A Deep Learning Technique For Detecting Drowsiness And Notifying Through Mails And Alarm

Drowsiness or Fatigue is the process of impairing an individual's mental and physical abilities. It can happen as a result of not getting enough sleep, extended periods of inactivity, or other factors like medication, alcohol, or clinical settings. The main consequences of being sleepy are the potential for fatalities and injuries. It distinguishes between awake and sleepy phases by analysing factors such as frame posture, eye movements, and facial expressions. Drowsiness can find using brainwave patterns, particularly alpha and theta frequencies. The current process includes OpenCV and deep learning model that helps in detecting face and eyes using 68 face land marks. If a person is drowsy then we will alert a person with the help of alarm and we will send mails to their family or friends that the person is drowsy and inform to kindly alert him, otherwise accidents may occur. The further development which we would like to do is to integrate a chatbot and that helps in keeping the person alert all the time. The current model will have good accuracy and developments to get rid of accidents. The last purpose is to beautify avenue safety and mitigate injuries due to driving force drowsiness, contributing to the general nicely-being of society. The ultimate goal is to enhance road safety and mitigate accidents caused by driver drowsiness, contributing to overall well-being of society.