IEEE

An Enhanced Approach to Detect Driver Drowsiness System Using Opencv and Keras

Abstract: The phenomenon of driver drowsiness constitutes a critical determinant in the incidence of road traffic accidents, resulting in numerous injuries and fatalities on a global scale. The ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...
Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
IEEE

Driver Drowsiness Detection and Adaptive Braking System

Abstract: Road accidents due to driver fatigue account for a significant percentage of incidents. This paper introduces a Driver Drowsiness Detection and Adaptive Braking System aimed at improving ...
Autoblog

Tesla Just Changed How It Punishes Inattentive Drivers

Tesla regularly issues software updates to fix problems and add new features, and the latest revision came with some interesting changes. Not a Tesla App reported that the automaker is changing how ...
Scientific Research Publishing

Chirra, V., ReddyUyyala, S. and KishoreKolli, V. (2019) Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.

ABSTRACT: This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from ...