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Deep Learning for Fatigue Driving Detection by Alreign Deo Miel is a document available to read on EtoBox.

What is Deep Learning for Fatigue Driving Detection about?

The document presents a fatigue driving detection algorithm that utilizes deep learning and facial multi-index fusion to identify driver fatigue based on facial features. It improves the multi-task cascaded convolutional neural network (MTCNN) for accurate face and key point detection, and employs a depth separable convolution neural network (E-MSR Net) for recognizing eye and mouth states. The proposed method achieves a high accuracy of 97.5% on a self-made dataset, demonstrating its effectiveness in compl

Author

Alreign Deo Miel

Language

EN