Jul 6, 2021 · This article presents a solution for driver drowsiness detection using a Convolutional Neural Network. The implementation of the project uses a custom CNN architecture with less …

Jun 21, 2023 · Fig. 6, shown in the form of a flow chart how our work will be done regarding the detection of driver drowsiness or yawn detections and seat belt detections starting with when …

This is a drowsiness detection model built with CNN and trained on a dataset of images that contain open and closed eyes. The driver drowsiness detection model is build using the …

In this paper, we propose a hybrid real-time DDD system based on the Eyes Closure Ratio and Mouth Opening Ratio using simple camera and deep learning techniques. This system seeks …

The proposed method for drowsy driver detection using convolutional neural networks and Viola-Jones Haar-like features involves extracting frames from a video and feeding them into a face …

In order to effectively identify driver drowsiness, this research presents a hybrid technique that combines Convolunal Neural Network(CNN) and Haar Cascade. Because of its effectiveness …

This study proposes a DrowsyDetectNet that utilizes a shallow Convolutional Neural Network (CNN) architecture to identify driver drowsiness. The 68-point face landmark identification …

Accordingly, Driver's Drowsiness Detection by utilizing a webcam is being acquainted with limit and decrease the quantity of mishaps including vehicles, Lorries, and trucks.

In this project, we propose a novel driver drowsiness detection method using Convolutional Neural Networks (CNNs) to extract information from images and feed a sequence of such information …

In this article, a deep learning approach is used to provide a continuous strategy for detecting driver’s drowsiness using an efficient dataset. The trained algorithm is employed on the video …