There is currently a serious outbreak in the Democratic Republic of the Congo of the severe and often fatal illness. Symptoms ...
Abstract: Driver Drowsiness Detection (D3) is a challenging task as it requires analysis based on various behavioral and physiological signs such as health issues, mental stress, and exhaustion. Data ...
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device. This project ...
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 ...
Abstract: This paper presents a literature review of driver drowsiness detection based on behavioral measures using machine learning techniques. Faces contain information that can be used to interpret ...
Fatigued drivers are one of the most common hazards on the road, but sleepy-heads on commercial wheels are to get AI-assisted safety prompts courtesy of biometric-tracking technology. The tech ...
Negligence of public transport drivers due to drowsiness poses risks not only to their own lives but also to the lives of passengers. The designed journey tracker system alerts the drivers and ...
This project is a thesis work representing a prototype of an intelligent safety system for detecting driver drowsiness using facial video surveillance. OpenCV libraries have version 4.8.0 in the ...
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