Driver State Monitoring System Using AI

Abstract

Artificial intelligence (AI) is a rapidly expanding field that the world needs. It is frequently used in scenarios where a group of intelligent robots utilize their intelligence to weaken human power. Whether we realize it or not, artificial intelligence plays a vital role in our daily lives. Artificial intelligence and machine learning have replicated human brain processes to offer the more what it wants and to help society go technologically advanced with digital evolution. The state and emotion of a driver can be predicted using machine learning techniques, which can then be utilized to deliver information that will increase road safety. It uses artificial intelligence in some way. The face, a crucial bodily feature, communicates a lot of information. Facial expressions, such as blinking and yawning more frequently than usual, differ from those in a normal state when a driver is fatigued. Systems can automatically learn and develop without being explicitly programmed thanks to artificial intelligence. Bio-indicators, a driver’s conduct while driving, and facial expressions can all be used to gauge a driver’s health. We give an exhaustive survey of driver sleepiness detection and alert systems in this study. We also discuss various machine learning methods that are utilized to assess the driver’s condition, including NumPy, the HOG algorithm, the SVM algorithm, the HAAR-based cascade classifier, and OpenCV. Finally, we list the difficulties that the present systems are facing and discuss the corresponding research potential.