Abstract
The foremost difficulty nowadays in emerging nations is the preservation of highways. A properly preserved pathway plays a vital part in the nation’s wealth. Recognition of road distress not only assists users in averting mishaps but also diminishes the impairment of vehicles. This article confers the detection of potholes and obstacles that have progressed. It proposes an economical solution to recognize potholes on roads and barriers to alert drivers to avoid mishaps swiftly. Our detection scheme focuses on notifying the person about the disturbances in its path. Ultrasonic sensors are used to spot potholes, as they compute their height and depth, whereas infrared sensors detect obstacles. An Android app warns the driver that precautionary measures are taken to avert mishaps. Furthermore, this model can be progressed by hoarding the positions of the obstructions and gathering the particulars in the cloud so that the transportation governing bodies can retrieve the data for restoration.
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Raviprabhakaran, V., Dharavathu, P., Gopaluni, D., Jale, A. (2024). Automated Revealing and Warning System for Pits and Blockades on Roads to Assist Carters. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_6
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DOI: https://doi.org/10.1007/978-981-99-7954-7_6
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