The advancement of Autonomous Vehicle technology and the development of the automotive sector both takes the benefit with the use of computer vision. In this research article, we have provided a thoroughly organized, high-level analysis of computer vision, which is widely employed in the automotive industry. By using machine learning with all the features and operating procedures necessary for employing the same technology, we have proposed a concept of sophisticated computer vision for autonomous vehicles. Software and hardware aspects of it using a method based on machine learning has been discussed that will produce reliable results. Technological advancements have been highlighted with predicted reliable results, and difficulties that can be overcome when putting our suggested approach into practice. Finally, actual-world examples of cutting-edge computer vision with applications like self-driving cars, assembly automation, quality control, and more have been presented. The automotive industry may greatly profit from this strategy of superior computer vision with machine learning, data optimization, and cutting-edge tools & technology. For future prospective, this level of methodology can be used for other industries as well like health and agriculture etc.