A Review on Smart Specs

The recent study highlights the critical issue of driver drowsiness, a leading cause of road accidents resulting from fatigue. A system capable of detecting drowsiness and warning drivers at an early stage could significantly reduce the number of drowsiness-related road accidents. Drowsiness refers to a state of being sleepy or having a compelling desire to fall asleep. It is often characterized by reduced alertness, slowness, and difficulty staying awake or maintaining focus. This paper presents a literature review of driver drowsiness detection systems based on the analysis of physiological signals, facial features, driving patterns, and steering wheel monitoring. “Smart glasses,” which utilize an eye blink sensor and Arduino, monitor the driver’s eye movements and trigger a warning using vibrations and a loud buzzer if the driver begins to doze off.