Abstract: One of the main reasons for auto accidents across the world is potholes. It is believed that poor road conditions, of which potholes account for a sizable portion, are to blame for around one-third of all traffic accidents. Traffic jams and accidents are often caused by bad road conditions. You risk losing control of your vehicle if the pothole is really bad or if your vehicle isn't designed to withstand the impact. This frequently results in vehicle accidents, which cause needless deaths. When riding over potholes, motorcycle riders are particularly vulnerable to harm. A bike only has two wheels on the ground, and although being lighter than a car, a motorbike cannot cope up with potholes in the road. The prototype described in this article locates potholes on the road and updates them in the cloud. This method aids in keeping the road in good condition. Additionally, ultrasonic sensors are used to independently measure the depth of the road to find and identify potholes. The suggested architecture additionally makes advantage of IoT to store in the cloud the geographical location of found potholes. For management experts, this data is a valuable resource.

 
Keywords: Hump Detection, PotHole Detection, Animal Detection, Conventional Neural Networks Algorithm, Haar Cascade Algorithm.

| DOI: 10.17148/IARJSET.2023.10214