Augmented Road Safety In India Through Real Time Detection Of Road Hazards

Abstract

Road safety is a critical concern in India, where the prevalence of road hazards, such as potholes, contributes to numerous accidents and fatalities annually. This paper proposes a novel approach to augment road safety through the real-time detection of road hazards using deep learning technology. The objective of this research is to develop a system capable of identifying road hazards, particularly potholes, in real-time, enabling proactive measures to mitigate risks and enhance overall road quality on the basis of number of potholes. A comprehensive review of existing literature on road safety and deep learning technologies for hazard detection forms the basis of this study, revealing a gap in the literature regarding real-time hazard detection systems tailored to the Indian context. Leveraging deep learning techniques, including convolutional neural networks (CNNs)[12], the proposed methodology entails the collection and preprocessing of road image data, training of a deep learning model, and integration into a realtime road hazard detection system. The system deploys sensors and cameras along  roadways, integrating a web interface developed using the Tkinter module for visualization and monitoring. The deep learning model achieves high accuracy in detecting road hazards, notably potholes, contributing significantly to road safety initiatives in India. This scalable solution offers transportation authorities and policymakers actionable insights to implement proactive measures for accident reduction and road quality improvement. A comprehensive review of existing literature on road safety and deep learning technologies for hazard detection Future research will focus on refining and optimizing the system while integrating it with existing infrastructure for widespread deployment and impact. This study highlights the potential of deep learning technology to address road safety challenges, emphasizing the necessity of proactive approaches to enhance road infrastructure and ensure the safety of road users.