CN115457750A - Riding safety prompting method and device, terminal equipment and storage medium - Google Patents
Riding safety prompting method and device, terminal equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a riding safety prompting method, a riding safety prompting device, terminal equipment and a storage medium, wherein the method comprises the following steps: detecting sound information in a target vehicle, and determining a first confidence coefficient according to the sound information; acquiring location information of a navigation destination, and determining a second confidence according to the location information; acquiring time information, and determining a third confidence coefficient according to the time information; determining a target result according to the first confidence degree, the second confidence degree and the third confidence degree; and if the target result represents that children exist in the target vehicle, outputting prompt information, wherein the prompt information is used for prompting that the children of the target vehicle are locked. By implementing the embodiment, the user can be reminded to lock the child, and the safety of the child in a car is improved.
Description
Technical Field
The present disclosure relates to the field of vehicle safety technologies, and in particular, to a vehicle safety prompting method, a vehicle safety prompting device, a terminal device, and a storage medium.
Background
With the development of society and the improvement of living standard of people, vehicles become important transportation tools for people to go out. When the vehicle is driven to go out with children, the user can unlock the child lock of the vehicle to avoid accidents caused by the fact that the children mistakenly open the vehicle door when the vehicle runs at a high speed.
At present, most vehicles are provided with child locks, and the child locks are arranged on door locks of the vehicles, however, when a user drives the vehicle and takes a child out, the child locks of the vehicles are often forgotten to be locked, so that the child locks cannot play a role in protection, and potential safety hazards are caused.
Disclosure of Invention
The embodiment of the application discloses a riding safety prompting method and device, terminal equipment and a storage medium, which can remind a user to lock a child and improve riding safety of the child.
The embodiment of the application discloses a riding safety prompting method, which is applied to terminal equipment and comprises the following steps:
detecting sound information in a target vehicle, and determining a first confidence coefficient according to the sound information;
acquiring location information of a navigation destination, and determining a second confidence coefficient according to the location information;
acquiring time information, and determining a third confidence coefficient according to the time information;
wherein the first confidence level, the second confidence level, and the third confidence level are confidence levels of the presence of a child within the target vehicle;
determining a target result according to the first confidence degree, the second confidence degree and the third confidence degree;
and if the target result represents that children exist in the target vehicle, outputting prompt information, wherein the prompt information is used for prompting that the children of the target vehicle are locked.
In one embodiment, the terminal device stores a plurality of voiceprint models and voiceprint identifiers corresponding to the voiceprint models in an associated manner, wherein the voiceprint identifiers include adult identifiers or child identifiers;
the determining a first confidence level according to the sound information includes:
extracting at least one voiceprint feature in the sound information;
comparing the target voiceprint features with each voiceprint model to obtain the similarity between the target voiceprint features and each voiceprint model; wherein the target voiceprint feature is any one of the at least one voiceprint feature;
determining a target voiceprint model with similarity to the target voiceprint characteristics larger than a similarity threshold in each voiceprint model;
determining a voiceprint identifier corresponding to the target voiceprint feature according to the target voiceprint model;
determining a first characteristic result according to the voiceprint identifier corresponding to each voiceprint characteristic;
and if the first characteristic result represents that children exist in the target vehicle, determining a first confidence degree corresponding to the first characteristic result.
In one embodiment, the terminal device stores a plurality of preset places and child matching degrees corresponding to the preset places in an associated manner, wherein the child matching degrees are used for representing the possibility that children exist in a vehicle going to the preset places;
the determining a second confidence level according to the location information includes:
determining a target preset place corresponding to the place information in each preset place;
and if the matching degree of the children corresponding to the target preset place is larger than the threshold value of the matching degree, determining that the second characteristic result is that the children exist in the target vehicle, and determining a second confidence degree corresponding to the second characteristic result.
In one embodiment, the time information includes a current date and a current time, and the determining a third confidence level from the time information includes:
acquiring at least one preset date segment and a preset time segment corresponding to each preset date segment;
if the current date is within a target date field of the at least one preset date field, determining that a third characteristic result is that children exist in the target vehicle when the current time is within a preset time period corresponding to the target date field, and determining a third confidence corresponding to the third characteristic result.
In one embodiment, the determining a target result according to the first confidence level, the second confidence level, and the third confidence level includes:
performing weighted calculation on the first confidence coefficient, the second confidence coefficient and the third confidence coefficient to obtain a target confidence coefficient;
and if the target confidence is greater than a preset confidence threshold, determining that a target result is that children exist in the target vehicle.
In one embodiment, the outputting a prompt if the target result indicates that a child is present in the target vehicle includes:
if the target result represents that children exist in the target vehicle, navigation information is obtained, wherein the navigation information comprises a target distance between the current position information and the place information and the navigation voice broadcast information;
if the change speed of the target distance is larger than a speed threshold value, determining that the target vehicle is in a running state, and outputting prompt information; and/or the presence of a gas in the gas,
and if the navigation voice broadcast information is detected to be output, determining that the target vehicle is in the running state, and outputting prompt information.
In one embodiment, prior to the detecting the acoustic information within the target vehicle, the method further comprises:
acquiring the volume of the surrounding environment through a decibel meter of the terminal equipment;
and if the volume of the surrounding environment is smaller than a volume threshold value, determining that the terminal equipment enters a target vehicle, and executing a step of detecting sound information in the target vehicle.
The embodiment of the application discloses safety prompt device by bus is applied to terminal equipment, the device includes:
the first confidence coefficient determining module is used for detecting sound information in the target vehicle and determining a first confidence coefficient according to the sound information;
the second confidence coefficient determining module is used for acquiring the location information of the navigation destination and determining a second confidence coefficient according to the location information;
the third confidence coefficient determining module is used for acquiring time information and determining a third confidence coefficient according to the time information;
wherein the first confidence level, the second confidence level, and the third confidence level are confidence levels of the presence of a child within the target vehicle;
a target result determining module, configured to determine a target result according to the first confidence, the second confidence and the third confidence;
and the prompt information output module is used for outputting prompt information if the target result represents that children exist in the target vehicle.
In one embodiment, the terminal device stores a plurality of voiceprint models and voiceprint identifiers corresponding to the voiceprint models in an associated manner, wherein the voiceprint identifiers include adult identifiers or child identifiers;
the first confidence coefficient determining module is further configured to extract at least one voiceprint feature in the sound information; comparing the target voiceprint characteristics with each voiceprint model to obtain the similarity of the target voiceprint characteristics with each voiceprint model; wherein the target voiceprint feature is any one of the at least one voiceprint feature; determining a target voiceprint model with similarity to the target voiceprint characteristics larger than a similarity threshold in each voiceprint model; determining a voiceprint identifier corresponding to the target voiceprint feature according to the target voiceprint model; determining a first characteristic result according to the voiceprint identifier corresponding to each voiceprint characteristic; and if the first characteristic result represents that children exist in the target vehicle, determining a first confidence degree corresponding to the first characteristic result.
In one embodiment, the terminal device stores a plurality of preset places and child matching degrees corresponding to the preset places in an associated manner, wherein the child matching degrees are used for representing the possibility that children exist in a vehicle going to the preset places;
the second confidence determining module is further configured to determine a target preset location corresponding to the location information in each preset location; and if the matching degree of the children corresponding to the target preset place is larger than the threshold value of the matching degree, determining that the second characteristic result is that the children exist in the target vehicle, and determining a second confidence degree corresponding to the second characteristic result.
In an embodiment, the time information includes a current date and a current time, and the third confidence level determining module is further configured to obtain at least one preset date segment and a preset time segment corresponding to each preset date segment; if the current date is within a target date field of the at least one preset date field, determining that a third characteristic result is that children exist in the target vehicle when the current time is within a preset time period corresponding to the target date field, and determining a third confidence corresponding to the third characteristic result.
In an embodiment, the target result determining module is further configured to perform weighted calculation on the first confidence level, the second confidence level, and the third confidence level to obtain a target confidence level;
and if the target confidence coefficient is greater than a preset confidence coefficient threshold value, determining that a target result is that children exist in the target vehicle.
In one embodiment, the prompt information output module is further configured to obtain navigation information if the target result indicates that a child is present in the target vehicle, where the navigation information includes a target distance between the current position information and the location information and the navigation voice broadcast information; if the change speed of the target distance is larger than a speed threshold value, determining that the target vehicle is in a running state, and outputting prompt information; and/or if the navigation voice broadcast information is detected to be output, determining that the target vehicle is in the running state, and outputting prompt information.
In one embodiment, the first confidence module is further configured to obtain ambient volume; and if the volume of the surrounding environment is smaller than a volume threshold value, determining that the terminal equipment enters a target vehicle, and executing the step of detecting the sound information in the target vehicle.
The embodiment of the application discloses a terminal device, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method of any of the above embodiments.
The embodiment of the application discloses a computer-readable storage medium, which stores a computer program, wherein the computer program, when executed by a processor, causes the processor to execute the method of any one of the above embodiments.
Through the riding safety prompting method, the device, the terminal device and the storage medium disclosed by the embodiment of the application, the terminal device can detect sound information in a target vehicle, determine a first confidence coefficient according to the sound information, then acquire location information of a navigation destination, determine a second confidence coefficient according to the location information, and also acquire time information, and determine a third confidence coefficient according to the time information, the terminal device determines a target result according to the first confidence coefficient, the second confidence coefficient and the third confidence coefficient, if the target result represents that children exist in the target vehicle, prompt information is output, the terminal device determines the confidence coefficients respectively according to the sound information, the location information and the time information, and then determines the target result through the first confidence coefficient, the second confidence coefficient and the third confidence coefficient, so that the accuracy of the target result can be improved, and a user is reminded to lock the children when the target result represents that children exist in the target vehicle, and the riding safety of the children is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a riding safety prompting method disclosed in an embodiment of the present application;
fig. 2 is a schematic flow chart of a riding safety prompting method disclosed in the embodiment of the present application;
FIG. 3 is a schematic flow chart of determining a first confidence level according to sound information, disclosed in an embodiment of the present application;
fig. 4 is a schematic flow chart of another riding safety prompting method disclosed in the embodiment of the present application;
FIG. 5 is a schematic view of a vehicle ride safety warning device according to an embodiment of the disclosure;
fig. 6 is a block diagram of a terminal device according to an embodiment of the present disclosure.
Detailed Description
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 application, and 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 should be noted that the terms "comprises" and "comprising," and any variations thereof, in the embodiments of the present application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first confidence level may be referred to as a second confidence level, and similarly, a second confidence level may be referred to as a first confidence level, without departing from the scope of the present application.
The first confidence and the second confidence are both confidences, but they are not the same confidence.
The embodiment of the application discloses a riding safety prompting method and device, terminal equipment and a storage medium, which can remind a user to lock a child and improve riding safety of the child.
The following detailed description is made with reference to the accompanying drawings.
As shown in fig. 1, fig. 1 is a schematic view of an application scenario of a riding safety prompting method disclosed in an embodiment of the present application, where the application scenario includes a terminal device 10 and a target vehicle 20, where the terminal device 10 may include, but is not limited to, a mobile phone, a tablet computer, a wearable device, a notebook computer, a vehicle-mounted terminal, and the like. In addition, the operating system of the terminal device 10 may include, but is not limited to, an Android operating system, an IOS operating system, a Symbian operating system, a Black Berry operating system, a Windows Phone8 operating system, and the like, and the embodiment of the present application is not limited thereto. The terminal device 10 may be fixed in the target vehicle 20, such as a vehicle-mounted terminal, or may be carried by a user, such as a mobile phone, without limitation.
In one embodiment, the terminal device 10 may detect sound information in the target vehicle 20, determine a first confidence level according to the sound information, then acquire location information of a navigation destination, determine a second confidence level according to the location information, further acquire time information, and determine a third confidence level according to the time information, where the first confidence level, the second confidence level, and the third confidence level are confidence levels of children existing in the target vehicle 20, the terminal device 10 determines a target result according to the first confidence level, the second confidence level, and the third confidence level, and outputs prompt information for prompting that the children of the target vehicle 20 are locked if the target result indicates that the children exist in the target vehicle 20.
As shown in fig. 2, fig. 2 is a schematic flow chart of a riding safety prompting method disclosed in an embodiment of the present application, where the riding safety prompting method can be applied to the terminal device of the embodiment, and the riding safety prompting method can include the following steps:
The terminal device can be a terminal device fixed in the target vehicle, and then sound information in the target vehicle can be detected in real time. Optionally, the terminal device may also be a terminal device carried by a user, and the terminal device may determine whether the vehicle is in the target vehicle, and the terminal device may detect the sound information in the target vehicle only when the vehicle is determined to be in the target vehicle.
The sound information may be detected by the terminal device through a sound recorder of the terminal device, or detected by a sound recorder provided inside the target vehicle, and the target vehicle sends the detected sound information to the terminal device, where the sound recorder may be an electronic component or an electronic device having a sound recording function. After the terminal device detects the sound information in the target vehicle, the sound information can be filtered to remove the interference information in the sound information. The terminal device may determine whether sound information of a child exists in the sound information in the target vehicle, so as to obtain a first confidence level, where the first confidence level is a confidence level that the child exists in the target vehicle, and optionally, the terminal device may also calculate the confidence level that the child does not exist in the target vehicle.
As an alternative implementation, the terminal device may detect face information in the target vehicle, and determine the first confidence level according to the face information. The terminal equipment sends a detection instruction to a target vehicle, the target vehicle shoots a face image containing a face through a camera arranged in the target vehicle and sends the face image to the terminal equipment, and the terminal equipment can detect face information in the face image and determine a first confidence coefficient according to the face information. Optionally, the terminal device may detect face information and sound information in the target vehicle, and determine the first confidence level according to the face information and the sound information, and the terminal device may also detect other biological information in the target vehicle, and determine the first confidence level according to the face information, the sound information, and the other biological information, which is not limited herein. By implementing the embodiment, the terminal device can determine the first confidence degree through the face information or other biological information, so that the diversity of the method for determining the first confidence degree is improved, and the accuracy of the first confidence degree is improved.
In one embodiment, the terminal device may determine a first feature result corresponding to the sound information, and determine a first confidence corresponding to the first feature result if it is determined that the first feature result indicates that a child is present in the target vehicle. Wherein the first characteristic result is used for indicating whether a child is present in the target vehicle. Since the first confidence level is the confidence level of the child existing in the target vehicle, when the first feature result represents that the child does not exist in the target vehicle, the first confidence level may be set to 0, or the first confidence level is not calculated, and in the subsequent step 240, the target result is determined only by using the other confidence levels.
A user typically starts a navigation function of a target vehicle or a terminal device while driving, and the user needs to input a navigation destination while using the navigation function. Therefore, the terminal device may obtain the location information of the navigation destination, and determine a second confidence level according to the location information, where the second confidence level may be a confidence level that a child exists in the target vehicle. Optionally, the terminal device may further obtain the current location information, and determine the second confidence level according to the current location information and the location information of the navigation destination, for example, the terminal device may obtain that the current location information is a house and the navigation destination is a school, and then determine the confidence level of the user who goes to the school from the house and includes the child, that is, determine the second confidence level according to the current location information and the location information of the navigation destination.
Optionally, the location information may be a name of a location, such as xx school and xx market, the location information may also be a category of the location, such as a house, a market, a school, and the like, and the location information may also be a longitude and latitude of the location, which is not limited herein.
In one embodiment, the terminal device may store a plurality of preset locations and child matching degrees corresponding to the preset locations in an associated manner, where the child matching degrees are used to represent the possibility that a child exists in a vehicle heading for the preset locations. The step of determining a second confidence level according to the location information may include: determining a target preset place corresponding to the place information in each preset place; and if the matching degree of the children corresponding to the target preset location is larger than the matching degree threshold value, determining that the second characteristic result is that the children exist in the target vehicle, and determining a second confidence coefficient corresponding to the second characteristic result.
The preset location may include a name of the location, such as xx school and xx market, the preset location may also include a category of the location, such as a house, a market, a school, and the like, and the preset location may also include a longitude and a latitude of the location, which is not limited thereto. The terminal device may determine the target preset location corresponding to the location information in a method corresponding to the type according to the location information and the type of the preset location.
Optionally, when the location information and the preset location are names of locations, the terminal device may determine, in the names of the preset locations, a preset location that is the same as the name of the location information, and use the preset location that is the same as the name of the location information as a target preset location, for example, if the location information is "xx first primary school", it may determine whether "xx first primary school" exists in the names of the preset locations.
Alternatively, when the location information and the preset location are both types of locations, the terminal device may determine a preset location that is the same as the type of the location information in the types of the preset locations, and use the preset location that is the same as the type of the location information as a target preset location, for example, the preset location includes a school, a mall, an amusement park, and a house, and if the location information is a school, it may determine that the target preset location is also a school.
Alternatively, when the location information and the preset location are both longitude and latitude of the location, the terminal device may determine the distance between the location information and each preset location according to the longitude and latitude of the location information and the longitude and latitude of each preset point, so as to determine the target preset location according to the distance between the location information and each preset location. The terminal device may use a preset location closest to the location information as a target preset location, or use a preset location whose distance to the location information is smaller than a distance threshold as a target preset location. For example, 3 preset locations a, B, and C are stored in the terminal device, the distance between the location information and the preset location a is 20m (meter ), the distance between the location information and the preset location B is 45m, and the distance between the location information and the preset location C is 800m, so that the terminal device may use the preset location a closest to the distance between the location information as the target preset location, or use the preset location a and the preset location B whose distance between the location information is less than a distance threshold value of 50m as the target preset location. The target preset location may include one or more.
The terminal equipment obtains the matching degree of the children corresponding to the target preset place from the stored matching degrees of the children corresponding to the preset places, and compares the matching degree of the children corresponding to the target preset place with the threshold value of the matching degree, so that a second characterization result is determined, and the second characterization result is used for characterizing whether the children exist in the target vehicle or not. If the matching degree of the child corresponding to the target preset location is greater than the threshold matching degree, it may be determined that the second characterization result is that the child exists in the target vehicle, for example, the matching degree of the child corresponding to the target preset location is 80%, which indicates that the probability that the child exists in the target vehicle heading to the target preset location is 80%, the threshold matching degree may be 75%, and 80% is greater than 75%, and it is determined that the child exists in the target vehicle. Optionally, if there are multiple target preset locations, when the matching degree of the child corresponding to any target preset location is greater than the threshold value of the matching degree, it may be determined that the second characterization result indicates that the child exists in the target vehicle
The terminal device may determine a second confidence degree corresponding to the second feature result when the second feature result represents that the child is present in the target vehicle. The second confidence coefficient may be a preset fixed value, or a value determined from a plurality of preset fixed values according to the matching degree of the child, or may be determined adaptively according to the matching degree of the child, which is not limited herein.
By implementing the embodiment, the terminal device can store a plurality of preset places and the matching degree of children corresponding to each preset place in a correlated manner, determine the target preset place corresponding to the place information from the plurality of preset places, determine that the second characteristic result is that children exist in the target vehicle when the matching degree of the children corresponding to the target preset place is greater than the threshold value of the matching degree, and then determine the second confidence degree corresponding to the second characteristic result, so that the accuracy of the second confidence degree can be further improved by improving the accuracy of the second characteristic result.
Since the travel of children is relatively fixed, the time for riding the vehicle is usually in a fixed time period, such as the time period for getting on and off school. Therefore, the terminal device may obtain the current time information, and determine a third confidence level according to the time information, where the third confidence level may be a confidence level that a child is present in the target vehicle.
In one embodiment, the time information may include a current date and a current time, and the step of determining the third confidence level based on the time information may include: acquiring at least one preset date segment and preset time segments corresponding to the preset date segments; and if the current date is in a target date field of at least one preset date field, determining that the third characteristic result is that children exist in the target vehicle and determining a third confidence coefficient corresponding to the third characteristic result when the current time is in a preset time period corresponding to the target date field.
The terminal device may obtain at least one preset date segment and a preset time period corresponding to each preset date segment from the local database, may also obtain at least one preset date segment and a preset time period corresponding to each preset date segment from the internet big data, and may also obtain at least one preset date segment input by the user and a preset time period corresponding to each preset date segment, which is not limited to this.
The time information may include a current date including a current month and day, e.g., 1 month and 1 day, and a current time including a current hour and minute and second, e.g., 16 hours and 20 minutes and 59 seconds, and the preset date period may include a date between an initial date and an end date, e.g., the preset date period may include a date between 1 month and 1 day 7 months, and the preset time period may include a time between the initial time and the end time, e.g., the preset time period may include a time between 15 hours and 59 minutes and 59 seconds 16 hours and 59 minutes and 59 seconds. Each preset date segment may correspond to a plurality of preset time periods, for example, the preset date segments may be dates between 1 month and 1 day of 7 months, the corresponding preset time periods may be a time between 15 hours 59 minutes and 59 seconds to 16 hours 59 minutes and 59 seconds to 19 hours 59 minutes and 59 seconds to 18 hours, the preset date segments may be dates between 8 months and 1 day of 10 months, and the corresponding preset time periods may be a time between 15 hours 59 minutes and 59 seconds to 16 hours 59 minutes and 59 seconds to 20 hours 59 minutes and 59 seconds.
The terminal device may determine whether the current date is in any one of the at least one preset date segment, if the current date is in a target date segment of the at least one preset date segment, obtain a preset time period corresponding to the target date segment, then determine whether the current time is in the preset time period corresponding to the target date segment, and when the current time is in the preset time period corresponding to the target date segment, determine that the third characteristic result is that a child is present in the target vehicle, and the terminal device may determine a third confidence coefficient corresponding to the third characteristic result, where the third confidence coefficient may be a preset fixed value, or may be determined according to a relationship between the current time and the preset time period corresponding to the target date segment, and is not limited. When the current date is not in any preset date segment or when the current time is in a preset time segment corresponding to the target date segment, it is determined that the third characteristic result is that no child exists in the target vehicle, the terminal device may set the third confidence coefficient to 0, or may not calculate the third confidence coefficient, and in the subsequent step 240, the target result is determined only by using other confidence coefficients.
By implementing the embodiment, if the current date is in the target date field of the at least one preset date field, the terminal device may determine that the third feature result is that a child exists in the target vehicle and determine that the third feature result corresponds to the third confidence coefficient when the current time is in the preset time period corresponding to the target date field, and may further improve the accuracy of the third confidence coefficient by improving the accuracy of the third feature result.
And 240, determining a target result according to the first confidence degree, the second confidence degree and the third confidence degree.
When the terminal device may determine the first confidence degree from the sound information, the second confidence degree from the location information, and the third confidence degree from the time information, the terminal device may determine the target result from the first confidence degree, the second confidence degree, and the third confidence degree.
Optionally, the terminal device may determine the target result according to one or more of the first confidence level, the second confidence level, and the third confidence level. When the information for determining that no child exists in the target vehicle exists in the sound information, the location information and the time information, the information for determining that the child exists in the target vehicle in the sound information, the location information and the time information is selected as the target information, and the terminal device can determine a target result according to the confidence corresponding to the target information. For example, the terminal device may determine that no child exists in the target vehicle according to the sound information, may determine that a child exists in the target vehicle according to the location information, where the location information corresponds to the second confidence level, may determine that a child exists in the target vehicle according to the time information, where the time information corresponds to the third confidence level, and then the terminal device may determine the target result according to the second confidence level and the third confidence level.
In one embodiment, the terminal device may perform weighted calculation on the first confidence level, the second confidence level, and the third confidence level to obtain a target confidence level; and if the target confidence coefficient is greater than a preset confidence coefficient threshold value, determining that the target result is that children exist in the target vehicle.
The first confidence may correspond to a first weight, the second confidence may correspond to a second weight, and the third confidence may correspond to a third weight, where the first weight, the second weight, and the third weight may be preset, or may be respectively and correspondingly determined according to a magnitude of the first confidence, a magnitude of the second confidence, and a magnitude of the third confidence.
The terminal device may perform weighted calculation on the first confidence level, the second confidence level, and the third confidence level to obtain a target confidence level, for example, if the first confidence level may be 80, the second confidence level may be 60, and the third confidence level may be 60, where the first confidence level corresponds to a first weight of 90%, the second confidence level corresponds to a second weight of 5%, and the third confidence level corresponds to a weight of 5%, the target confidence level obtained through the weighted calculation is 78. The terminal device may compare the target confidence with a preset confidence threshold, and when the target confidence is greater than the preset confidence threshold, determine that the target result is that a child is present in the target vehicle, for example, if the target confidence is 78 and the preset confidence threshold is 75, the target confidence is greater than the preset confidence threshold, and determine that the target result is that a child is present in the target vehicle.
By implementing the embodiment, the terminal device may perform weighted calculation on the first confidence level, the second confidence level, and the third confidence level to obtain the target confidence level, and when the target confidence level is greater than a preset confidence level threshold, determine that the target result is that a child is present in the target vehicle, and determine the target result by combining the target confidence levels obtained by the first confidence level, the second confidence level, and the third confidence level, so that the accuracy of the target result can be improved.
And step 250, if the target result indicates that children exist in the target vehicle, outputting prompt information, wherein the prompt information is used for prompting that the children of the target vehicle are locked.
If the target result represents that children exist in the target vehicle, the terminal device can output prompt information to prompt a user to lock the children of the target vehicle. The output mode of the prompt message is not limited, the prompt message may include but not limited to voice message, vibration message, light message, and the like, and the prompt message may be output by the terminal device, or may be output by the terminal device after being sent to the target vehicle.
In the embodiment of the application, the terminal device can detect sound information in a target vehicle, determine a first confidence level according to the sound information, then acquire location information of a navigation destination, determine a second confidence level according to the location information, further acquire time information, and determine a third confidence level according to the time information, the terminal device determines a target result according to the first confidence level, the second confidence level and the third confidence level, if the target result represents that a child exists in the target vehicle, prompt information is output, the terminal device determines the confidence levels according to the sound information, the location information and the time information, and determines the target result according to the first confidence level, the second confidence level and the third confidence level, so that the accuracy of the target result can be improved, and when the target result represents that the child exists in the target vehicle, the terminal device can remind a user of locking the child, and the safety of taking the child is improved.
As shown in fig. 3, fig. 3 is a schematic flowchart of determining a first confidence level according to sound information, which includes:
The target vehicle is usually carried by a plurality of users, and the acquired sound information includes sound information of the plurality of users. The terminal equipment can extract at least one voiceprint feature in the voice information, and each voiceprint feature is in one-to-one correspondence with each user.
The terminal device may store a plurality of voiceprint models and voiceprint identifiers corresponding to the voiceprint models in an associated manner, where the voiceprint identifiers include adult identifiers or child identifiers, the plurality of voiceprint models may include adult identifiers corresponding to a plurality of adult identifiers, or may include adult identifiers corresponding to a plurality of child identifiers, but each voiceprint model is different, for example, there are 4 voiceprint models, the first voiceprint model may correspond to an adult identifier, the second voiceprint model may also correspond to an adult identifier, but the first voiceprint model and the second voiceprint model are different, the third voiceprint model may correspond to a child identifier, the fourth voiceprint model may also correspond to a child identifier, but the third voiceprint model and the fourth voiceprint model are different.
The terminal device can select any voiceprint feature of the at least one voiceprint feature as a target voiceprint feature, and compare the target voiceprint feature with each voiceprint model to obtain the similarity between the first voiceprint model and each voiceprint model. Each voiceprint model may be pre-entered by a common user of the target vehicle, or may be obtained through training, which is not limited to this.
The terminal device can select a target voiceprint model with the similarity greater than the similarity threshold value with the target voiceprint characteristics from each voiceprint model according to the similarity between each voiceprint model and the target voiceprint characteristics. The similarity threshold is data obtained through multiple experiments, and is preset in the terminal device.
And step 340, determining the voiceprint identifier corresponding to the target voiceprint characteristic according to the target voiceprint model.
The terminal device may determine a voiceprint identifier corresponding to the target voiceprint feature according to the target voiceprint model, where the target voiceprint model may include one or more voiceprint identifiers.
When the target voiceprint model is one, the terminal device may use the voiceprint identifier corresponding to the target voiceprint model as the voiceprint identifier corresponding to the target voiceprint feature, for example, the voiceprint identifier corresponding to the target voiceprint model is a child identifier, and then the child identifier may be used as the voiceprint identifier corresponding to the target voiceprint feature. When a plurality of target voiceprint models are available, the terminal device can determine the voiceprint identifier corresponding to the target voiceprint feature according to the similarity between each target voiceprint model and the target voiceprint feature. Optionally, the terminal device may select the largest similarity among the similarities of the target voiceprint models and the target voiceprint features, and use the voiceprint identifier corresponding to the target voiceprint model corresponding to the largest similarity as the voiceprint identifier corresponding to the target voiceprint features, for example, the similarity between the first target voiceprint model and the target voiceprint features is 80%, the similarity between the second target voiceprint model and the target voiceprint features is 98%, the voiceprint identifier corresponding to the first target voiceprint model is an adult identifier, the voiceprint identifier corresponding to the second target voiceprint model is a child identifier, and since 98% is greater than 80%, the child identifier corresponding to the second target voiceprint model may be used as the voiceprint identifier corresponding to the target voiceprint features.
And step 350, determining a first characteristic result according to the voiceprint identifier corresponding to each voiceprint characteristic.
Wherein the first characteristic result is used for representing whether a child exists in the target vehicle. After the terminal device determines the voiceprint identifiers corresponding to the voiceprint features, the terminal device can judge whether child identifiers exist in the voiceprint identifiers corresponding to the voiceprint features, if yes, it is determined that the first feature result is that children exist in the target vehicle, and if not, it is determined that the first feature result is that children do not exist in the target vehicle.
In step 360, if the first feature result indicates that a child is present in the target vehicle, a first confidence corresponding to the first feature result is determined.
The terminal device may determine the first confidence corresponding to the first feature result when the first feature result represents that a child is present in the target vehicle, where the third confidence may be a fixed value set in advance, or may be determined according to a matching degree between a voiceprint feature corresponding to the child identifier and the target voiceprint model, which is not limited to this. If the first feature result indicates that no child is present in the target vehicle, the terminal device may set the third confidence level to 0, or may not calculate the third confidence level, and in step 240 of the foregoing embodiment, only use other confidence levels to determine the target result.
In this embodiment, the terminal device may select any voiceprint feature of the at least one voiceprint feature as a target voiceprint feature, compare the target voiceprint feature with each voiceprint model to obtain a similarity between the target voiceprint feature and each voiceprint model, determine, in each voiceprint model, a target voiceprint model whose similarity with the target voiceprint feature is greater than a similarity threshold, and may use a voiceprint identifier corresponding to the target voiceprint model as a voiceprint identifier corresponding to the target voiceprint feature. The terminal device can obtain the voiceprint identification corresponding to each voiceprint characteristic of at least one voiceprint characteristic, then determines a first characteristic result according to the voiceprint identification corresponding to each voiceprint characteristic, determines a first confidence corresponding to the first characteristic result when the first characteristic result represents that children exist in the target vehicle, and can further improve the accuracy of the third confidence by improving the accuracy of the third characteristic result.
As shown in fig. 4, fig. 4 is a schematic flow chart of another riding safety prompting method disclosed in the embodiment of the present application, where the riding safety prompting method may be applied to the terminal device in the foregoing embodiment, and the riding safety prompting method may include the following steps:
Optionally, the terminal device may obtain the ambient volume through the decibel meter at the first time frequency, for example, the terminal device obtains the ambient volume every 2s (second). The terminal device may also acquire the volume of the surrounding environment through a decibel meter of the terminal device when detecting the volume acquisition operation, where the volume acquisition operation may include, but is not limited to, a touch operation, a voice operation, a gesture operation, and the like, which is not limited thereto.
The terminal device can judge whether the volume of the surrounding environment is smaller than a volume threshold value or not, and when the volume of the surrounding environment is smaller than the volume threshold value, the terminal device is determined to enter the target vehicle, then sound information in the target vehicle is detected, and the first confidence coefficient is determined according to the sound information. Optionally, the terminal device may also detect a driving state of the current target vehicle, and when it is detected that the target vehicle is in the driving state, it may also be determined that the terminal device enters the target vehicle, and then sound information in the current target vehicle is detected.
And step 430, acquiring the location information of the navigation destination, and determining a second confidence coefficient according to the location information.
and step 450, determining a target result according to the first confidence degree, the second confidence degree and the third confidence degree.
The method of steps 430 to 450 can refer to the method of steps 220 to 240 in the above embodiment, and will not be described herein.
And step 460, if the target result represents that children exist in the target vehicle, acquiring navigation information, wherein the navigation information comprises a target distance between the current position information and the location information and navigation voice broadcast information.
The terminal device may acquire navigation information when the target result indicates that a child is present in the target vehicle, where the navigation information includes a target distance between the current position information and the location information and navigation voice including information. The navigation information may be of the terminal device in the navigation state, or may be acquired by the terminal device from the target vehicle in the navigation state. The navigation voice broadcast information included in the navigation information may be output by the terminal device, or may be detected by the terminal device in the sound information in the target vehicle, which is not limited to this.
The terminal device may continuously acquire the navigation information at the second time frequency and store the acquired navigation information in the database. The difference between two adjacent target distances acquired by the terminal device may be used to indicate a change speed of the target distance, for example, if the target distance acquired last time is 800m and the target distance acquired this time is 750m, the change speed of the target distance may be indicated by 50m each time, and when the change speed is greater than a speed threshold, it is determined that the target vehicle is in a driving state, and the terminal device may output a prompt message.
The terminal device can also acquire navigation voice broadcast information of the terminal device, when the terminal device is detected to output the navigation voice broadcast information, the target vehicle can be determined to be in a running state, the terminal device can output prompt information, the terminal device can also detect the navigation voice broadcast information from sound information in the target vehicle, when the navigation voice broadcast information exists in the sound in the target vehicle, the fact that other devices exist in the target vehicle and output the navigation voice broadcast information is indicated, the target vehicle can be determined to be in the running state, and the terminal device outputs the prompt information.
In the embodiment of the application, the terminal device can determine whether the terminal device is located in the target vehicle by detecting the volume of the surrounding environment, and detect the sound information in the target vehicle when the terminal device is determined to be located in the target vehicle, so that the power consumption of the terminal device is reduced.
As shown in fig. 5, fig. 5 is a schematic block diagram of a vehicle safety notification device disclosed in an embodiment of the present application, where the vehicle safety notification device 500 may include a first confidence level determining module 510, a second confidence level determining module 520, a third confidence level determining module 530, a target result determining module 540, and a notification information output module 550, where:
a first confidence level determining module 510, configured to detect sound information in the target vehicle, and determine a first confidence level according to the sound information;
a second confidence determining module 520, configured to obtain location information of the navigation destination, and determine a second confidence according to the location information;
a third confidence determining module 530, configured to obtain time information and determine a third confidence according to the time information;
wherein the first confidence level, the second confidence level and the third confidence level are confidence levels of children existing in the target vehicle;
a target result determining module 540, configured to determine a target result according to the first confidence, the second confidence and the third confidence;
and a prompt information output module 550, configured to output a prompt information if the target result indicates that a child is present in the target vehicle.
In one embodiment, the terminal device stores a plurality of voiceprint models and voiceprint identifications corresponding to the voiceprint models in an associated manner, wherein the voiceprint identifications comprise adult identifications or child identifications;
the first confidence level determining module 510 is further configured to extract at least one voiceprint feature in the sound information; comparing the target voiceprint characteristics with each voiceprint model to obtain the similarity of the target voiceprint characteristics and each voiceprint model; wherein the target voiceprint feature is any one of the at least one voiceprint feature; determining a target voiceprint model with similarity greater than a similarity threshold value with the target voiceprint characteristics in each voiceprint model; determining a voiceprint identifier corresponding to the target voiceprint characteristics according to the target voiceprint model; determining a first characteristic result according to the voiceprint identifier corresponding to each voiceprint characteristic; and if the first characteristic result represents that children exist in the target vehicle, determining a first confidence degree corresponding to the first characteristic result.
In one embodiment, the terminal device stores a plurality of preset places and child matching degrees corresponding to the preset places in an associated manner, wherein the child matching degrees are used for representing the possibility that children exist in a vehicle going to the preset places;
the second confidence determining module 520 is further configured to determine a target preset location corresponding to the location information in each preset location; and if the matching degree of the children corresponding to the target preset location is larger than the threshold value of the matching degree, determining that the second characteristic result is that the children exist in the target vehicle, and determining a second confidence corresponding to the second characteristic result.
In an embodiment, the time information includes a current date and a current time, and the third confidence determining module 530 is further configured to obtain at least one preset date segment and a preset time segment corresponding to each preset date segment; and if the current date is in a target date field of at least one preset date field, determining that the third characteristic result is that children exist in the target vehicle and determining a third confidence coefficient corresponding to the third characteristic result when the current time is in a preset time period corresponding to the target date field.
In an embodiment, the target result determining module 540 is further configured to perform weighted calculation on the first confidence level, the second confidence level, and the third confidence level to obtain a target confidence level;
and if the target confidence is greater than a preset confidence threshold, determining that the target result is that children exist in the target vehicle.
In one embodiment, the prompt information output module 550 is further configured to obtain navigation information if the target result indicates that a child is present in the target vehicle, where the navigation information includes a target distance between the current position information and the location information and navigation voice broadcast information; if the change speed of the target distance is greater than the speed threshold value, determining that the target vehicle is in a running state, and outputting prompt information; and/or if the navigation voice broadcast information is detected to be output, determining that the target vehicle is in a running state, and outputting prompt information.
In one embodiment, the first confidence module 510 is further configured to obtain the volume of the surrounding environment through a decibel meter of the terminal device; and if the volume of the surrounding environment is smaller than the volume threshold value, determining that the terminal equipment enters the target vehicle, and executing the step of detecting the sound information in the target vehicle.
In the embodiment of the application, the terminal device can detect sound information in a target vehicle, determine a first confidence level according to the sound information, acquire location information of a navigation destination, determine a second confidence level according to the location information, acquire time information, determine a third confidence level according to the time information, determine a target result according to the first confidence level, the second confidence level and the third confidence level, output prompt information if the target result indicates that children exist in the target vehicle, respectively determine the confidence levels through the sound information, the location information and the time information, determine the target result through the first confidence level, the second confidence level and the third confidence level, improve accuracy of the target result, remind a user of locking the children when the target result indicates that children exist in the target vehicle, and improve safety of taking the children.
As shown in fig. 6, in one embodiment, a terminal device is provided, which may include:
a memory 610 storing executable program code;
a processor 620 coupled to the memory 610;
the processor 620 calls the executable program code stored in the memory 610 to implement the ride safety notification method provided in the embodiments described above.
The Memory 610 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory 610 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 610 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like. The storage data area may also store data created by the terminal device in use, and the like.
It is understood that the terminal device may include more or less structural elements than those shown in the above structural block diagrams, for example, a power module, a physical button, a WiFi (Wireless Fidelity) module, a speaker, a bluetooth module, a sensor, etc., and is not limited herein.
The embodiment of the application discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute the method described in the embodiments.
In addition, the embodiment of the present application further discloses a computer program product, which when running on a computer, enables the computer to execute all or part of the steps of any one of the riding safety prompting methods described in the above embodiments.
It will be understood by those skilled in the art that all or part of the steps of the methods of the embodiments described above may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, including Read-Only Memory (ROM), random Access Memory (RAM), programmable Read-Only Memory (PROM), erasable Programmable Read-Only Memory (EPROM), one-time Programmable Read-Only Memory (OTPROM), electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM) or other Memory capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.
The riding safety prompting method, the riding safety prompting device, the riding safety prompting terminal device and the riding safety prompting storage medium disclosed in the embodiment of the application are introduced in detail, a specific example is applied to explain the principle and the implementation mode of the application, and the description of the embodiment is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A riding safety prompting method is applied to terminal equipment and comprises the following steps:
detecting sound information in a target vehicle, and determining a first confidence coefficient according to the sound information;
acquiring location information of a navigation destination, and determining a second confidence coefficient according to the location information;
acquiring time information, and determining a third confidence coefficient according to the time information;
wherein the first confidence level, the second confidence level, and the third confidence level are confidence levels of the presence of a child within the target vehicle;
determining a target result according to the first confidence coefficient, the second confidence coefficient and the third confidence coefficient;
and if the target result represents that children exist in the target vehicle, outputting prompt information, wherein the prompt information is used for prompting that the children of the target vehicle are locked.
2. The method according to claim 1, wherein the terminal device stores a plurality of voiceprint models and voiceprint identifiers corresponding to the voiceprint models, and the voiceprint identifiers comprise adult identifiers or child identifiers;
the determining a first confidence level according to the sound information includes:
extracting at least one voiceprint feature in the sound information;
comparing the target voiceprint characteristics with each voiceprint model to obtain the similarity of the target voiceprint characteristics with each voiceprint model; wherein the target voiceprint feature is any one of the at least one voiceprint feature;
determining a target voiceprint model with the similarity with the target voiceprint characteristics larger than a similarity threshold in each voiceprint model;
determining a voiceprint identifier corresponding to the target voiceprint feature according to the target voiceprint model;
determining a first characteristic result according to the voiceprint identifier corresponding to each voiceprint characteristic;
and if the first characteristic result represents that children exist in the target vehicle, determining a first confidence degree corresponding to the first characteristic result.
3. The method according to claim 1, characterized in that the terminal device stores a plurality of preset places and child matching degrees corresponding to the preset places in an associated manner, wherein the child matching degrees are used for representing the possibility that a child exists in a vehicle going to the preset places;
the determining a second confidence level according to the location information includes:
in each preset place, determining a target preset place corresponding to the place information;
if the matching degree of the children corresponding to the target preset location is larger than the threshold value of the matching degree, determining that a second characteristic result is that the children exist in the target vehicle, and determining a second confidence degree corresponding to the second characteristic result.
4. The method of claim 1, wherein the time information includes a current date and a current time, and wherein determining a third confidence level based on the time information comprises:
acquiring at least one preset date segment and a preset time segment corresponding to each preset date segment;
if the current date is within a target date field of the at least one preset date field, determining that a third characteristic result is that children exist in the target vehicle when the current time is within a preset time period corresponding to the target date field, and determining a third confidence corresponding to the third characteristic result.
5. The method of any of claims 1-4, wherein said determining a target result based on said first confidence level, said second confidence level, and said third confidence level comprises:
performing weighted calculation on the first confidence coefficient, the second confidence coefficient and the third confidence coefficient to obtain a target confidence coefficient;
and if the target confidence coefficient is greater than a preset confidence coefficient threshold value, determining that a target result is that children exist in the target vehicle.
6. The method of any one of claims 1 to 4, wherein outputting a prompt if the target result indicates a presence of a child in the target vehicle comprises:
if the target result represents that children exist in the target vehicle, navigation information is obtained, wherein the navigation information comprises a target distance between the current position information and the place information and the navigation voice broadcast information;
if the change speed of the target distance is greater than the speed threshold, determining that the target vehicle is in a running state, and outputting prompt information; and/or the presence of a gas in the atmosphere,
and if the navigation voice broadcast information is detected to be output, determining that the target vehicle is in the running state, and outputting prompt information.
7. The method according to any one of claims 1 to 4, characterized in that, before the detecting the sound information in the target vehicle, the method further comprises:
acquiring the volume of the surrounding environment;
and if the volume of the surrounding environment is smaller than a volume threshold value, determining that the terminal equipment enters a target vehicle, and executing a step of detecting sound information in the target vehicle.
8. A riding safety prompting device is characterized by being applied to terminal equipment and comprising:
the first confidence coefficient determining module is used for detecting sound information in the target vehicle and determining a first confidence coefficient according to the sound information;
the second confidence coefficient determining module is used for acquiring the location information of the navigation destination and determining a second confidence coefficient according to the location information;
the third confidence coefficient determining module is used for acquiring time information and determining a third confidence coefficient according to the time information;
wherein the first confidence level, the second confidence level, and the third confidence level are confidence levels of the presence of a child within the target vehicle;
a target result determining module, configured to determine a target result according to the first confidence, the second confidence and the third confidence;
and the prompt information output module is used for outputting prompt information if the target result represents that children exist in the target vehicle.
9. A terminal device, comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, causes the processor to perform the method of any one of claims 1 to 7.
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| CN115848306A (en) * | 2022-12-23 | 2023-03-28 | 阿维塔科技(重庆)有限公司 | Detection method and detection device for vehicle remaining personnel and vehicle |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115848306A (en) * | 2022-12-23 | 2023-03-28 | 阿维塔科技(重庆)有限公司 | Detection method and detection device for vehicle remaining personnel and vehicle |
| CN115848306B (en) * | 2022-12-23 | 2024-05-17 | 阿维塔科技(重庆)有限公司 | Detection method and detection device for vehicle left-behind personnel and vehicle |
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