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@article{171539,
        author = {Sahnashree Subhas Talagade and MEGHARANI SOODI and Nikita chidanand mirje and Anjali M Shiraguppi},
        title = {ANTI-SLEEP DETECTOR FOR DRIVERS USING IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {8},
        pages = {400-403},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171539},
        abstract = {The anti-sleep alarm detector for drivers utilizes an Arduino uno as its core component along with an eye blink sensor. The system aims to prevent accidents caused by driver drowsiness. During driving, the driver wears the eye blink sensor frame, which continuously monitors eye blinks. If the driver's eyes remain closed for a specific duration, indicating drowsiness or sleep, the system triggers both audio and vibration alerts. A buzzer sounds, and a vibrator attached to the eye blink sensor vibrates to wake up the driver. To address this critical safety concern, an innovative anti-sleep alarm system has been developed using an Arduino Uno microcontroller. The system employs an eye blink sensor mounted on the user's spectacles to detect drowsiness. The eye blink sensor continuously monitors the driver's eye blink patterns. When the driver's eyes remain closed for a specific duration (indicating drowsiness), the system activates. Simultaneously, a vibration sensor attached to the eye blink sensor frame vibrates, providing tactile feedback to the driver. Additionally, an audible buzzer emits a sound, ensuring that even if the driver misses the vibration, the vehicle goes slowdown. By promptly detecting drowsiness, it significantly reduces the risk of accidents caused by driver fatigue. Feeling sleepy while driving can lead to hazardous traffic accidents. To address this critical safety concern, an anti-sleep alarm system has been developed using an Arduino Uno. The key components include an eye blink sensor, Arduino Uno, vibration sensor, buzzer and 9V battery. The eye blink sensor, mounted on the user's spectacles, detects drowsiness based on eye blink patterns.},
        keywords = {},
        month = {December},
        }