Fatigue driving detection system and method

Abstract

The invention discloses a fatigue driving detection system comprising a shooting device, an MCU and an alarm device which are sequentially connected. The shooting device is used for shooting a driver and sending shot video information to the MCU. The MCU is used for processing the video information to determine whether the driver is in a fatigued driving state; and if so, the alarm device is controlled to send out an alarm signal. The shooting device is arranged in front of a driver's seat horizontally; and a light source is arranged above the shooting device, wherein an included angle of 30 degrees to 60 degrees is formed between the irradiation direction of the light source and the shooting direction of the shooting device. According to the detection system, the light source is arranged above the shooting device and the certain included angle is formed between the irradiation direction of the light source and the shooting direction of the shooting device, so that the driving safety is improved; after the driver is determined to be in a fatigue driving state, corresponding measures are taken, so that dangerous driving of the driver is avoided by means of warning of the driver and the like.

Description

technical field [0001] The invention relates to the field of automobile driving, in particular to a fatigue driving detection system and method. 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: face detection, motion behavior detection, etc....

AI Technical Summary

Problems solved by technology

[0004] However, due to individual differences in drivers and large differences in driving environments such as light and road surfaces, most of the existing fatigue detection algorithm data are based on experiments in simulated driving environments. 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, and the dazzling red light emitted by the light source will interfere with the driver and affect the driver's safe driving.

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