This project proposes drowsiness detection and notification system for vehicles and a mobile application for car maintenance. The major objective of the system is to prevent the road accidents caused by driver falling asleep during the travel. The system for drowsiness detection has a camera that monitors the driver’s eye continuously. It calculates the eye aspect ratio to detect if the driver is drowsy. If found drowsy, alarm rings. In this project, a Raspberry Pi board is used for drowsiness detection and alerting the driver. The IoT based mobile application built using android studio proposed here has certain settings like next service date, interval for wheel air checking, interval for wheel alignment. The app is connected to the system using IoT. The information is sent to the system. These settings are notified to the driver through a voice module.
by R N Susheel | B M Mathumitha | Mr. C Raju ""Care – Max for Drowsiness Detection and Notification""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30303.pdf
Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30303/care-%E2%80%93-max-for-drowsiness-detection-and-notification/r-n-susheel
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