Driver fatigue detection method based on neural network
A driver fatigue, neural network technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as difficulty in implementation, lack of robustness, and the influence of driver driving habits, so as to reduce detection time. , Wide detection range and high detection accuracy
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[0068] Hereinafter, the present invention will be further described in detail with reference to the examples and drawings, but the implementation of the present invention is not limited thereto.
[0069] The present invention aims to provide a method for detecting driver fatigue with high accuracy and high scalability, which can protect the life safety of pedestrians and the property safety of other vehicles while helping the driver protect himself. The present invention proposes a driver fatigue detection framework based entirely on neural network, which consists of three parts, including face and key point detection, key region extraction, driver fatigue state detection; using face detection and face key point detection The combined cascaded neural network outputs the face and five key points, including eyes, nose and corners of the mouth, and then uses the region extraction algorithm to extract the mouth and eyes, and inputs the extraction results to the state recognition netwo...
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