The main objective of this paper is to determine the feasibility of designing a driver
drunkenness detection system based on the dynamic analysis of a subject's pupillary light …

Nowadays with the rapid development of technologies, machine vision has been used
widely in various industries. The main applications of machine vision in industrial product …

Driver drowsiness is a primary cause of several highway calamities leads to severe physical
injuries, loss of money, and loss of human life. The implementation of driver drowsiness …

Automatic recognition of the eye states is essential for diverse computer vision applications
related to drowsiness detection, facial emotion recognition (FER), human–computer …

Detection of face and eyes in unrestricted conditions has been a problem for years due to
various expressions, illumination, and color fringing. Recent studies show that deep learning …

ABSTRACT Purpose: Photographic Hirschberg test applications are practical options for
screening in areas where a specialist is not available. A semi-automated Hirschberg test …

This paper presents IoT-based monitoring system for drowsiness detection for automotive
drivers in real-time. The proposed system undergoes three levels of drowsiness detection …

Facial recognition is one of the most secure modes of authorization which uses samples of
photographs or videos to authorize a person's identity. Facial recognition has its own …

Access to computer technology is of vital importance to people with disabilities. Eyes can be
regarded as one of the organs that can help a paralyzed person to communicate suitably …

Driving in fatigue is a severe issue in current times. Lorry drivers, car drivers, and bus drivers
drive long distance during day and night. Driving even when drowsy is the main cause of …