Paper Key : IRJ************917
Author: Pugazhenthi Thaniarasu I R,Gokulraj K,Dhanushkumar G,Mariaamutha R
Date Published: 28 Oct 2023
Abstract
Pedestrian Detection using Image Processing for Vehicle Application is a groundbreaking innovation aimed at enhancing road safety and the functionality of vehicular systems. This project leverages advanced image processing techniques and state-of-the-art deep learning methodologies, including YOLOv4, to develop a real-time pedestrian detection system. The system's core objective is to proactively identify pedestrians in the vicinity of vehicles, thereby mitigating the risks associated with pedestrian-related accidents. The system's adaptability to diverse environmental conditions, real-time processing capabilities, and seamless integration with vehicular systems make it a promising candidate for future transportation technologies. While challenges such as data quality, computational resources, and privacy considerations exist, this project addresses them diligently, prioritizing responsible technology development. In conclusion, Pedestrian Detection using Image Processing for Vehicle Application represents a transformative step towards safer roads, aligning with the evolution of smart and autonomous vehicles and laying the foundation for more secure and efficient transportation systems in the future.