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About A Real Time Deep Learning Based Driver Monitoring System
This document summarizes a research paper that proposes a real-time deep learning-based driver monitoring system using a smartphone. The system aims to detect distracted or drowsy drivers in a platform-agnostic way without external hardware. It employs a convolutional neural network for facial detection, feature extraction, image classification, and alert generation. The system will be trained on both publicly available and privately collected data. Previous related work on driver monitoring is discussed, including vehicle-based, subjective, behavioral, and physiological methods as well as deep learning approaches.
Detailed Information
| Author: | ['mulyadi samadi'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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