Computer Vision (CV) is a branch of computer science focused on enabling computers to interpret and process image and video data, similar to human vision but without subjective experience. This technology, rooted in early studies of human visual perception, has been significantly advanced by artificial intelligence and machine learning, allowing computers to classify, identify, and analyze images with great accuracy. The computer vision pipeline involves image acquisition, pre-processing, feature extraction, and high-level processing tasks such as classification and object detection. CV has a wide range of applications across industries, including medical imaging, facial recognition, augmented reality, and self-driving cars, leveraging techniques like machine learning, neural networks, and 3D reconstruction to better understand visual stimuli. As computational power continues to grow, CV is poised to make substantial contributions to various fields, enhancing how we interact with digital content.