RoadEye- A Safer Drive


EOI: 10.11242/viva-tech.01.06.005

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Citation

Rohit Ghorui, Sakshi Negi, Vinay Chippa, Prof. Saniket Kudoo, "RoadEye- A Safer Drive", VIVA-IJRI Volume 1, Issue 6, Article 5, pp. 1-6, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Potholes are a major nuisance for drivers, and can also cause significant damage to vehicles. RoadEye is a pothole detection system that uses dashcam footage to identify and report potholes to road maintenance authorities. This system can help to make roads safer and more efficient,and can also save drivers money on repairs. RoadEye uses a deep learning model to identify potholes in dashcam footage. The model has been trained on a large dataset of images of potholes. When the model is presented with a new image, it can identify whether or not it contains a pothole, and if so, it can easily add its location on a map, so that user’s can be alerted while approaching a pothole. RoadEye can help to improve data collection on road conditions. This data can be used to make informed decisions about road maintenance and infrastructure planning. RoadEye can be used to create a crowdsourced database of potholes. This database can be used by drivers to plan their routes and avoid potholes.

Keywords

Pothole Detection , Dashcam footage, Location mapping, Road maintenance. Driver alert, Safety improvement.

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