IoT-Based Accident Prevention and Real-Time Monitoring System for Hill Bend Roads

DOI

10.2991/978-94-6463-754-0_62How to use a DOI?

Keywords

Safety System; Vehicle Detection; Traffic Lights; GPS Tracking; Live Streaming; Web Interface; Voice Alerts; Accident Prevention

Abstract

This project focuses on improving safety on hill bend roads, using an advanced safety system. The system uses an ESP32-CAM module with an integrated GPS to monitor both sides of the bend and detect approaching vehicles. The camera captures images and divides the view into two sections-one for each side of the bend. Using image processing, the system can identify vehicles on either side. When a vehicle approaches from one side of the bend, a red light is triggered on the opposite side to warn oncoming traffic. If vehicles approach from both sides at the same time, red lights are activated on both sides, alerting drivers to potential danger. If there are no vehicles detected, green lights are shown, indicating it is safe to pass. In the next phase, the project will allow for live streaming of the camera feed to a webpage. Every second, the camera captures and updates images that users can view. The system will use the GPS data to calculate the user’s location and check whether they are within a certain distance from the camera. If they are close enough, the live stream will automatically start. If they are too far away, the stream will stop to save bandwidth. In addition to live streaming, the system will include voice and text alerts to warn drivers when a vehicle is detected. These alerts will help drivers stay focused and aware, further reducing the risk of accidents. By combining real-time vehicle detection, location tracking, and live communication, this project aims to make driving on hill bend roads safer and more efficient.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - D. Shofia Priyadharshini
AU  - S. Kiruthika
AU  - G. Nithiyasri
AU  - V. Kirankumar
PY  - 2025
DA  - 2025/06/30
TI  - IoT-Based Accident Prevention and Real-Time Monitoring System for Hill Bend Roads
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 716
EP  - 721
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_62
DO  - 10.2991/978-94-6463-754-0_62
ID  - Priyadharshini2025
ER  -