Machine Learning-based Intelligent Smart Warning System in Twisty Swerve in Hill Station using IoT
Open Access
Dr. Gnanamurugan S , Badmapriya S, Boomikadevi S, Kiruthiga M, Mathumitha M
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Corresponding Author
Dr. Gnanamurugan S
Assistant Professor, Department of Electronics and Communication Engineering, Vivekananda College of Engineering for Women, TamilNadu, India
sgmvcew@vcew.ac.in
200
Pages: 84-92
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Cite this article
S, Dr. Gnanamurugan, Badmapriya S, Boomikadevi S, Kiruthiga M, and Mathumitha M. "Machine Learning-based Intelligent Smart Warning System in Twisty Swerve in Hill Station using IoT." Journal of Trends in Computer Science and Smart Technology 5, no. 1 (2023): 84-92
DOI
10.36548/jtcsst.2023.1.006
Abstract
The surveyed reports state that about 10% of car accidents in the hilly areas happen on curved roads. It is risky to drive through curves and bends. Therefore, this work suggests a hairpin bend road collision prevention system using Internet of Things (IoT). The proposed design employing IoT strives to prevent the collisions by initiating warning alarms on detecting vehicles on the either side of the hairpin bend. The detection of the vehicles in the either side is performed using an ultrasonic sensor.
Keywords
ESP8266 NodeMCU
Raspberry Pi Pico
Buzzer.200
LCD