Smart Vision System For Driver Alertness Detection

26 May
Posted on Author

Authors: Dr.P.Prasanna Murali Krishna, Dr.D.Satyanarayana, Yammani Najarayudu, Shaik Mahaboob Sarif, Betham Prabhudas, Venna Lakshmireddy

Abstract: Fatigue and drowsiness are major contributors to automobile accidents, which kill over 1.3 million people annually. With the use of facial landmark detection, the Advanced Drowsiness Detection System is able to accomplish the aforementioned framework, which in turn reduces the total number of road accidents and the weariness that causes drivers to doze off. This technology uses a facial recognition algorithm to identify signs of sleepiness in a user's face. It finds the driver's face and follows its movements to calculate the Eye Aspect Ratio (EAR), a verified way to identify sleepiness. This technology utilizes Driving Behaviour Analysis (DBA) to identify when drivers are drowsy, which in turn decreases deaths and increases road safety. The goal of this technology is to make transportation safer and to prevent drivers from becoming sleepy while operating.

DOI: https://doi.org/10.5281/zenodo.20392582