AI-Driven Speed Breaker Detection and Alert System

The AI-Driven Speed Breaker Detection and Alert System aims to improve road safety by detecting road hazards such as speed breakers, potholes, and damaged road surfaces in real time. The system uses a camera-based approach combined with the YOLOv8 deep learning model to analyses live video frames. The model identifies road anomalies under various lighting and environmental conditions and provides timely alerts to the driver. The system generates both visual and audio warnings, helping to reduce accidents, prevent sudden braking, and enhance driving comfort. This approach demonstrates the effective use of computer vision and artificial intelligence in intelligent transportation systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-22
DOI
https://doi.org/10.5281/zenodo.19690113
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Speed Breaker Detection and Alert System

Arpit Arvind tatte, Yaseer Khan, Rohan Jayant Meshram, Krushna Ganesh Chinkure, Kapil Jadhav, Prof.Manoj Manohar
Zenodo (CERN European Organization for Nuclear Research)
Infrastructure Maintenance and Monitoring
article

AI-Driven Speed Breaker Detection and Alert System

Arpit Arvind tatte, Yaseer Khan, Rohan Jayant Meshram, Krushna Ganesh Chinkure, Kapil Jadhav, Prof.Manoj Manohar
article en

Abstract

The AI-Driven Speed Breaker Detection and Alert System aims to improve road safety by detecting road hazards such as speed breakers, potholes, and damaged road surfaces in real time. The system uses a camera-based approach combined with the YOLOv8 deep learning model to analyses live video frames. The model identifies road anomalies under various lighting and environmental conditions and provides timely alerts to the driver. The system generates both visual and audio warnings, helping to reduce accidents, prevent sudden braking, and enhance driving comfort. This approach demonstrates the effective use of computer vision and artificial intelligence in intelligent transportation systems.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 9%
Infrastructure Maintenance and Monitoring
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