Driver’s Drowsiness Behaviour Detection by Using PSO/DPSO Algorithm for Urban Road System

Drowsiness Detection for Drivers Using Computer Vision

Drowsiness detection system is regarded as an effective tool to reduce the number of road accidents. This project proposes a non-intrusive approach for detecting drowsiness in drivers, using Computer Vision. The algorithm is coded on OpenCV platform in Linux environment. The parameters considered to detect drowsiness are face and eye detection, blinking, eye closure and gaze. Input is captured ...

Countermeasure drowsiness by design - using common behaviour.

This study takes a starting point in what drivers do to avoid drowsiness while driving instead of starting with what researchers know is efficient (Take a short nap). It is concluded that research is missing when it comes to how efficient common behavior countermeasures are and that there is a mismatch between research and how people actually behave. A three stage approach which includes identi...

Driver Drowsiness Detection System Using Image Processing

Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. Studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. Attention assist ...

Road Detection by Neural and Genetic Algorithm in Urban Environment

In the urban object detection challenge organized by the ISPRS WG III/4 high geometric and radiometric resolution aerial images about Vaihingen/Stuttgart, Germany are distributed. The acquired data set contains optical false color, near infrared images and airborne laserscanning data. The presented research focused exclusively on the optical image, so the elevation information was ignored. The ...

Use of Image Processing in Drowsiness Detection among Drivers to Reduce Road Traffic Accidents in Kenya