Drowsiness detection system using deep learning based data fusion approachdoi:10.1007/s11042-023-17096-wDrowsy driving is a major cause of road accidents worldwide, and detecting drowsiness in drivers is critical to improving road safety. In this work, we developed a system ...
We have used convolutional neural networks, which is a class of deep learning. We used the Face and Eye regions for detecting drowsiness. We have used the Closed Eye in the Wild dataset (CEW) and Yawing Detection Dataset (YawDD). We achieved an average accuracy of 96%....
Temporal and spatial feature based approaches in drowsiness detection using deep learning technique 来自 Springer 喜欢 0 阅读量: 60 作者:NN Pandey,NB Muppalaneni 摘要: Drowsiness is a term which seems to be very simple but for a moment, it becomes a critical issue for many drivers and workers...
Facial Feature-Based Drowsiness Detection with Multi-Scale Convolutional Neural Network 2023, IEEE Access IoT based mobile driver drowsiness detection using deep learning 2022, Journal of the Faculty of Engineering and Architecture of Gazi University View all citing articles on ScopusView...
Systematic development of real-time driver drowsiness detection system using deep learning Advancements in globalization have significantly seen a rise in road travel. This has also led to increased car accidents and fatalities, which become a gl... T Faisal,I Negassi,BM Awawdeh - 《Iaes Internat...
In this paper, a novel approach towards real-time drowsiness detection is proposed. This approach is based on a deep learning method that can be implemented on Android applications with high accuracy. The main contribution of this work is the compression of heavy baseline model to a lightweight...
关键词: Automobiles; Convolution; Convolutional neural networks; Cost effectiveness; Deep learning; Low power electronics; Convolutional neural network; Cost effective; Deep learning; Detection system; Driver drowsiness; Drowsiness detection; Drowsy driving; Haar cascade; Neural network model; Raspberry pi;...
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture The main purpose of a detection system is to ascertain the state of an individual's eyes, whether they are open and alert or closed, and then alert them to......
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture The main purpose of a detection system is to ascertain the state of an individual's eyes, whether they are open and alert or closed, and then alert them to......
Driver drowsiness detection is a car safety Technology which helps prevent accidents caused by the driver getting drowsy. The following code uses computer vision to observe the driver's face, either using a built-in cameraor on mobile devices. opencv python3 drowsiness-detection Updated Jul 6, ...