2025/10/14 by Himel Ghosh, Ghosh, Himel, S. Chatterjee +7
Engineering · #Autonomous Vehicle Technology and Safety #FOS: Electrical engineering #Fire Detection and Safety Systems #IoT and GPS-based Vehicle Safety Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2510.12205
openalex created_date 2021/12/06 · openalex publication_date 2025/10/14 · openalex updated_date 2026/07/28
The most startling of the contemporary problems is the sleepiness of chauffeur which causes lots of car accidents. Prevention of those impending accidents by detecting and alerting the sleepy chauffeur is vital, otherwise that would lead to loss of lives and various traumas along with severe injuries. The slumber or sleep may be caused by huge stress, pressure, relentless work load or alcoholism, for which sleep deprivation occurs and the chauffeur while driving gets drowsy. So far, considerable amount of systems has been developed to detect drowsiness of drivers, most of which mainly depend on image processing algorithms using cameras. Some of them also incorporate artificial intelligence and machine learning based algorithms. This paper presents a review of the existing systems and also proposes an easy and cheap system using sensors and Arduino, capable of detecting sleepiness and generates siren alarm and send alert message to take precautionary measures.