Over the last two decades, lane recognition and tracking has been a hot topic in research, particularly in driver aid applications. It is also an essential method for imaginative, predictive, primarily based fully autonomous vehicle devices. The main thing is to avoid human error, increase safety, reduce road accidents, and save lives. Road lane detection, is a technique for detecting lanes and boundaries. This article explains how to detect and track lanes on the road in an efficient manner. The grayscale conversions are conducted after the camera has been calibrated. The image's edges are subsequently followed by the Canny edge detection method. After that, a region of interest(ROI) is selected. The shape of a triangle that appears in a given location is used to create ROIs. Unwanted are hidden by ROIs. The Hough transform method is then used to identify the accessible track labels. The method has high speed, high accuracy, good dependability, and outstanding robustness, according to the findings of the experiments.