A driving pre-warning method and system based on automobile driving action recognition

By combining multi-dimensional data processing, including images of the vehicle's control pedals, interior, and front views with audio signals, the problem of existing driving monitoring products being unable to recognize driver operations in real time has been solved. This enables real-time warnings of driver actions and accurate determination of accident liability, thereby improving driving safety.

CN115743164BActive Publication Date: 2026-06-19SHENZHEN SHOUZHEAN TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN SHOUZHEAN TECH CO LTD
Filing Date
2022-12-16
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing vehicle monitoring products cannot identify in real time whether the driver's driving operation is accurate, cannot provide early warnings, and the consistency and accuracy of video recording time are difficult to guarantee, thus failing to provide effective driving safety warnings before an accident occurs.

Method used

By recognizing images of the vehicle's control pedals, interior, and front, as well as audio signals, and combining this with a pre-set driving event database, the system can determine driver actions in real time and issue warnings. By using multi-dimensional data association storage and signal recognition calibration, it avoids temporal discrepancies in video recordings, thereby improving recognition accuracy and warning precision.

Benefits of technology

It enables real-time recognition and early warning of driver operations, improves the time consistency and accuracy of driving records, provides a faster basis for determining accident liability, and enhances driving safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a driving warning method and system based on vehicle driving action recognition. The method includes: acquiring images of vehicle control pedals, acquiring and recognizing images of the vehicle interior, acquiring and recognizing images of the front of the vehicle, and acquiring and recognizing sounds emitted from inside the vehicle. It not only recognizes and records the driver's accelerator and brake actions but also records the vehicle's driving status. The recognized signals are used as a "control switch" to avoid redundant recording and storage of data when the vehicle is not in a driving state. The accuracy of pedal recognition is improved by setting different pedal recognition areas and custom preset pedal states. Driving actions are tracked and recognized by combining a preset driving event database and driving data. This invention solves the problem that existing driving monitoring products cannot perform real-time recording of driver accelerator and brake pedal operation and unified management of vehicle information recording, providing better driving action recognition and warning functions, and helping to improve driver safety.
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Description

Technical Field

[0001] This invention relates to the field of vehicle driving action monitoring technology, and in particular to a driving warning method and system based on vehicle driving action recognition. Background Technology

[0002] With the increasing number of cars on the road, people are paying more and more attention to driving safety, especially since most mid-to-high-end and new energy vehicles are equipped with autonomous driving or cruise control functions. If an accident occurs with these vehicles, it is often difficult to understand the driver's actual driving situation without sufficient vehicle driving data and driver operation records. Determining whether the accident was caused by a malfunction in the vehicle itself or by driver error is also difficult. Therefore, various driving monitoring products have emerged on the market that monitor whether the driver is pressing the accelerator or the brake pedal. These products mostly use cameras to record the driver's foot movements. After an accident, the video recordings are reviewed to determine the actual driving situation at the time of the accident. While these types of driving monitoring products have initially solved the problem of recording drivers' foot movements, every driver wants to avoid traffic accidents, not just rely on video evidence after an accident. Furthermore, existing foot pedal monitoring products on the market are independent recording devices that only operate when the vehicle is started. This leads to uncertainties in event and time recording, making it difficult to guarantee consistency between the recorded driving time and the actual accident time. Even memory card malfunctions can prevent the determination of accident liability. They also cannot identify the accuracy of the driver's actions based on the current driving conditions, nor can they pre-set recognition conditions for foot movements to determine if the driver's actions match the current driving scenario. Finally, they cannot issue early driving safety warnings to the driver. Summary of the Invention

[0003] To overcome the shortcomings of the prior art, this invention provides a driving warning method and system based on vehicle driving action recognition.

[0004] This invention is achieved through the following technical solution:

[0005] A driving warning method based on vehicle driving action recognition, the method comprising:

[0006] Acquire an image of the vehicle control pedals, and define brake pedal recognition areas and accelerator pedal recognition areas on the vehicle control pedal image.

[0007] When the brake pedal is detected to be pressed in the brake pedal recognition area, a recognition signal is emitted.

[0008] When the accelerator pedal is detected to be pressed in the accelerator pedal recognition area, recognition signal two is issued;

[0009] Acquire and recognize images of the vehicle's interior; when it detects that someone is inside the vehicle, it issues a recognition signal.

[0010] Acquire and recognize the image in front of the vehicle; when the image in front is detected to be moving relative to the vehicle body, a recognition signal is emitted.

[0011] Acquire and identify sounds emitted from inside the vehicle; when the identified sound matches a preset sound condition, issue identification signal five.

[0012] When any one or more of the identification signals 1, 2, 3, 4, and 5 are received, the received identification signal and the start time of the identification signal being sent are recorded, and a timer is started until no more identification signals are received. The duration is recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, and the sound are stored in a time-based data association.

[0013] Determine whether the received identification signal, the start time of the identification signal, and the duration of the signal match preset driving event database parameters:

[0014] If so, then match the preset warning action corresponding to the preset driving event database, and provide the warning prompt to the driver with sound and image feedback;

[0015] If not, the received identification signal and the start time and duration of the identification signal are tracked to determine whether they exceed the preset safety parameter range of the preset driving event database. If they exceed the preset safety parameter range, the driver is prompted with sound and image that they cannot recognize the current driving scenario and should pay attention to safe driving. The system also confirms whether to update the identification signal data received in the current scenario to the preset driving event database parameter record.

[0016] The method further includes: acquiring vehicle status data and issuing an identification signal, wherein the vehicle status data includes battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status;

[0017] When the identification signal is received, the received identification signal, the start time of the identification signal, the duration, and the vehicle status data are recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, the sound, and the vehicle status data are stored in a time-based association.

[0018] Determine whether the received identification signal, the start time of the identification signal, the duration, and the vehicle status data match the preset driving event database parameters.

[0019] The method specifically includes: the identification signal one, the identification signal two, the identification signal three, the identification signal four, and the identification signal five are digital identification codes or letter identification codes, and the preset driving event database determines whether the parameters match the digital identification code or the letter identification code.

[0020] The step of acquiring the vehicle control pedal image further includes: setting a brake pedal recognition area and an accelerator pedal recognition area on the vehicle control pedal image, and presetting the pedal pressing state and customizing the brake pedal pressing state and accelerator pedal pressing state by taking images of different foot pedal states.

[0021] The method further includes: when identification signal six, identification signal five, and identification signal two are identified simultaneously, and the acquired vehicle status data matches the preset driving event database parameters, the preset driving event database parameters are invoked to issue an audio and visual warning to the driver.

[0022] A driving warning system based on vehicle driving action recognition, the system comprising:

[0023] The vehicle control pedal status recognition module is used to identify the pressed status of the brake pedal and accelerator pedal;

[0024] The vehicle interior image recognition module is used to capture and identify the state of the vehicle's interior environment.

[0025] The vehicle front image recognition module is used to capture images of the road conditions in front of the vehicle and identify driving information;

[0026] The event recording and early warning processing device is used to receive and process identification signals, store images, sounds, preset driving event database data, record event times, analyze and judge driving actions, and make early warning responses;

[0027] The vehicle control pedal status recognition module, the vehicle interior image recognition module, and the vehicle front image recognition module are respectively connected to the event recording and early warning processing device.

[0028] Furthermore, the event recording and early warning processing device specifically includes:

[0029] The signal processing unit is used to receive and process the recognition signals sent by the vehicle control pedal status recognition module, the internal image recognition module, and the vehicle front image recognition module;

[0030] The voice recognition and matching unit is used to collect human voices and identify whether they match preset voice conditions;

[0031] The data storage unit, controlled by the recognition signal processing unit, is used to store image data captured by the vehicle control pedal status recognition module, the internal image recognition module, and the vehicle front image recognition module, as well as sound data collected by the sound recognition matching unit.

[0032] The time recording unit is used to calibrate the data recording time of the vehicle control pedal state recognition module, the internal image recognition module, the vehicle front image recognition module, and the sound recognition matching unit, and to calculate the start time and duration of the signal processing unit receiving the recognition signal.

[0033] The analysis and judgment unit is used to analyze and judge whether the identification signal received by the signal processing unit and the time data recorded by the time recording module match the preset driving event database parameters.

[0034] A preset event processing unit is used to match a corresponding preset action based on the judgment result of the analysis and judgment module.

[0035] The early warning triggering unit is used to trigger an early warning response based on a preset action issued by the preset event processing module;

[0036] The warning triggering unit also includes a speaker, which can be used to play the preset action trigger warning response sound.

[0037] Furthermore, the system also includes a vehicle status acquisition module, used to acquire vehicle battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status.

[0038] Furthermore, the event recording and early warning processing device also includes: a wireless communication unit, which is a Bluetooth communication chip or a WIFI communication chip; and a touch unit for sending and receiving instructions from the signal processing unit and the early warning triggering unit.

[0039] Furthermore, the system also includes an interactive touch device, and the event recording and early warning processing device is communicatively connected to the interactive touch device via a wireless communication unit. The interactive touch device includes a touchscreen, a mobile phone, or a tablet computer.

[0040] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0041] This invention records and identifies the vehicle's driving environment, driver actions, and vehicle status from multiple dimensions. It not only records the driver's accelerator and brake actions but also the vehicle's driving status. Based on time calibration of image data and recognition signals, it avoids time discrepancies caused by different camera angles recording the same time, making it faster and more accurate to retrieve driving records from a unified time as supplementary evidence for accident liability. This invention also utilizes the recognition signal as a "control switch," avoiding redundant recording and storage of data when the driver is not driving. By setting different pedal recognition areas and customizing preset pedal states, it improves the accuracy of pedal recognition. Combined with a preset driving event database and driving data, it tracks and identifies driving actions. This invention solves the problem that existing driving monitoring products cannot record real-time video of the driver's accelerator and brake pedal actions and provide unified management of vehicle information recording, thus better providing driving action recognition and early warning functions and helping to improve driver safety. Attached Figure Description

[0042] Figure 1 This is a flowchart illustrating a driving warning method based on vehicle driving action recognition according to an embodiment of the present invention.

[0043] Figure 2 This is a structural block diagram of a driving warning system based on vehicle driving action recognition according to an embodiment of the present invention;

[0044] Figure 3 This is a block diagram of an event recording and early warning processing device for a driving early warning system based on vehicle driving action recognition, according to Embodiment 1 of the present invention.

[0045] Figure 4 This is a structural block diagram of a driving warning system based on vehicle driving action recognition according to Embodiment 2 of the present invention;

[0046] Figure 5 This is a schematic diagram illustrating the usage status of a driving warning system based on vehicle driving action recognition, according to Embodiment 2 of the present invention.

[0047] The markings in the diagram are as follows: 1. Vehicle control pedal status recognition module; 2. Internal image recognition module; 3. Vehicle front image recognition module; 4. Event recording and early warning processing device; 5. Interactive touch device. Detailed Implementation

[0048] The technical solution of the present invention will be further described below with reference to the accompanying drawings, but the present invention is not limited to these embodiments.

[0049] Example 1

[0050] like Figures 1 to 3As shown, this invention proposes a driving warning method based on vehicle driving action recognition. The method includes: acquiring images of the vehicle control pedals; acquiring images of the accelerator and brake pedals directly from a camera installed under the steering wheel dashboard in neutral position; transmitting the acquired images to an event recording and warning processing device 4; the event recording and warning processing device 4 having preset brake pedal recognition areas and accelerator pedal recognition areas; and the driver being able to drag the preset brake pedal recognition areas and accelerator pedal recognition areas to corresponding positions on the vehicle control pedal images to complete the setting of the brake pedal recognition areas and accelerator pedal recognition areas.

[0051] Furthermore, since different drivers wearing different shoes may interfere with recognition, the event recording and warning processing device 4 can be customized with different brake pedal and accelerator pedal depressing states. This can be achieved by capturing images of different foot positions or different shoes to preset pedal depressing states, thereby enhancing image recognition capabilities. Preferably, the OpenCV corner feature point extraction and matching algorithm is used for image recognition.

[0052] When the brake pedal is detected to be depressed in the brake pedal recognition area, the vehicle control pedal status recognition module 1 sends out a recognition signal.

[0053] When the accelerator pedal is detected to be pressed in the accelerator pedal recognition area, the vehicle control pedal status recognition module 1 sends out recognition signal 2.

[0054] It acquires and identifies images inside the vehicle, and when it detects that there are people inside the vehicle, it sends out an identification signal. The camera with a millimeter-wave sensor combined with Azcom's proprietary algorithm can detect the activities of people inside the vehicle.

[0055] The system acquires and identifies images in front of the vehicle. When movement of the image in front relative to the vehicle is detected, an identification signal is emitted. The system identifies images in front of the vehicle through motion detection and human detection. Motion detection is a signal emitted by the camera based on changes in the pixels of the monitored image. Human detection is a signal emitted by an intelligent algorithm based on the identification and analysis of the image within the frame.

[0056] The system acquires and identifies sounds emitted from inside the vehicle. When the identified sound matches a preset sound condition, it issues an identification signal five. The preset sound condition is set using speech synthesis technology. For example, if the preset sound condition is "brake brake", the corresponding identification signal five is issued. As long as the sound matches the preset sound condition, the identification signal is triggered. Since the preset sound condition is limited, identification is only required for the preset sound condition, avoiding the waste of system resources and impact on operating speed caused by using speech recognition technology.

[0057] Acquire vehicle status data and send out identification signal six. The vehicle status data includes battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status.

[0058] When any one or more of the identification signals 1, 2, 3, 4, and 5 are received, the received identification signal and the start time of its transmission are recorded, and a timer is started until no more identification signals are received. The duration is recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, and the sound are stored as a data association based on time. For example, if the time of the vehicle control pedal image is 10:01:03, the time of the vehicle interior image is 10:02:06, and the time of the vehicle front image is 10:00:04, then the vehicle control pedal image, the vehicle interior image, and the vehicle front image are uniformly corrected and recorded based on the system time of the event recording and early warning processing device 4, which is 10:01:05.

[0059] When the identification signal is received, the received identification signal, the start time of the identification signal, the duration, and the vehicle status data are recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, the sound, and the vehicle status data are stored in a time-based association.

[0060] The system determines whether the received identification signal, its start time, duration, and vehicle status data match the parameters of a preset driving event database. This database includes preset condition parameters such as accidental accelerator pedal press and speeding events, as well as preset warning action parameters. Based on these parameters, the system determines whether the received identification signal matches the parameters and whether the start time and duration of the identification signal reach parameter thresholds.

[0061] If so, the preset warning action corresponding to the preset driving event database will be matched, and the warning prompt will be fed back to the driver with sound and image.

[0062] If not, the received identification signal and the start time and duration of the identification signal are tracked to determine whether they exceed the preset safety parameter range of the preset driving event database. If they exceed the preset safety parameter range, the driver is prompted with sound and image that the current driving scenario cannot be identified and to pay attention to safe driving. The system also confirms whether to update the identification signal data received in the current scenario to the preset driving event database parameter record. The recorded parameters can be used for subsequent warning identification.

[0063] When recognition signal six, recognition signal five, and recognition signal two are simultaneously detected, and the acquired vehicle status data matches the preset driving event database parameters, the preset driving event database parameters are invoked to issue an audio and visual warning to the driver. For example, if recognition signal six indicates the car is accelerating, recognition signal five indicates "brake," and recognition signal two indicates the accelerator pedal is pressed, the preset driving event database parameters are invoked to issue an audio and visual warning to the driver that "you have pressed the wrong accelerator pedal, please press the brake instead."

[0064] The identification signal 1, identification signal 2, identification signal 3, identification signal 4, and identification signal 5 are digital identification codes or letter identification codes. The preset driving event database determines whether the parameters match the digital identification code or the letter identification code. The identification signal 6 is vehicle status data. Using identification codes as identification signals enables unified and rapid management of each identification module without occupying the device's processor memory and other resources for identification and calculation, thereby accelerating the efficiency of identification, early warning, and linkage.

[0065]

[0066]

[0067] The present invention also provides a driving warning system based on vehicle driving action recognition, the system comprising:

[0068] Vehicle control pedal status recognition module 1, wherein the vehicle control pedal status recognition module 1 is a camera with a signal transmission and reception function chip, used to recognize the pressing status of the brake pedal and accelerator pedal;

[0069] The vehicle interior image recognition module 2 is a camera equipped with a millimeter-wave sensor and a signal transmission and reception chip, used to capture and recognize the state of the vehicle interior environment.

[0070] The vehicle front image recognition module 3 is equipped with an image activity detection function and a GPS camera, which is used to capture the road conditions in front of the vehicle and identify driving information. The GPS can record the driving speed.

[0071] The event recording and early warning processing device 4 is used to receive and process identification signals, store images, sounds, preset driving event database data, record event time, analyze and judge driving actions, and make early warning responses;

[0072] The vehicle control pedal status recognition module 1, the vehicle interior image recognition module 2, and the vehicle front image recognition module 3 are respectively connected to the event recording and early warning processing device 4.

[0073] The event recording and early warning processing device 4 specifically includes:

[0074] The signal processing unit is used to receive and process the recognition signals sent by the vehicle control pedal status recognition module 1, the internal image recognition module 2, and the vehicle front image recognition module 3;

[0075] The voice recognition and matching unit uses a microphone and a speech synthesis technology chip to match the preset sound conditions, and is used to collect human voice and identify whether it matches the preset sound conditions.

[0076] The data storage unit, controlled by the recognition signal processing unit, is used to store image data captured by the vehicle control pedal state recognition module 1, the internal image recognition module 2, and the vehicle front image recognition module 3, as well as sound data collected by the sound recognition matching unit.

[0077] The time recording unit is used to calibrate the data recording time of the vehicle control pedal state recognition module 1, the internal image recognition module 2, the vehicle front image recognition module 3, and the sound recognition matching unit, and to calculate the start time and duration of the signal processing unit receiving the recognition signal.

[0078] The analysis and judgment unit is used to analyze and judge whether the identification signal received by the signal processing unit and the time data recorded by the time recording module match the preset driving event database parameters.

[0079] The preset event processing unit is used to call the preset warning action parameters of the preset driving event library and match the corresponding preset action according to the judgment result of the analysis and judgment module.

[0080] The early warning triggering unit is used to trigger an early warning response based on a preset action issued by the preset event processing module;

[0081] The warning triggering unit also includes a speaker, which can be used to play the preset action trigger warning response sound.

[0082] The system also includes a vehicle status acquisition module, which is a CAN bus protocol decoding module. It is connected to the car ECU computer interface via a data cable and is used to acquire vehicle battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status.

[0083] The event recording and early warning processing device 4 further includes: a wireless communication unit, which is a Bluetooth communication chip or a WIFI communication chip; and a touch unit, which is a touch screen installed on the event recording and early warning processing device 4, used for sending and receiving instructions from the signal processing unit and the early warning triggering unit.

[0084] Example 2

[0085] like Figures 4 to 5 As shown, based on Embodiment 1, the present invention improves the control method of the system. The system also includes an interactive touch device 5. The event recording and early warning processing device 4 is connected to the interactive touch device 5 via a wireless communication unit. The interactive touch device 5 includes a touch screen, a mobile phone, and a tablet computer. By communicating with the event recording and early warning processing device 4 and installing a driving early warning system management APP through the interactive touch device 5, interconnection and control with the vehicle touch screen, mobile phone, and tablet computer can be achieved.

[0086] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] The steps in the method of this invention can be various predefined operations built into the system, which can be selected and triggered by the operator.

[0088] Those skilled in the art to which this invention pertains may make various modifications or additions to the specific embodiments described, or use similar methods to replace them, without departing from the spirit of the invention or exceeding the scope defined by the appended claims.

Claims

1. A driving warning method based on vehicle driving action recognition, characterized in that, The method includes: Acquire an image of the vehicle control pedals, and define brake pedal recognition areas and accelerator pedal recognition areas on the vehicle control pedal image. When the brake pedal is detected to be pressed in the brake pedal recognition area, a recognition signal is emitted. When the accelerator pedal is detected to be pressed in the accelerator pedal recognition area, recognition signal two is issued; Acquire and recognize images of the vehicle's interior; when it detects that someone is inside the vehicle, it issues a recognition signal. Acquire and recognize the image in front of the vehicle; when the image in front is detected to be moving relative to the vehicle body, a recognition signal is emitted. Acquire and identify sounds emitted from inside the vehicle; when the identified sound matches a preset sound condition, issue identification signal five. When any one or more of the identification signals 1, 2, 3, 4, and 5 are received, the received identification signal and the start time of the identification signal being sent are recorded, and a timer is started until no more identification signals are received. The duration is recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, and the sound are stored in a time-based data association. Determine whether the received identification signal, the start time of the identification signal, and the duration of the signal match preset driving event database parameters: If so, then match the preset warning action corresponding to the preset driving event database, and provide the warning prompt to the driver with sound and image feedback; If not, the received identification signal and the start time and duration of the identification signal are tracked, and it is determined whether it exceeds the preset safety parameter range of the preset driving event database. If it exceeds the preset safety parameter range, the driver is prompted with sound and image that he cannot recognize the current driving scene and should pay attention to safe driving. It is also confirmed whether to update the identification signal data received in the current scene to the preset driving event database parameter record.

2. The driving warning method based on vehicle driving action recognition according to claim 1, characterized in that, The method further includes: acquiring vehicle status data and issuing an identification signal, wherein the vehicle status data includes battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status; When the identification signal is received, the received identification signal, the start time of the identification signal, the duration, and the vehicle status data are recorded, and the vehicle control pedal image, the vehicle interior image, the vehicle front image, the sound, and the vehicle status data are stored in a time-based association. Determine whether the received identification signal, the start time of the identification signal, the duration, and the vehicle status data match the preset driving event database parameters.

3. The driving warning method based on vehicle driving action recognition according to claim 2, characterized in that, The method specifically includes: the identification signal one, the identification signal two, the identification signal three, the identification signal four, and the identification signal five are digital identification codes or letter identification codes, and the preset driving event database determines whether the parameters match the digital identification code or the letter identification code.

4. The driving warning method based on vehicle driving action recognition according to claim 3, characterized in that, The step of acquiring the vehicle control pedal image further includes: setting a brake pedal recognition area and an accelerator pedal recognition area on the vehicle control pedal image, and presetting the pedal pressing state and customizing the brake pedal pressing state and accelerator pedal pressing state by taking images of different foot pedal states.

5. The driving warning method based on vehicle driving action recognition according to claim 4, characterized in that, The method further includes: when identification signal six, identification signal five, and identification signal two are identified simultaneously, and the acquired vehicle status data matches the preset driving event database parameters, the preset driving event database parameters are invoked to issue an audio and visual warning to the driver.

6. A driving warning system based on vehicle driving action recognition, wherein the system incorporates the driving warning method based on vehicle driving action recognition as described in any one of claims 1 to 5, characterized in that, The system includes: The vehicle control pedal status recognition module (1) is used to recognize the braking pedal and accelerator pedal depressing status. The vehicle interior image recognition module (2) is used to capture and recognize the state of the vehicle interior environment. The vehicle front image recognition module (3) is used to capture the road conditions in front of the vehicle and recognize driving information; The event recording and early warning processing device (4) is used to receive and process identification signals, and store images, sounds, preset driving event database data, event time records, analyze and judge driving actions, and make early warning responses; The vehicle control pedal status recognition module (1), the vehicle interior image recognition module (2), and the vehicle front image recognition module (3) are respectively connected to the event recording and early warning processing device (4).

7. The driving warning system based on vehicle driving action recognition according to claim 6, characterized in that, The event recording and early warning processing device (4) specifically includes: The signal processing unit is used to receive and process the recognition signals sent by the vehicle control pedal state recognition module (1), the vehicle interior image recognition module (2), and the vehicle front image recognition module (3); The voice recognition and matching unit is used to collect human voices and identify whether they match preset voice conditions; The data storage unit, controlled by the signal processing unit, is used to store image data captured by the vehicle control pedal state recognition module (1), the internal image recognition module (2), the vehicle front image recognition module (3), and sound data collected by the sound recognition matching unit. The time recording unit is used to calibrate the data recording time of the vehicle control pedal state recognition module (1), the internal image recognition module (2), the vehicle front image recognition module (3), and the sound recognition matching unit, and to calculate the start time and duration of the signal processing unit receiving the recognition signal. The analysis and judgment unit is used to analyze and judge whether the identification signal received by the signal processing unit and the time data recorded by the time recording unit match the preset driving event database parameters. A preset event processing unit is used to match a corresponding preset action based on the judgment result of the analysis and judgment unit. The early warning triggering unit is used to trigger an early warning response based on a preset action issued by the preset event processing unit; The warning triggering unit also includes a speaker, which can be used to play the preset action trigger warning response sound.

8. The driving warning system based on vehicle driving action recognition according to claim 7, characterized in that, The system also includes a vehicle status acquisition module, used to acquire vehicle battery power, vehicle speed, brake status, accelerator status, turn signal status, high and low beam status, seat belt status, and handbrake status.

9. The driving warning system based on vehicle driving action recognition according to claim 8, characterized in that, The event recording and early warning processing device (4) further includes: a wireless communication unit, which is a Bluetooth communication chip or a WIFI communication chip; and a touch unit, used for sending and receiving instructions from the signal processing unit and the early warning triggering unit.

10. The driving warning system based on vehicle driving action recognition according to claim 9, characterized in that, The system also includes an interactive touch device (5), and the event recording and early warning processing device (4) is connected to the interactive touch device (5) via a wireless communication unit. The interactive touch device (5) includes a touch screen, a mobile phone, and a tablet computer.