Fatigue driving early warning system and method based on face recognition technology

Abstract

The invention relates to a fatigue driving early warning system based on a face recognition technology. The system comprises a bearing base, a workbench, CCD cameras, 3D cameras, CMOS sensors and a control system. The workbench is of an arc structure, and a rear end surface is hinged with a front end surface of the bearing base through a turntable mechanism; one CCD camera, one 3D camera and one CMOS sensor form a working group; one working group is located at a midpoint of the workbench, the other two working groups are symmetrically distributed on two sides of the main monitoring working group, and the control system is embedded in the bearing base and electrically connected with the CCD cameras, the 3D cameras, the CMOS sensors, the turntable mechanism and a vehicle trip computer. The use method comprises the four steps of equipment assembly, software platform construction, detection early warning and fatigue early warning. On one hand, the control operation is simple and feasible,and the view of a driver is not disturbed; on the other hand, detection and early warning are comprehensive, and the fatigue driving state of the driver can be evaluated and early warned from multipleangles.

Description

technical field [0001] The invention relates to a fatigue driving early warning system and method based on face recognition technology, belonging to the technical field of driving monitoring. Background technique [0002] In the activities of driving vehicles, due to work factors, natural factors and other reasons, drivers are often in a state of fatigue driving without knowing it. As a result, the risk of traffic accidents increases due to the decline in the driver's attention and other abilities under fatigue driving, which seriously affects the Driving safety, in response to this problem, although a variety of fatigue driving monitoring and reminder devices have been developed, these devices are often based on simple time detection or driver’s eye movement detection, although to a certain extent it can meet the needs of users. However, the detection accuracy is poor, and the detection data is relatively one-sided. It is very easy to cause the detection results to be incon...

AI Technical Summary

Problems solved by technology

[0002] In the activities of driving vehicles, due to work factors, natural factors and other reasons, drivers are often in a state of fatigue driving without knowing it. As a result, the risk of traffic accidents increases due to the decline in the driver's attention and other abilities under fatigue driving, which seriously affects the Driving safety, in response to this problem, although a variety of fatigue driving monitoring and reminder devices have been developed, these devices are often based on simple time detection or driver’s eye movement detection, although to a certain extent it can meet the needs of users. However, the detection accuracy is poor, and the detection data is relatively one-sided. It is very easy to cause the detection results to be inconsistent with the driver's actual situation due to personal factors of the driver and surrounding environmental factors, which affects the accuracy and timeliness of fatigue driving monitoring. The fatigue driving monitoring equipment has a large structure, which often takes up a large space in the car when it is installed and used. It also affects the stability of the installation and positioning. It is easy to damage the fatigue driving monitoring equipment due to vehicle bumps and misuse. It is easy to interfere with the driver's vision and affect driving safety

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