the vehicle is opened. The tracker can also acquire the state of the vehicle window through the vehicle window control module, the vehicle window control module is a control module of the vehicle window and can control the opening and closing of the vehicle window, the locking state of the vehicle window comprises the state when all the vehicle windows on the vehicle are closed, and the unlocking state of the vehicle window comprises the state that at least one vehicle window on the vehicle is opened.
The vehicle window Control module and the vehicle door Control module may be disposed on an integrated Electronic Control Unit (ECU), or may be disposed on a plurality of Electronic Control Units (ECUs) disposed independently.
202. When door and door window are the locking state, acquire the detected value of seat down force sensor to judge whether the detected value is greater than or equal to the threshold value. If yes, go on to follow step 203; if not, the flow is ended.
In the embodiment of the present application, the pressure sensor under the seat may be a pressure sensor under a child seat, or may be a pressure sensor under any one of seats in the vehicle, and a detection value of the pressure sensor is an output parameter of the pressure sensor, and may be, for example, a mass value representing the weight of a person or an object, or a gravity value representing the weight of the person or the object, and the type of the pressure sensor and the type of the detection value are not specifically limited herein.
When the states of the vehicle door and the vehicle window are both in a locked state, the tracker firstly obtains a detection value of a pressure sensor under the seat, then compares the detection value with a preset threshold value, judges whether the detection value is greater than or equal to the preset threshold value, if the detection value is smaller than the preset threshold value, the condition that no life body exists at the position of the seat where the pressure sensor is located is indicated, and the process can be ended; if the detected value is greater than or equal to the preset threshold value, it indicates that there is a possibility of a living body in the seat position of the pressure sensor, and the subsequent step 203 is required to be executed. The living body here means a living person or object, such as an old person, a child, a pet, and the like. In practical application, the setting can be carried out by a user according to practical situations.
In the embodiment of the application, the preset threshold value can be set by a user according to actual conditions, for example, if a car owner often carries a pet out, the output value of the pressure sensor is quality, and the threshold value can be set to approximate quality of the pet; if the output of the pressure sensor is gravity, the owner may set the threshold to the approximate gravity of the pet. For example, if the owner often gets a baby or the old person out, the output value of the pressure sensor is the mass, and the threshold value may be set to the approximate mass of the baby or the approximate mass of the old person; if the output value of the pressure sensor is gravity, the owner can set the threshold value to approximate gravity of a baby or approximate gravity of an old person.
203. In the case where it is judged that the detection value is greater than or equal to the threshold value, photo recognition is performed, a recognition result is obtained, and it is determined whether the recognition result indicates the presence of a living body in the vehicle. If the recognition result indicates that a living body exists in the vehicle, continuing to execute the subsequent step 204; if the recognition result indicates that no living body exists in the vehicle, the flow is ended.
When the detected value is determined to be greater than or equal to the threshold value, it is indicated that a living or non-living body is present on the seat, and whether the seat is a living body may be determined by means of photo recognition.
The method comprises the steps of starting a camera, and taking pictures of the seat position of a pressure sensor in the vehicle or all space environments in the vehicle to obtain pictures. The camera may be a camera of a vehicle-internal driving recorder (the camera needs to be able to capture the seat position or all spatial environments in the vehicle), a separate camera, or the camera and the tracker may be coupled together.
And then, identifying the photo obtained by photographing to obtain an identification result, and determining whether a living body exists in the vehicle according to the identification result. For example, features of the photo can be extracted based on some algorithm, and then the extracted features of the photo are matched with features stored in the tracker in advance, and whether a living body exists in the photo can be identified according to the result. For another example, the neural network recognition model may be used to recognize the photo, and the obtained photo is input into the neural network recognition model to be recognized, so as to obtain a recognition result, where the recognition result indicates whether a living body exists in the vehicle. In the embodiment of the present application, the method for recognizing the photo is not specifically limited.
Briefly, a method for recognizing a photo by using a neural network recognition model is introduced below, in which the neural network recognition model needs to be trained first, and then the photo is recognized by using the trained neural network recognition model.
The neural network recognition model is obtained by training in advance based on a plurality of photos, wherein each photo comprises a label, and the label is used for indicating whether a living body exists in the photo. The plurality of photos may be photos containing a living body, which are taken by a user in advance through a camera in the vehicle and stored in the tracker, or photos containing a living body, which are copied into the tracker of the vehicle in advance through the mobile device, and at least one living body contained in the photos, for example, the living body may be a child, an old person, a dog, or the like, and the photos contain various postures of each living body. The label is used to indicate whether there is a living body in the photo, for example, if the photo used in the training sample is a photo of a child in the owner's family, the label is "living body: child ", if the photo that adopts in the training sample is the photo of the old man in the car owner family, then the label is" life entity: the old man ", if the photo that adopts in the training sample is the photo of pet dog in the car owner family, then the label is" life entity: dog ", etc.
And inputting the shot picture into a trained neural network recognition model for recognition to obtain a recognition result, wherein the recognition result indicates whether a living body exists in the vehicle or not. For example, when the neural network recognition model is trained, the training samples adopted include photographs of three life bodies including a child, an old person and a dog, if the photographs taken include the dog, the photographs including the dog are input into the trained neural network recognition model for recognition, and a recognition result can be obtained: "successful identification, life entity: dog "; if the shot picture contains a pot flower, inputting the picture containing the pot flower into a trained neural network recognition model for recognition, and obtaining a recognition result: "failure to identify, inanimate object"; if the shot picture contains the mother of the child, inputting the picture of the mother containing the child into a trained neural network recognition model for recognition, and obtaining a recognition result: "failure to identify, inanimate object"; if the shot picture contains the child, inputting the picture containing the child into a trained neural network recognition model for recognition, and obtaining a recognition result: "successful identification, life entity: children ", and so on.
Optionally, before the photo is recognized, the photo may be processed, for example, an image segmentation method is used to segment a target subject in the photo, an image enhancement method is used to enhance the photo after the segmentation, and the like, so as to achieve a better recognition effect.
Finally, when the recognition result is that the recognition is successful, namely the recognition result indicates that the living body exists in the vehicle, the subsequent step 204 is continuously executed; and when the identification result is that the identification fails, namely the identification result indicates that no life body exists in the vehicle, ending the flow.
204. And in the case that the identification result indicates that the living body exists in the vehicle, the tracker sends a reminding message to the terminal.
After the identification, if the identification result indicates that the living body exists in the vehicle, a reminding message containing the identification result needs to be sent to the terminal, and accordingly, after the terminal receives the reminding message, the user obtains the message of the living body in the vehicle by checking the reminding message.
205. The terminal sends a window opening instruction and/or a door opening instruction, and correspondingly, the tracker receives the window opening instruction and/or the door opening instruction.
After the user determines that a living body exists in the vehicle, the user can send a window opening instruction, or send a door opening instruction, or send both the window opening instruction and the door opening instruction to the tracker through the terminal, and accordingly the tracker receives the window opening instruction, or the door opening instruction, or both the window opening instruction and the door opening instruction.
206. The tracker operates according to the windowing instruction and/or the door opening instruction.
After the tracker receives the window opening instruction, the window opening instruction is sent to a window control module of the vehicle, and the window control module receives the instruction and controls the window to be opened. Therefore, the air in the vehicle is circulated with the outside air, and the living body in the vehicle can breathe fresh air, so that the living body is prevented from being left in the vehicle for a long time to cause an accident.
Or after receiving the door opening instruction, the tracker sends the door opening instruction to a vehicle door control module of the vehicle, and the vehicle door control module receives the instruction and controls the vehicle door to be opened. Therefore, the life body in the vehicle can come out and can not be left in the vehicle.
Or after receiving the window opening instruction and the door opening instruction, the tracker respectively sends the window opening instruction to a vehicle door control module of the vehicle, the door opening instruction is sent to a vehicle door control module of the vehicle, then after the window door control module receives the window opening instruction, the vehicle door control module controls the vehicle door to be opened, and after receiving the door opening instruction, the vehicle door control module controls the vehicle door to be opened. Also, the living body is not left in the vehicle to cause an unexpected event.
It should be noted that, step 201 is optional, and the tracker may obtain the locking state of the vehicle door and the vehicle window in other ways; steps 205 and 206 are optional, and after the tracker sends the reminding message containing the identification result to the terminal, the user obtains the identification result, determines that the living body exists in the vehicle, and can also prevent the living body from being left in the vehicle by other means to ensure the safety of the living body.
In order to more clearly understand the scheme of the present application, a practical application scenario is described as an example.
In an application scene, the car owner's vehicle is put downstairs, and the kid of car owner's family plays downstairs, plays tired for a moment, has just climbed the car, has a rest in the inside, and is not expected, because play too tired, the kid has fallen asleep in the car, but present door and door window all are closed, and the air is limited and not circulate in the car, and under this condition, the kid sleeps in the car very dangerously, if it is very long to fall asleep, life danger can appear.
However, if the tracker on the vehicle acquires that the vehicle door and the vehicle window are in a locked state, and then acquires the detection value of the pressure sensor, the tracker starts the neural network to identify under the condition that the detection value is judged to exceed the preset threshold value, if the identification result indicates that a living body exists in the vehicle, the tracker sends a reminding message to the mobile phone of the vehicle owner, the reminding message comprises the identification result, the vehicle owner can send a window opening instruction and a door opening instruction to the tracker after receiving the reminding message, and the tracker opens the window and the door on the vehicle according to the window opening instruction and the door opening instruction to realize the circulation of the air inside and outside the vehicle, so that the safety of the kids is ensured.
It can be seen that, by implementing the technical scheme of the embodiment of the application, the tracker acquires the states of the vehicle door and the vehicle window and the detection value of the pressure sensor under the seat, and judges the relationship between the detection value and the threshold value, and under the condition that the detection value is greater than or equal to the threshold value, the neural network is started to identify whether a living body exists in the vehicle, after identification, if the living body exists in the vehicle, the tracker sends a reminding message to the terminal, and after receiving the reminding message, the terminal can send a window opening instruction and/or a door opening instruction to the tracker, so as to prevent the living body from being left in the vehicle. Therefore, by implementing the embodiment of the application, accidents caused by the fact that life bodies are left in the vehicle can be prevented.
In the embodiment of the application, photo recognition is performed, when the recognition result indicates that a living body exists in the vehicle, the tracker sends a reminding message to the terminal, after the terminal receives the reminding message, the specific situation of the living body in the vehicle can be further confirmed through a video picture, and after the specific situation of the living body is confirmed, the terminal can further prevent the living body from being left in the vehicle by sending a warning instruction, which is shown in fig. 3.
Specific contents of 301 to 304 in the embodiment of the present application refer to specific contents of 201 to 204 in fig. 2, and for brevity of the description, are not described herein again.
301. The tracker acquires the states of the doors and windows of the vehicle, including an unlocked state and a locked state.
302. When door and door window are the locking state, acquire the detected value of seat down force sensor to judge whether the detected value is greater than or equal to the threshold value.
303. In the case where it is judged that the detection value is greater than or equal to the threshold value, photo recognition is performed, a recognition result is obtained, and it is determined whether the recognition result indicates the presence of a living body in the vehicle. If the recognition result indicates that a living body exists in the vehicle, continuing to execute the subsequent step 204; if the recognition result indicates that no living body exists in the vehicle, the flow is ended.
304. And in the case that the identification result indicates that the living body exists in the vehicle, the tracker sends a reminding message to the terminal.
305. And establishing a video connection.
After the terminal user determines that the living body exists in the vehicle by checking the reminding message, the situation of the living body can be further determined in a video picture mode.
The video connection process between the terminal and the tracker is established as follows, the terminal sends a video connection instruction to the tracker, correspondingly, after the tracker receives the video connection instruction, the camera is started to shoot the picture in the vehicle, the video monitoring of the picture in the vehicle by the terminal is realized, and the terminal user can further determine the condition of the living body through the video picture, for example, the neural network recognition result can be further confirmed, the health condition of the living body can be checked, and the like.
306. The terminal sends an alarm instruction, and accordingly the tracker receives the alarm instruction.
The end user, upon determining the specifics of the living being, may also send alert instructions to the tracker to seek assistance from people nearby. The warning instruction can be to start a horn, turn on double flashing lights, or start the horn and turn on flashing lights, etc. Accordingly, the tracker receives the warning instruction sent by the terminal.
307. The tracker operates according to the warning instruction.
The tracker executes at least one of the following operations according to the received warning instruction: starting the loudspeaker, turning on the double flashing light, etc. The mode is particularly suitable for enabling a horn to continuously sound or turn on the double-flashing light to continuously flash when a vehicle owner is far away from the vehicle, so that the attention of nearby people is attracted to seek the help of the nearby people, and the nearby people can avoid life bodies from being left in the vehicle for a long time by smashing windows or dialing a telephone.
It should be noted that, step 301 is optional, and the tracker may obtain the locked state of the vehicle door and the vehicle window in other ways; step 305 is optional, after the tracker sends the reminding message containing the identification result to the terminal, the user obtains the identification result to know that the living body exists in the vehicle, and in order to determine the specific situation of the living body in the vehicle, other modes can be adopted besides establishing video connection; steps 306 and 307 are optional, and the living body can be prevented from being left in the vehicle in other ways, so that the safety of the living body is ensured.
It can be seen that in the embodiment of the application, the terminal user can monitor the picture in the vehicle by establishing the video connection, so that the specific situation of the life body in the vehicle can be further determined, after the specific situation of the life body is determined, a warning instruction can be sent to the tracker through the terminal, and the tracker can execute operation according to the warning instruction to avoid the life body being left in the vehicle. By implementing the embodiment of the application, the condition of the living body in the vehicle can be specifically determined, and corresponding operation can be performed according to the specific condition of the living body.
In the embodiment of the application, the photo recognition is performed, the tracker sends the reminding message to the terminal when the recognition result indicates that the living body exists in the vehicle, and after the terminal receives the reminding message, the specific situation of the living body in the vehicle can be further confirmed by taking a picture, which is shown in fig. 4.
401. The tracker acquires the states of the doors and windows of the vehicle, including an unlocked state and a locked state.
402. When door and door window are the locking state, acquire the detected value of seat down force sensor to judge whether the detected value is greater than or equal to the threshold value.
403. In the case where it is judged that the detection value is greater than or equal to the threshold value, photo recognition is performed, a recognition result is obtained, and it is determined whether the recognition result indicates the presence of a living body in the vehicle. If the recognition result indicates that a living body exists in the vehicle, continuing to execute the subsequent step 204; if the recognition result indicates that no living body exists in the vehicle, the flow is ended.
404. And in the case that the identification result indicates that the living body exists in the vehicle, the tracker sends a reminding message to the terminal.
405. And (5) confirming by taking a picture.
After the terminal user determines that the living body exists in the vehicle by checking the reminding message, the condition of the living body can be further determined in a photographing confirmation mode.
Firstly, the terminal sends a photographing instruction to the tracker, correspondingly, after the tracker receives the photographing instruction, the camera is started to photograph the condition in the vehicle, the photographed photo is sent to the terminal, and the terminal user can determine the specific condition of the life body by checking the photo. Wherein the tracker sends the taken picture to the terminal. The mode of sending the pictures by the tracker can be set by a user, the user can select the camera to send all the pictures to the terminal at one time after the shooting is finished, and correspondingly, the terminal receives all the pictures sent by the tracker; the user can also choose to send a picture to the tracker each time the camera takes a picture, and accordingly the terminal receives the pictures sent by the tracker one by one.
It should be noted that the photo sent by the tracker to the terminal may also be the photo taken in 403.
406. The terminal sends an alarm instruction, and accordingly the tracker receives the alarm instruction.
407. The tracker operates according to the warning instruction.
It should be noted that, step 401 is optional, and the tracker may obtain the locking state of the vehicle door and the vehicle window in other ways; step 405 is optional, after the tracker sends the reminding message containing the identification result to the terminal, the user obtains the identification result to know that the living body exists in the vehicle, and in order to determine the specific situation of the living body in the vehicle, other modes can be adopted besides the confirmation by photographing; steps 406 and 407 are optional, and the living body can be prevented from being left in the vehicle in other ways, so that the safety of the living body is ensured.
In order to more clearly understand the scheme of the present application, a practical application scenario is described as an example.
In another application scenario, when the owner goes out to work, the pet dog at home follows the car, and after the owner arrives at the destination, the owner works urgently, and then hurries up the underground car, and the pet dog is left on the car. After the car owner finishes the work, the car owner goes to a nearby shopping mall to visit, and forgets that the pet dog is still on the car, and under the condition, the pet dog is dangerous to live if staying in the closed car for a long time.
If the tracker on the vehicle acquires that the vehicle door and the vehicle window are in a locked state and acquires the detection value of the pressure sensor, the detection value is judged to exceed a preset threshold value, then the neural network is started to identify, the identification result indicates that a living body is in the vehicle, the living body is a dog, under the condition, the tracker sends a reminding message to the terminal, a terminal user can select to send a photographing instruction to the tracker after checking the reminding message, correspondingly, the tracker receives the photographing instruction, starts the camera to photograph the space in the vehicle and sends the photographed photograph to the terminal, the terminal user determines the specific condition of the dog in the vehicle by checking the photograph, but as the vehicle owner is far away from the vehicle in a market and in order to prevent accidents, the terminal user can send a warning instruction to the tracker, after the tracker receives the warning instruction, the horn rings continuously, the double flashing lights flicker continuously, and then nearby people pay attention to the back, and the dog is rescued from the car successfully through the help of the nearby people.
By implementing the technical scheme of the embodiment of the application, the terminal sends the photographing instruction to the tracker, the tracker starts the camera to photograph the picture in the vehicle after receiving the photographing instruction, the picture is obtained and sent to the terminal, or the picture collected during picture recognition is sent to the terminal, a terminal user determines the specific situation of the life body by checking the picture, then sends the instruction according to the specific situation of the life body, and the tracker operates according to the corresponding instruction. By implementing the scheme of the embodiment of the application, the specific situation of the life body can be determined through multiple photos in a multi-angle manner, and the life body is prevented from being left in a vehicle.
Referring to fig. 5, fig. 5 is a schematic diagram of an apparatus 50 for preventing a living being from being left in a vehicle according to an embodiment of the present application, where the apparatus 50 is suitable for a tracker, and may include:
the judging module 501 is configured to, when both a door and a window of a vehicle are in a locked state, acquire a detection value of a pressure sensor under a seat, and judge whether the detection value is greater than or equal to a threshold value;
the camera module 502 is configured to take a picture of an environment in the vehicle to obtain a picture when the detected value is determined to be greater than or equal to the threshold value;
the recognition module 503 is configured to recognize the photo to obtain a recognition result;
and the communication module 504 is used for sending a reminding message containing the identification result to the terminal under the condition that the identification result indicates that the living body exists in the vehicle.
In a specific embodiment, the identifying module 503 is specifically configured to:
inputting the picture into a neural network recognition model for recognition;
the neural network recognition model is obtained by training in advance based on a plurality of photos in a training set, wherein each photo in the training set comprises a label, and the label is used for indicating whether a living body exists in the photos in the training set.
In a specific embodiment, when the identification result indicates that a living body exists in the vehicle, after sending a prompting message containing the identification result to the terminal, the communication module 504 is further configured to receive a window opening instruction and/or a door opening instruction sent by the terminal, and perform an operation according to the window opening instruction and/or the door opening instruction.
In a specific embodiment, before receiving the windowing instruction and/or the door opening instruction sent by the terminal,
the communication module 504 is further configured to receive a video connection instruction sent by the terminal;
the camera module 502 is further configured to start a camera in the vehicle, and implement video connection with the terminal to further confirm the situation of the living body in the vehicle.
In a specific embodiment, the communication module 504 is further configured to receive a photographing instruction sent by the terminal; and sending the picture to the terminal so as to further confirm the condition of the life body in the vehicle.
The functional modules of the apparatus 50 may be used to implement the method described in the embodiment of fig. 2, fig. 3, or fig. 4, and specific contents may refer to descriptions in relevant contents of the embodiment of fig. 2, fig. 3, and fig. 4, and for brevity of the description, details are not repeated here.
Referring to fig. 6, fig. 6 is a schematic diagram of another apparatus 600 for preventing a living being from being left in a vehicle according to an embodiment of the present application, where the apparatus 600 is adapted to a tracker, and includes at least: processor 610, communication interface 620, and memory 630, processor 610, communication interface 620, and memory 630 coupled by bus 640. Wherein, the first and the second end of the pipe are connected with each other,
the processor 610 is used for executing the judgment module 501, the camera module 502, the identification module 503 and the communication module 504 in fig. 5 by calling the program code in the memory 630. In practical applications, processor 610 may include one or more general-purpose processors, wherein a general-purpose processor may be any type of device capable of Processing electronic instructions, including a Central Processing Unit (CPU), a microprocessor, a microcontroller, a main processor, a controller, and an ASIC (Application Specific Integrated Circuit), among others. The processor 610 reads the program code stored in the memory 630 and cooperates with the communication interface 620 to perform some or all of the steps of the method of the above-described embodiments of the present application performed by the device 600 for preventing a living being from being left in a vehicle.
The communication interface 620 may be a wired interface (e.g., an ethernet interface) for communicating with other computing nodes or devices. When communication interface 620 is a wired interface, communication interface 620 may employ a Protocol family over TCP/IP, such as RAAS Protocol, Remote Function Call (RFC) Protocol, Simple Object Access Protocol (SOAP) Protocol, Simple Network Management Protocol (SNMP) Protocol, Common Object Request Broker Architecture (CORBA) Protocol, and distributed Protocol, among others.
Referring to fig. 7, the present application provides a schematic structural diagram of another apparatus for preventing a living being from being left in a vehicle, and the apparatus for preventing a living being from being left in a vehicle according to this embodiment may be implemented in a cloud service cluster 900, and at least includes: including at least one computing node 910 and at least one storage node 920. Wherein the content of the first and second substances,
the computing node 910 includes one or more processors 911, a communication interface 912, and a memory 913, which may be coupled via a bus 914 between the processors 911, the communication interface 912, and the memory 913.
The processor 911 includes one or more general-purpose processors for executing the determining module 501, the camera module 502, the identifying module 503 and the communication module 504 in fig. 5 by calling the program code in the memory 913. A general-purpose processor may be any type of device capable of Processing electronic instructions, including a Central Processing Unit (CPU), a microprocessor, a microcontroller, a main processor, a controller, an Application Specific Integrated Circuit (ASIC), and the like. It can be a dedicated processor for the compute node 910 only or can be shared with other compute nodes 910. The processor 911 reads the program code stored in the memory 913 and cooperates with the communication interface 912 to perform some or all of the steps of the method of the above-described embodiment of the present application for preventing a living being from being executed by a device left in a vehicle.
The communication interface 912 may be a wired interface (e.g., an ethernet interface) for communicating with other computing nodes or users. When communication interface 912 is a wired interface, communication interface 912 may employ a Protocol family over TCP/IP, such as RAAS Protocol, Remote Function Call (RFC) Protocol, Simple Object Access Protocol (SOAP) Protocol, Simple Network Management Protocol (SNMP) Protocol, Common Object Request Broker Architecture (CORBA) Protocol, and distributed Protocol, among others.
The Memory 913 may include a Volatile Memory (Volatile Memory), such as a Random Access Memory (RAM); the Memory may also include a Non-Volatile Memory (Non-Volatile Memory), such as a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a Hard Disk Drive (HDD), or a Solid-State Drive (SSD) Memory, which may also include a combination of the above types of memories.
The storage node 920 includes one or more storage controllers 921, storage arrays 922. The memory controller 921 and the memory array 922 may be connected by a bus 923.
Embodiments of the present application also provide a computer-readable storage medium, in which a computer program is stored, where the computer program is executed by hardware (for example, a processor, etc.) to implement part or all of steps of any one of the methods in the embodiments of the present application, where the method is performed by a device that prevents a living being from being left in a vehicle.
Embodiments of the present application also provide a computer program product, which when read and executed by a computer, causes the tracker to perform some or all of the steps of the method for preventing a living being from being left in a vehicle in embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented, in whole or in part, by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, storage Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk, SSD)), among others. In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially or partially contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
- A method of preventing a living being from being left in a vehicle, the method being applied to a tracker of the vehicle, comprising:when the door and the window of the vehicle are both in a locked state, acquiring a detection value of a pressure sensor under the seat, and judging whether the detection value is greater than or equal to a threshold value;taking a picture of the environment in the vehicle to obtain a picture under the condition that the detection value is judged to be greater than or equal to the threshold value;identifying the photo to obtain an identification result;and sending a reminding message containing the identification result to a terminal under the condition that the identification result indicates that a living body exists in the vehicle.
- The method of claim 1, wherein the identifying the photograph comprises:inputting the picture into a neural network recognition model for recognition;the neural network recognition model is obtained by training in advance based on a plurality of photos in a training set, wherein each photo in the training set comprises a label, and the label is used for indicating whether the life body exists in the photos in the training set.
- The method according to claim 1, wherein after sending a reminder message containing the identification result to a terminal in the case that the identification result indicates that a living body exists in the vehicle, the method further comprises:and receiving a windowing instruction and/or a door opening instruction sent by the terminal, and operating according to the windowing instruction and/or the door opening instruction.
- The method according to claim 3, wherein before receiving the windowing instruction and/or the door opening instruction sent by the terminal, the method further comprises:receiving a video connection instruction sent by the terminal;and starting a camera in the vehicle to realize video connection with the terminal so as to further confirm the condition of the living body in the vehicle.
- The method of claim 4, further comprising:receiving a photographing instruction sent by the terminal;and sending the photo to the terminal so as to further confirm the condition of the life body in the vehicle.
- An apparatus for preventing a living being from being left in a vehicle, the apparatus being applied to a tracker of the vehicle, comprising:the judging module is used for acquiring the detection value of the pressure sensor under the seat when the door and the window of the vehicle are both in a locking state, and judging whether the detection value is greater than or equal to a threshold value;the camera module is used for photographing the environment in the vehicle of the vehicle to obtain a photo under the condition that the detection value is judged to be larger than or equal to the threshold value;the recognition module is used for recognizing the photo to obtain a recognition result;and the communication module is used for sending a reminding message containing the identification result to the terminal under the condition that the identification result indicates that the living body exists in the vehicle.
- The apparatus of claim 6, wherein the identification module is specifically configured to:inputting the picture into a neural network recognition model for recognition;the neural network recognition model is obtained by training in advance based on a plurality of photos in a training set, wherein each photo in the training set comprises a label, and the label is used for indicating whether the life body exists in the photos in the training set.
- The apparatus according to claim 6, wherein, in the case where the recognition result indicates the presence of the living body in the vehicle, after sending a warning message containing the recognition result to a terminal,the communication module is further used for receiving the window opening instruction and/or the door opening instruction sent by the terminal and operating according to the window opening instruction and/or the door opening instruction.
- The device according to claim 8, wherein before receiving the windowing command and/or the door opening command sent by the terminal,the communication module is further used for receiving a video connection instruction sent by the terminal;the camera module is also used for starting a camera in the vehicle to realize video connection with the terminal so as to further confirm the condition of the life body in the vehicle.
- The apparatus of claim 9,the communication module is also used for receiving a photographing instruction sent by the terminal; and sending the photo to the terminal so as to further confirm the condition of the life body in the vehicle.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2019/121343 WO2021102755A1 (en) | 2019-11-27 | 2019-11-27 | Method and device for preventing living body from being left in vehicle |
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| CN114846773A true CN114846773A (en) | 2022-08-02 |
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| WO (1) | WO2021102755A1 (en) |
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