Abstract: Sleep-induced accidents, particularly in transportation and industrial environments, pose a significant risk to public safety and productivity. The Anti-Sleep Alarm System is an innovative solution designed to combat driver and worker fatigue by detecting early signs of drowsiness and providing real-time alerts. This system integrates physiological monitoring, such as eyelid movement and head posture detection, with machine learning algorithms to accurately predict the onset of sleep. Additionally, it employs auditory, visual, and haptic feedback mechanisms to ensure user alertness without being intrusive. The solution is lightweight, cost-effective, and adaptable to diverse environments, making it a practical tool for enhancing safety and reducing fatigue-related accidents. This paper explores the design, implementation, and efficacy of the Anti-Sleep Alarm System, emphasizing its potential to save lives and improve operational efficiency.

| DOI: 10.17148/IARJSET.2024.111239