M.Abdul Rehman KhanFahad ZafarTahir KhalilAli Ammar2019-01-042019-01-042016https://escholar.umt.edu.pk/handle/123456789/3525Syed Farooq AliMost of the accidents happen due to distraction of driver. Distraction of driver depends upon different aspects that mostly consist of talking/chatting with others while driving, evading road safety and signs, the mood or actions of driver is not good, if the driver is angry, fatigued, excited, listening loud sound of music, not in good condition of physical health, worried, etc. All these aspects result in the interruption of a driver's focus. We propose approaches that detect anger, fatigue and normal person's expression using the facial points. These facial points are spotted by BoRMaN (Boosted Regression with Markov Networks). The detected facial expression in different frames are then tested and trained via Neural Networks which tells that driver is distracted or not.enBoosted Regression, Markov Networks, Digital Single Lens Reflex CameraBSThesis