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26 articles for “driver drowsiness detection”
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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Detection System for Driver Somnolence
Abstract: Driver fatigue detection may be a vehicle device that aids in preventing accidents brought on by drowsy driving. numerous studies have schooled that around simple fraction of all road accidents a fatigue-related, up to one-half on bound roads. Many of these devices track driver behavior and can detect when a driver starts to feel sleepy. In the field of accident avoidance systems, the development of technology for the identification or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 20–25 Read article
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ESP32-Based Vehicle Security and Driver Safety System
Abstract: This paper presents an ESP32-based intelligent vehicle security and driver safety system designed to improve both automobile protection and road safety through advanced sensor integration and real-time monitoring. The proposed system combines biometric authentication, driver behavior analysis, obstacle detection, and emergency communication into a single compact platform. A fingerprint sensor (R307) is used to provide secure vehicle access, ensuring that only authorized users can start the vehicle. To enhance driver …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 9–18 Read article
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IoT-based Smart Drowsiness Detection and Alert System
Abstract: Drowsiness detection systems are necessary in the current era, as drowsy driving contributes to about 20% of all traffic accidents. Approximately 50,000 people have accidents due to drowsy driving annually. Because driving when tired is dangerous, new strategies must be devised to mitigate the impact. Our system is a microcontroller-based system for protecting drivers from unsafe driving based on the physiological parameter of eye blinking. The proposed system detects the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 45–50 Read article
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Assistant for Safe Driving Using IOT
Abstract: Deadly road accidents can be reduced by understanding the psychological and mental state of drivers. Majority of road accident occurred during night driving due to drowsiness state of vehicle drivers. Safety driving assistant is an IOT based goggles which helps the user to drive safely.Whenever driver falls a sleep system detects it and then alerts him using creating unpleasant sound which can help the user to wake up. System is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 1–6 Read article
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IoT-based Driver's Doziness Detection
Abstract: A couple of lakh injuries have happened because of numerous factors, including terrible usage, avoiding protection, motive force fatigue, and so forth. According to statistics, driver indolence constitutes 40% of injuries. Internet of things (IoT) can assist in decreasing the number of accidents. To resolve this problem, a machine for motive force doziness detection is presented in this article. This device uses a system learning algorithm to usually monitor the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article