Method, intelligent device and system for preventing fatigue driving
An intelligent device, a technology for fatigue driving, applied in the method, intelligent device and system, in the field of vehicle-mounted fatigue driving prevention, can solve the problems of prone to car accidents, poor subjective ability, ignoring alarms, etc., to achieve high safety performance, high precision, Ease of use effect
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Embodiment 1
[0045] A method of preventing drowsy driving, such as Figure 4 As shown, the method is applied to a smart device for preventing fatigue driving, and the vehicle-mounted system for preventing fatigue driving is used to carry the smart device for application on the vehicle-mounted system. The method includes the following steps:
[0046] Step 1, the smart device collects the driver's personal data information in real time, and uploads the collected data information to the personal mobile terminal 70 and the cloud server 90 respectively, the driver checks the relevant data information in real time through the personal mobile terminal 70, and the authorizer passes the authorization The driver's mobile terminal 80 communicates with the cloud server 90 to check the relevant data information of the driver;
[0047] Step 2. The smart device or cloud server analyzes and processes the collected personal data information, and determines whether the driver is in a fatigue driving state t...
Embodiment 2
[0054] This embodiment is on the basis of embodiment 1, as image 3 As shown, the steps of comprehensive analysis of fatigue index are added, which are as follows:
[0055] Step b1, collecting image data information in front of the driver, GPS or Beidou positioning information, ambient light data information, and ambient temperature and ambient humidity data information in the cab;
[0056] Step b2, collect the driver's brain wave data information, facial features activity data information and head posture data information;
[0057] Step b3: Carry out data analysis on the image data information in front of the driver, GPS or Beidou positioning information, ambient light data information, and temperature and humidity data information to obtain the analysis results of the driver's external environment fatigue, and then separately analyze the driver's Analyze the brain wave data, facial features activity data and head posture data to obtain the analysis results of the fatigue de...
Embodiment 3
[0062] The difference between this embodiment and the above-mentioned embodiments is that when the driver receives the fatigue driving warning information and still does not stop for a rest for a set period of time, or when the smart device collects that the fatigue degree of the driver's physiological environment exceeds the set If the threshold is set and the driver ignores the alarm information and continues to drive, then the driver’s road conditions will be located by GPS or Beidou. parking.
[0063] This method has the function of forced parking, which can force the driver to park and rest, but stopping the car at high speed has certain risks. This method uses GPS or Beidou to locate the current road condition information. If the parking risk of the current road condition is determined If it is lower, it will automatically park through the one-button parking controller, which has high safety.
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