Fatigue driving behavior recognition and analysis detector

Abstract

The invention belongs to the technical field of driving fatigue detection equipment, and particularly relates to a fatigue driving behavior recognition and analysis detector. The fatigue driving behavior recognition and analysis detector comprises a supporting box; an elastic locking strip is arranged on one side of the supporting box, and a neck attaching arm is arranged on the other side of thesupporting box. An elastic laminating film is arranged on the neck laminating arm, and a plurality of human body silica gel strips are arranged on the inner wall of the elastic laminating film; an implantable pulsation sensor is arranged on the human body silica gel strip and is connected to the vehicle-mounted receiver; the bidirectional air cylinder is installed in the supporting box, and the telescopic end of the bidirectional air cylinder is connected with a rack. Rotating grooves are formed in the two ends of the other side of the supporting box, and rotating columns are rotationally arranged in the rotating grooves; the rotating columns are sleeved with gears, and the end of the connecting support is connected with the neck attaching arm. The implanted artery sensor analyzes detecteddata to confirm that a driver falls asleep, slight vibration is generated on the neck of the driver through the neck attaching arm, and then warning operation is conducted on the driver.

Description

technical field [0001] The invention belongs to the technical field of driving fatigue detection equipment, in particular to a fatigue driving behavior recognition and analysis detector. Background technique [0002] With the rapid development of the transportation industry, the number of motor vehicles continues to increase. Traffic accidents have become a serious problem worldwide. Statistics show that the number of deaths caused by traffic accidents in the world reaches 600,000 every year, and the direct economic loss is about 12.5 billion US dollars. Among these accidents, 57% of catastrophic accidents are related to driver fatigue. Although fatigue is a very normal physiological phenomenon, the traffic accidents caused every year have caused huge economic losses and casualties to countries all over the world, and increased social unrest. [0003] Drivers who become so tired after hours of continuous driving can be as dangerous as drunk driving if they continue, resear...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing fatigue driving identification, analysis and detection equipment installs the camera on the top of the car, and makes the camera face the driver's eye position, and this kind of detection equipment is used when the driver wears sunglasses or a cap while driving the vehicle safely. When wearing a hat or sunglasses, it will affect the phenomenon that the camera blocks the driver's eyes, which in turn affects the safe, accurate and efficient detection of the driver's fatigue state by the detection equipment.

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