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Computer vision encompasses the development of techniques and algorithms that enable computers to interpret and understand visual data from the world, much like humans do. It involves designing software that can analyze images and videos to extract meaningful information, identify patterns, and make decisions based on that data. In the context of hardware engineering, computer vision plays a crucial role in creating systems that can interact with the physical world in a more intelligent and responsive manner. By integrating computer vision algorithms into robotic systems, for instance, we can enable those systems to navigate complex environments, recognize objects, and perform tasks more efficiently. Additionally, computer vision is increasingly being used in areas such as augmented reality, autonomous vehicles, and medical imaging, showcasing its wide-ranging applications and potential impact on technology and hardware engineering.