 The paper proposes a system that uses image processing techniques to control an autonomous car. It employs multiple stages of pre-processing to detect lane markers, street signs, and obstacles in the captured images. Additionally, canny edge detection and hoff transform are used to detect and mark the lanes on either side of the car. The proposed system is then implemented into an autonomous car, which demonstrates its ability to detect and classify stop signs and other vehicles. Ultimately, this work emphasizes the importance of autonomous cars as they can significantly reduce road accidents and improve overall driving efficiency. This article was authored by Sean Fernandez, Dhruv Desajja, and Raja Mathalagu.