Fatigue detection system and method based on facial skeleton model, medium and detection equipment

Abstract

The invention discloses a driving fatigue detection system and method based on a facial skeleton model, a medium and detection equipment, and relates to the technical field of image recognition. The method comprises the following steps: identifying an obtained image by using a human body posture detection model; performing 3D skeletization on the obtained recognition image through a pinhole camera model, extracting head posture features and face features by using a face detection model, and calculating fatigue features by using the extracted head and face posture features; detecting the obtained fatigue features by using a classifier to obtain a fatigue detection model, carrying out grading judgment on fatigue by using the fatigue detection model, and interacting with a user by using an APP. According to the method, fatigue behaviors are analyzed, fatigue recognition features are extracted, and a fatigue detection model fusing multiple fatigue features is obtained by using a random forest algorithm. The whole system is realized on the Raspberry Pi, development of a rear end and an APP end is completed, and the whole fatigue detection system has high integrity.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a fatigue detection system, method, medium and detection equipment based on a facial skeleton model. Background technique [0002] At present, with the continuous development of the automobile industry, driving has become one of the most important ways of travel. The car ownership rate of Chinese families continues to rise, and more and more people have driver's licenses, which brings about aggravated traffic congestion. Frequent traffic accidents and other issues, the importance of traffic safety issues continue to rise, becoming one of the major threats to national life safety. According to relevant information, from 2010 to now, the traffic accident rate, especially the probability of major traffic accidents, has increased every year, and the rate of increase has increased every year, which has brought serious consequences to people's traffic safety. cha...

AI Technical Summary

Problems solved by technology

However, the current fatigue detection system still has many problems such as convenience, real-time performance and poor accuracy.

[0006] (2) Existing technology based on wearable fatigue detection system is inconvenient to wear

[0007] (3) In the existing fatigue driving detection, there are many problems such as the driver has to wear special detection equipment, the process is cumbersome, the fatigue detection system equipment is too large and difficult to install, and the recognition degree of fatigue detection is not high.

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