CN107818694A - alarm processing method, device and terminal - Google Patents

Abstract

The present invention provides an alarm processing method, device and terminal. The method includes: obtaining the distance between the vehicle and the things in front of the vehicle; judging whether the distance is less than the safety distance; and playing the first alarm tone when the judging result is yes . The present invention can solve the problem in the related art that an external network and a server need to be relied upon for assisted driving, resulting in high cost.

Description

Alarm processing method, device and terminal

technical field

The present invention relates to the communication field, in particular to an alarm processing method, device and terminal.

Background technique

At present, with the continuous development of Google and Baidu unmanned driving, assisted driving based on machine vision and sensors has attracted more and more attention. However, it is undeniable that there is still a long way to go for machines to completely replace people in unmanned driving There is a long way to go, but machine-assisted driving has indeed been realized. But this is generally only available on high-end vehicles. How to make it available to ordinary consumers looks more attractive.

In related technologies, when the machine assists driving, it is necessary to send the collected vehicle-related data to the server, and the server performs corresponding analysis operations, and then sends it back to the machine, and the machine displays the road-related conditions to the vehicle user based on the analyzed data , and this method needs to rely on an external network for the machine to interact with the server.

For example, the patent number is CN201310643348.8, and the patent title is "Intelligent Vehicle Speed Reminder Driving System Based on Mobile Phone". This patent is a mobile phone-based intelligent vehicle speed reminder driving system, including a mobile phone and a server on the vehicle. The mobile phone and the server work through the following steps: Step 1, utilize crowdsourcing to collect mobile phone GPS and acceleration information on the vehicle, and transmit the data to the server at a certain time through the wireless network; Step 2, distribute the information through the acceleration vector Graph and GPS path to determine the location of intersections with traffic lights; Step 3, draw and use quadratic B-spline curves to represent roads, and generate a map database; Step 4, use crowdsourcing to collect acceleration events at each intersection and infer The intersection traffic light schedule; step 5, using the generated map database and the traffic light schedule at the intersection ahead, to prompt the vehicle with the optimal speed, so that the vehicle will not stop at the intersection as much as possible when encountering a red light.

For another example, the patent number is CN201310690486.1, and the patent title is "Real-time Safety Early Warning System for Expressway Based on 3G Mobile Phone". , integrated GPS, gyroscope, WIFI module, OBD interface, etc. The on-vehicle information collection device is connected to the 3G mobile phone through the WIFI module and uses the 3G network to send the collected data to the central server. The central server receives the data from all the vehicles, and after analysis, it will send the data related to the safety of each vehicle to the mobile phones of each vehicle. The software client on the 3G mobile phone of each car will display the surrounding traffic conditions, and an alarm will be issued when there is an abnormal situation beyond the front line of sight, so as to achieve the function of real-time safety warning.

Therefore, in the related art, when the machine is used for assisted driving, the data analysis is performed by the server, so that the process of machine assisted driving needs to rely on external networks and servers, resulting in high cost.

Contents of the invention

Embodiments of the present invention provide an alarm processing method, device, and terminal to at least solve the problem in the related art of relying on external networks and servers for assisted driving, resulting in high costs.

According to an embodiment of the present invention, an alarm processing method is provided, including: obtaining the distance between the vehicle and the thing in front of the vehicle; judging whether the distance is less than a safe distance; if the judging result is yes, playing the first An alarm tone.

Optionally, after judging whether the distance is less than the safety distance, it also includes: if the distance is less than the safety distance, judging whether the vehicle decelerates; if the judgment result is no, playing the second alarm bell sound.

Optionally, judging whether the distance is less than the safety distance includes: acquiring the imaging of the thing in front on the display screen; judging whether the distance is less than the safe distance.

Optionally, judging whether the vehicle is decelerating includes: acquiring the acceleration of the vehicle; and judging whether the vehicle is decelerating by detecting changes in the acceleration.

Optionally, before obtaining the distance between the vehicle and the thing in front of the vehicle, it also includes: obtaining the facial expression data of the driver within a predetermined time; comparing whether the facial expression data is consistent with the pre-stored facial expression data ; If the comparison results are consistent, determine fatigue driving and play a third alarm tone.

According to another embodiment of the present invention, an alarm processing device is provided, including: a first acquiring module, configured to acquire the distance between the vehicle and the object in front of the vehicle; a first judging module, configured to judge whether the distance is less than the safety distance; the first playing module is used to play the first alarm tone when the judgment result is yes.

Optionally, it also includes: a second judging module, used to judge whether the vehicle decelerates when the distance is less than the safety distance; a second playing module, used to play the first Two alarm tones.

Optionally, the first judging module is also used to acquire the imaging of the front object on the display screen; and judge whether the distance is less than the specified distance by detecting whether the imaging is within the safety line on the display screen. The safety distance mentioned above.

Optionally, the second judging module is further configured to acquire the acceleration of the vehicle; and judge whether the vehicle decelerates by detecting a change in the acceleration.

Optionally, also include: a second acquisition module, used to obtain the facial expression data of the driver within a predetermined time; a comparison module, used to compare whether the facial expression data and pre-stored facial expression data are consistent; the third play A module is used for determining fatigue driving and playing a third alarm tone when the comparison results are consistent.

According to yet another embodiment of the present invention, a terminal is provided, including the apparatus described in any one of the foregoing embodiments.

According to still another embodiment of the present invention, a storage medium is also provided. The storage medium is configured to store program codes for performing the following steps: obtaining the distance between the vehicle and the thing in front of the vehicle; judging whether the distance is less than a safety distance; if the judging result is yes, playing the first alarm bell sound.

Optionally, the storage medium is further configured to store program codes for executing the following steps: after judging whether the distance is less than a safety distance, further comprising: judging whether the vehicle decelerates if the distance is less than the safety distance ; If the judgment result is negative, play the second alarm tone.

Optionally, the storage medium is also configured to store program codes for performing the following steps: judging whether the distance is less than the safety distance includes: acquiring the imaging of the thing in front on the display screen; detecting whether the imaging is within In the way of the safety line on the display screen, it is judged whether the distance is smaller than the safety distance.

Optionally, the storage medium is further configured to store program codes for performing the following steps: judging whether the vehicle is decelerating includes: acquiring the acceleration of the vehicle; and judging whether the vehicle is decelerating by detecting changes in the acceleration .

Optionally, the storage medium is also configured to store program codes for performing the following steps: before acquiring the distance between the vehicle and the thing in front of the vehicle, further comprising: acquiring the facial expression data of the driver within a predetermined time; comparing Whether the facial expression data is consistent with the pre-stored facial expression data; if the comparison results are consistent, determine fatigue driving and play the third alarm tone.

Through the present invention, the distance between the vehicle and the thing in front of the vehicle is acquired; it is judged whether the distance is less than the safety distance; and if the judgment result is yes, the first alarm tone is played. After obtaining the distance between the vehicle and the things in front of the vehicle, the distance data can be directly analyzed and processed without transmitting to the server through the external network, that is, without the server participating in the data analysis, so that the process of assisted driving no longer depends on the external network and The server can solve the problem of high cost caused by the need to rely on external networks and servers for assisted driving in related technologies.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

Fig. 1 is a hardware structural block diagram of a mobile terminal of an alarm processing method according to an embodiment of the present invention;

Fig. 2 is a flowchart of an alarm processing method according to an embodiment of the present invention;

Fig. 3 is a schematic diagram of a security thread according to an embodiment of the present invention;

Fig. 4 is a structural block diagram of an alarm processing device according to an embodiment of the present invention;

Fig. 5 is a preferred structural block diagram 1 of an alarm processing device according to an embodiment of the present invention;

Fig. 6 is a preferred structural block diagram 2 of an alarm processing device according to an embodiment of the present invention;

Fig. 7 is a schematic diagram of mobile phone safety assisted driving work according to an embodiment of the present invention;

Fig. 8 is a schematic diagram of a mobile phone assisted driving operation according to an embodiment of the present invention;

Fig. 9 is a block diagram of a safety driving assistance system according to an embodiment of the present invention.

Detailed ways

Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.

Example 1

The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, FIG. 1 is a block diagram of a hardware structure of a mobile terminal according to an alarm processing method according to an embodiment of the present invention. As shown in Figure 1, the mobile terminal 10 may include one or more (only one is shown in the figure) processors 102 (the processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA, etc.) , a memory 104 for storing data, and a transmission device 106 for communication functions. Those of ordinary skill in the art can understand that the structure shown in FIG. 1 is only a schematic diagram, and it does not limit the structure of the above-mentioned electronic device. For example, the mobile terminal 10 may also include more or fewer components than those shown in FIG. 1 , or have a different configuration than that shown in FIG. 1 .

The memory 104 can be used to store software programs and modules of application software, such as program instructions/modules corresponding to the alarm processing method in the embodiment of the present invention, and the processor 102 executes various Functional application and data processing are to realize the above-mentioned method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory that is remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal 10 through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used to receive or transmit data via a network. The specific example of the above-mentioned network may include a wireless network provided by the communication provider of the mobile terminal 10 . In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet in a wireless manner.

In this embodiment, an alarm processing method operating on the above-mentioned mobile terminal is provided. FIG. 2 is a flow chart of the alarm processing method according to an embodiment of the present invention. As shown in FIG. 2 , the process includes the following steps:

Step S202, acquiring the distance between the vehicle and the things in front of the vehicle;

Step S204, judging whether the distance is smaller than the safety distance;

Step S206, if the judgment result is yes, play the first alarm tone.

Through the above steps, after the distance between the vehicle and the things in front of the vehicle is acquired, the distance data is directly analyzed and processed without transmitting to the server through an external network, that is, the server is not required to participate in the data analysis, so that the assisted driving process is no longer necessary. Relying on external networks and servers can solve the problem of high cost caused by relying on external networks and servers when assisting driving in related technologies.

Optionally, after judging whether the distance is less than the safety distance, the method further includes: if the distance is less than the safety distance, judging whether the vehicle decelerates; if the judging result is no, playing a second alarm tone. Through the above steps, it is possible to assist the vehicle user to operate the vehicle correctly when there is a potential safety hazard.

Optionally, judging whether the distance is less than the safety distance includes: acquiring an image of the thing in front on the display screen; and judging whether the distance is less than the safety distance by detecting whether the image is within the safety line on the display screen. Through the above steps, it is possible to quickly and directly determine whether there is an obstacle within the safe distance.

For example, the above-mentioned safety line can be pre-set, and the setting form can be shown in Figure 3. The safety line 1-5 on the display screen represents a safe distance. If there are cars or pedestrians or other things, above the line 5, it means that the car is driving at a safe distance. Otherwise, it means that the car is relatively close to other things. Above line 5, it means that the object is far away from the car; when the object enters between line 5 and line 4, it means that the object is within the dangerous distance; the lower the object is, the closer it is to the car, the more dangerous it is.

For another example, the way of setting the safety line can be as follows: when using for the first time, the user himself is outside the vehicle, and a marker A is placed at a certain distance from the vehicle. The distance can be set by the user, such as 5m. After being fixed on the car, manually adjust the position of line 5 so that marker A just falls on object line 5, and lines 1, 2, 3, and 4 are displayed on the screen at equal distances. At the same time, the machine's three-axis gravity sensor can record the angle information of the machine's placement, X, Y, Z. Finish the calibration work. Afterwards, as long as the machine is fixed, place it according to the previously recorded angle information, and lines 1 to 5 will be automatically displayed on the screen. In this way, the user completes the setting of the safe distance and the angle information of the machine placement for future placement.

Optionally, judging whether the vehicle decelerates includes: acquiring the acceleration of the vehicle; and judging whether the vehicle decelerates by detecting changes in the acceleration.

For example, the acceleration sensor of the auxiliary machine can be used to obtain the acceleration of the vehicle. When the auxiliary machine is fixed on the vehicle, the acceleration obtained by the acceleration sensor represents the acceleration of the vehicle. When other things are within the safe distance of the vehicle and the driver steps on the brakes, the machine acceleration sensor can detect the change of the data, so as to determine whether the user has decelerated. When the acceleration value<0, it means that the vehicle is in a deceleration state; when the acceleration value=0, it means that the vehicle is in a constant speed or stop state; when the acceleration value>0, it means that the vehicle is in an acceleration state.

Optionally, before obtaining the distance between the vehicle and the things in front of the vehicle, it also includes: obtaining the facial expression data of the driver within a predetermined time; comparing whether the facial expression data is consistent with the pre-stored facial expression data; situation, determine fatigue driving and play the third alarm tone.

For example, the auxiliary machine can be fixed on the vehicle, and the front camera of the auxiliary machine is located on the upper front of the machine. When working, the proactive camera starts to take photos of the driver's face including eyes, and the photos obtained will be sent to the image recognition module. The captured pictures will be compared with the closed-eye pictures in the interior. If the correlation is high, it means that the driver’s eyes are closed. If the data acquired at the scheduled time is closed, it means that the driver is fatigued.

For another example, the front camera of the mobile terminal can be turned on to capture the current image, and then the human eye in the current image can be identified, and then the human eye's continuous gaze time can be calculated according to the recognition result of the image recognition module, and the human eye's continuous gaze time can be calculated. When the gazing time exceeds the preset fatigue time, a reminder signal is generated, and when the reminder signal is received, a reminder interface is generated and displayed on the mobile terminal.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to enable a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present invention.

Example 2

In this embodiment, an alarm processing device and terminal are also provided, and the device is used to implement the above embodiments and preferred implementation modes, and what has already been described will not be repeated. As used below, the term "module" may be a combination of software and/or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 4 is a structural block diagram of an alarm processing device according to an embodiment of the present invention. As shown in Fig. 4, the device includes:

The first acquiring module 42 is used to acquire the distance between the vehicle and the things in front of the vehicle;

The first judgment module 44 is connected to the above-mentioned first acquisition module 42, and is used to judge whether the distance is less than the safety distance;

The first playing module 46 is connected to the above-mentioned first judging module 44, and is used to play the first alarm ringtone when the judging result is yes.

Fig. 5 is a preferred structural block diagram 1 of an alarm processing device according to an embodiment of the present invention. As shown in Fig. 5, in addition to all the modules shown in Fig. 4, the device also includes:

The second judging module 52 is used to judge whether the vehicle is decelerating when the distance is less than the safety distance;

The second playing module 54 is connected to the above-mentioned second judging module 52, and is used to play the second alarm ring tone when the judging result is negative.

Optionally, the first judging module 44 is also used to acquire the image of the front object on the display screen; and judge whether the distance is less than the safety distance by detecting whether the image is within the safety line on the display screen.

Optionally, the second judging module 52 is also used to acquire the acceleration of the vehicle; and judge whether the vehicle decelerates by detecting the change of the acceleration.

Fig. 6 is a preferred structural block diagram II of an alarm processing device according to an embodiment of the present invention. As shown in Fig. 6, the device includes not only all the modules shown in Fig. 4 and Fig. 5 , but also:

The second obtaining module 62 is used to obtain the facial expression data of the driver within a predetermined time;

Comparison module 64, connected to the above-mentioned second acquisition module 62, is used to compare facial expression data and whether the facial expression data stored in advance is consistent;

The third playing module 66 is connected to the above-mentioned comparing module 64, and is used for determining fatigue driving and playing a third alarm tone when the comparison results are consistent.

In this embodiment, a terminal is also provided, and the terminal includes any one of the alarm processing devices in the foregoing embodiments.

It should be noted that as mobile phones become more and more popular in people's daily life, in addition to daily communication and entertainment, they can also be used in safety assisted driving. It also has the function of assisting driving; and compared with third-party and other auxiliary driving equipment, no additional purchase is required, so there is no additional cost; and since the sensors used are all standard configurations of mobile phones, the cost of mobile phones will not increase; Finally, because it is a portable product, it is easy to assemble and has a friendly interface when used as a driving aid. Therefore, the use of mobile phones for assisted driving has great application prospects.

The following takes the mobile phone as an example to illustrate the assisted driving process. Fig. 7 is a schematic diagram of mobile phone safety assisted driving work according to an embodiment of the present invention. As shown in Fig. 7, the mobile phone assisted driving working process includes:

The front camera (same as the second acquisition module 62 and the comparison module 64) is located at the upper part of the front of the mobile phone. When working, it starts to take pictures of the driver's face including eyes, and the photos obtained by shooting will be sent to the image recognition module. Or the eyes-closed recognition module performs image recognition. If it is judged that the driver has a tired expression or eye state at this time, the alarm module will be notified, and the alarm ring tone will be played to remind the user that he is in a state of fatigue;

The rear camera (same as the first acquiring module 42 and the first judging module 44) is located on the back of the mobile phone. When working, it starts to shoot things in front of the vehicle, including vehicles driving ahead, pedestrians walking, or other things in front, and takes photos obtained It will be sent to the image recognition module, and the image recognition will be carried out through the front road recognition module. If it is judged that there are vehicles, pedestrians or other things in front of the vehicle within the safe distance of the vehicle, it will be judged by combining the signals obtained by the front camera of the mobile phone and the acceleration sensor. , the alarm module will be notified and the alarm tone will be played to remind the user to drive safely;

The acceleration sensor (same as the second judging module 52) is located in the main board of the mobile phone. When working, the mobile phone is fixed on the car, so when the car is running, it can be collected that it is in an acceleration or deceleration state during the start-up driving. Through this information, combined with The information obtained by the front-facing camera and the rear-facing camera can determine whether the current driver is operating correctly. If the driving is abnormal, the alarm block will be notified and the alarm ring tone will be played to remind the user to drive safely;

Loudspeaker (same as above first playing module 46, the second playing module 54, the 3rd playing module 66), is positioned at mobile phone complete machine, when working, if driving abnormality, system can then notify alarm block, play alarm ringtone by loudspeaker, Remind users to drive safely.

The embodiment of the present invention provides an alarm processing method, making full use of various devices and sensors in the mobile phone to obtain as much external information as possible, driver information and vehicle information, to form an all-round, multi-angle information processing and judgment system, Better realization of assisted driving. The safety distance refers to the distance between the car and the things in front when the car is driving normally. If the distance between the two is greater than this distance, collisions will not easily occur; if the things are within the safe distance, it means that the distance between the two is too close and a collision may occur . For example, if there is a car or pedestrian in front of the car within the safe distance of the car, then judge whether it is fatigue driving, if not fatigue driving, but not slowing down, then play the alarm tone 3 to remind the driver to pay attention to safety; if slowing down, then do not Play an alarm tone.

In order to facilitate understanding of the present invention, taking a mobile phone as an example, this embodiment also provides a safety driving assistance system. FIG. 8 is a schematic diagram of a mobile phone assisted driving operation according to an embodiment of the present invention. As shown in FIG. 8 , the system includes: a mobile phone and a vehicle (for example, a car). The mobile phone is fixed in front of the driver in the car, and when the car is running, the mobile phone assists driving and starts to work. Wherein, the mobile phone at least includes: a front camera of the mobile phone, a rear camera, an acceleration sensor, and a speaker. The front camera and the rear camera can work at the same time.

Fig. 9 is a block diagram of a safety driving assistance system according to an embodiment of the present invention. As shown in Fig. 9, the working process of the above system may include the following modules: a module for monitoring obstacles in front of the vehicle, a module for monitoring vehicle acceleration, and a module for monitoring driver fatigue, Safe driving alarm module. The above modules are described respectively below.

1) Obstacle monitoring module in front of the car: Use the rear camera of the mobile phone to take pictures of the road ahead of the car. Other things, above the line 5, means that the car is driving within a safe distance, otherwise it means that the car is relatively close to other things. Above line 5, it means that the object is far away from the car; when the object enters between line 5 and line 4, it means that the object is within the dangerous distance; the lower the object is, the closer it is to the car, the more dangerous it is.

2) Monitoring vehicle acceleration module: Use the acceleration sensor that comes with the mobile phone. When the mobile phone is fixed on the vehicle, the acceleration obtained by the acceleration sensor represents the acceleration of the vehicle. When other things are within the safe distance of the car and the driver steps on the brakes, the acceleration sensor of the mobile phone can detect the change of the data, so as to judge whether the user has slowed down. When the acceleration value<0, it means the car is decelerating; when the acceleration value=0, it means the car is at a constant speed or at a stop; when the acceleration value>0, it means the car is accelerating.

3) Monitor the driver's fatigue driving module: use the front camera located at the top of the front of the mobile phone. When working, the proactive camera starts to take photos of the driver's face including eyes, and the photos obtained will be sent to the image recognition module. The captured picture will be compared with the closed-eye picture in the interior. If the correlation is high, it means that the driver’s eyes are closed, and the timing will start. If it exceeds 2s, it means that the driver is fatigued.

4) Safe driving alarm module: According to the information obtained by the rear camera, the proactive camera and the acceleration sensor in the above three modules, there are a total of 8 states, as shown in Table 1, these 8 states represent the current external environment, driver, The state of the three automobiles can be judged according to these 8 states whether it is currently driving dangerously. If so, the mobile phone speaker will start to play an alarm tone to remind the driver to drive safely.

Table 1 The state of the external environment, the driver, and the car

safe distance fatigue driving slow down Call the police 0 0 0 do not call the police 0 0 1 do not call the police 0 1 0 Alarm tone 1 0 1 1 Alarm tone 2 1 0 0 Alarm tone 3 1 0 1 do not call the police 1 1 0 Alarm Tone 4 1 1 1 Alarm tone 5

The above-mentioned embodiment provides a system for using a mobile phone to assist driving, using the devices and sensors on the mobile phone to obtain enough driving information to assist driving; making full use of the increasingly common functions of mobile phones to detect whether the driver is in a dangerous environment Whether to make corresponding deceleration actions in dangerous environments.

It should be noted that each of the above-mentioned modules can be implemented by software or hardware. For the latter, it can be implemented in the following manner, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned modules can be combined in any combination The forms of are located in different processors.

Example 3

The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the above-mentioned storage medium may be configured to store program codes for performing the following steps:

S1, obtaining the distance between the vehicle and the things in front of the vehicle;

S2, judging whether the distance is less than the safety distance;

S3, if the judgment result is yes, play the first alarm tone.

Optionally, the storage medium is also configured to store program codes for performing the following steps: after judging whether the distance is less than the safety distance, further comprising:

S1, when the distance is less than the safety distance, determine whether the vehicle is decelerating;

S2, if the judgment result is negative, play the second alarm tone.

Optionally, the storage medium is also configured to store program codes for performing the following steps: judging whether the distance is less than the safety distance includes:

S1, acquiring the imaging of the front object on the display screen;

S2. Determine whether the distance is smaller than the safety distance by detecting whether the imaging is within the safety line on the display screen.

Optionally, the storage medium is also configured to store program codes for performing the following steps: judging whether the vehicle decelerates includes:

S1, obtain the acceleration of the vehicle;

S2, by detecting the change of acceleration, it is judged whether the vehicle is decelerating.

Optionally, the storage medium is further configured to store program codes for executing the following steps: before acquiring the distance between the vehicle and the things in front of the vehicle, further comprising:

S1, acquiring facial expression data of the driver within a predetermined time;

S2, comparing whether the facial expression data is consistent with the pre-stored facial expression data;

S3, if the comparison results are consistent, determine fatigue driving and play a third alarm tone.

Optionally, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk Various media that can store program codes such as discs or optical discs.

Optionally, in this embodiment, the processor executes according to the program code stored in the storage medium: acquiring the distance between the vehicle and the thing in front of the vehicle; judging whether the distance is less than the safety distance; if the judging result is yes, playing First alarm tone.

Optionally, in this embodiment, the processor executes according to the program code stored in the storage medium: after judging whether the distance is less than the safety distance, further includes: judging whether the vehicle decelerates if the distance is less than the safety distance; If the judgment result is negative, the second alarm tone is played.

Optionally, in this embodiment, the processor executes according to the program codes stored in the storage medium: judging whether the distance is less than the safe distance includes: obtaining the imaging of the front thing on the display screen; by detecting whether the imaging is safe on the display screen In-line mode, judge whether the distance is less than the safety distance.

Optionally, in this embodiment, the processor executes according to the program code stored in the storage medium: judging whether the vehicle decelerates includes: acquiring the acceleration of the vehicle; and judging whether the vehicle decelerates by detecting changes in the acceleration.

Optionally, in this embodiment, the processor executes according to the program code stored in the storage medium: before obtaining the distance between the vehicle and the thing in front of the vehicle, further includes: obtaining the facial expression data of the driver within a predetermined time; comparing Whether the facial expression data is consistent with the pre-stored facial expression data; if the comparison results are consistent, determine fatigue driving and play the third alarm tone.

Optionally, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and optional implementation manners, and details are not repeated in this embodiment.

Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Alternatively, they may be implemented in program code executable by a computing device so that they may be stored in a storage device to be executed by a computing device, and in some cases in an order different from that shown here The steps shown or described are carried out, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps among them are fabricated into a single integrated circuit module for implementation. As such, the present invention is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (11)

1. An alarm processing method, characterized in that, comprising: Obtain the distance between the vehicle and the thing in front of the vehicle; judging whether the distance is less than a safety distance; If the judgment result is yes, the first alarm tone is played. 2. The method according to claim 1, characterized in that, after judging whether the distance is less than a safety distance, further comprising: If the distance is less than a safety distance, determine whether the vehicle is decelerating; If the judgment result is negative, the second alarm tone is played. 3. The method according to claim 1 or 2, wherein judging whether the distance is less than the safety distance comprises: Obtaining the imaging of the front thing on the display screen; Whether the distance is smaller than the safety distance is determined by detecting whether the imaging is within the safety line on the display screen. 4. The method according to claim 2, wherein judging whether the vehicle is decelerating comprises: obtaining the acceleration of the vehicle; By detecting the change of the acceleration, it is judged whether the vehicle is decelerating. 5. The method according to claim 1, further comprising: before obtaining the distance between the vehicle and the thing in front of the vehicle: Obtain the facial expression data of the driver within a predetermined time; Comparing whether the facial expression data is consistent with the pre-stored facial expression data; In the case that the comparison results are consistent, it is determined that the driver is fatigued and a third alarm tone is played. 6. An alarm processing device, characterized in that, comprising: The first acquiring module is used to acquire the distance between the vehicle and the things in front of the vehicle; A first judging module, configured to judge whether the distance is less than a safety distance; The first playing module is used to play the first alarm ring tone when the judgment result is yes. 7. The device according to claim 6, further comprising: A second judging module, configured to judge whether the vehicle decelerates when the distance is less than a safety distance; The second playing module is used to play the second alarm ring tone when the judgment result is negative. 8. The device according to claim 6 or 7, wherein the first judging module is also used to acquire the imaging of the front thing on the display screen; and by detecting whether the imaging is on the display screen In a manner within the safety line, it is judged whether the distance is smaller than the safety distance. 9 . The device according to claim 7 , wherein the second judging module is further configured to acquire the acceleration of the vehicle; and judge whether the vehicle is decelerating by detecting changes in the acceleration. 10. The device according to claim 6, further comprising: The second acquisition module is used to acquire the facial expression data of the driver within a predetermined time; Comparison module, used to compare whether the facial expression data and the pre-stored facial expression data are consistent; The third playing module is used to determine the fatigue driving and play the third alarm tone when the comparison results are consistent. 11. A terminal, comprising the device according to any one of claims 6-10.