Road Bump Detection and Voice Alert System Using YOLOv8 and gTTS

Abstract

Roadway bumps present a significant hazard to drivers, leading to discomfort, vehicle damage, and even accidents. This research paper proposes an innovative solution for bump detection and driver/vehicle response using advanced artificial intelligence (AI) techniques. This research paper explores the application of the YOLOv8 algorithm for detecting road bumps and generating voice alerts to enhance road safety. The proposed system utilizes a camera based approach installed in vehicles to detect road bumps in real-time. Upon detection, a voice alert is generated using the gTTS library, informing the driver of an impending bump ("Bump is near you"). The primary objective is to provide drivers with timely information to reduce vehicle speed and avoid discomfort or potential accidents caused by road bumps. Additionally, the paper discusses the feasibility of integrating this AI algorithm into car systems to automate speed reduction when bumps are detected. By leveraging sensors and advanced algorithms, car companies could enhance vehicle safety by ensuring that vehicles automatically slow down upon approaching a road bump, mitigating the risk of accidents and minimizing wear and tear on vehicles. Furthermore, the study investigates the impact of road bumps on accidents, emphasizing the importance of early detection and driver awareness. By addressing this issue, the proposed system aims to contribute to improved road safety, reduced accident rates, and enhanced driving experience for all road users.