… set of machine learning techniques that one can use to make reliable and precise decisions
for driver drowsiness detection systems. … driver drowsiness detection using machine learning …

… detect the drowsiness of drivers using a deep learning approach. CNN models are utilized to
detect driver drowsiness … OpenCV's Haar cascade algorithm is used to see the driver's face …

… , real time driver’s drowsiness detection system is developed with acceptable accuracy. In
the developed system, a webcam records the video and driver’s face is detected in each frame …

… Automatic detection of driver’s drowsiness can prevent a large number of road accidents …
, an advanced system namely AD3S (Advanced Driver Drowsiness Detection System) using …

… this research is the detection of driver drowsiness and an appropriate response to the detection.
There are … are the three blocks that are present in the detection system. The video of the …

… review of the detection techniques of drowsiness and fatigue of drivers using machine learning
(ML) and deep learning (DL… The detection systems are referred to as sleepiness detection …

… So, technology for driver drowsiness detection system is required to reduce road accidents.
The development of this technology is a big challenge for both an industrial and research …

… The drowsiness detection system developed in this work is part of a … for a driver
drowsiness detection system are proposed, where deep learning plays an important role. These …

… [8] provided a driver drowsiness detection system using a random forest classifier based on
… [9] used the Haar cascade algorithm for driver drowsiness detection by calculating the eye …

… robust drowsiness detection system for real driving conditions. The research objectives
were to develop a robust algorithm based on an accurate and resource efficient deep learning …