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About 14 01DrowsyDeepNN PDF
This document proposes a vision-based algorithm to detect driver drowsiness using deep learning techniques. Previous approaches are based on features like blink rate, eye closure, and facial expressions. The proposed algorithm uses a convolutional neural network to learn visual features from unlabeled input data, without human intervention. These learned features are then used by a softmax classifier to classify frames as drowsy or non-drowsy. The algorithm aims to provide a more robust detection of driver drowsiness compared to methods using single visual cues or hand-engineered features.
Detailed Information
Author: | ['Keerthi'] |
---|---|
Publication Year: | 2019 |
Pages: | 5 |
Language: | English |
Format: | |
Price: | FREE |
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