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CN112950900A - Driver behavior monitoring and detecting method - Google Patents

Driver behavior monitoring and detecting method Download PDF

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Publication number
CN112950900A
CN112950900A CN202110114044.7A CN202110114044A CN112950900A CN 112950900 A CN112950900 A CN 112950900A CN 202110114044 A CN202110114044 A CN 202110114044A CN 112950900 A CN112950900 A CN 112950900A
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CN
China
Prior art keywords
driver
monitoring
warning
behavior
camera
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202110114044.7A
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Chinese (zh)
Inventor
范卓琳
吴溪
金秋
朱珊锋
陈海峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jilin Yun Fan Intelligent Engineering Co ltd
Original Assignee
Jilin Yun Fan Intelligent Engineering Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Jilin Yun Fan Intelligent Engineering Co ltd filed Critical Jilin Yun Fan Intelligent Engineering Co ltd
Priority to CN202110114044.7A priority Critical patent/CN112950900A/en
Publication of CN112950900A publication Critical patent/CN112950900A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808Diagnosing performance data
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/57Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143Alarm means

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Automation & Control Theory (AREA)
  • Emergency Management (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Business, Economics & Management (AREA)
  • Human Computer Interaction (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention discloses a driver behavior monitoring and detecting method, which comprises the following steps: accessories such as a camera, an alarm, an inductor, a warning lamp and the like are arranged in the automobile body; the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, and after fatigue driving or unsafe behaviors are found, firstly, the voice of the output system is recognized, the warning lamp emits warning voice, and the warning lamp flickers to prompt. The invention can monitor the driving behavior of the driver in real time, remind the driver in time when the driver has abnormal driving behavior in the driving process, thereby effectively reducing the occurrence rate of traffic accidents, carry out early warning or warning reminding, and combine the gravity sensor or the gyroscope to carry out real-time analysis on the gravity sensor and the data of the gyroscope, thereby better realizing the multifunctionality and intellectualization, effectively detecting and reminding the driver, further reducing the occurrence of traffic accidents in a certain procedure and ensuring the life and property safety of people to a certain extent.

Description

Driver behavior monitoring and detecting method
Technical Field
The invention relates to the technical field of safe driving of automobiles, in particular to a driver behavior monitoring and detecting method.
Background
The automobile safety is divided into two aspects of active safety and passive safety for vehicles, the active safety is to operate and control the automobile as freely as possible, the automobile is not only braked and accelerated on a straight line or in left and right driving directions to be as stable as possible and not to deviate from a set travelling route, but also the view field and the comfort of a driver are not influenced, the automobile has higher accident avoidance capability to ensure the automobile safety under the condition of an emergency, the passive safety refers to the protection of passengers after the automobile has an accident, the concept of the protection and all people or objects extending to the inside and the outside of the automobile at present, and the passive safety can be quantized to a certain degree because the international automobile boundary has very detailed test detail regulations for the passive safety.
When a driver operates an automobile, in order to avoid accidents, the driving behavior of the driver needs to be monitored, and during monitoring, the driving behavior of the driver cannot be monitored, and some non-standard behaviors of the driver cannot be warned in time.
Disclosure of Invention
The invention aims to provide a driver behavior monitoring and detecting method to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a driver behavior monitoring and detecting method comprises the following steps:
s1, mounting accessories such as a camera, an alarm, an inductor, a warning lamp and the like in the automobile body;
s2, monitoring the driving behavior and face of a driver through a camera, monitoring the driving behavior of the driver through a sensor, recognizing the voice of an output system and a warning lamp to send out warning voice and flash of the warning lamp for prompting after fatigue driving or unsafe behavior is found, and controlling the output system to send an alarm to a remote control center to control the driver if the driver continues fatigue driving or unsafe driving after prompting;
s3, analyzing the gravity sensor and the gyroscope data in real time by using the gravity sensor or the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and synchronously warning the behaviors of rapid acceleration, rapid deceleration or rapid turning;
s4, data and photos are transmitted to a master control room through the Internet of things, recording is facilitated, and detection of driver behavior monitoring can be completed.
Preferably, when the camera is installed in step S1, the shooting position of the camera needs to be adjusted, so that the camera can shoot the faces of the driver and the driver conveniently.
Preferably, the number of the cameras in the step S1 may be two, one monitoring driver, one monitoring accelerator pedal, one monitoring brake pedal, and one monitoring clutch pedal.
Preferably, in step S1, a face recognition device may be installed in the vehicle body to confirm the identity of the driver and to conveniently recognize the identity of the passenger.
Preferably, the warning or alarm in step S2 is a buzzer sound with increasing time, increasing volume and increasing frequency.
Preferably, in step S2, when the driver is found to make a call for a long time, the driver is not operating the driver' S controller, the prompt is also made.
Preferably, in step S2, the cameras control the multiple cameras to record video simultaneously through one of Android, WinCE, Linux, and MCU.
Preferably, in step S4, the pictures and data may be transmitted by a wireless transmitter.
Compared with the prior art, the invention has the beneficial effects that: the invention can monitor the driving behavior of a driver in real time, timely remind the driver when abnormal driving behavior occurs in the driving process of the driver so as to effectively reduce the occurrence rate of traffic accidents, and give warning, smoking detection, telephone call detection, eating detection, yawning warning, blinking/eye closing warning, safety belt unfastening warning, two-hand leaving driver controller warning, head lowering/head deviating warning for warning or warning reminding when other people interfere with normal driving of the driver.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a driver behavior monitoring and detecting method comprises the following steps:
s1, mounting accessories such as a camera, an alarm, an inductor, a warning lamp and the like in the automobile body;
s2, monitoring the driving behavior and face of a driver through a camera, monitoring the driving behavior of the driver through a sensor, recognizing the voice of an output system and a warning lamp to send out warning voice and flash of the warning lamp for prompting after fatigue driving or unsafe behavior is found, and controlling the output system to send an alarm to a remote control center to control the driver if the driver continues fatigue driving or unsafe driving after prompting;
s3, analyzing the gravity sensor and the gyroscope data in real time by using the gravity sensor or the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and synchronously warning the behaviors of rapid acceleration, rapid deceleration or rapid turning;
s4, data and photos are transmitted to a master control room through the Internet of things, recording is facilitated, and detection of driver behavior monitoring can be completed.
The first embodiment is as follows:
firstly, mounting accessories such as a camera, an alarm, an inductor, a warning lamp and the like in a vehicle body; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers for prompting, if the driver continues fatigue driving or unsafe driving behavior after prompting, the output system is controlled to send an alarm to a remote control center to control the driver, then the gravity sensor or a gyroscope is used for carrying out real-time analysis on gravity sensing and gyroscope data, the acceleration/deceleration and turning degree of a vehicle body are obtained, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example two:
in the first embodiment, the following steps are added:
when the camera is installed in the step S1, the shooting position of the camera needs to be adjusted, so that the camera can shoot the faces of the driver and the driver conveniently.
Firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, and the camera can conveniently shoot the faces of a driver controller and a driver; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers for prompting, if the driver continues fatigue driving or unsafe driving behavior after prompting, the output system is controlled to send an alarm to a remote control center to control the driver, then the gravity sensor or a gyroscope is used for carrying out real-time analysis on gravity sensing and gyroscope data, the acceleration/deceleration and turning degree of a vehicle body are obtained, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example three:
in the second embodiment, the following steps are added:
the number of the cameras in the step S1 can be two, one for monitoring the driver controller, one for monitoring the accelerator pedal, the brake pedal and the clutch pedal.
Firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one is used for monitoring the driver controller, and the other is used for monitoring an accelerator pedal, a brake pedal and a clutch pedal; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers for prompting, if the driver continues fatigue driving or unsafe driving behavior after prompting, the output system is controlled to send an alarm to a remote control center to control the driver, then the gravity sensor or a gyroscope is used for carrying out real-time analysis on gravity sensing and gyroscope data, the acceleration/deceleration and turning degree of a vehicle body are obtained, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example four:
in the third embodiment, the following steps are added:
in step S1, a face recognition device may be installed in the vehicle body to confirm the identity of the driver and to facilitate the identification of the passenger.
The method comprises the following steps that firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal can be installed in the vehicle body, a face recognition device can be installed in the vehicle body, the identity of the driver can be confirmed, and the identity of a passenger can be conveniently recognized; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers for prompting, if the driver continues fatigue driving or unsafe driving behavior after prompting, the output system is controlled to send an alarm to a remote control center to control the driver, then the gravity sensor or a gyroscope is used for carrying out real-time analysis on gravity sensing and gyroscope data, the acceleration/deceleration and turning degree of a vehicle body are obtained, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example five:
in the fourth example, the following steps were added:
the warning or alert in step S2 is a beep sound with increasing time, increasing volume, and increasing frequency.
The method comprises the following steps that firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal can be installed in the vehicle body, a face recognition device can be installed in the vehicle body, the identity of the driver can be confirmed, and the identity of a passenger can be conveniently recognized; then, monitoring the driving behavior and the face of a driver through a camera, monitoring the driving behavior of the driver through an inductor, recognizing the voice of an output system and sending out warning voice and warning lamp flicker for prompting after fatigue driving or unsafe behavior is found, and controlling the output system to send an alarm to a remote control center to control the driver if the driver continues the fatigue driving or unsafe driving behavior after prompting, wherein the early warning or warning reminding is buzzing sound with the time increase, the volume gradually increase and the frequency gradually increase; then, a gravity sensor or a gyroscope is used for carrying out real-time analysis on the gravity sensor and the data of the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example six:
in the fifth example, the following steps were added:
in step S2, when the driver is found to be calling for a long time, the driver has both hands away from the driver controller, and the driver controller is operated, a prompt is also made.
The method comprises the following steps that firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal can be installed in the vehicle body, a face recognition device can be installed in the vehicle body, the identity of the driver can be confirmed, and the identity of a passenger can be conveniently recognized; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers to prompt, if the driver continues fatigue driving or unsafe driving behavior after the prompt, the output system is controlled to send an alarm to a remote control center to control the driver, early warning or warning reminding is buzzing sound which is increased along with the increase of time, the gradual increase of volume and the gradual increase of frequency, and when the driver calls for a long time, and the driver is operated while two hands leave the driver, the driver is also prompted; then, a gravity sensor or a gyroscope is used for carrying out real-time analysis on the gravity sensor and the data of the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example seven:
in example six, the following steps were added:
in the step S2, the cameras control the multiple cameras to record video simultaneously through one of Android, WinCE, Linux, or MCU.
The method comprises the following steps that firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal can be installed in the vehicle body, a face recognition device can be installed in the vehicle body, the identity of the driver can be confirmed, and the identity of a passenger can be conveniently recognized; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers to prompt, if the driver continues fatigue driving or unsafe driving behavior after the prompt, the output system is controlled to send an alarm to a remote control center to control the driver, early warning or warning reminding is buzzing sound which is increased along with the increase of time, the gradual increase of volume and the gradual increase of frequency, when the driver calls for a long time, the driver leaves the driver by two hands and operates the driver, the driver also prompts, and the cameras control a plurality of cameras to record videos simultaneously through one system of Android, WinCE, Linux or MCU; then, a gravity sensor or a gyroscope is used for carrying out real-time analysis on the gravity sensor and the data of the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the photos are transmitted to a master control room through the Internet of things, so that the records are convenient to record, and the detection of driver behavior monitoring can be completed.
Example eight:
in example seven, the following steps were added:
the pictures and data may be transmitted through a wireless transmitter in step S4.
The method comprises the following steps that firstly, accessories such as a camera, an alarm, an inductor, a warning lamp and the like are installed in a vehicle body, when the camera is installed, the shooting position of the camera needs to be adjusted, the camera can conveniently shoot the faces of a driver controller and a driver, the number of the cameras can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal can be installed in the vehicle body, a face recognition device can be installed in the vehicle body, the identity of the driver can be confirmed, and the identity of a passenger can be conveniently recognized; then the driving behavior and the face of a driver are monitored through the camera, the driving behavior of the driver is monitored through the sensor, after fatigue driving or unsafe behavior is found, firstly, voice of the output system is recognized, the warning lamp can send out warning voice and the warning lamp flickers to prompt, if the driver continues fatigue driving or unsafe driving behavior after the prompt, the output system is controlled to send an alarm to a remote control center to control the driver, early warning or warning reminding is buzzing sound which is increased along with the increase of time, the gradual increase of volume and the gradual increase of frequency, when the driver calls for a long time, the driver leaves the driver by two hands and operates the driver, the driver also prompts, and the cameras control a plurality of cameras to record videos simultaneously through one system of Android, WinCE, Linux or MCU; then, a gravity sensor or a gyroscope is used for carrying out real-time analysis on the gravity sensor and the data of the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and the behavior of rapid acceleration, rapid deceleration or rapid turning is synchronously warned; and finally, the data and the pictures are transmitted to a master control room through the Internet of things, so that the records are convenient to carry out, the detection of driver behavior monitoring can be completed, and the pictures and the data can be transmitted through a wireless transmitter.
The invention can monitor the driving behavior of a driver in real time, timely remind the driver when abnormal driving behavior occurs in the driving process of the driver so as to effectively reduce the occurrence rate of traffic accidents, and give warning, smoking detection, telephone call detection, eating detection, yawning warning, blinking/eye closing warning, safety belt unfastening warning, two-hand leaving driver controller warning, head lowering/head deviating warning for warning or warning reminding when other people interfere with normal driving of the driver.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. A driver behavior monitoring and detecting method is characterized in that: the method comprises the following steps:
s1, mounting accessories such as a camera, an alarm, an inductor, a warning lamp and the like in the automobile body;
s2, monitoring the driving behavior and face of a driver through a camera, monitoring the driving behavior of the driver through a sensor, recognizing the voice of an output system and a warning lamp to send out warning voice and flash of the warning lamp for prompting after fatigue driving or unsafe behavior is found, and controlling the output system to send an alarm to a remote control center to control the driver if the driver continues fatigue driving or unsafe driving after prompting;
s3, analyzing the gravity sensor and the gyroscope data in real time by using the gravity sensor or the gyroscope to obtain the acceleration/deceleration and turning degree of the vehicle body, and synchronously warning the behaviors of rapid acceleration, rapid deceleration or rapid turning;
s4, data and photos are transmitted to a master control room through the Internet of things, recording is facilitated, and detection of driver behavior monitoring can be completed.
2. The driver behavior monitoring detection method as claimed in claim 1, wherein: when the camera is installed in the step S1, the shooting position of the camera needs to be adjusted, so that the camera can shoot the faces of the driver and the driver conveniently.
3. The driver behavior monitoring detection method as claimed in claim 1, wherein: the number of the cameras in the step S1 can be two, one monitoring driver controller, one monitoring accelerator pedal, one monitoring brake pedal and one monitoring clutch pedal.
4. The driver behavior monitoring detection method as claimed in claim 1, wherein: in the step S1, a face recognition device may be installed in the vehicle body to confirm the identity of the driver and to facilitate the identification of the passenger.
5. The driver behavior monitoring detection method as claimed in claim 1, wherein: in the step S2, the warning or warning is a beep sound with increasing time, increasing volume and increasing frequency.
6. The driver behavior monitoring detection method as claimed in claim 1, wherein: the step S2 also prompts the driver when the driver is found to make a call for a long time, the driver has both hands away from the driver, and the driver is operated.
7. The driver behavior monitoring detection method as claimed in claim 1, wherein: in the step S2, the cameras control the multiple cameras to record video simultaneously through one of Android, WinCE, Linux, or MCU.
8. The driver behavior monitoring detection method as claimed in claim 1, wherein: in step S4, the pictures and data may be transmitted by a wireless transmitter.
CN202110114044.7A 2021-01-27 2021-01-27 Driver behavior monitoring and detecting method Withdrawn CN112950900A (en)

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Cited By (2)

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Publication number Priority date Publication date Assignee Title
CN114228734A (en) * 2021-12-29 2022-03-25 慧之安信息技术股份有限公司 Automatic reminding method and device based on deep learning
CN117549915A (en) * 2024-01-12 2024-02-13 常州海图信息科技股份有限公司 Mining driver driving behavior monitoring device and method

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