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A review on real-time automatic system for identifying potholes

Richa Sharma, Prerit Kumar, Suman Kumari, Anuj Kumar, Renu Rani, Hashmat Usmani

Abstract


The Aim of our project is to create a pothole detection system that assists drivers in avoiding potholes on the road by providing prior warnings. Road deterioration and weathering cause potholes to occur. They not only annoy residents but often result in fatal car accidents. Potholes, on the other hand, are a result of asphalt pavement problems and may lead to more accidents. Roads can be prevented from getting worse by spotting potholes and reporting their presence to the relevant departments. Several deep learning architectures were built and tested to detect the potholes. If the driver is approaching a pothole, a buzzer or series of LEDs may sound, or the driver may be warned about a road pothole. Roads are being damaged because of weather conditions, poor construction, and vehicle overloading. When a driver must manually check for potholes while driving, he or she runs the risk of being at a steady pace when a pothole or hump suddenly appears in the road. Accident hazards are higher at this time. This study describes a prototype that can identify potholes in a driver's path and provide updates to the cloud. The project's scope is defined by where the road's irregularity affects the public. This can be used in 4-wheelers, particularly for ambulance drivers, to save many lives in a short period of time

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References


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