Automobile anti-fatigue-driving device based on optical eye detection

Abstract

The invention relates to an automobile anti-fatigue-driving device based on optical eye detection; an infrared light emitted by an infrared light source reaches an eye optical system via an eye state detection system an, and is reflected to an infrared photoelectric detector, the parameters of the infrared photoelectric detector are transmitted to a signal analysis and processing system to judge the eye state. As different eye states can transmit corresponding instruction to an alarm signal generation system or an automobile control system. The device can adopt the optical method to realize the eye azimuth and state detection, has no limit on backlight, has low requirement on input beam and wide application range; the device also can realize real-time signal output, high positioning accuracy, convenient use and high stability and reliability; the output signal of the infrared photoelectric detector is the eye state signal, is simply processed to transmit instructions to the automobile electronic system, and has high transmission efficiency; the device has simple system structure and low cost.

Description

technical field [0001] The invention relates to the fields of optics and electronics, in particular to an anti-fatigue driving device for automobiles based on optical human eye detection. Background technique [0002] Some data show that more than 50% of the traffic accidents on the expressway are caused by long-term fatigue driving or monotonous sight of the target, which makes the driver inattentive or even dozes off. [0003] The method and device for automobile anti-fatigue driving based on optical human eye detection refers to the use of the beam convergence of the human eye lens and the reflection characteristics of the retina to check the azimuth and the opening and closing state of the human eye under normal conditions, which can be applied to automobile anti-fatigue driving. Fatigue driving device, stereo display technology, video conferencing, face positioning, military visual guidance, robot visual navigation and other fields. For example, optical human eye detec...

AI Technical Summary

Problems solved by technology

The traditional gray-scale projection method projects the face image horizontally and vertically, and locates the eyes according to the distribution information of the peaks and valleys. It is very sensitive and has poor positioning accuracy; the template matching method is also a commonly used method. After establishing the eye template, find the part that matches the template with the greatest degree in the picture as the eye area

The disadvantage of this method is that the parameters of the template are not easy to determine, and the positioning of inclined faces is often inaccurate

When the eyes are not fully opened or the contrast between the white of the eye and the eyeball is not obvious, the positioning accuracy is low

Images