Driver fatigue driving detection system based on machine vision and detection method

Abstract

The invention provides a driver fatigue driving detection system based on machine vision and a detection method, and belongs to the technical field of machine vision and machine learning. The system belongs to a non-intrusive type detection system. When detection is performed, needed information is acquired through a camera, normal driving of a driver is not influenced, and equipment is low in price and small in size; and a Bluetooth camera only needs to be installed in a vehicle, and app software is installed in a mobile phone, and then fatigue detection for the drive can be achieved. Information acquisition of the system is convenient and easy; when the system is used, only the camera is externally added, and then the system can adapt to any-type vehicle and any road condition; and the system has a consistent fatigue judgment criteria and the high fatigue judgment accuracy rate. The system integrates fatigue characteristics of eyes, a mouth and a face, the accuracy rate of fatigue judgments in complex driving environment is improved, and system parameters are rapidly updated through combination with the machine learning according to feedback of the driver so that the system adapts to different characteristics of different drivers. The system has the advantages of short training time, the rapid computing speed and high real-time performance.

Description

technical field [0001] The invention belongs to the technical fields of machine vision and machine learning, and in particular relates to a driver fatigue driving detection system and detection method based on machine vision. Background technique [0002] Fatigue driving is one of the main causes of traffic accidents. Around the world, many car accidents are caused by drowsy driving every year. According to the survey statistics of the U.S. National Highway Safety Administration (NHTSA), there are 100,000 traffic accidents caused by fatigue driving every year, accounting for more than 16% of the total traffic accidents. The fatigue driving detection system can detect the fatigue state of the driver in real time and send an alarm to the occupants in time when the fatigue driving occurs. Cost losses play an important role. [0003] There are mainly three types of information based on the existing fatigue driving detection system, which are the driver's physiological informa...

AI Technical Summary

Problems solved by technology

The fatigue detection system based on the driver's physiological information requires corresponding information collection equipment, such as electrocardiographs, electroencephalographs, etc., to directly contact the driver, which seriously interferes with the driver's normal driving

At the same time, due to the expensive price and huge volume of these devices, the popularization of this type of system has been further hindered.

For the fatigue detection system based on vehicle behavior information, due to the differences between different models and different road conditions, it is difficult to collect vehicle behavior information such as steering wheel angle, accelerator pedal force, distance between the vehicle and the road centerline, etc.

And because different drivers have different driving hab

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