Early warning system and method for safe driving

Abstract

The invention discloses an early warning system and a method for safe driving. The system comprises a collecting unit, a processing unit and a warning unit which are sequentially connected, wherein the collecting unit is provided with an infrared camera used for acquiring real-time image information of a driver's face; the processing unit is provided with an image enhancement processing module for performing enhancement processing on the image information, a search module for searching in the image information to obtain image information of a face iris region and a nostril region of the driver, a calculating module for obtaining the current iris area and the sight direction of the driver through calculation and an early warning signal generating module for generating early warning signals through a preset mode according to the iris area and the sight direction obtained through the calculation. The early warning method for safe driving corresponds to the early warning system. According to the system and the method, real-time monitoring and timely warning can be performed on fatigue and distraction of the driver, driving security accidents can be reduced, the processing speed is high, the warning is accurate, and the production cost is low.

Description

Technical field [0001] The present invention relates to the technical field of safe driving of vehicles, in particular to a safe driving early warning method. Background technique [0002] Most of the institutions that studied driving fatigue used PERCLOS80 (the time it takes when the eyelid covers 80% of the pupil area and the percentage of the specific time) as a measure of physiological fatigue. Under normal circumstances, the time from opening to closing of eyes is between 0.05 and 0.1 seconds. If it exceeds 0.2 seconds, traffic accidents are prone to occur while driving. [0003] The existing non-contact fatigue driving alarm system generally installs an infrared camera in front of the driver's seat of the car, which is mainly aimed at the eyes of the driver to monitor the driver's blinking activity. If the driver is dozing off, the eyelid blinking will slow down, and the alarm system will emit a sharp warning sound to wake the driver from the doze. [0004] Due to the complex...

AI Technical Summary

Problems solved by technology

[0004] Due to the complexity of the implementation method of the existing fatigue detection technology, the amount of calculation is very large. It can only process about 20 frames of face images per second. When blinking, it only takes 1 to 2 frames under normal conditions, and only 3 frames under fatigue conditions. When it reaches 4 frames, it is difficult to accurately detect the blinking process, so misjudgment or missed judgment may occur

And the currently available fatigue driving monitoring and early warning devices are difficult to popularize due to the high cost

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