Detecting potholes with a machine learning algorithm for road safety

An important part of a country's infrastructure are its roads, which provide a vast transportation network necessary for the movement of people and goods. Road transport is the most cost-effective means of transport in India because it is widely available in densely populated areas. On the other hand, potholes continue to be a major problem that cause delays in transit and, regrettably, fatalities. A system and corresponding algorithms have been developed to detect the probability of potholes in order to tackle this problem. With the least amount of work, Single Shot Detection (SSD) technology is essential to accomplishing the goal. SSD's fast object identification and localisation in photos, along with its real-time processing capabilities, make it possible to detect potholes on road surfaces with efficiency. By utilising SSD technology, the proposed system offers a dependable means of reducing the detrimental effects of potholes on traffic safety and the efficiency of transportation.