Dangerous driving behavior prediction system and method based on deep learning

Abstract

The invention discloses a deep learning-based dangerous driving behavior prediction system, which comprises a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal and a dangerous driving behavior reminding terminal, and is characterized in that the dangerous driving behavior supervision terminal is used for supervising the dangerous driving operation behavior of a driver; the dangerous driving behavior detection terminal is used for detecting the dangerous driving operation behavior of the driver and determining the dangerous driving operation behavior made by the driver so as to remind correction, and the dangerous driving behavior reminding terminal is used for reminding the driver of the dangerous driving operation behavior made by the driver so as to remind the driver of the dangerous driving operation behavior. And the driver is reminded of safe driving, so that dangerous driving behavior prediction based on deep learning is realized. The invention provides a complete prediction system which has the function of predicting dangerous driving behaviors in advance in the driving process, so that traffic accidents are avoided, and safe driving is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of dangerous driving behavior prediction, and specifically to a system and method for predicting dangerous driving behavior based on deep learning. Background Art

[0002] Deep learning is a branch of machine learning and an algorithm for representing learning of data with an artificial neural network architecture. So far, several deep learning frameworks, such as deep neural networks, convolutional neural networks, deep belief networks, and recurrent neural networks, have been applied in the fields of computer vision, speech recognition, natural language processing, audio recognition, and bioinformatics and achieved excellent results. Deep learning is driving artificial intelligence into the stage of industrial mass production, with strong versatility and the basic characteristics of standardization, automation, and modularity.

[0004] There is no complete prediction system for drivers' dangerous driving behaviors currently. It does not have the function of predicting dangerous driving behaviors in advance. Once a traffic accident is caused by dangerous driving, the driver has no time to react and take countermeasures, which is likely to cause traffic accidents and is not conducive to safe driving. Therefore, there is an urgent need for a system and method for predicting dangerous driving behavior based on deep learning to solve the above technical problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a system and method for predicting dangerous driving behavior based on deep learning to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: A system for predicting dangerous driving behavior based on deep learning, which realizes prior estimation of a driver's dangerous driving behavior based on deep learning, including: a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal; The dangerous driving behavior supervision terminal: used to supervise the driver's operation behavior of dangerous driving and determine that the driver is performing dangerous driving; The dangerous driving behavior detection terminal: used to detect the driver's operation behavior of dangerous driving and determine the dangerous driving operation behavior performed by the driver for easy reminder and correction; The dangerous driving behavior reminder terminal: used to remind the driver of the dangerous driving operation behavior and remind the driver to drive safely, realizing the prediction of dangerous driving behavior based on deep learning.

[0007] As a further solution of the present invention: The dangerous driving behavior supervision terminal includes a dangerous driving behavior supervision module and a dangerous driving behavior instruction sending module. The dangerous driving behavior supervision module is used to supervise the driver's action behavior and voice in real time. Once dangerous driving behavior or voice appears, the dangerous driving behavior is sent to the dangerous driving behavior detection terminal through the dangerous driving behavior instruction sending module for dangerous driving behavior detection, facilitating the supervision of dangerous driving behavior.

[0008] As a further solution of the present invention: The dangerous driving behavior detection terminal includes a dangerous driving behavior instruction receiving module, a driver action behavior capturing module, an image processing module, a driver voice acquisition module, a sound wave processing module, a dangerous driving behavior detection module, a dangerous driving behavior prediction module, a dangerous driving behavior storage module, a database module, a dangerous driving behavior comparison module, and a control module.

[0009] As a further solution of the present invention: The control module is the core of the entire dangerous driving behavior prediction system, and is used to realize the core control of the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module, ensuring the normal operation of the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module.

[0010] As a further solution of the present invention: The dangerous driving behavior instruction receiving module is used to receive the dangerous driving behavior instruction sent by the dangerous driving behavior supervision terminal, and capture and collect the driver's action behavior and voice through the driver action behavior capturing module and the driver voice acquisition module, and then process them by the image processing module and the sound wave processing module to determine the driver's dangerous driving behavior.

[0011] As a further solution of the present invention: The dangerous driving behavior detection module is used to check the processed driver action behavior and voice, and predict the dangerous driving behavior through the dangerous driving behavior prediction module, so as to determine the dangerous driving behavior that the driver is performing.

[0012] As a further solution of the present invention: the dangerous driving behavior storage module is used to store the dangerous driving behaviors determined by the driver's action behaviors and voices in the past, and store them in the database module, and the dangerous driving behavior comparison module is used to compare the newly captured and collected driver's action behaviors and voices with the dangerous driving behaviors stored in the database module in the past. Once the same or similar dangerous driving behaviors appear, it is directly determined that there is no need to detect dangerous driving behaviors, saving the time for determining dangerous driving behaviors.

[0013] As a further solution of the present invention: the dangerous driving behavior reminder terminal includes: an image display reminder module, a voice reminder module, an information communication module, an alarm module and a dangerous driving correction module.

[0014] As a further solution of the present invention: the information communication module is used to transmit the dangerous driving behaviors determined by the dangerous driving behavior detection terminal to the dangerous driving behavior reminder terminal, and perform image display and voice reminder through the image display reminder module and the voice reminder module, so that the driver can timely know that he is performing dangerous driving, and during the reminder process, perform sound and light alarm through the alarm module, achieving a good warning effect. After the driver knows the dangerous driving, he corrects the driving through the dangerous driving correction module to ensure that the driver is always in safe driving, realizing the prediction of dangerous driving behaviors.

[0015] A method for predicting dangerous driving behaviors based on deep learning includes the following steps: S1: The dangerous driving behavior supervision terminal supervises the driver's operation behaviors of dangerous driving and determines that the driver is performing dangerous driving; S2: The dangerous driving behavior detection terminal detects the driver's operation behaviors of dangerous driving and determines the dangerous driving operation behaviors performed by the driver, facilitating reminder and correction; S3: The dangerous driving behavior reminder terminal reminds the driver of the dangerous driving operation behaviors performed and reminds the driver to drive safely, realizing the prediction of dangerous driving behaviors based on deep learning.

[0016] Compared with the prior art, the beneficial effects of the present invention are: The present invention provides a system for predicting dangerous driving behaviors based on deep learning. The system includes a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal. The dangerous driving behavior supervision terminal is used to monitor the driving operation behaviors of a driver to determine whether the driver is engaged in dangerous driving. The dangerous driving behavior detection terminal is used to detect the driving operation behaviors of the driver to determine the specific dangerous driving operation behaviors performed by the driver, which is convenient for reminding the driver to correct these behaviors. The dangerous driving behavior reminder terminal is used to remind the driver of the dangerous driving operation behaviors and to remind the driver to drive safely. The dangerous driving behavior detection terminal is provided with a dangerous driving behavior comparison module. By comparing the newly captured and collected driving actions and sounds of the driver with the dangerous driving behaviors previously stored in the database module, once the same or similar dangerous driving behaviors are detected, it is directly determined that there is no need to conduct dangerous driving behavior detection, thus saving the time for determining dangerous driving behaviors. The present invention provides a complete prediction system, which has the function of predicting dangerous driving behaviors in advance during the driving process, avoiding the occurrence of traffic accidents, and being beneficial to safe driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 FIG. is a block diagram of the structure of a system for predicting dangerous driving behaviors based on deep learning.

[0018] Figure 2 FIG. is a block diagram of the structure of the dangerous driving behavior detection terminal in a system for predicting dangerous driving behaviors based on deep learning.

[0019] Figure 3 FIG. is a block diagram of the structure of the dangerous driving behavior reminder terminal in a system for predicting dangerous driving behaviors based on deep learning.

[0020] Figure 4 FIG. is a flowchart of a method for predicting dangerous driving behaviors based on deep learning. EMBODIMENTS

[0021] Various exemplary embodiments, features, and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the drawings denote elements having the same or similar functions. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0022] The term "exemplary" used herein means "serving as an example, embodiment, or illustration". Any embodiment described herein as "exemplary" is not necessarily to be construed as superior to or better than other embodiments.

[0023] In addition, for a better illustration of this application, numerous specific details are provided in the following specific embodiments. Those skilled in the art should understand that this application can also be implemented without certain specific details. In some instances, methods, means, and elements well-known to those skilled in the art are not described in detail to highlight the gist of this application. Embodiment

[0024] Please refer to Figure 1 , a system for predicting dangerous driving behaviors based on deep learning, which realizes the prior estimation of a driver's dangerous driving behaviors based on deep learning, including: a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal; Dangerous driving behavior supervision terminal: used to supervise the operation behaviors of a driver for dangerous driving and determine that the driver is engaged in dangerous driving; Dangerous driving behavior detection terminal: used to detect the operation behaviors of a driver for dangerous driving, determine the dangerous driving operation behaviors performed by the driver, and facilitate reminder and correction; Dangerous driving behavior reminder terminal: used to remind the driver of the dangerous driving operation behaviors performed and remind the driver to drive safely, thereby realizing the prediction of dangerous driving behaviors based on deep learning.

[0025] Please refer to Figure 4 , a method for predicting dangerous driving behaviors based on deep learning, including the following steps: S1: The dangerous driving behavior supervision terminal supervises the operation behaviors of a driver for dangerous driving and determines that the driver is engaged in dangerous driving; S2: The dangerous driving behavior detection terminal detects the operation behaviors of a driver for dangerous driving, determines the dangerous driving operation behaviors performed by the driver, and facilitates reminder and correction; S3: The dangerous driving behavior reminder terminal reminds the driver of the dangerous driving operation behaviors performed and reminds the driver to drive safely, thereby realizing the prediction of dangerous driving behaviors based on deep learning.

[0026] Preferably, in this embodiment, the dangerous driving behavior supervision terminal includes: a dangerous driving behavior supervision module and a dangerous driving behavior instruction sending module. The dangerous driving behavior supervision module is used to supervise the action behaviors and voices of the driver in real time. Once dangerous driving behaviors or voices occur, the dangerous driving behaviors are sent to the dangerous driving behavior detection terminal through the dangerous driving behavior instruction sending module for dangerous driving behavior detection, facilitating the supervision of dangerous driving behaviors.

[0027] Specifically: By setting up a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal, the dangerous driving behavior supervision terminal is used to supervise the operation behavior of a driver engaged in dangerous driving to determine that the driver is engaged in dangerous driving. The dangerous driving behavior detection terminal is used to detect the operation behavior of a driver engaged in dangerous driving to determine the dangerous driving operation behavior performed by the driver, which is convenient for reminding and correcting. The dangerous driving behavior reminder terminal is used to remind the driver of the dangerous driving operation behavior performed and remind the driver to drive safely, realizing the prediction of dangerous driving behavior based on deep learning. Embodiment

[0028] Please refer to Figure 1 , a system for predicting dangerous driving behavior based on deep learning, which realizes the prior estimation of a driver's dangerous driving behavior based on deep learning, including: a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal; Dangerous driving behavior supervision terminal: Used to supervise the operation behavior of a driver engaged in dangerous driving to determine that the driver is engaged in dangerous driving; Dangerous driving behavior detection terminal: Used to detect the operation behavior of a driver engaged in dangerous driving to determine the dangerous driving operation behavior performed by the driver, which is convenient for reminding and correcting; Dangerous driving behavior reminder terminal: Used to remind the driver of the dangerous driving operation behavior performed and remind the driver to drive safely, realizing the prediction of dangerous driving behavior based on deep learning.

[0029] Please refer to Figure 4 , a method for predicting dangerous driving behavior based on deep learning, including the following steps: S1: The dangerous driving behavior supervision terminal supervises the operation behavior of a driver engaged in dangerous driving to determine that the driver is engaged in dangerous driving; S2: The dangerous driving behavior detection terminal detects the operation behavior of a driver engaged in dangerous driving to determine the dangerous driving operation behavior performed by the driver, which is convenient for reminding and correcting; S3: The dangerous driving behavior reminder terminal reminds the driver of the dangerous driving operation behavior performed and reminds the driver to drive safely, realizing the prediction of dangerous driving behavior based on deep learning.

[0030] Preferably, in this embodiment, the dangerous driving behavior supervision terminal includes: a dangerous driving behavior supervision module and a dangerous driving behavior instruction sending module. The dangerous driving behavior supervision module is used to supervise the action behavior and voice of the driver in real time. Once dangerous driving behavior or voice appears, the dangerous driving behavior is sent to the dangerous driving behavior detection terminal through the dangerous driving behavior instruction sending module for dangerous driving behavior detection, which is convenient for the supervision of dangerous driving behavior.

[0031] Please refer to Figure 2 , the dangerous driving behavior detection terminal includes: a dangerous driving behavior instruction receiving module, a driver action behavior capturing module, an image processing module, a driver voice acquisition module, a sound wave processing module, a dangerous driving behavior detection module, a dangerous driving behavior prediction module, a dangerous driving behavior storage module, a database module, a dangerous driving behavior comparison module, and a control module.

[0032] Preferably, in this embodiment, the control module is the core of the entire dangerous driving behavior prediction system, and is used to achieve core control over the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module, ensuring the normal operation of the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module.

[0033] Preferably, in this embodiment, the dangerous driving behavior instruction receiving module is used to receive the dangerous driving behavior instruction sent by the dangerous driving behavior supervision terminal, and capture and collect the driver's action behavior and voice through the driver action behavior capturing module and the driver voice acquisition module, and then process them through the image processing module and the sound wave processing module to determine the driver's dangerous driving behavior.

[0034] Preferably, in this embodiment, the dangerous driving behavior detection module is used to check the processed driver action behavior and voice, and perform dangerous driving behavior prediction through the dangerous driving behavior prediction module, so as to determine the dangerous driving behavior that the driver is currently performing.

[0035] Preferably, in this embodiment, the dangerous driving behavior storage module is used to store the dangerous driving behavior determined by the driver's action behavior and voice in the past, and store it in the database module, and the dangerous driving behavior comparison module is used to compare the newly captured and collected driver action behavior and voice with the dangerous driving behavior stored in the database module in the past. Once the same or similar dangerous driving behavior appears, it is directly determined that there is no need to perform dangerous driving behavior detection, saving the time for determining dangerous driving behavior.

[0036] Specifically: Compared with the first embodiment, this embodiment specifically illustrates that the dangerous driving behavior detection terminal includes: a dangerous driving behavior instruction receiving module, a driver action behavior capturing module, an image processing module, a driver voice acquisition module, a sound wave processing module, a dangerous driving behavior detection module, a dangerous driving behavior prediction module, a dangerous driving behavior storage module, a database module, a dangerous driving behavior comparison module, and a control module. The dangerous driving behavior instruction receiving module is used to receive the dangerous driving behavior instructions sent by the dangerous driving behavior supervision terminal, and capture and collect the driver's action behavior and voice through the driver action behavior capturing module and the driver voice acquisition module. Then, the image processing module and the sound wave processing module are used for processing to determine the driver's dangerous driving behavior. The dangerous driving behavior detection module is used to check the processed driver action behavior and voice, and perform dangerous driving behavior prediction through the dangerous driving behavior prediction module, so as to determine the dangerous driving behavior that the driver is currently performing. The dangerous driving behavior storage module is used to store the dangerous driving behaviors determined by the driver's action behavior and voice in the past and store them in the database module. The dangerous driving behavior comparison module is used to compare the newly captured and collected driver action behavior and voice with the dangerous driving behaviors stored in the database module in the past. Once the same or similar dangerous driving behaviors appear, it is directly determined that there is no need to perform dangerous driving behavior detection, saving the time for determining dangerous driving behaviors, and thus better realizing the prediction of dangerous driving behaviors based on deep learning. Embodiment

[0037] Please refer to Figure 1 , a system for predicting dangerous driving behaviors based on deep learning, which realizes the prior estimation of dangerous driving behaviors of drivers based on deep learning, including: a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal; Dangerous driving behavior supervision terminal: Used to supervise the operation behaviors of drivers during dangerous driving and determine that the driver is currently engaged in dangerous driving; Dangerous driving behavior detection terminal: Used to detect the operation behaviors of drivers during dangerous driving and determine the dangerous driving operation behaviors performed by the driver, facilitating reminder and correction; Dangerous driving behavior reminder terminal: Used to remind the driver of the dangerous driving operation behaviors performed and remind the driver to drive safely, realizing the prediction of dangerous driving behaviors based on deep learning.

[0038] Please refer to Figure 4 , a method for predicting dangerous driving behaviors based on deep learning, including the following steps: S1: The dangerous driving behavior supervision terminal supervises the operation behaviors of drivers during dangerous driving and determines that the driver is currently engaged in dangerous driving; S2: The dangerous driving behavior detection terminal detects the operation behaviors of the driver for dangerous driving, determines the dangerous driving operation behaviors performed by the driver, and facilitates reminder and correction. S3: The dangerous driving behavior reminder terminal reminds the driver of the dangerous driving operation behaviors and reminds the driver to drive safely, realizing the prediction of dangerous driving behaviors based on deep learning.

[0039] Preferably, in this embodiment, the dangerous driving behavior supervision terminal includes: a dangerous driving behavior supervision module and a dangerous driving behavior instruction sending module. The dangerous driving behavior supervision module is used to supervise the action behaviors and voices of the driver in real time. Once dangerous driving behaviors or voices occur, the dangerous driving behaviors are sent to the dangerous driving behavior detection terminal through the dangerous driving behavior instruction sending module for dangerous driving behavior detection, facilitating the supervision of dangerous driving behaviors.

[0040] Please refer to Figure 2 , the dangerous driving behavior detection terminal includes: a dangerous driving behavior instruction receiving module, a driver action behavior capturing module, an image processing module, a driver voice acquisition module, a sound wave processing module, a dangerous driving behavior detection module, a dangerous driving behavior prediction module, a dangerous driving behavior storage module, a database module, a dangerous driving behavior comparison module, and a control module.

[0041] Preferably, in this embodiment, the control module is the core of the entire dangerous driving behavior prediction system, and is used to achieve the core control of the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module, ensuring the normal operation of the dangerous driving behavior instruction receiving module, the driver action behavior capturing module, the image processing module, the driver voice acquisition module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module.

[0042] Preferably, in this embodiment, the dangerous driving behavior instruction receiving module is used to receive the dangerous driving behavior instructions sent by the dangerous driving behavior supervision terminal, capture and collect the action behaviors and voices of the driver through the driver action behavior capturing module and the driver voice acquisition module, and then process them by the image processing module and the sound wave processing module to determine the dangerous driving behaviors of the driver.

[0043] Preferably, in this embodiment, the dangerous driving behavior detection module is used to check the processed driver's action behavior and voice, and predict the dangerous driving behavior through the dangerous driving behavior prediction module, so as to determine the dangerous driving behavior that the driver is performing.

[0044] Preferably, in this embodiment, the dangerous driving behavior storage module is used to store the dangerous driving behaviors determined by the driver's action behavior and voice in the past, and store them in the database module. The dangerous driving behavior comparison module is used to compare the newly captured and collected driver's action behavior and voice with the dangerous driving behaviors stored in the database module in the past. Once the same or similar dangerous driving behaviors appear, it is directly determined that there is no need to detect the dangerous driving behavior, saving the time for determining the dangerous driving behavior.

[0045] Please refer to Figure 3 , the dangerous driving behavior reminder terminal includes: an image display reminder module, a voice reminder module, an information communication module, an alarm module, and a dangerous driving correction module.

[0046] Preferably, in this embodiment, the information communication module is used to transmit the dangerous driving behavior determined by the dangerous driving behavior detection terminal to the dangerous driving behavior reminder terminal, and perform image display and voice reminder through the image display reminder module and the voice reminder module, so that the driver can timely know that he is performing dangerous driving. And during the reminder process, an audible and visual alarm is carried out through the alarm module, achieving a good warning effect. After knowing the dangerous driving, the driver corrects the driving through the dangerous driving correction module to ensure that the driver is always in safe driving, realizing the prediction of dangerous driving behavior.

[0047] It should be specifically noted that: compared with Embodiment 2, this embodiment specifically illustrates that the dangerous driving behavior reminder terminal includes: an image display reminder module, a voice reminder module, an information communication module, an alarm module, and a dangerous driving correction module. The information communication module is used to transmit the dangerous driving behavior determined by the dangerous driving behavior detection terminal to the dangerous driving behavior reminder terminal, and perform image display and voice reminder through the image display reminder module and the voice reminder module, so that the driver can timely know that he is performing dangerous driving. And during the reminder process, an audible and visual alarm is carried out through the alarm module, achieving a good warning effect. After knowing the dangerous driving, the driver corrects the driving through the dangerous driving correction module to ensure that the driver is always in safe driving, thereby better realizing the prediction of dangerous driving behavior based on deep learning.

[0048] It should be particularly noted that: the present invention is provided with a dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal. The dangerous driving behavior supervision terminal is used to supervise the operation behavior of the driver for dangerous driving and determine that the driver is performing dangerous driving. The dangerous driving behavior detection terminal is used to detect the operation behavior of the driver for dangerous driving and determine the dangerous driving operation behavior of the driver, which is convenient for reminding and correcting. The dangerous driving behavior reminder terminal is used to remind the driver of the dangerous driving operation behavior and remind the driver to drive safely, so as to realize the prediction of dangerous driving behavior based on deep learning. And the dangerous driving behavior detection terminal is provided with a dangerous driving behavior comparison module, which compares the newly captured and collected driver's action behavior and sound with the dangerous driving behavior stored in the database module in the past. Once the same or similar dangerous driving behavior appears, it is directly determined that there is no need to detect the dangerous driving behavior, saving the time for determining the dangerous driving behavior.

[0049] The present invention provides a complete prediction system, which has the function of predicting dangerous driving behavior in advance during the driving process, avoiding the occurrence of traffic accidents, and being beneficial to safe driving.

[0050] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention.

[0051] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A system for predicting dangerous driving behaviors based on deep learning, which realizes the prior estimation of dangerous driving behaviors of drivers according to deep learning, and is characterized in that Including: A dangerous driving behavior supervision terminal, a dangerous driving behavior detection terminal, and a dangerous driving behavior reminder terminal; The dangerous driving behavior supervision terminal: used to supervise the operating behaviors of a driver for dangerous driving and determine that the driver is engaged in dangerous driving; The dangerous driving behavior detection terminal: used to detect the operating behaviors of a driver for dangerous driving, determine the dangerous driving operating behaviors done by the driver, and facilitate reminder and correction; The dangerous driving behavior reminder terminal: used to remind the driver of the dangerous driving operating behaviors and remind the driver to drive safely, and realize the prediction of dangerous driving behaviors based on deep learning.

2. The system for predicting dangerous driving behaviors based on deep learning according to claim 1, wherein The dangerous driving behavior supervision terminal includes: a dangerous driving behavior supervision module and a dangerous driving behavior instruction sending module. The dangerous driving behavior supervision module is used to supervise the movement behaviors and voices of the driver in real time. Once dangerous driving behaviors or voices occur, the dangerous driving behaviors are sent to the dangerous driving behavior detection terminal through the dangerous driving behavior instruction sending module for dangerous driving behavior detection, facilitating the supervision of dangerous driving behaviors.

3. The system for predicting dangerous driving behaviors based on deep learning according to claim 1, wherein The dangerous driving behavior detection terminal includes: a dangerous driving behavior instruction receiving module, a driver movement behavior capture module, an image processing module, a driver voice collection module, a sound wave processing module, a dangerous driving behavior detection module, a dangerous driving behavior prediction module, a dangerous driving behavior storage module, a database module, a dangerous driving behavior comparison module, and a control module.

4. The system for predicting dangerous driving behaviors based on deep learning according to claim 3, wherein The control module is the core of the entire dangerous driving behavior prediction system, used to achieve the core control of the dangerous driving behavior instruction receiving module, the driver movement behavior capture module, the image processing module, the driver voice collection module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module, ensuring the normal operation of the dangerous driving behavior instruction receiving module, the driver movement behavior capture module, the image processing module, the driver voice collection module, the sound wave processing module, the dangerous driving behavior detection module, the dangerous driving behavior prediction module, the dangerous driving behavior storage module, the database module, and the dangerous driving behavior comparison module.

5. The system for predicting dangerous driving behaviors based on deep learning according to claim 4, characterized in that, The dangerous driving behavior instruction receiving module is used to receive the dangerous driving behavior instructions sent by the dangerous driving behavior supervision terminal, capture and collect the movement behaviors and voices of the driver through the driver movement behavior capture module and the driver voice collection module, and then process them by the image processing module and the sound wave processing module to determine the dangerous driving behaviors of the driver.

6. The system for predicting dangerous driving behaviors based on deep learning according to claim 5, wherein The dangerous driving behavior detection module is used to check the processed movement behaviors and voices of the driver and predict the dangerous driving behaviors through the dangerous driving behavior prediction module, so as to determine the dangerous driving behaviors that the driver is currently engaged in.

7. The system for predicting dangerous driving behaviors based on deep learning according to claim 6, characterized in that, The dangerous driving behavior storage module is used to store the dangerous driving behaviors determined by the driver's action behaviors and voices in the past, and store them in the database module. The dangerous driving behavior comparison module is used to compare the newly captured and collected driver's action behaviors and voices with the dangerous driving behaviors stored in the database module in the past. Once the same or similar dangerous driving behaviors appear, it is directly determined that there is no need to detect dangerous driving behaviors, saving the time for determining dangerous driving behaviors.

8. The system for predicting dangerous driving behaviors based on deep learning according to claim 1, characterized in that, The dangerous driving behavior reminder terminal includes: an image display reminder module, a voice reminder module, an information communication module, an alarm module, and a dangerous driving correction module.

9. The system for predicting dangerous driving behaviors based on deep learning according to claim 8, characterized in that, The information communication module is used to transmit the dangerous driving behaviors determined by the dangerous driving behavior detection terminal to the dangerous driving behavior reminder terminal, and perform image display and voice reminder through the image display reminder module and the voice reminder module, so that the driver can timely know that he is performing dangerous driving. During the reminder process, the alarm module performs sound and light alarms, achieving a good warning effect. After the driver knows the dangerous driving, he corrects the driving through the dangerous driving correction module to ensure that the driver is always in safe driving, realizing the prediction of dangerous driving behaviors.

10. A method for predicting dangerous driving behaviors based on deep learning as described in claims 1-9, characterized in that, It includes the following steps: S1: The dangerous driving behavior supervision terminal supervises the driver's operation behaviors of dangerous driving and determines that the driver is performing dangerous driving. S2: The dangerous driving behavior detection terminal detects the driver's operation behaviors of dangerous driving and determines the dangerous driving operation behaviors performed by the driver for easy reminder and correction. S3: The dangerous driving behavior reminder terminal reminds the driver of the dangerous driving operation behaviors performed and reminds the driver to drive safely, realizing the prediction of dangerous driving behaviors based on deep learning.

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