About this document
Image-Based Distracted Driver Detection by aakarshkumar2003 is a document available to read on EtoBox.
The document outlines a project aimed at developing a deep learning-based distracted driver detection system that uses image data to classify driver behaviors such as texting and talking. It employs various machine learning algorithms including CNN, KNN, Random Forest, and XGBoost, focusing on creating a scalable and cost-effective solution for real-time monitoring. The system addresses limitations of traditional sensor-based methods and aims to enhance road safety by providing alerts to drivers based on de
- Author
- aakarshkumar2003
- Language
- EN