Abstract: Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy and cause accidents. The growth of technology supports the society to protect from accidents which happens by human mistakes by building advance accident prevention systems. Drowsy Driver Detection System is developed, using a machine learning and image processing concepts. Proposed system is ready to use for car because of compact hardware which consumes less power and provide much faster processing speed and also can be operated in low light conditions. This system detects the eye landmarks from camera frames for monitoring the drowsiness of driver. The system detects the eye landmark and distance formula is applied to find out that eyes of the driver is open or closed. In case the driver feels drowsy i.e. driver closes eyes for some fraction of time then alert system of car gets activated to prevent accident.
Keywords: Drowsy, machine learning, image processing, eye landmarks.