Road Lane Line Detection in Smart Cities using Image Processing Technique.

In light of growing metropolitan traffic, safety when driving has grown more and more persuasive. The majority of fatalities on the roads are caused by drivers leaving their lanes while following the required laws. Many of them are a consequence of the driver's disrupted and drowsy attitude. Lane discipline is essential for both driving and protecting pedestrians on the road. The proposed research seeks to detect lane markings in order to produce a safe and advanced traffic system. The proposed device's capabilities include displaying lane line locations to the driver on any exterior display to more complicated programs such as recognizing lane changes within the near future so that injuries caused on the roadways may be avoided. The proposed strategy aims to detect markings for lanes on the roadway by providing a video of the road using computer vision technology to reduce the incidence of accidents. The proposed system was installed in automobiles and cabs to reduce the number of accidents caused by careless driving along the road. In addition, the efficiency of motorists in transportation-related sectors can be tracked in order to detect and report driver irresponsibility and lack of focus on the roads. [ABSTRACT FROM AUTHOR]