While the cost of traffic accidents in Europe is estimated at around 160 billion Euros, driver drowsiness accounts for approximately 100,000 accidents per year in the United States alone as reported by The American National Highway Traffic Safety Administration (NHTSA). In this paper, a novel ...
The proposed approach focuses on building a drowsiness detection mechanism to alert the driver to avoid the catastrophe. In this work, the detection system can identify whether the driver's eyes were closed or open even in low light or dim light and how much time the eyes were in closed ...
This is enormously due to fatigue, drowsiness and microsleep of the drivers. This don't just risk the life of driver and copassengers but also a great threat to the vehicles and humans moving around that vehicle. Methods Research, online content and previously published paper related to ...
A driver drowsiness detection optical three dimensional object (9) recording sensor unit has a hologram (4) dividing a laser (1) light beam (3) into sequentially switched (10) diverging beams (4-8) and a matrix sensor (12) with Fresnel lens (11) imaging light reemitted by the drivers ...
In this paper, we proposed a driver drowsiness detection method for which only eyelid movement information was required. The proposed method consists of two major parts. 1) In order to obtain accurate eye openness estimation, a vision based eye openness recognition method was proposed to obtain an...
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. - nishagandhi/DrowsyDriverDetection
Experimental equipment and environment: Windows 11 64-bit operating system, Intel i7 2.30 GHz processor, 16 GB RAM, NVIDIA Geforce 4070 (GPU), Python (3.7), Keras (Tensorflow2.1) framework. Dataset processing: To meet the experimental requirements, the datasets must be uniformly processed. First...
A drowsiness detection system and method uses Empirical Mode Decomposition (EMD) signal processing to detect whether a vehicle driver is drowsy. The system uses a decomposed component of the steering wheel signal to extract specific features representing the steering control degradation phases. The syste...
Synchronous System for Driver Drowsiness Detection Using Convolutional Neural Network, Computer Vision and Android Technology One of the major reasons behind car accidents is the drowsy nature acquired by a driver while driving any vehicle. Owing to the ongoing scenario, in this p... P Bajaj,R ...
The parameters used for monitoring drowsiness are: eye blinking frequencies and eye closure durations. Initially, the captured image is converted to gray scale to detect the face in video frame. Then, an eye region is extracted from the face region and used to identify closure state. Finally, ...