Enhancing Road Safety: Real-Time Vehicle Detection and Distance Estimation with YOLO v5 – I-Bike.

Abstract

In the modern world people leisurely go cycling. Although cycling is considered as a good sport, good physical and mental activity people rarely chose cycling as their hobby. The main reason for this is the lack of technical advancement and safety features in the cycle. Even in accidents, cyclist has to endure a lot of damage. The ultimate aim of this research paper is to increase the level of security and technical advancement in the traditional cycle and modify it into an I-Bike. The solution proposed for problem is a deep learning YOLO neural network model which is used for Real time vehicle detection, distance estimation and notification. There will be a helmet used by the cyclist in which a camera will be installed. The cyclist will be notified with notifications in case any vehicles approaching him/her in the near proximity.