Automatic Pothole and Humps Detection and Notification for Drivers
Keywords:
Osteoarthritis, X-ray, Kallgren Lawrence (KL) Classification, SVM algorithm.Abstract
In developing countries, road maintenance is a major problem. The country's economy relies significantly on public transit. Driving a vehicle on a badly maintained road is very dangerous. Rain causes the road's oil-spill quality to degrade. Car accidents may occur as a result of such obstacles. To solve this problem, we have developed a project that we believe would be of the most use to the public. The project's main aim is to automatically detect and report potholes. This article discusses a cost-effective method for detecting potholes and speed bumps on roadways, as well as giving timely warnings to drivers to assist them avoid accidents or vehicle damage. Potholes and humps are detected using ultrasonic sensors, which may also be utilised to assess their depth and height. A global positioning system receiver is used in the proposed system to record the geographic locations of potholes and speed bumps. Some of the discovered data in the database include pothole depth, hump height, and geographic location. This is a valuable resource for both government officials and motorists. As an alert, flash messages with an audible buzzer are used.
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