A Vehicle Collision Detection and Prevention System Using LI-Fi Technology

EasyChair Preprint 15663

Abstract

This project addresses the critical issue of driver invisibility on highways, which often leads to collisions, particularly when smaller vehicles approach large ones such as buses or trucks. Driver invisibility on highways often causes accidents, especially when smaller vehicles are near larger ones, like buses or trucks. This project uses an image processing and Li- Fi technology-based real-time vehicle detection and communication system. On the heavy vehicle, there is a camera and a Li-Fi transmitter, while the approaching vehicle has a Li-Fi receiver. If the smaller vehicle is too close, the system will alert the driver with a dashboard warning. The system works to decrease accidents related to blind spots and late responses. With python- based image processing, accurate detection occurs in every type of weather and lighting conditions. The NodeMCU microcontroller controls the flow of data from the image processing unit and the Li-Fi transmitter. Live data is transmitted over Li-Fi to the incoming vehicle allowing for quicker response from the driver. The system has very minimal latency of less than 100 milliseconds, hence reducing rear-end collisions, especially in poor visibility. This cost effective and scalable solution is suitable for both commercial and passenger vehicles and highlights the potential of Li-Fi technology in improving automotive safety, especially in regions with limited infrastructure.

Keyphrases: Accidents, Driver invisibility, Li-Fi technology, image processing, real-time detection, warning.

@booklet{EasyChair:15663,
  author    = {S Nithya Devi and S D Dinesh Kannan and S Deepthika and D Adhirshya and T Aishwarya},
  title     = {A Vehicle Collision Detection and Prevention System Using LI-Fi Technology},
  howpublished = {EasyChair Preprint 15663},
  year      = {EasyChair, 2025}}