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IoT-based Smart Drowsiness Detection and Alert SystemBy Abubakar ., Samra Shaheen, Hareem Hayee, Rimsha Sarwar, Sawera Shehzadi, Amna Tariq, Muhammad Hamza Zulfiqar
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 →