Fatigue driving detection system and use method thereof

Abstract

The invention discloses a fatigue driving detection system and a use method thereof. The fatigue driving detection system comprises a 3D structured light module, a central processing unit module and an alarm system; the 3D structured light module is installed in the front of a vehicle driver seat; the 3D structured light module is used for shooting face characteristics of a driver during driving,and transmitting data shot by the 3D structured light module to the central processing unit module; the central processor module is used for detecting, analyzing and judging whether the driver is in afatigue driving state or not by adopting a bagging algorithm, and sending a signal to the alarm system if the driver is detected to be in fatigue driving; and the alarm system sends out a warning signal to inform the driver not to be in fatigue driving. According to the system, the identification precision is high; the error is small; the driving state of the driver can be judged effectively andtimely; measures are correspondingly adopted when the driver is in fatigue driving; and dangerous driving of the driver is avoided by means of reminding the driver and the like.

Description

technical field [0001] The invention belongs to the technical field of driving fatigue detection, and in particular relates to a fatigue driving detection system and a using method thereof. Background technique [0002] With the rapid development of the economy, the sales of automobiles are gradually increasing. Traffic accidents have become one of the important hidden dangers that threaten human safety. Safe driving depends on many factors. In addition to vehicle conditions, a large number of analysis and research have shown that driver fatigue is one of the main reasons for traffic accidents. [0003] At present, the research methods of driver fatigue detection are roughly divided into the following two categories: 1. Combining the characteristics of the driver's own behavior, using the difference in human behavior characteristics in normal driving and abnormal driving states, formulate corresponding detection methods to carry out on-board fatigue detection . Such as: fa...

AI Technical Summary

Problems solved by technology

Due to individual differences in drivers and driving environments such as light and road surfaces, most of the existing fatigue detection algorithm data are based on experiments in simulated driving environments. In actual driving environments, the misjudgment rate is high and the effect is not good.

Secondly, the position of the light source of the existing camera device is generally set in front of the face, which affects the actual algorithm effect

At the same time, when the infrared light works at night, the imaging will produce shadows and light spots, which will affect the imaging effect of the camera

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