This course introduces the basics of computer vision, including how images are represented, color spaces, edge and feature detection, and simple object recognition. Learners will build small projects such as color-based object detectors, edge-detection visualizers, and simple vision pipelines that process real images step by step. By the end of the course, learners will be able to create a mini end-to-end vision system, similar to what’s used in self-driving cars and big-tech AI products, that takes in camera input and makes real decisions from images.