SmartPave: An Advanced IoT-Based System for Real-Time Pothole Detection, Tracking, and Maintenance

Sahel Bej, Swarnava Roy, Debjit Daw, Alok Paul, Shubhojit Saha, Satyabrata Maity, Nimisha Ghosh
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Abstract

In recent times, the use of roadways as a mode of transportation has seen a surge in global popularity. Maintaining well-structured roads is crucial to economic growth and social development, especially in developing countries like India. However, the maintenance of roads is becoming an emerging concern due to poor road conditions and potholes. Potholes are a major road infrastructure problem, causing vehicle damage and posing a risk to road safety. This research proposes an IoT-based pothole-tracking system that uses a deep-learning based object detection mechanism and ultrasonic sensors to detect and track potholes on roads. It aims to contribute to developing effective solutions for improving road safety and maintenance, while also addressing its practicality and cost considerations for its implementation. The results of the proposed work on a dataset of potholes demonstrate its effectiveness in detecting potholes.
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SmartPave:一种先进的基于物联网的坑洼实时检测、跟踪和维护系统
近年来,使用公路作为一种交通方式在全球范围内越来越受欢迎。保持结构良好的道路对经济增长和社会发展至关重要,尤其是在印度这样的发展中国家。然而,由于道路状况不佳和坑坑洼洼,道路的维护正在成为一个新出现的问题。坑洼是道路基础设施的一个主要问题,会造成车辆损坏,并对道路安全构成威胁。本研究提出了一种基于物联网的坑洼跟踪系统,该系统使用基于深度学习的物体检测机制和超声波传感器来检测和跟踪道路上的坑洼。它的目的是促进制定有效的解决办法,以改善道路安全和维修,同时也处理其实施的实用性和成本问题。在坑洼数据集上的研究结果表明了该方法在坑洼检测方面的有效性。
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