Method for real-time detection of driver fatigue based on vision

Abstract

A driver fatigue realtime detection method based on the vision, belongs to the application technical field of the electronic technology, characterized in that, the continuous simulation signals through the infrared filter collected by the pick-up head are converted into the digital image signals through the A / D conversion of the image collection module; the image collection module completes the operating process on the digital image signals, including the pretreatment of the image, the image division, the feature extraction and the fatigue recognition; finally the processing result is displayed through the output module. The hardware in divided into three large modules: an image collection module, an image process module and an image output module. The image collection module includes an infrared sensitive black and white CCD camera, an infrared band-pass filter, an infrared source with a cradle head; the image process module is composed of the TMS320DM642 of the American TI company as the central part; the image output module is a LCD; the system is arranged in the inner of the cab. The invention has the advantages of easy realization, good realtime, higher accuracy of the judgment result, which provides the basis for the real application.

Description

technical field [0001] The invention relates to a vision-based real-time detection method for driver fatigue, which belongs to the technical field of electronic technology applications. Background technique [0002] At present, there are many organizations researching drowsy / fatigue driving detection and drowsiness detection systems under development in the world. Commonly used fatigue / drowsy driving detection technologies include: (1) Measurement of human physiological signals, such as EEG, ECG, and skin potential etc., its main disadvantage is that it requires physical contact, which is not easily accepted. (2) Measuring physical responses, such as blinking frequency, blinking duration, eye movement, head movement, etc., is characterized by being in the developmental stage, effective and without physical contact, and easy to accept. (3) Measure vehicle and road related parameters, such as speed, acceleration, lateral position, white line position, etc. The disadvantage is...

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Problems solved by technology

(3) Measure vehicle and road related parameters, such as speed, acceleration, lateral position, white line position, etc. The disadvantage is that the measured information is not very reliable

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