Safe Lane IoT

Authors

  • Swati S Kagi Assistant Professor, Department of AIML, Sharnbasva University, Kalaburagi, India.
  • Shivani Reddy Students, Department of AIML, Sharnbasva University, Kalaburagi, India.
  • Ashwini Siroor Students, Department of AIML, Sharnbasva University, Kalaburagi, India.
  • Spoorti Patil Students, Department of AIML, Sharnbasva University, Kalaburagi, India.
  • Aishwarya M Students, Department of AIML, Sharnbasva University, Kalaburagi, India.

DOI:

https://doi.org/10.61808/jsrt281

Keywords:

IOT, Road safety, Blind Spot Detection

Abstract

The Accident Detection and Assistance System with Blind Spot Detection is a safety system designed to reduce accidents and improve vehicle safety using a variety of sensors. This system utilizes an Arduino Uno, I2C LCD, ultrasonic sensors for obstacle and blind spot detection, an alcohol sensor for driver condition monitoring, a piezo sensor for accident detection, and a GSM module (SIM900) for emergency communication. The system alerts the driver in case of obstacles, blind spot hazards, alcohol consumption, and accidents. Additionally, it sends SMS notifications to an emergency number in case of critical incidents. This project aims to enhance the safety of the driver and others on the road.

Downloads

Published

09-07-2025

How to Cite

Swati S Kagi, Shivani Reddy, Ashwini Siroor, Spoorti Patil, & Aishwarya M. (2025). Safe Lane IoT. Journal of Scientific Research and Technology, 3(7), 286–296. https://doi.org/10.61808/jsrt281

Issue

JSRT Volume-3 Issue-7 July-2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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